1
|
package eu.etaxonomy.cdm.api.service;
|
2
|
|
3
|
import java.util.List;
|
4
|
import java.util.Map;
|
5
|
|
6
|
import org.apache.commons.lang.StringUtils;
|
7
|
|
8
|
import eu.etaxonomy.cdm.model.common.Language;
|
9
|
import eu.etaxonomy.cdm.model.description.Feature;
|
10
|
import eu.etaxonomy.cdm.model.description.MeasurementUnit;
|
11
|
import eu.etaxonomy.cdm.model.description.NaturalLanguageTerm;
|
12
|
import eu.etaxonomy.cdm.model.description.StatisticalMeasure;
|
13
|
import eu.etaxonomy.cdm.model.description.TextData;
|
14
|
import eu.etaxonomy.cdm.model.description.TextFormat;
|
15
|
|
16
|
public class MicroFormatQuantitativeDescriptionBuilder extends AbstractQuantitativeDescriptionBuilder {
|
17
|
|
18
|
private String spanEnd = "</span>";
|
19
|
|
20
|
@Override
|
21
|
protected TextData doBuild(Map<StatisticalMeasure,Float> measures, MeasurementUnit mUnit, List<Language> languages){
|
22
|
StringBuilder QuantitativeDescription = new StringBuilder(); // this StringBuilder is used to concatenate the different words of the description before saving it in the TextData
|
23
|
TextData textData = TextData.NewInstance(); // TextData that will contain the description and the language corresponding
|
24
|
|
25
|
// booleans indicating whether a kind of value is present or not and the float that will eventually hold the value
|
26
|
boolean average = false;
|
27
|
String averagevalue = null;
|
28
|
boolean sd = false;
|
29
|
String sdvalue = null;
|
30
|
boolean min = false;
|
31
|
String minvalue = null;
|
32
|
boolean max = false;
|
33
|
String maxvalue = null;
|
34
|
boolean lowerb = false;
|
35
|
String lowerbvalue = null;
|
36
|
boolean upperb = false;
|
37
|
String upperbvalue = null;
|
38
|
|
39
|
String unit = "(unknown unit)";
|
40
|
if ((mUnit!=null)&&(mUnit.getLabel()!=null)){
|
41
|
unit = spanClass("unit") + mUnit.getLabel() + spanEnd;
|
42
|
}
|
43
|
|
44
|
// the different linking words are taken from NaturalLanguageTerm.class (should this be changed ?)
|
45
|
NaturalLanguageTerm nltFrom = NaturalLanguageTerm.FROM();
|
46
|
String from = nltFrom.getPreferredRepresentation(languages).getLabel();
|
47
|
NaturalLanguageTerm nltTo = NaturalLanguageTerm.TO();
|
48
|
String to = nltTo.getPreferredRepresentation(languages).getLabel();
|
49
|
NaturalLanguageTerm nltUp_To = NaturalLanguageTerm.UP_TO();
|
50
|
String up_To = nltUp_To.getPreferredRepresentation(languages).getLabel();
|
51
|
NaturalLanguageTerm nltMost_Frequently = NaturalLanguageTerm.MOST_FREQUENTLY();
|
52
|
String most_Frequently = nltMost_Frequently.getPreferredRepresentation(languages).getLabel();
|
53
|
NaturalLanguageTerm nltOn_Average = NaturalLanguageTerm.ON_AVERAGE();
|
54
|
String on_Average = nltOn_Average.getPreferredRepresentation(languages).getLabel();
|
55
|
NaturalLanguageTerm nltMore_Or_Less = NaturalLanguageTerm.MORE_OR_LESS();
|
56
|
String more_Or_Less = nltMore_Or_Less.getPreferredRepresentation(languages).getLabel();
|
57
|
String space = " "; // should "space" be considered as a linking word and thus be stored in NaturalLanguageTerm.class ?
