Revize c20f287b
Přidáno uživatelem Michal Linha před více než 4 roky(ů)
src/main/java/vldc/aswi/database/DatabaseInterface.java | ||
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97 | 97 |
public Map<String, TableColumn> executeQueryAndReturnTableColumns(String sqlQuery) { |
98 | 98 |
return jdbcTemplate.query( |
99 | 99 |
sqlQuery, |
100 |
new ResultSetExtractor<Map<String, TableColumn>>() { |
|
101 |
@Override |
|
102 |
public Map<String, TableColumn> extractData(ResultSet resultSet) throws SQLException, DataAccessException { |
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103 |
List<TableColumn> tableColumnsList = new ArrayList<>(); |
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100 |
resultSet -> { |
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101 |
List<TableColumn> tableColumnsList = new ArrayList<>(); |
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104 | 102 |
|
105 |
ResultSetMetaData resultSetMetaData = resultSet.getMetaData();
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|
106 |
int columnCount = resultSetMetaData.getColumnCount();
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103 |
ResultSetMetaData resultSetMetaData = resultSet.getMetaData(); |
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104 |
int columnCount = resultSetMetaData.getColumnCount(); |
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107 | 105 |
|
108 |
// The column count starts from 1.
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|
109 |
for (int i = 1; i <= columnCount; i++ ) {
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110 |
String columnName = resultSetMetaData.getColumnName(i);
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111 |
tableColumnsList.add(new TableColumn(columnName));
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}
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// The column count starts from 1. |
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107 |
for (int i = 1; i <= columnCount; i++ ) { |
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String columnName = resultSetMetaData.getColumnName(i); |
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tableColumnsList.add(new TableColumn(columnName)); |
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} |
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113 | 111 |
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114 |
// Add values from row to every column. |
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115 |
while(resultSet.next()) { |
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116 |
for (int i = 1; i <= columnCount; i++) { |
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117 |
tableColumnsList.get(i - 1).addValue(resultSet.getString(i)); |
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118 |
} |
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112 |
// Add values from row to every column. |
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113 |
while(resultSet.next()) { |
|
114 |
for (int i = 1; i <= columnCount; i++) { |
|
115 |
tableColumnsList.get(i - 1).addValue(resultSet.getString(i)); |
|
119 | 116 |
} |
117 |
} |
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120 | 118 |
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121 |
Map<String, TableColumn> tableColumnMap = new HashMap<>(); |
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122 |
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123 |
// Create map, where key is tablecolumn name. |
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124 |
for (TableColumn column : tableColumnsList) { |
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125 |
tableColumnMap.put(column.getName(), column); |
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126 |
} |
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119 |
Map<String, TableColumn> tableColumnMap = new HashMap<>(); |
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127 | 120 |
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128 |
return tableColumnMap; |
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121 |
// Create map, where key is tablecolumn name. |
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122 |
for (TableColumn column : tableColumnsList) { |
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tableColumnMap.put(column.getName(), column); |
|
129 | 124 |
} |
125 |
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126 |
return tableColumnMap; |
|
130 | 127 |
} |
131 | 128 |
); |
132 | 129 |
} |
src/main/java/vldc/aswi/model/table/BooleanWrapper.java | ||
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1 |
package vldc.aswi.model.table; |
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2 |
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public class BooleanWrapper { |
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private boolean value; |
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public BooleanWrapper(boolean value) { |
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this.value = value; |
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} |
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11 |
public boolean isValue() { |
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return value; |
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} |
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public void setValue(boolean value) { |
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this.value = value; |
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} |
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} |
src/main/java/vldc/aswi/model/table/DoubleWrapper.java | ||
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1 |
package vldc.aswi.model.table; |
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public class DoubleWrapper { |
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private double value; |
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public DoubleWrapper(double value) { |
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this.value = value; |
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} |
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public double getValue() { |
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return value; |
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} |
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public void setValue(double value) { |
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this.value = value; |
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} |
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} |
src/main/java/vldc/aswi/model/table/Node.java | ||
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1 | 1 |
package vldc.aswi.model.table; |
2 | 2 |
|
3 | 3 |
import java.util.ArrayList; |
4 |
import java.util.Collection; |
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5 | 4 |
import java.util.List; |
6 | 5 |
|
7 | 6 |
/** |
... | ... | |
9 | 8 |
*/ |
10 | 9 |
public class Node { |
11 | 10 |
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11 |
private double totalResult; |
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private double totalResultAvg; |
