##// END OF EJS Templates
Merge branch 'feature/SortDataSeries' into develop
Alexandre Leroux -
r456:e7ac423673d6 merge
parent child
Show More
@@ -0,0 +1,38
1 #ifndef SCIQLOP_SORTUTILS_H
2 #define SCIQLOP_SORTUTILS_H
3
4 #include <algorithm>
5 #include <vector>
6
7 /**
8 * Utility class with methods for sorting data
9 */
10 struct SortUtils {
11 /**
12 * Generates a vector representing the index of insertion of each data of a container if this
13 * one had to be sorted according to a comparison function.
14 *
15 * For example:
16 * If the container is a vector {1; 4; 2; 5; 3} and the comparison function is std::less, the
17 * result would be : {0; 3; 1; 4; 2}
18 *
19 * @tparam Container the type of the container.
20 * @tparam Compare the type of the comparison function
21 * @param container the container from which to generate the result. The container must have a
22 * at() method that returns a value associated to an index
23 * @param compare the comparison function
24 */
25 template <typename Container, typename Compare>
26 static std::vector<int> sortPermutation(const Container &container, const Compare &compare)
27 {
28 auto permutation = std::vector<int>{};
29 permutation.resize(container.size());
30
31 std::iota(permutation.begin(), permutation.end(), 0);
32 std::sort(permutation.begin(), permutation.end(),
33 [&](int i, int j) { return compare(container.at(i), container.at(j)); });
34 return permutation;
35 }
36 };
37
38 #endif // SCIQLOP_SORTUTILS_H
@@ -0,0 +1,164
1 #include "Data/DataSeries.h"
2 #include "Data/ScalarSeries.h"
3
4 #include <QObject>
5 #include <QtTest>
6
7 Q_DECLARE_METATYPE(std::shared_ptr<ScalarSeries>)
8
9 class TestDataSeries : public QObject {
10 Q_OBJECT
11 private slots:
12 /// Input test data
13 /// @sa testCtor()
14 void testCtor_data();
15
16 /// Tests construction of a data series
17 void testCtor();
18
19 /// Input test data
20 /// @sa testMerge()
21 void testMerge_data();
22
23 /// Tests merge of two data series
24 void testMerge();
25 };
26
27 void TestDataSeries::testCtor_data()
28 {
29 // ////////////// //
30 // Test structure //
31 // ////////////// //
32
33 // x-axis data
34 QTest::addColumn<QVector<double> >("xAxisData");
35 // values data
36 QTest::addColumn<QVector<double> >("valuesData");
37
38 // expected x-axis data
39 QTest::addColumn<QVector<double> >("expectedXAxisData");
40 // expected values data
41 QTest::addColumn<QVector<double> >("expectedValuesData");
42
43 // ////////// //
44 // Test cases //
45 // ////////// //
46
47 QTest::newRow("invalidData (different sizes of vectors)")
48 << QVector<double>{1., 2., 3., 4., 5.} << QVector<double>{100., 200., 300.}
49 << QVector<double>{} << QVector<double>{};
50
51 QTest::newRow("sortedData") << QVector<double>{1., 2., 3., 4., 5.}
52 << QVector<double>{100., 200., 300., 400., 500.}
53 << QVector<double>{1., 2., 3., 4., 5.}
54 << QVector<double>{100., 200., 300., 400., 500.};
55
56 QTest::newRow("unsortedData") << QVector<double>{5., 4., 3., 2., 1.}
57 << QVector<double>{100., 200., 300., 400., 500.}
58 << QVector<double>{1., 2., 3., 4., 5.}
59 << QVector<double>{500., 400., 300., 200., 100.};
60
61 QTest::newRow("unsortedData2")
62 << QVector<double>{1., 4., 3., 5., 2.} << QVector<double>{100., 200., 300., 400., 500.}
63 << QVector<double>{1., 2., 3., 4., 5.} << QVector<double>{100., 500., 300., 200., 400.};
64 }
65
66 void TestDataSeries::testCtor()
67 {
68 // Creates series
69 QFETCH(QVector<double>, xAxisData);
70 QFETCH(QVector<double>, valuesData);
71
72 auto series = std::make_shared<ScalarSeries>(std::move(xAxisData), std::move(valuesData),
73 Unit{}, Unit{});
74
75 // Validates results : we check that the data series is sorted on its x-axis data
76 QFETCH(QVector<double>, expectedXAxisData);
77 QFETCH(QVector<double>, expectedValuesData);