|
58
|
|
59
|
// the booleans and floats are updated according to the presence or absence of values
|
60
|
if (measures.containsKey(StatisticalMeasure.AVERAGE())) {
|
61
|
average = true;
|
62
|
averagevalue = spanClass("measurement") + measures.get(StatisticalMeasure.AVERAGE()) + spanEnd;
|
63
|
} else if(measures.containsKey(StatisticalMeasure.STANDARD_DEVIATION())) {
|
64
|
sd = true;
|
65
|
sdvalue = spanClass("measurement") + measures.get(StatisticalMeasure.STANDARD_DEVIATION()) + spanEnd;
|
66
|
} else if (measures.containsKey(StatisticalMeasure.MIN())) {
|
67
|
min = true;
|
68
|
minvalue = spanClass("measurement") + measures.get(StatisticalMeasure.MIN()) + spanEnd;
|
69
|
} else if (measures.containsKey(StatisticalMeasure.MAX())) {
|
70
|
max = true;
|
71
|
maxvalue = spanClass("measurement") + measures.get(StatisticalMeasure.MAX()) + spanEnd;
|
72
|
} else if (measures.containsKey(StatisticalMeasure.TYPICAL_LOWER_BOUNDARY())) {
|
73
|
lowerb = true;
|
74
|
lowerbvalue = spanClass("measurement") + measures.get(StatisticalMeasure.TYPICAL_LOWER_BOUNDARY()) + spanEnd;
|
75
|
} else if (measures.containsKey(StatisticalMeasure.TYPICAL_UPPER_BOUNDARY())) {
|
76
|
upperb = true;
|
77
|
upperbvalue = spanClass("measurement") + measures.get(StatisticalMeasure.TYPICAL_UPPER_BOUNDARY()) + spanEnd;
|
78
|
}
|
79
|
|
80
|
QuantitativeDescription.append(spanClass("state"));
|
81
|
// depending on the different associations of values, a sentence is built
|
82
|
if (max && min) {
|
83
|
QuantitativeDescription.append(space + from + space + minvalue + space + to + space + maxvalue + space + unit);
|
84
|
}
|
85
|
else if (min) {
|
86
|
QuantitativeDescription.append(space + from + space + minvalue + space + unit);
|
87
|
}
|
88
|
else if (max) {
|
89
|
QuantitativeDescription.append(space + up_To + space + maxvalue + space + unit);
|
90
|
}
|
91
|
if ((max||min)&&(lowerb||upperb)) {
|
92
|
QuantitativeDescription.append(","); // merge with below ?
|
93
|
}
|
94
|
if ((lowerb||upperb)&&(min||max)) {
|
95
|
QuantitativeDescription.append(space + most_Frequently + space);
|
96
|
}
|
97
|
if (upperb && lowerb) {
|
98
|
QuantitativeDescription.append(space + from + space + lowerbvalue + space + to + space + upperbvalue + space + unit);
|
99
|
}
|
100
|
else if (lowerb) {
|
101
|
QuantitativeDescription.append(space + from + space + lowerbvalue + space + unit);
|
102
|
}
|
103
|
else if (upperb) {
|
104
|
QuantitativeDescription.append(space + up_To + space + upperbvalue + space + unit);
|
105
|
}
|
106
|
if (((max||min)&&(average))||((lowerb||upperb)&&(average))) {
|
107
|
QuantitativeDescription.append(",");
|
108
|
}
|
109
|
if (average) {
|
110
|
QuantitativeDescription.append(space + averagevalue + space + unit + space + on_Average);
|
111
|
if (sd) {
|
112
|
QuantitativeDescription.append("("+ more_Or_Less + space + sdvalue + ")");
|
113
|
}
|
114
|
}
|
115
|
QuantitativeDescription.append(spanEnd);
|
116
|
textData.putText(languages.get(0), QuantitativeDescription.toString()); // which language should be put here ?
|
117
|
textData.setFormat(TextFormat.NewInstance(null, "HTML",null )); // the data format is set (not yet real HTML)
|
118
|
|
119
|
return textData;
|
120
|
}
|
121
|
|
122
|
protected String buildFeature(Feature feature, boolean doItBetter){
|
123
|
if (feature==null || feature.getLabel()==null) return "";
|
124
|
else {
|
125
|
if (doItBetter) {
|
126
|
String betterString = StringUtils.substringBefore(feature.getLabel(), "<");
|
127
|
return StringUtils.removeEnd(betterString, " ");
|
128
|
}
|
129
|
else return feature.getLabel();
|
130
|
}
|
131
|
}
|
132
|
|
133
|
private String spanClass(String classString){
|
134
|
return("<span class=\""+classString+"\">");
|
135
|
}
|
136
|
|
137
|
|
138
|
}
|