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private double totalResultAvgSum; |
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private double totalResultSum; |
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18 |
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private double totalMin; |
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20 |
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private double totalMax; |
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22 |
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private boolean isFirstMin; |
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private boolean isFirstMax; |
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|
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12 | 27 |
/** |
13 | 28 |
* Values of the nodes on a path the the node. |
14 | 29 |
*/ |
... | ... | |
18 | 33 |
* Creates a node. |
19 | 34 |
*/ |
20 | 35 |
public Node() { |
36 |
isFirstMin = true; |
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isFirstMax = true; |
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21 | 38 |
this.values = new ArrayList<>(); |
22 | 39 |
} |
23 | 40 |
|
... | ... | |
26 | 43 |
* @param node node to be copied |
27 | 44 |
*/ |
28 | 45 |
public Node(Node node) { |
46 |
isFirstMin = true; |
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isFirstMax = true; |
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29 | 48 |
this.values = new ArrayList<>(node.values); |
30 | 49 |
} |
31 | 50 |
|
... | ... | |
44 | 63 |
public void setValues(List<String> values) { |
45 | 64 |
this.values = values; |
46 | 65 |
} |
66 |
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public double getTotalResult() { |
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return totalResult; |
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} |
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70 |
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public void setTotalResult(double totalResult) { |
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this.totalResult = totalResult; |
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} |
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74 |
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75 |
public double getTotalResultAvg() { |
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return totalResultAvg; |
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77 |
} |
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78 |
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79 |
public void setTotalResultAvg(double totalResultAvg) { |
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80 |
this.totalResultAvg = totalResultAvg; |
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} |
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82 |
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83 |
public double getTotalResultAvgSum() { |
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84 |
return totalResultAvgSum; |
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85 |
} |
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86 |
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87 |
public void setTotalResultAvgSum(double totalResultAvgSum) { |
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88 |
this.totalResultAvgSum = totalResultAvgSum; |
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} |
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90 |
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91 |
public double getTotalResultSum() { |
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92 |
return totalResultSum; |
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93 |
} |
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94 |
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public void setTotalResultSum(double totalResultSum) { |
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this.totalResultSum = totalResultSum; |
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} |
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public double getTotalMin() { |
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return totalMin; |
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} |
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public void setTotalMin(double totalMin) { |
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this.totalMin = totalMin; |
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} |
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106 |
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107 |
public double getTotalMax() { |
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return totalMax; |
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} |
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110 |
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111 |
public void setTotalMax(double totalMax) { |
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112 |
this.totalMax = totalMax; |
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113 |
} |
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114 |
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115 |
public boolean isFirstMin() { |
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116 |
return isFirstMin; |
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117 |
} |
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118 |
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119 |
public void setFirstMin(boolean firstMin) { |
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isFirstMin = firstMin; |
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} |
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122 |
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public boolean isFirstMax() { |
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return isFirstMax; |
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} |
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126 |
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127 |
public void setFirstMax(boolean firstMax) { |
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isFirstMax = firstMax; |
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} |
|
47 | 130 |
} |
src/main/java/vldc/aswi/model/table/ValueFunction.java | ||
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6 | 6 |
*/ |
7 | 7 |
public class ValueFunction { |
8 | 8 |
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9 |
private double totalResult = 0.0; |
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10 |
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11 |
private double totalResultAvg; |
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12 |
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private double totalResultAvgSum; |
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private double totalResultSum; |
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private double totalMin; |
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18 |
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private double totalMax; |
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20 |
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private boolean isFirstMin = true; |