78
79 auto seriesXAxisData = series->xAxisData()->data();
80 auto seriesValuesData = series->valuesData()->data();
81
82 QVERIFY(
83 std::equal(expectedXAxisData.cbegin(), expectedXAxisData.cend(), seriesXAxisData.cbegin()));
84 QVERIFY(std::equal(expectedValuesData.cbegin(), expectedValuesData.cend(),
85 seriesValuesData.cbegin()));
86 }
87
88 namespace {
89
90 std::shared_ptr<ScalarSeries> createSeries(QVector<double> xAxisData, QVector<double> valuesData)
91 {
92 return std::make_shared<ScalarSeries>(std::move(xAxisData), std::move(valuesData), Unit{},
93 Unit{});
94 }
95
96 } // namespace
97
98 void TestDataSeries::testMerge_data()
99 {
100 // ////////////// //
101 // Test structure //
102 // ////////////// //
103
104 // Data series to merge
105 QTest::addColumn<std::shared_ptr<ScalarSeries> >("dataSeries");
106 QTest::addColumn<std::shared_ptr<ScalarSeries> >("dataSeries2");
107
108 // Expected values in the first data series after merge
109 QTest::addColumn<QVector<double> >("expectedXAxisData");
110 QTest::addColumn<QVector<double> >("expectedValuesData");
111
112 // ////////// //
113 // Test cases //
114 // ////////// //
115
116 QTest::newRow("sortedMerge")
117 << createSeries({1., 2., 3., 4., 5.}, {100., 200., 300., 400., 500.})
118 << createSeries({6., 7., 8., 9., 10.}, {600., 700., 800., 900., 1000.})
119 << QVector<double>{1., 2., 3., 4., 5., 6., 7., 8., 9., 10.}
120 << QVector<double>{100., 200., 300., 400., 500., 600., 700., 800., 900., 1000.};
121
122 QTest::newRow("unsortedMerge")
123 << createSeries({6., 7., 8., 9., 10.}, {600., 700., 800., 900., 1000.})
124 << createSeries({1., 2., 3., 4., 5.}, {100., 200., 300., 400., 500.})
125 << QVector<double>{1., 2., 3., 4., 5., 6., 7., 8., 9., 10.}
126 << QVector<double>{100., 200., 300., 400., 500., 600., 700., 800., 900., 1000.};
127
128 QTest::newRow("unsortedMerge2")
129 << createSeries({1., 2., 8., 9., 10}, {100., 200., 300., 400., 500.})
130 << createSeries({3., 4., 5., 6., 7.}, {600., 700., 800., 900., 1000.})
131 << QVector<double>{1., 2., 3., 4., 5., 6., 7., 8., 9., 10.}
132 << QVector<double>{100., 200., 600., 700., 800., 900., 1000., 300., 400., 500.};
133
134 QTest::newRow("unsortedMerge3")
135 << createSeries({3., 5., 8., 7., 2}, {100., 200., 300., 400., 500.})
136 << createSeries({6., 4., 9., 10., 1.}, {600., 700., 800., 900., 1000.})
137 << QVector<double>{1., 2., 3., 4., 5., 6., 7., 8., 9., 10.}
138 << QVector<double>{1000., 500., 100., 700., 200., 600., 400., 300., 800., 900.};
139 }
140
141 void TestDataSeries::testMerge()
142 {
143 // Merges series
144 QFETCH(std::shared_ptr<ScalarSeries>, dataSeries);
145 QFETCH(std::shared_ptr<ScalarSeries>, dataSeries2);
146
147 dataSeries->merge(dataSeries2.get());
148
149 // Validates results : we check that the merge is valid and the data series is sorted on its
150 // x-axis data
151 QFETCH(QVector<double>, expectedXAxisData);
152 QFETCH(QVector<double>, expectedValuesData);
153
154 auto seriesXAxisData = dataSeries->xAxisData()->data();
155 auto seriesValuesData = dataSeries->valuesData()->data();
156
157 QVERIFY(
158 std::equal(expectedXAxisData.cbegin(), expectedXAxisData.cend(), seriesXAxisData.cbegin()));
159 QVERIFY(std::equal(expectedValuesData.cbegin(), expectedValuesData.cend(),
160 seriesValuesData.cbegin()));
161 }
162
163 QTEST_MAIN(TestDataSeries)
164 #include "TestDataSeries.moc"
@@ -1,116 +1,169
1 1 #ifndef SCIQLOP_ARRAYDATA_H
2 2 #define SCIQLOP_ARRAYDATA_H
3 3
4 4 #include <QReadLocker>
5 5 #include <QReadWriteLock>
6 6 #include <QVector>
7
8 #include <memory>
9
7 10 /**
8 11 * @brief The ArrayData class represents a dataset for a data series.
9 12 *
10 13 * A dataset can be unidimensional or two-dimensional. This property is determined by the Dim
11 14 * template-parameter.
12 15 *
13 16 * @tparam Dim the dimension of the ArrayData (one or two)
14 17 * @sa IDataSeries
15 18 */
16 19 template <int Dim>
17 20 class ArrayData {
18 21 public:
19 22 /**
20 23 * Ctor for a unidimensional ArrayData
21 24 * @param nbColumns the number of values the ArrayData will hold
22 25 */
23 26 template <int D = Dim, typename = std::enable_if_t<D == 1> >
24 27 explicit ArrayData(int nbColumns) : m_Data{1, QVector<double>{}}
25 28 {
26 29 QWriteLocker locker{&m_Lock};
27 30 m_Data[0].resize(nbColumns);
28 31 }
29 32
30 33 /**
31 34 * Ctor for a unidimensional ArrayData
32 35 * @param data the data the ArrayData will hold
33 36 */
34 37 template <int D = Dim, typename = std::enable_if_t<D == 1> >
35 38 explicit ArrayData(QVector<double> data) : m_Data{1, QVector<double>{}}
36 39 {
37 40 QWriteLocker locker{&m_Lock};
38 41 m_Data[0] = std::move(data);
39 42 }
40 43
41 44 /// Copy ctor
42 45 explicit ArrayData(const ArrayData &other)
43 46 {
44 47 QReadLocker otherLocker{&other.m_Lock};
45 48 QWriteLocker locker{&m_Lock};
46 49 m_Data = other.m_Data;
47 50 }
48 51
49 52 /**
53 * @return the data at a specified index
54 * @remarks index must be a valid position
55 * @remarks this method is only available for a unidimensional ArrayData
56 */
57 template <int D = Dim, typename = std::enable_if_t<D == 1> >
58 double at(int index) const noexcept
59 {
60 QReadLocker locker{&m_Lock};
61 return m_Data[0].at(index);
62 }
63
64 /**
50 65 * Sets a data at a specified index. The index has to be valid to be effective
51 66 * @param index the index to which the data will be set
52 67 * @param data the data to set
53 68 * @remarks this method is only available for a unidimensional ArrayData
54 69 */
55 70 template <int D = Dim, typename = std::enable_if_t<D == 1> >
56 71 void setData(int index, double data) noexcept
57 72 {
58 73 QWriteLocker locker{&m_Lock};
59 74 if (index >= 0 && index < m_Data.at(0).size()) {
60 75 m_Data[0].replace(index, data);
61 76 }
62 77 }
63 78
64 79 /**
65 80 * @return the data as a vector
66 81 * @remarks this method is only available for a unidimensional ArrayData
67 82 */
68 83 template <int D = Dim, typename = std::enable_if_t<D == 1> >
69 84 QVector<double> data() const noexcept
70 85 {
71 86 QReadLocker locker{&m_Lock};
72 87 return m_Data[0];
73 88 }
74 89
75 90 /**
76 * @return the data as a vector
91 * @return the data as a vector, as a const reference
77 92 * @remarks this method is only available for a unidimensional ArrayData
78 93 */
79 94 template <int D = Dim, typename = std::enable_if_t<D == 1> >
80 QVector<double> data(double tStart, double tEnd) const noexcept
95 const QVector<double> &cdata() const noexcept
81 96 {
82 97 QReadLocker locker{&m_Lock};
83 return m_Data.at(tStart);
98 return m_Data.at(0);
84 99 }
85 100
86 // TODO Comment
101 /**
102 * Merges into the array data an other array data
103 * @param other the array data to merge with
104 * @param prepend if true, the other array data is inserted at the beginning, otherwise it is
105 * inserted at the end
106 * @remarks this method is only available for a unidimensional ArrayData
107 */
87 108 template <int D = Dim, typename = std::enable_if_t<D == 1> >
88 void merge(const ArrayData<1> &arrayData)
109 void add(const ArrayData<1> &other, bool prepend = false)
89 110 {
90 111 QWriteLocker locker{&m_Lock};
91 112 if (!m_Data.empty()) {
92 QReadLocker otherLocker{&arrayData.m_Lock};
93 m_Data[0] += arrayData.data();
113 QReadLocker otherLocker{&other.m_Lock};
114
115 if (prepend) {
116 const auto &otherData = other.data();
117 const auto otherDataSize = otherData.size();
118
119 auto &data = m_Data[0];
120 data.insert(data.begin(), otherDataSize, 0.);
121
122 for (auto i = 0; i < otherDataSize; ++i) {
123 data.replace(i, otherData.at(i));
124 }
125 }
126 else {
127 m_Data[0] += other.data();
128 }
94 129 }
95 130 }
96 131
97 132 template <int D = Dim, typename = std::enable_if_t<D == 1> >
98 133 int size() const
99 134 {
100 135 QReadLocker locker{&m_Lock};
101 136 return m_Data[0].size();
102 137 }
103 138
139 template <int D = Dim, typename = std::enable_if_t<D == 1> >
140 std::shared_ptr<ArrayData<Dim> > sort(const std::vector<int> sortPermutation)
141 {
142 QReadLocker locker{&m_Lock};
143
144 const auto &data = m_Data.at(0);
145
146 // Inits result
147 auto sortedData = QVector<double>{};
148 sortedData.resize(data.size());
149
150 std::transform(sortPermutation.cbegin(), sortPermutation.cend(), sortedData.begin(),
151 [&data](int i) { return data[i]; });
152
153 return std::make_shared<ArrayData<Dim> >(std::move(sortedData));
154 }
155
156 template <int D = Dim, typename = std::enable_if_t<D == 1> >
104 157 void clear()
105 158 {
106 159 QWriteLocker locker{&m_Lock};
107 m_Data.clear();
160 m_Data[0].clear();
108 161 }
109 162
110 163
111 164 private:
112 165 QVector<QVector<double> > m_Data;
113 166 mutable QReadWriteLock m_Lock;
114 167 };
115 168
116 169 #endif // SCIQLOP_ARRAYDATA_H
@@ -1,107 +1,180
1 1 #ifndef SCIQLOP_DATASERIES_H
2 2 #define SCIQLOP_DATASERIES_H
3 3
4 #include <Common/SortUtils.h>
5
4 6 #include <Data/ArrayData.h>
5 7 #include <Data/IDataSeries.h>
6 8
7 9 #include <QLoggingCategory>
8 10
9 11 #include <QReadLocker>
10 12 #include <QReadWriteLock>
11 13 #include <memory>
12 14
13 15 Q_DECLARE_LOGGING_CATEGORY(LOG_DataSeries)
14 16 Q_LOGGING_CATEGORY(LOG_DataSeries, "DataSeries")
15 17
16 18
17 19 /**
18 20 * @brief The DataSeries class is the base (abstract) implementation of IDataSeries.