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private boolean isFirstMax = true; |
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24 |
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9 | 25 |
/** |
10 | 26 |
* Value |
11 | 27 |
*/ |
12 |
private String value; |
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private String nameOfSelect; |
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29 |
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30 |
private String name; |
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31 |
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13 | 32 |
/** |
14 | 33 |
* Function |
15 | 34 |
*/ |
16 | 35 |
private String function; |
17 | 36 |
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37 |
private String type; |
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38 |
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18 | 39 |
/** |
19 | 40 |
* Creates an instance of the class |
20 |
* @param value value
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* @param nameOfSelect value
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21 | 42 |
* @param function function |
22 | 43 |
*/ |
23 |
public ValueFunction(String value, String function) { |
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this.value = value; |
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public ValueFunction(String nameOfSelect, String name, String function, String type) { |
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this.nameOfSelect = nameOfSelect; |
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this.name = name; |
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25 | 47 |
this.function = function; |
48 |
this.type = type; |
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26 | 49 |
} |
27 | 50 |
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28 | 51 |
/** |
29 | 52 |
* Gets value. |
30 | 53 |
* @return value |
31 | 54 |
*/ |
32 |
public String getValue() {
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return value;
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public String getNameOfSelect() {
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return nameOfSelect;
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34 | 57 |
} |
35 | 58 |
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36 | 59 |
/** |
37 | 60 |
* Sets value. |
38 |
* @param value value
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* @param nameOfSelect value
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39 | 62 |
*/ |
40 |
public void setValue(String value) { |
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this.value = value; |
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public void setNameOfSelect(String nameOfSelect) { |
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this.nameOfSelect = nameOfSelect; |
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} |
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public String getName() { |
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return name; |
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} |
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70 |
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public void setName(String name) { |
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this.name = name; |
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42 | 73 |
} |
43 | 74 |
|
44 | 75 |
/** |
... | ... | |
56 | 87 |
public void setFunction(String function) { |
57 | 88 |
this.function = function; |
58 | 89 |
} |
90 |
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public String getType() { |
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return type; |
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} |
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94 |
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public void setType(String type) { |
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this.type = type; |
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} |
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98 |
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public double getTotalResult() { |
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return totalResult; |
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} |
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102 |
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public void setTotalResult(double totalResult) { |
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104 |
this.totalResult = totalResult; |
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} |
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public double getTotalResultAvg() { |
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return totalResultAvg; |
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} |
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110 |
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public void setTotalResultAvg(double totalResultAvg) { |
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this.totalResultAvg = totalResultAvg; |
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} |
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114 |
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115 |
public double getTotalResultAvgSum() { |
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return totalResultAvgSum; |
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} |
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118 |
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119 |
public void setTotalResultAvgSum(double totalResultAvgSum) { |
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this.totalResultAvgSum = totalResultAvgSum; |
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} |
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122 |
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123 |
public double getTotalResultSum() { |
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return totalResultSum; |
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} |
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126 |
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public void setTotalResultSum(double totalResultSum) { |
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128 |
this.totalResultSum = totalResultSum; |
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} |
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130 |
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public double getTotalMin() { |
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return totalMin; |
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} |
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134 |
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public void setTotalMin(double totalMin) { |
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136 |
this.totalMin = totalMin; |
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} |
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138 |
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139 |
public double getTotalMax() { |
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140 |