19 21 *
20 * It proposes to set a dimension for the values ​​data
22 * It proposes to set a dimension for the values ​​data.
23 *
24 * A DataSeries is always sorted on its x-axis data.
21 25 *
22 26 * @tparam Dim The dimension of the values data
23 27 *
24 28 */
25 29 template <int Dim>
26 30 class DataSeries : public IDataSeries {
27 31 public:
28 32 /// @sa IDataSeries::xAxisData()
29 33 std::shared_ptr<ArrayData<1> > xAxisData() override { return m_XAxisData; }
30 34 const std::shared_ptr<ArrayData<1> > xAxisData() const { return m_XAxisData; }
31 35
32 36 /// @sa IDataSeries::xAxisUnit()
33 37 Unit xAxisUnit() const override { return m_XAxisUnit; }
34 38
35 39 /// @return the values dataset
36 40 std::shared_ptr<ArrayData<Dim> > valuesData() { return m_ValuesData; }
37 41 const std::shared_ptr<ArrayData<Dim> > valuesData() const { return m_ValuesData; }
38 42
39 43 /// @sa IDataSeries::valuesUnit()
40 44 Unit valuesUnit() const override { return m_ValuesUnit; }
41 45
42 46 void clear()
43 47 {
44 48 m_XAxisData->clear();
45 49 m_ValuesData->clear();
46 50 }
47 51
48 /// @sa IDataSeries::merge()
52 /// Merges into the data series an other data series
53 /// @remarks the data series to merge with is cleared after the operation
49 54 void merge(IDataSeries *dataSeries) override
50 55 {
51 if (auto dimDataSeries = dynamic_cast<DataSeries<Dim> *>(dataSeries)) {
52 m_XAxisData->merge(*dimDataSeries->xAxisData());
53 m_ValuesData->merge(*dimDataSeries->valuesData());
54 dimDataSeries->clear();
56 dataSeries->lockWrite();
57 lockWrite();
58
59 if (auto other = dynamic_cast<DataSeries<Dim> *>(dataSeries)) {
60 const auto &otherXAxisData = other->xAxisData()->cdata();
61 const auto &xAxisData = m_XAxisData->cdata();
62
63 // As data series are sorted, we can improve performances of merge, by call the sort
64 // method only if the two data series overlap.
65 if (!otherXAxisData.empty()) {
66 auto firstValue = otherXAxisData.front();
67 auto lastValue = otherXAxisData.back();
68
69 auto xAxisDataBegin = xAxisData.cbegin();
70 auto xAxisDataEnd = xAxisData.cend();
71
72 bool prepend;
73 bool sortNeeded;
74
75 if (std::lower_bound(xAxisDataBegin, xAxisDataEnd, firstValue) == xAxisDataEnd) {
76 // Other data series if after data series
77 prepend = false;
78 sortNeeded = false;
79 }
80 else if (std::upper_bound(xAxisDataBegin, xAxisDataEnd, lastValue)
81 == xAxisDataBegin) {
82 // Other data series if before data series
83 prepend = true;
84 sortNeeded = false;
85 }
86 else {
87 // The two data series overlap
88 prepend = false;
89 sortNeeded = true;
90 }
91
92 // Makes the merge
93 m_XAxisData->add(*other->xAxisData(), prepend);
94 m_ValuesData->add(*other->valuesData(), prepend);
95
96 if (sortNeeded) {
97 sort();
98 }
99 }
100
101 // Clears the other data series
102 other->clear();
55 103 }
56 104 else {
57 105 qCWarning(LOG_DataSeries())
58 << QObject::tr("Dection of a type of IDataSeries we cannot merge with !");
106 << QObject::tr("Detection of a type of IDataSeries we cannot merge with !");
59 107 }
108 unlock();
109 dataSeries->unlock();
60 110 }
61 111
62 112 virtual void lockRead() { m_Lock.lockForRead(); }
63 113 virtual void lockWrite() { m_Lock.lockForWrite(); }
64 114 virtual void unlock() { m_Lock.unlock(); }
65 115
66 116 protected:
67 /// Protected ctor (DataSeries is abstract)
117 /// Protected ctor (DataSeries is abstract). The vectors must have the same size, otherwise a
118 /// DataSeries with no values will be created.