return totalMax; |
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141 |
} |
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142 |
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143 |
public void setTotalMax(double totalMax) { |
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144 |
this.totalMax = totalMax; |
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} |
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146 |
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147 |
public boolean isFirstMin() { |
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148 |
return isFirstMin; |
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149 |
} |
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150 |
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151 |
public void setFirstMin(boolean firstMin) { |
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152 |
isFirstMin = firstMin; |
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153 |
} |
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154 |
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155 |
public boolean isFirstMax() { |
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156 |
return isFirstMax; |
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157 |
} |
|
158 |
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159 |
public void setFirstMax(boolean firstMax) { |
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160 |
isFirstMax = firstMax; |
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161 |
} |
|
59 | 162 |
} |
src/main/java/vldc/aswi/model/table/contingencyTable/ContingencyTableRow.java | ||
---|---|---|
37 | 37 |
cells.add(cell); |
38 | 38 |
} |
39 | 39 |
|
40 |
/** |
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41 |
* Add new cells from the list into current row. |
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42 |
* @param cells - List of new cells. |
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43 |
*/ |
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44 |
public void addTableRowCells(List<ContingencyTableRowCell> cells) { |
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45 |
this.cells.addAll(cells); |
|
46 |
} |
|
47 |
|
|
40 | 48 |
/** |
41 | 49 |
* Check if current row is header or not. |
42 | 50 |
* @return True if current row is header, false if not. |
src/main/java/vldc/aswi/service/SqlQueryManagerImpl.java | ||
---|---|---|
4 | 4 |
import org.springframework.beans.factory.annotation.Autowired; |
5 | 5 |
import org.springframework.stereotype.Service; |
6 | 6 |
import vldc.aswi.database.DatabaseInterface; |
7 |
import vldc.aswi.domain.Assembly; |
|
8 | 7 |
import vldc.aswi.domain.Configuration; |
9 | 8 |
import vldc.aswi.domain.Function; |
10 | 9 |
import vldc.aswi.domain.parameter.ParameterInConfiguration; |
... | ... | |
14 | 13 |
import vldc.aswi.model.table.contingencyTable.ContingencyTableRow; |
15 | 14 |
import vldc.aswi.utils.Converter; |
16 | 15 |
|
17 |
import javax.sql.DataSource; |
|
18 | 16 |
import java.util.*; |
19 | 17 |
import java.util.concurrent.TimeUnit; |
20 | 18 |
|
... | ... | |
23 | 21 |
*/ |
24 | 22 |
@Service |
25 | 23 |
@Slf4j |
26 |
public class SqlQueryManagerImpl implements SqlQueryManager{ |
|
24 |
public class SqlQueryManagerImpl implements SqlQueryManager {
|
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27 | 25 |
|
28 |
/** Autowired databaseInterface component. */ |
|
26 |
/** |
|
27 |
* Autowired databaseInterface component. |
|
28 |
*/ |
|
29 | 29 |
@Autowired |
30 | 30 |
private DatabaseInterface databaseInterface; |
31 | 31 |
|
32 | 32 |
/** |
33 | 33 |
* Get list of contingencyTableRow. |
34 |
* |
|
34 | 35 |
* @param configuration - configuration from which table will be created. |
35 | 36 |
* @return List of contingencyTableRow. |
36 | 37 |
*/ |
37 | 38 |
@Override |
38 | 39 |
public List<ContingencyTableRow> getContingencyTableRow(Configuration configuration) { |
39 | 40 |
long startTime = System.nanoTime(); |
41 |
|
|
40 | 42 |
Map<String, TableColumn> tableColumns = this.databaseInterface.executeQueryAndReturnTableColumns( |
41 |
configuration.getAssembly().getSQLQuery()
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43 |
generateFullSQLQuery(configuration.getAssembly().getSQLQuery(), configuration.getParametersInConfiguration())
|
|
42 | 44 |
); |
45 |
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43 | 46 |
long stopTime = System.nanoTime(); |
44 | 47 |
System.out.println("Select:" + TimeUnit.MILLISECONDS.convert((stopTime - startTime), TimeUnit.NANOSECONDS)); |
45 | 48 |
List<NameUserName> rowNames = new ArrayList<>(); |
... | ... | |
49 | 52 |
// sort parameters in configuration to have them in order set by user |
50 | 53 |
Collections.sort(configuration.getParametersInConfiguration()); |
51 | 54 |
|
52 |
// TODO: 28.05.2020 map would be better |
|
53 |
for(ParameterInConfiguration parameterInConfiguration : configuration.getParametersInConfiguration()) { |
|
54 |
if (parameterInConfiguration.getLocation() != null && parameterInConfiguration.getLocation().getName().equals("Řádek")) { |
|
55 |
rowNames.add(new NameUserName(parameterInConfiguration.getParameter().getNameOfSelect().toUpperCase(), |
|
56 |
parameterInConfiguration.getColumnName())); |
|
57 |
} |
|
58 |
else if (parameterInConfiguration.getLocation() != null && parameterInConfiguration.getLocation().getName().equals("Sloupec")) { |
|
59 |
columnNames.add(new NameUserName(parameterInConfiguration.getParameter().getNameOfSelect().toUpperCase(), |
|
60 |
parameterInConfiguration.getColumnName())); |
|
61 |
} |
|
62 |
else if(parameterInConfiguration.getLocation() != null && parameterInConfiguration.getLocation().getName().equals("Hodnota")) { |
|
63 |
for (Function function : parameterInConfiguration.getFunctions()) { |
|
64 |
valueFunctions.add(new ValueFunction(parameterInConfiguration.getParameter().getNameOfSelect().toUpperCase(), |
|
65 |
function.getName().toUpperCase())); |
|
66 |
} |
|
67 |
} |
|
68 |
} |
|
55 |
initializeContingencyTableDataLists(rowNames, columnNames, valueFunctions, configuration.getParametersInConfiguration()); |
|
69 | 56 |
|
70 |
Converter converter = new Converter(); |
|
71 |
return converter.convertTableColumnsToContingencyTableRows(tableColumns, rowNames, columnNames, valueFunctions);
|
|
57 |
Converter converter = new Converter(tableColumns, rowNames, columnNames, valueFunctions);
|
|
58 |
return converter.convertTableColumnsToContingencyTableRows(); |
|
72 | 59 |
} |
73 | 60 |
|
74 | 61 |
/** |
75 | 62 |
* Validate given SQL query. |
63 |
* |
|
76 | 64 |
* @param sqlQuery - Validated SQL query. |
77 | 65 |
* @return true if SQL query is ok, false if not. |
78 | 66 |
*/ |
... | ... | |
83 | 71 |
|
84 | 72 |
/** |
85 | 73 |
* Get list of table column names from SQL query. |
74 |
* |
|
86 | 75 |
* @param sqlQuery - SQL query. |
87 | 76 |
* @return List of table column names. |
88 | 77 |
*/ |
89 | 78 |
public List<String> getNameOfColumnsFromQuery(String sqlQuery) { |
90 | 79 |
return this.databaseInterface.getNameOfColumnsFromQuery(sqlQuery); |
91 | 80 |
} |
81 |
|
|
82 |
private void initializeContingencyTableDataLists(List<NameUserName> rowNames, List<NameUserName> columnNames, |
|
83 |
List<ValueFunction> valueFunctions, List<ParameterInConfiguration> parametersInConfiguration) { |
|
84 |
for (ParameterInConfiguration parameterInConfiguration : parametersInConfiguration) { |
|
85 |
if (parameterInConfiguration.getLocation() != null && parameterInConfiguration.getLocation().getName().equals("Řádek")) { |
|
86 |
rowNames.add(new NameUserName(parameterInConfiguration.getParameter().getNameOfSelect().toUpperCase(), |
|
87 |
parameterInConfiguration.getColumnName())); |
|
88 |
} else if (parameterInConfiguration.getLocation() != null && parameterInConfiguration.getLocation().getName().equals("Sloupec")) { |
|
89 |
columnNames.add(new NameUserName(parameterInConfiguration.getParameter().getNameOfSelect().toUpperCase(), |
|
90 |
parameterInConfiguration.getColumnName())); |
|
91 |
} else if (parameterInConfiguration.getLocation() != null && parameterInConfiguration.getLocation().getName().equals("Hodnota")) { |
|
92 |
for (Function function : parameterInConfiguration.getFunctions()) { |
|
93 |
valueFunctions.add(new ValueFunction(parameterInConfiguration.getParameter().getNameOfSelect().toUpperCase(), |
|
94 |
parameterInConfiguration.getParameter().getName(), function.getName().toUpperCase(), |
|
95 |
parameterInConfiguration.getParameter().getParameterType().getName())); |
|
96 |
} |
|
97 |
} |
|
98 |
} |
|
99 |
} |
|
100 |
|
|
101 |
private String generateFullSQLQuery(String basicSQLQuery, List<ParameterInConfiguration> parametersInConfiguration) { |
|
102 |
StringBuilder finalSQLQuery = new StringBuilder("SELECT * FROM ("); |
|
103 |
finalSQLQuery.append(basicSQLQuery); |
|
104 |
finalSQLQuery.append(")"); |
|
105 |
|
|
106 |
boolean isWhereDefined = false; |
|
107 |
|
|
108 |
for (ParameterInConfiguration parameterInConfiguration : parametersInConfiguration) { |
|
109 |
if (parameterInConfiguration.getOperator() != null && !parameterInConfiguration.getOperator().getName().equals("zadny") && |
|
110 |
parameterInConfiguration.getOperatorValue() != null && !parameterInConfiguration.getOperatorValue().equals("")) { |
|
111 |
String[] values = parameterInConfiguration.getOperatorValue().split(";"); |
|
112 |
if (!isWhereDefined) { |
|
113 |
finalSQLQuery.append(" WHERE "); |
|
114 |
isWhereDefined = true; |
|
115 |
} else { |
|
116 |
finalSQLQuery.append(" AND "); |
|
117 |
} |
|
118 |
|
|
119 |
finalSQLQuery.append(parameterInConfiguration.getParameter().getNameOfSelect()); |
|
120 |
finalSQLQuery.append(" "); |
|
121 |
finalSQLQuery.append(parameterInConfiguration.getOperator().getName()); |
|
122 |
finalSQLQuery.append(" "); |
|
123 |
switch (parameterInConfiguration.getOperator().getName()) { |
|
124 |
case "BETWEEN": |
|
125 |
case "NOT BETWEEN": |
|
126 |
finalSQLQuery.append(betweenNotBetween(values, parameterInConfiguration.getParameter().getParameterType().getName())); |
|
127 |
break; |
|
128 |
case "IN": |
|
129 |
case "NOT IN": |
|
130 |
finalSQLQuery.append(inNotIn(values, parameterInConfiguration.getParameter().getParameterType().getName())); |
|
131 |
break; |
|
132 |
case "LIKE": |
|
133 |
case "NOT LIKE": |
|
134 |
finalSQLQuery.append(likeNotLike(values, parameterInConfiguration.getParameter().getParameterType().getName())); |
|
135 |
break; |
|
136 |
default: |
|
137 |
finalSQLQuery.append(otherOperators(values, parameterInConfiguration.getParameter().getParameterType().getName())); |
|
138 |
break; |
|
139 |
} |
|
140 |
|
|
141 |
} |
|
142 |
} |
|
143 |
|
|
144 |
return finalSQLQuery.toString(); |
|
145 |
} |
|
146 |
|
|
147 |
private String likeNotLike(String[] values, String type) { |
|
148 |
StringBuilder SQLQueryPart = new StringBuilder(); |
|
149 |
addQuotes(type, SQLQueryPart); |
|
150 |
SQLQueryPart.append(values[0]); |
|
151 |
addQuotes(type, SQLQueryPart); |
|
152 |
|
|
153 |
return SQLQueryPart.toString(); |
|
154 |
} |
|
155 |
|
|
156 |
private String inNotIn(String[] values, String type) { |
|
157 |
StringBuilder SQLQueryPart = new StringBuilder(); |
|
158 |
SQLQueryPart.append("("); |
|
159 |
for (int i = 0; i < values.length; i++) { |
|
160 |
addQuotes(type, SQLQueryPart); |
|
161 |
SQLQueryPart.append(values[i]); |
|
162 |
addQuotes(type, SQLQueryPart); |
|
163 |
if (i < values.length - 1) { |
|
164 |
SQLQueryPart.append(","); |
|
165 |
} |
|
166 |
} |
|
167 |
SQLQueryPart.append(")"); |
|
168 |
|
|
169 |
return SQLQueryPart.toString(); |
|
170 |
} |
|
171 |
|
|
172 |
private String betweenNotBetween(String[] values, String type) { |
|
173 |
StringBuilder SQLQueryPart = new StringBuilder(); |
|
174 |
|
|
175 |
addQuotes(type, SQLQueryPart); |
|
176 |
SQLQueryPart.append(values[0]); |
|
177 |
addQuotes(type, SQLQueryPart); |
|
178 |
|
|
179 |
SQLQueryPart.append(" AND "); |
|
180 |
|
|
181 |
addQuotes(type, SQLQueryPart); |
|
182 |
SQLQueryPart.append(values[1]); |
|
183 |
addQuotes(type, SQLQueryPart); |
|
184 |
|
|
185 |
return SQLQueryPart.toString(); |
|
186 |
} |
|
187 |
|
|
188 |
private String otherOperators(String[] values, String type) { |
|
189 |
StringBuilder SQLQueryPart = new StringBuilder(); |
|
190 |
|
|
191 |
addQuotes(type, SQLQueryPart); |
|
192 |
SQLQueryPart.append(values[0]); |
|
193 |
addQuotes(type, SQLQueryPart); |
|
194 |
|
|
195 |
return SQLQueryPart.toString(); |
|
196 |
} |
|
197 |
|
|
198 |
private void addQuotes(String type, StringBuilder SQLQueryPart) { |
|
199 |
if (type.equals("Text") || type.equals("Datum")) { |
|
200 |
SQLQueryPart.append("'"); |
|
201 |
} |
|
202 |
} |
|
92 | 203 |
} |
src/main/java/vldc/aswi/utils/Converter.java | ||
---|---|---|
1 | 1 |
package vldc.aswi.utils; |
2 | 2 |
|
3 |
import vldc.aswi.model.table.NameUserName; |
|
4 |
import vldc.aswi.model.table.Node; |
|
5 |
import vldc.aswi.model.table.TableColumn; |
|
6 |
import vldc.aswi.model.table.ValueFunction; |
|
3 |
import vldc.aswi.model.table.*; |
|
7 | 4 |
import vldc.aswi.model.table.contingencyTable.ContingencyTableRow; |
8 | 5 |
import vldc.aswi.model.table.contingencyTable.ContingencyTableRowCell; |
9 | 6 |
|
10 |
import javax.persistence.criteria.CriteriaBuilder;
|
|
7 |
import java.text.DecimalFormat;
|
|
11 | 8 |
import java.util.ArrayList; |
12 | 9 |
import java.util.List; |
13 | 10 |
import java.util.Map; |
... | ... | |
18 | 15 |
*/ |
19 | 16 |
public class Converter { |
20 | 17 |
|
21 |
private List<Node> rowNodes; |
|
18 |
private final Map<String, TableColumn> tableColumns; |
|
19 |
private final List<NameUserName> rowNames; |
|
20 |
private final List<NameUserName> columnNames; |
|
21 |
private final List<ValueFunction> valueFunctions; |
|
22 |
|
|
22 | 23 |
private List<Node> columnNodes; |
24 |
private final DecimalFormat decimalFormat = new DecimalFormat("0.###"); |
|
25 |
|
|
26 |
public Converter(Map<String, TableColumn> tableColumns, List<NameUserName> rowNames, List<NameUserName> columnNames, |
|
27 |
List<ValueFunction> valueFunctions) { |
|
28 |
this.tableColumns = tableColumns; |
|
29 |
this.rowNames = rowNames; |
|
30 |
this.columnNames = columnNames; |
|
31 |
this.valueFunctions = valueFunctions; |
|
32 |
} |
|
23 | 33 |
|
24 | 34 |
/** |
25 | 35 |
* Convert Map of TableColumns into list of ContingencyTableRow. |
26 |
* @param tableColumns - Map of TableColumn. |
|
27 | 36 |
* @return List of ContingencyTableRow. |