119 /// @remarks data series is automatically sorted on its x-axis data
68 120 explicit DataSeries(std::shared_ptr<ArrayData<1> > xAxisData, const Unit &xAxisUnit,
69 121 std::shared_ptr<ArrayData<Dim> > valuesData, const Unit &valuesUnit)
70 122 : m_XAxisData{xAxisData},
71 123 m_XAxisUnit{xAxisUnit},
72 124 m_ValuesData{valuesData},
73 125 m_ValuesUnit{valuesUnit}
74 126 {
127 if (m_XAxisData->size() != m_ValuesData->size()) {
128 clear();
129 }
130
131 // Sorts data if it's not the case
132 const auto &xAxisCData = m_XAxisData->cdata();
133 if (!std::is_sorted(xAxisCData.cbegin(), xAxisCData.cend())) {
134 sort();
135 }
75 136 }
76 137
77 138 /// Copy ctor
78 139 explicit DataSeries(const DataSeries<Dim> &other)
79 140 : m_XAxisData{std::make_shared<ArrayData<1> >(*other.m_XAxisData)},
80 141 m_XAxisUnit{other.m_XAxisUnit},
81 142 m_ValuesData{std::make_shared<ArrayData<Dim> >(*other.m_ValuesData)},
82 143 m_ValuesUnit{other.m_ValuesUnit}
83 144 {
145 // Since a series is ordered from its construction and is always ordered, it is not
146 // necessary to call the sort method here ('other' is sorted)
84 147 }
85 148
86 149 /// Assignment operator
87 150 template <int D>
88 151 DataSeries &operator=(DataSeries<D> other)
89 152 {
90 153 std::swap(m_XAxisData, other.m_XAxisData);
91 154 std::swap(m_XAxisUnit, other.m_XAxisUnit);
92 155 std::swap(m_ValuesData, other.m_ValuesData);
93 156 std::swap(m_ValuesUnit, other.m_ValuesUnit);
94 157
95 158 return *this;
96 159 }
97 160
98 161 private:
162 /**
163 * Sorts data series on its x-axis data
164 */
165 void sort() noexcept
166 {
167 auto permutation = SortUtils::sortPermutation(*m_XAxisData, std::less<double>());
168 m_XAxisData = m_XAxisData->sort(permutation);
169 m_ValuesData = m_ValuesData->sort(permutation);
170 }
171
99 172 std::shared_ptr<ArrayData<1> > m_XAxisData;
100 173 Unit m_XAxisUnit;
101 174 std::shared_ptr<ArrayData<Dim> > m_ValuesData;
102 175 Unit m_ValuesUnit;
103 176
104 177 QReadWriteLock m_Lock;
105 178 };
106 179
107 180 #endif // SCIQLOP_DATASERIES_H
@@ -1,39 +1,23
1 1 #ifndef SCIQLOP_SCALARSERIES_H
2 2 #define SCIQLOP_SCALARSERIES_H
3 3
4 4 #include <Data/DataSeries.h>
5 5
6 6 /**
7 7 * @brief The ScalarSeries class is the implementation for a data series representing a scalar.
8 8 */
9 9 class ScalarSeries : public DataSeries<1> {
10 10 public:
11 11 /**
12 * Ctor
13 * @param size the number of data the series will hold
14 * @param xAxisUnit x-axis unit
15 * @param valuesUnit values unit
16 */
17 explicit ScalarSeries(int size, const Unit &xAxisUnit, const Unit &valuesUnit);
18
19 /**
20 12 * Ctor with two vectors. The vectors must have the same size, otherwise a ScalarSeries with no
21 13 * values will be created.
22 14 * @param xAxisData x-axis data
23 15 * @param valuesData values data
24 16 */
25 17 explicit ScalarSeries(QVector<double> xAxisData, QVector<double> valuesData,
26 18 const Unit &xAxisUnit, const Unit &valuesUnit);
27 19
28 /**
29 * Sets data for a specific index. The index has to be valid to be effective
30 * @param index the index to which the data will be set
31 * @param x the x-axis data
32 * @param value the value data
33 */
34 void setData(int index, double x, double value) noexcept;
35
36 20 std::unique_ptr<IDataSeries> clone() const;
37 21 };
38 22
39 23 #endif // SCIQLOP_SCALARSERIES_H
@@ -1,25 +1,13
1 1 #include <Data/ScalarSeries.h>
2 2
3 ScalarSeries::ScalarSeries(int size, const Unit &xAxisUnit, const Unit &valuesUnit)
4 : DataSeries{std::make_shared<ArrayData<1> >(size), xAxisUnit,
5 std::make_shared<ArrayData<1> >(size), valuesUnit}
6 {
7 }
8
9 3 ScalarSeries::ScalarSeries(QVector<double> xAxisData, QVector<double> valuesData,
10 4 const Unit &xAxisUnit, const Unit &valuesUnit)
11 5 : DataSeries{std::make_shared<ArrayData<1> >(std::move(xAxisData)), xAxisUnit,
12 6 std::make_shared<ArrayData<1> >(std::move(valuesData)), valuesUnit}
13 7 {
14 8 }
15 9
16 void ScalarSeries::setData(int index, double x, double value) noexcept
17 {
18 xAxisData()->setData(index, x);
19 valuesData()->setData(index, value);
20 }
21
22 10 std::unique_ptr<IDataSeries> ScalarSeries::clone() const
23 11 {
24 12 return std::make_unique<ScalarSeries>(*this);
25 13 }
@@ -1,90 +1,86
1 1 #include "Variable/Variable.h"
2 2
3 3 #include <Data/IDataSeries.h>
4 4 #include <Data/SqpDateTime.h>
5 5
6 6 #include <QReadWriteLock>
7 7 #include <QThread>
8 8
9 9 Q_LOGGING_CATEGORY(LOG_Variable, "Variable")
10 10
11 11 struct Variable::VariablePrivate {
12 12 explicit VariablePrivate(const QString &name, const SqpDateTime &dateTime,
13 13 const QVariantHash &metadata)
14 14 : m_Name{name}, m_DateTime{dateTime}, m_Metadata{metadata}, m_DataSeries{nullptr}
15 15 {
16 16 }
17 17
18 18 QString m_Name;
19 19
20 20 SqpDateTime m_DateTime; // The dateTime available in the view and loaded. not the cache.
21 21 QVariantHash m_Metadata;
22 22 std::unique_ptr<IDataSeries> m_DataSeries;
23 23 };
24 24
25 25 Variable::Variable(const QString &name, const SqpDateTime &dateTime, const QVariantHash &metadata)
26 26 : impl{spimpl::make_unique_impl<VariablePrivate>(name, dateTime, metadata)}
27 27 {
28 28 }
29 29
30 30 QString Variable::name() const noexcept
31 31 {
32 32 return impl->m_Name;
33 33 }
34 34
35 35 SqpDateTime Variable::dateTime() const noexcept
36 36 {
37 37 return impl->m_DateTime;
38 38 }
39 39
40 40 void Variable::setDateTime(const SqpDateTime &dateTime) noexcept
41 41 {
42 42 impl->m_DateTime = dateTime;
43 43 }
44 44
45 45 void Variable::setDataSeries(std::shared_ptr<IDataSeries> dataSeries) noexcept
46 46 {
47 47 qCDebug(LOG_Variable()) << "Variable::setDataSeries" << QThread::currentThread()->objectName();
48 48 if (!dataSeries) {
49 49 /// @todo ALX : log
50 50 return;
51 51 }
52 52
53 53 // Inits the data series of the variable
54 54 if (!impl->m_DataSeries) {
55 55 impl->m_DataSeries = dataSeries->clone();
56 56 }
57 57 else {
58 dataSeries->lockWrite();
59 impl->m_DataSeries->lockWrite();
60 58 impl->m_DataSeries->merge(dataSeries.get());
61 impl->m_DataSeries->unlock();
62 dataSeries->unlock();
63 59 // emit updated();
64 60 }
65 61 }
66 62
67 63 IDataSeries *Variable::dataSeries() const noexcept
68 64 {
69 65 return impl->m_DataSeries.get();
70 66 }
71 67
72 68 QVariantHash Variable::metadata() const noexcept
73 69 {
74 70 return impl->m_Metadata;
75 71 }
76 72
77 73 bool Variable::contains(const SqpDateTime &dateTime) const noexcept
78 74 {
79 75 return impl->m_DateTime.contains(dateTime);
80 76 }
81 77
82 78 bool Variable::intersect(const SqpDateTime &dateTime) const noexcept
83 79 {
84 80 return impl->m_DateTime.intersect(dateTime);
85 81 }
86 82
87 83 bool Variable::isInside(const SqpDateTime &dateTime) const noexcept
88 84 {
89 85 return dateTime.contains(SqpDateTime{impl->m_DateTime.m_TStart, impl->m_DateTime.m_TEnd});
90 86 }
@@ -1,159 +1,161
1 1 #include "Visualization/VisualizationGraphHelper.h"
2 2 #include "Visualization/qcustomplot.h"
3 3
4 4 #include <Data/ScalarSeries.h>
5 5
6 6 #include <Variable/Variable.h>
7 7
8 8 Q_LOGGING_CATEGORY(LOG_VisualizationGraphHelper, "VisualizationGraphHelper")
9 9
10 10 namespace {
11 11
12 12 class SqpDataContainer : public QCPGraphDataContainer {
13 13 public:
14 void appendGraphDataUnsorted(const QCPGraphData &data) { mData.append(data); }
14 void appendGraphData(const QCPGraphData &data) { mData.append(data); }
15 15 };
16 16
17 17
18 18 /// Format for datetimes on a axis
19 19 const auto DATETIME_TICKER_FORMAT = QStringLiteral("yyyy/MM/dd \nhh:mm:ss");
20 20
21 21 /// Generates the appropriate ticker for an axis, depending on whether the axis displays time or
22 22 /// non-time data
23 23 QSharedPointer<QCPAxisTicker> axisTicker(bool isTimeAxis)
24 24 {
25 25 if (isTimeAxis) {
26 26 auto dateTicker = QSharedPointer<QCPAxisTickerDateTime>::create();
27 27 dateTicker->setDateTimeFormat(DATETIME_TICKER_FORMAT);
28 28
29 29 return dateTicker;
30 30 }
31 31 else {
32 32 // default ticker
33 33 return QSharedPointer<QCPAxisTicker>::create();
34 34 }
35 35 }
36 36
37 37 void updateScalarData(QCPAbstractPlottable *component, ScalarSeries &scalarSeries,
38 38 const SqpDateTime &dateTime)
39 39 {
40 40 qCDebug(LOG_VisualizationGraphHelper()) << "TORM: updateScalarData"
41 41 << QThread::currentThread()->objectName();
42 42 if (auto qcpGraph = dynamic_cast<QCPGraph *>(component)) {
43 // Clean the graph
44 // NAIVE approch
45 43 scalarSeries.lockRead();
46 44 {
47 const auto xData = scalarSeries.xAxisData()->data();
48 const auto valuesData = scalarSeries.valuesData()->data();
49 const auto count = xData.count();
50 qCInfo(LOG_VisualizationGraphHelper()) << "TORM: Current points in cache"
51 << xData.count();
52
53 auto dataContainer = qcpGraph->data();
54 dataContainer->clear();
45 const auto &xData = scalarSeries.xAxisData()->cdata();
46 const auto &valuesData = scalarSeries.valuesData()->cdata();