28 | 37 |
*/ |
29 |
public List<ContingencyTableRow> convertTableColumnsToContingencyTableRows(Map<String, TableColumn> tableColumns, |
|
30 |
List<NameUserName> rowNames, |
|
31 |
List<NameUserName> columnNames, |
|
32 |
List<ValueFunction> valueFunctions) { |
|
38 |
public List<ContingencyTableRow> convertTableColumnsToContingencyTableRows() { |
|
33 | 39 |
long startTime = System.nanoTime(); |
34 | 40 |
List<ContingencyTableRow> contingencyTableRows = new ArrayList<>(); |
35 | 41 |
|
36 | 42 |
long startTime2 = System.nanoTime(); |
37 |
List<ContingencyTableRow> headerRows = createHeaderOnlyRows(tableColumns, columnNames, valueFunctions);
|
|
43 |
List<ContingencyTableRow> headerRows = createHeaderOnlyRows(); |
|
38 | 44 |
long stopTime2 = System.nanoTime(); |
39 | 45 |
System.out.println("Headers:" + TimeUnit.MILLISECONDS.convert((stopTime2 - startTime2), TimeUnit.NANOSECONDS)); |
40 | 46 |
|
41 | 47 |
long startTime3 = System.nanoTime(); |
42 |
List<ContingencyTableRow> dataRows = createDataRows(tableColumns, columnNames, rowNames, valueFunctions);
|
|
48 |
List<ContingencyTableRow> dataRows = createDataRows(); |
|
43 | 49 |
long stopTime3 = System.nanoTime(); |
44 | 50 |
System.out.println("Rows:" + TimeUnit.MILLISECONDS.convert((stopTime3 - startTime3), TimeUnit.NANOSECONDS)); |
45 | 51 |
|
... | ... | |
54 | 60 |
|
55 | 61 |
/** |
56 | 62 |
* Generates header rows. |
57 |
* @param tableColumns Map of TableColumn |
|
58 |
* @param columnNames list of column and user column names |
|
59 |
* @param valueFunctions list of values and their functions |
|
60 | 63 |
* @return list of contingency table rows |
61 | 64 |
*/ |
62 |
private List<ContingencyTableRow> createHeaderOnlyRows(Map<String, TableColumn> tableColumns, |
|
63 |
List<NameUserName> columnNames, List<ValueFunction> valueFunctions) { |
|
65 |
private List<ContingencyTableRow> createHeaderOnlyRows() { |
|
64 | 66 |
List<List<String>> values = new ArrayList<>(); |
65 | 67 |
columnNodes = new ArrayList<>(); |
66 | 68 |
List<ContingencyTableRow> headerRows = new ArrayList<>(); |
67 | 69 |
|
68 | 70 |
List<String> valueOptions = new ArrayList<>(); |
69 | 71 |
for (ValueFunction valueFunction : valueFunctions) { |
70 |
valueOptions.add(valueFunction.getFunction() + " z " + valueFunction.getValue());
|
|
72 |
valueOptions.add(valueFunction.getFunction() + " z " + valueFunction.getName());
|
|
71 | 73 |
} |
72 | 74 |
values.add(valueOptions); |
73 | 75 |
headerRows.add(new ContingencyTableRow(true, 0)); |
... | ... | |
108 | 110 |
for(ValueFunction valueFunction: valueFunctions) { |
109 | 111 |
if (i == 0) { |
110 | 112 |
headerRows.get(i).addTableRowCell(new ContingencyTableRowCell("Celkový " + valueFunction.getFunction() + |
111 |
" z " + valueFunction.getValue(), 1));
|
|
113 |
" z " + valueFunction.getName(), 1));
|
|
112 | 114 |
} else { |
113 | 115 |
headerRows.get(i).addTableRowCell(new ContingencyTableRowCell("", 1)); |
114 | 116 |
} |
... | ... | |
144 | 146 |
|
145 | 147 |
/** |
146 | 148 |
* Creates data rows. |
147 |
* @param tableColumns Map of TableColumn |
|
148 |
* @param columnNames list of column and user column names |
|
149 |
* @param rowNames list of row and user row names |
|
150 |
* @param valueFunctions list of values and their functions |
|
151 | 149 |
* @return list of contingency table rows |
152 | 150 |
*/ |
153 |
private List<ContingencyTableRow> createDataRows(Map<String, TableColumn> tableColumns, List<NameUserName> columnNames, |
|
154 |
List<NameUserName> rowNames, List<ValueFunction> valueFunctions) { |
|
151 |
private List<ContingencyTableRow> createDataRows() { |
|
155 | 152 |
List<ContingencyTableRow> dataRows = new ArrayList<>(); |
156 |
rowNodes = new ArrayList<>(); |
|
153 |
List<Node> rowNodes = new ArrayList<>();
|
|
157 | 154 |
List<List<String>> values = new ArrayList<>(); |
158 | 155 |
for(NameUserName nameUserName : rowNames) { |
159 | 156 |
TableColumn column = tableColumns.get(nameUserName.getName()); |
... | ... | |
166 | 163 |
long stopTime = System.nanoTime(); |
167 | 164 |
System.out.println("Rows List:" + TimeUnit.MILLISECONDS.convert((stopTime - startTime), TimeUnit.NANOSECONDS)); |
168 | 165 |
|
166 |
boolean[] usableColumns = new boolean[(valueFunctions.size() * columnNodes.size())]; |
|
167 |
|
|
168 |
List<ContingencyTableRow> rowsToBeRemoved = new ArrayList<>(); |
|
169 | 169 |
for (int i = 0; i < dataRows.size(); i++) { |
170 |
fillRowWithData(dataRows.get(i), tableColumns, rowNodes.get(i), rowNames, columnNames, valueFunctions); |
|
170 |
if (!fillRowWithData(dataRows.get(i), rowNodes.get(i), usableColumns)) { |
|
171 |
rowsToBeRemoved.add(dataRows.get(i)); |
|
172 |
} |
|
173 |
} |
|
174 |
|
|
175 |
dataRows.removeAll(rowsToBeRemoved); |
|
176 |
|
|
177 |
// for (ContingencyTableRow row : dataRows) { |
|
178 |
// List<ContingencyTableRowCell> cellsToRemove = new ArrayList<>(); |
|
179 |
// for (int i = 1; i < usableColumns.length; i++) { |
|
180 |
// if (!usableColumns[i - 1]) { |
|
181 |
// cellsToRemove.add(row.getCells().get(i)); |
|
182 |
// } |
|
183 |
// } |
|
184 |
// row.getCells().removeAll(cellsToRemove); |
|
185 |
// cellsToRemove.clear(); |
|
186 |
// } |
|
187 |
|
|
188 |
ContingencyTableRow finalRow = new ContingencyTableRow(false, 0); |
|
189 |
finalRow.addTableRowCell(new ContingencyTableRowCell("Celkem", 1)); |
|
190 |
|
|
191 |
int columnIndex = 0; |
|
192 |
List<ContingencyTableRowCell> valueCells = new ArrayList<>(); |
|
193 |
for (ValueFunction valueFunction : valueFunctions) { |
|
194 |
for (Node columnNode : columnNodes) { |
|
195 |
if (true) { |
|
196 |
finalRow.addTableRowCell(generateFilledCell(valueFunction.getFunction(), columnNode.getTotalResult(), columnNode.getTotalResultSum(), |
|
197 |
columnNode.getTotalMin(), columnNode.getTotalMax(), columnNode.getTotalResultAvgSum(), |
|
198 |
columnNode.getTotalResultAvg())); |
|
199 |
columnIndex++; |
|
200 |
} |
|
201 |
} |
|
202 |
valueCells.add(generateFilledCell(valueFunction.getFunction(), valueFunction.getTotalResult(), valueFunction.getTotalResultSum(), |
|
203 |
valueFunction.getTotalMin(), valueFunction.getTotalMax(), valueFunction.getTotalResultAvgSum(), |
|
204 |
valueFunction.getTotalResultAvg())); |
|
171 | 205 |
} |
172 | 206 |
|
207 |
finalRow.addTableRowCells(valueCells); |
|
208 |
|
|
209 |
dataRows.add(finalRow); |
|
210 |
|
|
173 | 211 |
return dataRows; |
174 | 212 |
} |
175 | 213 |
|
... | ... | |
226 | 264 |
/** |
227 | 265 |
* Fills each data row with data. |
228 | 266 |
* @param row row to ne filled with data |
229 |
* @param tableColumns Map of TableColumn |
|
230 | 267 |
* @param node node of the row |
231 |
* @param rowNames list of row names and user names |
|
232 |
* @param columnNames list of column names and user names |
|
233 |
* @param valueFunctions list of values and their functions |
|
234 | 268 |
*/ |
235 |
private void fillRowWithData(ContingencyTableRow row, Map<String, TableColumn> tableColumns, Node node, |
|
236 |
List<NameUserName> rowNames, List<NameUserName> columnNames, List<ValueFunction> valueFunctions) { |
|
269 |
private boolean fillRowWithData(ContingencyTableRow row, Node node, boolean[] usableColumns) { |
|
270 |
if (valueFunctions.size() == 0) { |
|
271 |
return true; |