47
48 auto xDataBegin = xData.cbegin();
49 auto xDataEnd = xData.cend();
50
51 qCInfo(LOG_VisualizationGraphHelper())
52 << "TORM: Current points in cache" << xData.count();
53
55 54 auto sqpDataContainer = QSharedPointer<SqpDataContainer>::create();
56 55 qcpGraph->setData(sqpDataContainer);
57 56
58 for (auto i = 0; i < count; ++i) {
59 const auto x = xData[i];
60 if (x >= dateTime.m_TStart && x <= dateTime.m_TEnd) {
61 sqpDataContainer->appendGraphDataUnsorted(QCPGraphData(x, valuesData[i]));
62 }
57 auto lowerIt = std::lower_bound(xDataBegin, xDataEnd, dateTime.m_TStart);
58 auto upperIt = std::upper_bound(xDataBegin, xDataEnd, dateTime.m_TEnd);
59 auto distance = std::distance(xDataBegin, lowerIt);
60
61 auto valuesDataIt = valuesData.cbegin() + distance;
62 for (auto xAxisDataIt = lowerIt; xAxisDataIt != upperIt;
63 ++xAxisDataIt, ++valuesDataIt) {
64 sqpDataContainer->appendGraphData(QCPGraphData(*xAxisDataIt, *valuesDataIt));
63 65 }
64 sqpDataContainer->sort();
65 qCInfo(LOG_VisualizationGraphHelper()) << "TORM: Current points displayed"
66 << sqpDataContainer->size();
66
67 qCInfo(LOG_VisualizationGraphHelper())
68 << "TORM: Current points displayed" << sqpDataContainer->size();
67 69 }
68 70 scalarSeries.unlock();
69 71
70 72
71 73 // Display all data
72 74 component->parentPlot()->replot();
73 75 }
74 76 else {
75 77 /// @todo DEBUG
76 78 }
77 79 }
78 80
79 81 QCPAbstractPlottable *createScalarSeriesComponent(ScalarSeries &scalarSeries, QCustomPlot &plot,
80 82 const SqpDateTime &dateTime)
81 83 {
82 84 auto component = plot.addGraph();
83 85
84 86 if (component) {
85 87 // // Graph data
86 88 component->setData(scalarSeries.xAxisData()->data(), scalarSeries.valuesData()->data(),
87 89 true);
88 90
89 91 updateScalarData(component, scalarSeries, dateTime);
90 92
91 93 // Axes properties
92 94 /// @todo : for the moment, no control is performed on the axes: the units and the tickers
93 95 /// are fixed for the default x-axis and y-axis of the plot, and according to the new graph
94 96
95 97 auto setAxisProperties = [](auto axis, const auto &unit) {
96 98 // label (unit name)
97 99 axis->setLabel(unit.m_Name);
98 100
99 101 // ticker (depending on the type of unit)
100 102 axis->setTicker(axisTicker(unit.m_TimeUnit));
101 103 };
102 104 setAxisProperties(plot.xAxis, scalarSeries.xAxisUnit());
103 105 setAxisProperties(plot.yAxis, scalarSeries.valuesUnit());
104 106
105 107 // Display all data
106 108 component->rescaleAxes();
107 109 plot.replot();
108 110 }
109 111 else {
110 112 qCDebug(LOG_VisualizationGraphHelper())
111 113 << QObject::tr("Can't create graph for the scalar series");
112 114 }
113 115
114 116 return component;
115 117 }
116 118
117 119 } // namespace
118 120
119 121 QVector<QCPAbstractPlottable *> VisualizationGraphHelper::create(std::shared_ptr<Variable> variable,
120 122 QCustomPlot &plot) noexcept
121 123 {
122 124 auto result = QVector<QCPAbstractPlottable *>{};
123 125
124 126 if (variable) {
125 127 // Gets the data series of the variable to call the creation of the right components
126 128 // according to its type
127 129 if (auto scalarSeries = dynamic_cast<ScalarSeries *>(variable->dataSeries())) {
128 130 result.append(createScalarSeriesComponent(*scalarSeries, plot, variable->dateTime()));
129 131 }
130 132 else {
131 133 qCDebug(LOG_VisualizationGraphHelper())
132 134 << QObject::tr("Can't create graph plottables : unmanaged data series type");
133 135 }
134 136 }
135 137 else {
136 138 qCDebug(LOG_VisualizationGraphHelper())
137 139 << QObject::tr("Can't create graph plottables : the variable is null");
138 140 }
139 141
140 142 return result;
141 143 }
142 144
143 145 void VisualizationGraphHelper::updateData(QVector<QCPAbstractPlottable *> plotableVect,
144 146 IDataSeries *dataSeries, const SqpDateTime &dateTime)
145 147 {
146 148 if (auto scalarSeries = dynamic_cast<ScalarSeries *>(dataSeries)) {
147 149 if (plotableVect.size() == 1) {
148 150 updateScalarData(plotableVect.at(0), *scalarSeries, dateTime);
149 151 }