|
272 |
} |
|
273 |
|
|
274 |
boolean isSingleValueRow = false; |
|
275 |
|
|
276 |
if (node.getValues().size() <= 1) { |
|
277 |
isSingleValueRow = true; |
|
278 |
} |
|
279 |
|
|
280 |
boolean isRowUsable = false; |
|
237 | 281 |
if (columnNodes.size() == 0) { |
238 | 282 |
columnNodes.add(new Node()); |
239 | 283 |
} |
240 | 284 |
|
241 |
List<Integer> usableIDs = getUsableIDs(tableColumns, node, rowNames);
|
|
285 |
List<Integer> usableIDs = getUsableIDs(node);
|
|
242 | 286 |
|
243 |
int[] totals = new int[valueFunctions.size()]; |
|
287 |
DoubleWrapper[] totals = new DoubleWrapper[valueFunctions.size()]; |
|
288 |
initializeWrapperField(totals); |
|
289 |
|
|
290 |
DoubleWrapper[] totalsAvgSum = new DoubleWrapper[valueFunctions.size()]; |
|
291 |
initializeWrapperField(totalsAvgSum); |
|
292 |
|
|
293 |
boolean[] isFilledValueCells = new boolean[valueFunctions.size()]; |
|
294 |
int columnIndex = 0; |
|
244 | 295 |
//hodnota |
245 | 296 |
for (int v = 0; v < valueFunctions.size(); v++) { |
297 |
BooleanWrapper isFirstMinMaxTotal = new BooleanWrapper(true); |
|
246 | 298 |
ValueFunction valueFunction = valueFunctions.get(v); |
247 | 299 |
//sloupec v kont. tabulce |
248 | 300 |
for (Node columnNode : columnNodes) { |
249 |
int result = 0; |
|
301 |
DoubleWrapper result = new DoubleWrapper(0); |
|
302 |
DoubleWrapper resultAvgSum = new DoubleWrapper(0); |
|
303 |
BooleanWrapper isFirstMinMax = new BooleanWrapper(true); |
|
304 |
boolean isFilledCell = false; |
|
250 | 305 |
// radek v orig. tabulce |
251 | 306 |
for (Integer usableID : usableIDs) { |
252 | 307 |
boolean isUsable = true; |
253 | 308 |
int j; |
254 |
// zvoleny sloupec ze sloupcu |
|
309 |
// zvoleny sloupec ze sloupcu, ziska hodnoty z pouzitelne radky danych sloupcu originalni tabulky a |
|
310 |
// pokud se vsechny rovnaji hodnotam, ktere jsou ulozeny v hodnotach uzlu na pozici vybraneho |
|
311 |
// sloupce, je kommbinace pouzitelna k vypoctum |
|
255 | 312 |
for (j = 0; j < columnNode.getValues().size(); j++) { |
256 | 313 |
if (!tableColumns.get(columnNames.get(j).getName()).getValues().get(usableID).equals(columnNode.getValues().get(j))) { |
257 | 314 |
isUsable = false; |
... | ... | |
259 | 316 |
} |
260 | 317 |
} |
261 | 318 |
// zvoleny sloupec z hodnot |
262 |
if (tableColumns.get(valueFunction.getValue()).getValues().get(usableID) == null) {
|
|
319 |
if (tableColumns.get(valueFunction.getNameOfSelect()).getValues().get(usableID) == null) {
|
|
263 | 320 |
isUsable = false; |
264 | 321 |
} |
265 | 322 |
|
266 |
if (isUsable) { |
|
267 |
if (valueFunction.getFunction().equals("COUNT")) { |
|
268 |
result++; |
|
269 |
} else if (valueFunction.getFunction().equals("SUM")) { |
|
270 |
result += Integer.parseInt(tableColumns.get(valueFunction.getValue()).getValues().get(usableID)); |
|
271 |
} |
|
272 |
if (j - 1 == 0 || j == 0) { |
|
273 |
if (valueFunction.getFunction().equals("COUNT")) { |
|
274 |
totals[v]++; |
|
275 |
} else if (valueFunction.getFunction().equals("SUM")) { |
|
276 |
totals[v] += Integer.parseInt(tableColumns.get(valueFunction.getValue()).getValues().get(usableID)); |
|
277 |
} |
|
323 |
usableColumns[columnIndex] = isUsable; |
|
324 |
|
|
325 |
if (isUsable) { // pokud lze hodnotu pouzit, prunik vsech hodnot sedi (ma nejakou hodnotu) |
|
326 |
isRowUsable = true; |
|
327 |
isFilledCell = true; |
|
328 |
computeValues(valueFunction, result, resultAvgSum, columnNode, isFirstMinMax, |
|
329 |
usableID, false, isSingleValueRow); |
|
330 |
if (j <= 1) { |
|
331 |
isFilledValueCells[v] = true; |
|
332 |
computeValues(valueFunction, totals[v], totalsAvgSum[v], null, isFirstMinMaxTotal, |
|
333 |
usableID, true, isSingleValueRow); |
|
278 | 334 |
} |
279 | 335 |
} |
280 | 336 |
} |
281 |
row.addTableRowCell(new ContingencyTableRowCell(Integer.toString(result), 0)); |
|
337 |
if (!isFilledCell) { |
|
338 |
row.addTableRowCell(new ContingencyTableRowCell("", 0)); |
|
339 |
} |
|
340 |
else { |
|
341 |
row.addTableRowCell(generateFilledCell(valueFunction.getFunction(), result.getValue(), result.getValue(), result.getValue(), |
|
342 |
result.getValue(), resultAvgSum.getValue(), result.getValue())); |
|
343 |
} |
|
344 |
columnIndex++; |
|
282 | 345 |
} |
283 | 346 |
} |
284 |
for (int total : totals) { |
|
285 |
row.addTableRowCell(new ContingencyTableRowCell(Integer.toString(total), 0)); |
|
347 |
for (int i = 0; i < valueFunctions.size(); i++) { |
|
348 |
if (!isFilledValueCells[i]) { |
|
349 |
row.addTableRowCell(new ContingencyTableRowCell("", 0)); |
|
350 |
} |
|
351 |
else { |
|
352 |
row.addTableRowCell(generateFilledCell(valueFunctions.get(i).getFunction(), totals[i].getValue(), totals[i].getValue(), |
|
353 |
totals[i].getValue(), totals[i].getValue(), totalsAvgSum[i].getValue(), totals[i].getValue())); |
|
354 |
} |
|
286 | 355 |
} |
356 |
|
|
357 |
return isRowUsable; |
|
287 | 358 |
} |
288 | 359 |
|
289 | 360 |
/** |
290 | 361 |
* Gets a list of IDs of the query rows that fit the contingency table row settings. |
291 |
* @param tableColumns Map of TableColumn |
|
292 | 362 |
* @param node node of the row |
293 |
* @param rowNames list of row names and user names |
|
294 | 363 |
* @return list of usable IDs |
295 | 364 |
*/ |
296 |
private List<Integer> getUsableIDs(Map<String, TableColumn> tableColumns, Node node, List<NameUserName> rowNames) {
|
|
365 |
private List<Integer> getUsableIDs(Node node) {
|
|
297 | 366 |
List<Integer> ids = new ArrayList<>(); |
298 | 367 |
|
299 | 368 |
for (int i = 0; i < tableColumns.get(rowNames.get(0).getName()).getValues().size(); i++) { |
369 |
boolean isUsable = true; |
|
300 | 370 |
for (int j = 0; j < node.getValues().size(); j++) { |
301 |
if (tableColumns.get(rowNames.get(j).getName()).getValues().get(i).equals(node.getValues().get(j))) { |
|
302 |
ids.add(i); |
|
371 |
if (!tableColumns.get(rowNames.get(j).getName()).getValues().get(i).equals(node.getValues().get(j))) { |
|
372 |
isUsable = false; |
|
373 |
break; |
|
303 | 374 |
} |
304 | 375 |
} |
376 |
if (isUsable) { |
|
377 |
ids.add(i); |
|
378 |
} |
|
305 | 379 |
} |
306 | 380 |
|
307 | 381 |
return ids; |
308 | 382 |
} |
383 |
|
|
384 |
private void computeValues(ValueFunction valueFunction, DoubleWrapper result, DoubleWrapper resultAvgSum, Node columnNode, |
|
385 |
BooleanWrapper isFirstMinMax, int usableID, boolean isValueTotal, boolean isSingleValueRow) { |
|
386 |
switch (valueFunction.getFunction()) { |
|
387 |
case "COUNT": |
|
388 |
count(valueFunction, result, columnNode, isValueTotal, isSingleValueRow); |
|
389 |
break; |
|
390 |
case "SUM": |
|
391 |
sum(valueFunction, result, columnNode, usableID, isValueTotal, isSingleValueRow); |
|
392 |
break; |
|
393 |
case "MIN": |
|
394 |
min(valueFunction, result, columnNode, isFirstMinMax, usableID, isValueTotal, isSingleValueRow); |
|
395 |
break; |
|
396 |
case "MAX": |
|
397 |
max(valueFunction, result, columnNode, isFirstMinMax, usableID, isValueTotal, isSingleValueRow); |
|
398 |
break; |
|
399 |
case "AVG": |
|
400 |
average(valueFunction, result, resultAvgSum, columnNode, usableID, isValueTotal, isSingleValueRow); |
|
401 |
break; |
|
402 |
} |
|
403 |
} |
|
404 |
|
|
405 |
private ContingencyTableRowCell generateFilledCell(String function, double totalResult, double totalResultSum, |