150 152 else {
151 153 qCCritical(LOG_VisualizationGraphHelper()) << QObject::tr(
152 154 "Can't update Data of a scalarSeries because there is not only one component "
153 155 "associated");
154 156 }
155 157 }
156 158 else {
157 159 /// @todo DEBUG
158 160 }
159 161 }
@@ -1,95 +1,101
1 1 #include "CosinusProvider.h"
2 2
3 3 #include <Data/DataProviderParameters.h>
4 4 #include <Data/ScalarSeries.h>
5 5
6 6 #include <cmath>
7 7
8 8 #include <QDateTime>
9 9 #include <QFuture>
10 10 #include <QThread>
11 11 #include <QtConcurrent/QtConcurrent>
12 12
13 13 Q_LOGGING_CATEGORY(LOG_CosinusProvider, "CosinusProvider")
14 14
15 15 std::shared_ptr<IDataSeries> CosinusProvider::retrieveData(QUuid token, const SqpDateTime &dateTime)
16 16 {
17 17 // TODO: Add Mutex
18 18 auto dataIndex = 0;
19 19
20 20 // Gets the timerange from the parameters
21 21 double freq = 100.0;
22 double start = dateTime.m_TStart * freq; // 100 htz
23 double end = dateTime.m_TEnd * freq; // 100 htz
22 double start = std::ceil(dateTime.m_TStart * freq); // 100 htz
23 double end = std::floor(dateTime.m_TEnd * freq); // 100 htz
24 24
25 25 // We assure that timerange is valid
26 26 if (end < start) {
27 27 std::swap(start, end);
28 28 }
29 29
30 30 // Generates scalar series containing cosinus values (one value per second)
31 auto scalarSeries
32 = std::make_shared<ScalarSeries>(end - start, Unit{QStringLiteral("t"), true}, Unit{});
31 auto dataCount = end - start;
33 32
33 auto xAxisData = QVector<double>{};
34 xAxisData.resize(dataCount);
35
36 auto valuesData = QVector<double>{};
37 valuesData.resize(dataCount);
34 38
35 39 int progress = 0;
36 auto progressEnd = end - start;
40 auto progressEnd = dataCount;
37 41 for (auto time = start; time < end; ++time, ++dataIndex) {
38 42 auto it = m_VariableToEnableProvider.find(token);
39 43 if (it != m_VariableToEnableProvider.end() && it.value()) {
40 44 const auto timeOnFreq = time / freq;
41 scalarSeries->setData(dataIndex, timeOnFreq, std::cos(timeOnFreq));
45
46 xAxisData.replace(dataIndex, timeOnFreq);
47 valuesData.replace(dataIndex, std::cos(timeOnFreq));
42 48
43 49 // progression
44 50 int currentProgress = (time - start) * 100.0 / progressEnd;
45 51 if (currentProgress != progress) {
46 52 progress = currentProgress;
47 53
48 54 emit dataProvidedProgress(token, progress);
49 55 }
50 56 }
51 57 else {
52 58 if (!it.value()) {
53 59 qCDebug(LOG_CosinusProvider())
54 60 << "CosinusProvider::retrieveData: ARRET De l'acquisition detectΓ©"
55 61 << end - time;
56 62 }
57 63 }
58 64 }
59 65 emit dataProvidedProgress(token, 0.0);
60 66
61
62 return scalarSeries;
67 return std::make_shared<ScalarSeries>(std::move(xAxisData), std::move(valuesData),
68 Unit{QStringLiteral("t"), true}, Unit{});
63 69 }
64 70
65 71 void CosinusProvider::requestDataLoading(QUuid token, const DataProviderParameters &parameters)
66 72 {
67 73 // TODO: Add Mutex
68 74 m_VariableToEnableProvider[token] = true;
69 75 qCDebug(LOG_CosinusProvider()) << "CosinusProvider::requestDataLoading"
70 76 << QThread::currentThread()->objectName();
71 77 // NOTE: Try to use multithread if possible
72 78 const auto times = parameters.m_Times;
73 79
74 80 for (const auto &dateTime : qAsConst(times)) {
75 81 if (m_VariableToEnableProvider[token]) {
76 82 auto scalarSeries = this->retrieveData(token, dateTime);
77 83 emit dataProvided(token, scalarSeries, dateTime);
78 84 }
79 85 }
80 86 }
81 87
82 88 void CosinusProvider::requestDataAborting(QUuid identifier)
83 89 {
84 90 // TODO: Add Mutex
85 91 qCDebug(LOG_CosinusProvider()) << "CosinusProvider::requestDataAborting" << identifier
86 92 << QThread::currentThread()->objectName();
87 93 auto it = m_VariableToEnableProvider.find(identifier);
88 94 if (it != m_VariableToEnableProvider.end()) {
89 95 it.value() = false;
90 96 }
91 97 else {
92 98 qCWarning(LOG_CosinusProvider())
93 99 << tr("Aborting progression of inexistant identifier detected !!!");
94 100 }
95 101 }
General Comments 0
You need to be logged in to leave comments. Login now