|
406 |
double totalMin, double totalMax, double totalResultAvgSum, |
|
407 |
double totalResultAvg) { |
|
408 |
ContingencyTableRowCell cell = null; |
|
409 |
switch (function) { |
|
410 |
case "COUNT": |
|
411 |
cell = new ContingencyTableRowCell(decimalFormat.format(totalResult), 1); |
|
412 |
break; |
|
413 |
case "SUM": |
|
414 |
cell = new ContingencyTableRowCell(decimalFormat.format(totalResultSum), 1); |
|
415 |
break; |
|
416 |
case "MIN": |
|
417 |
cell = new ContingencyTableRowCell(decimalFormat.format(totalMin), 1); |
|
418 |
break; |
|
419 |
case "MAX": |
|
420 |
cell = new ContingencyTableRowCell(decimalFormat.format(totalMax), 1); |
|
421 |
break; |
|
422 |
case "AVG": |
|
423 |
if (totalResultAvg == 0) { |
|
424 |
cell = new ContingencyTableRowCell("!!Dělení nulou!!", 0); |
|
425 |
} else { |
|
426 |
cell = new ContingencyTableRowCell(decimalFormat.format(totalResultAvgSum / totalResultAvg), 0); |
|
427 |
} |
|
428 |
break; |
|
429 |
} |
|
430 |
|
|
431 |
return cell; |
|
432 |
} |
|
433 |
|
|
434 |
private void initializeWrapperField(DoubleWrapper[] field) { |
|
435 |
for (int i = 0; i < field.length; i++) { |
|
436 |
field[i] = new DoubleWrapper(0); |
|
437 |
} |
|
438 |
} |
|
439 |
|
|
440 |
private void count(ValueFunction valueFunction, DoubleWrapper result, Node columnNode, boolean isValueTotal, |
|
441 |
boolean isSingleValueRow) { |
|
442 |
result.setValue(result.getValue() + 1); |
|
443 |
if (columnNode != null && isSingleValueRow) { |
|
444 |
columnNode.setTotalResult(columnNode.getTotalResult() + 1); |
|
445 |
} |
|
446 |
if (isValueTotal && isSingleValueRow) { |
|
447 |
valueFunction.setTotalResult(valueFunction.getTotalResult() + 1); |
|
448 |
} |
|
449 |
} |
|
450 |
|
|
451 |
private void sum(ValueFunction valueFunction, DoubleWrapper result, Node columnNode, int usableID, boolean isValueTotal, |
|
452 |
boolean isSingleValueRow) { |
|
453 |
if (valueFunction.getType().equals("Číslo")) { |
|
454 |
result.setValue(result.getValue() + Double.parseDouble(tableColumns.get(valueFunction.getNameOfSelect()).getValues().get(usableID))); |
|
455 |
if (columnNode != null && isSingleValueRow) { |
|
456 |
columnNode.setTotalResultSum(columnNode.getTotalResultSum() + Double.parseDouble(tableColumns.get(valueFunction.getNameOfSelect()).getValues().get(usableID))); |
|
457 |
} |
|
458 |
if (isValueTotal && isSingleValueRow) { |
|
459 |
valueFunction.setTotalResultSum(valueFunction.getTotalResultSum() + Double.parseDouble(tableColumns.get(valueFunction.getNameOfSelect()).getValues().get(usableID))); |
|
460 |
} |
|
461 |
} |
|
462 |
} |
|
463 |
|
|
464 |
private void min(ValueFunction valueFunction, DoubleWrapper result, Node columnNode, BooleanWrapper isFirstMinMax, |
|
465 |
int usableID, boolean isValueTotal, boolean isSingleValueRow) { |
|
466 |
if (valueFunction.getType().equals("Číslo")) { |
|
467 |
if (isFirstMinMax.isValue()) { |
|
468 |
isFirstMinMax.setValue(false); |
|
469 |
result.setValue(Double.parseDouble(tableColumns.get(valueFunction.getNameOfSelect()).getValues().get(usableID))); |
|
470 |
} |
|
471 |
else { |
|
472 |
result.setValue(Math.min(result.getValue(), Integer.parseInt(tableColumns.get(valueFunction.getNameOfSelect()).getValues().get(usableID)))); |
|
473 |
} |
|
474 |
if (columnNode != null && isSingleValueRow) { |
|
475 |
if (columnNode.isFirstMin()) { |
|
476 |
columnNode.setFirstMin(false); |
|
477 |
columnNode.setTotalMin(Double.parseDouble(tableColumns.get(valueFunction.getNameOfSelect()).getValues().get(usableID))); |
|
478 |
} else { |
|
479 |
columnNode.setTotalMin(Math.min(columnNode.getTotalMin(), Integer.parseInt(tableColumns.get(valueFunction.getNameOfSelect()).getValues().get(usableID)))); |
|
480 |
} |
|
481 |
} |
|
482 |
if (isValueTotal && isSingleValueRow) { |
|
483 |
if (valueFunction.isFirstMin()) { |
|
484 |
valueFunction.setFirstMin(false); |
|
485 |
valueFunction.setTotalMin(Double.parseDouble(tableColumns.get(valueFunction.getNameOfSelect()).getValues().get(usableID))); |
|
486 |
} else { |
|
487 |
valueFunction.setTotalMin(Math.min(valueFunction.getTotalMin(), Integer.parseInt(tableColumns.get(valueFunction.getNameOfSelect()).getValues().get(usableID)))); |
|
488 |
} |
|
489 |
} |
|
490 |
} |
|
491 |
} |
|
492 |
|
|
493 |
private void max(ValueFunction valueFunction, DoubleWrapper result, Node columnNode, BooleanWrapper isFirstMinMax, |
|
494 |
int usableID, boolean isValueTotal, boolean isSingleValueRow) { |
|
495 |
if (valueFunction.getType().equals("Číslo")) { |
|
496 |
if (isFirstMinMax.isValue()) { |
|
497 |
isFirstMinMax.setValue(false); |
|
498 |
result.setValue(Double.parseDouble(tableColumns.get(valueFunction.getNameOfSelect()).getValues().get(usableID))); |
|
499 |
} |
|
500 |
else { |
|
501 |
result.setValue(Math.max(result.getValue(), Integer.parseInt(tableColumns.get(valueFunction.getNameOfSelect()).getValues().get(usableID)))); |
|
502 |
} |
|
503 |
if (columnNode != null && isSingleValueRow) { |
|
504 |
if (columnNode.isFirstMax()) { |
|
505 |
columnNode.setFirstMax(false); |
|
506 |
columnNode.setTotalMax(Double.parseDouble(tableColumns.get(valueFunction.getNameOfSelect()).getValues().get(usableID))); |
|
507 |
} else { |
|
508 |
columnNode.setTotalMax(Math.max(columnNode.getTotalMax(), Integer.parseInt(tableColumns.get(valueFunction.getNameOfSelect()).getValues().get(usableID)))); |
|
509 |
} |
|
510 |
} |
|
511 |
if (isValueTotal && isSingleValueRow) { |
|
512 |
if (valueFunction.isFirstMax()) { |
|
513 |
valueFunction.setFirstMax(false); |
|
514 |
valueFunction.setTotalMax(Double.parseDouble(tableColumns.get(valueFunction.getNameOfSelect()).getValues().get(usableID))); |
|
515 |
} else { |
|
516 |
valueFunction.setTotalMax(Math.max(valueFunction.getTotalMax(), Integer.parseInt(tableColumns.get(valueFunction.getNameOfSelect()).getValues().get(usableID)))); |
|
517 |
} |
|
518 |
} |
|
519 |
} |
|
520 |
} |
|
521 |
|
|
522 |
private void average(ValueFunction valueFunction, DoubleWrapper result, DoubleWrapper resultAvgSum, Node columnNode, |
|
523 |
int usableID, boolean isValueTotal, boolean isSingleValueRow) { |
|
524 |
if (valueFunction.getType().equals("Číslo")) { |
|
525 |
result.setValue(result.getValue() + 1); |
|
526 |
resultAvgSum.setValue(resultAvgSum.getValue() + Double.parseDouble(tableColumns.get(valueFunction.getNameOfSelect()).getValues().get(usableID))); |
|
527 |
if (columnNode != null && isSingleValueRow) { |
|
528 |
columnNode.setTotalResultAvg(columnNode.getTotalResultAvg() + 1); |
|
529 |
columnNode.setTotalResultAvgSum(columnNode.getTotalResultAvgSum() + Double.parseDouble(tableColumns.get(valueFunction.getNameOfSelect()).getValues().get(usableID))); |
|
530 |
} |
|
531 |
if (isValueTotal && isSingleValueRow) { |
|
532 |
valueFunction.setTotalResultAvg(valueFunction.getTotalResultAvg() + 1); |
|
533 |
valueFunction.setTotalResultAvgSum(valueFunction.getTotalResultAvgSum() + Double.parseDouble(tableColumns.get(valueFunction.getNameOfSelect()).getValues().get(usableID))); |
|
534 |
} |
|
535 |
} |
|
536 |
} |
|
309 | 537 |
} |
Také k dispozici: Unified diff
re #8113 re #7885 all functions implemented, contingency table generation improved; re #8154 value filtering added; no comments