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Added back AMDA plugin, but Python impl this time :)...
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r1496:7c6302eee778
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1 import traceback
2 import os
3 from datetime import datetime, timedelta, timezone
4 from SciQLopBindings import PyDataProvider, Product, VectorTimeSerie, ScalarTimeSerie, DataSeriesType
5 import numpy as np
6 import requests
7 import copy
8 from spwc.amda import AMDA
9
10 amda = AMDA()
11
12 def amda_make_scalar(var=None):
13 if var is None:
14 return ((np.array(), np.array()), DataSeriesType.SCALAR)
15 else:
16 return ((var.time.copy(),var.data.copy()), DataSeriesType.SCALAR)
17
18 def amda_make_vector(var=None):
19 if var is None:
20 return ((np.array(), np.array()), DataSeriesType.VECTOR)
21 else:
22 return ((var.time.copy(),var.data.copy()), DataSeriesType.VECTOR)
23
24 def amda_make_multi_comp(var=None):
25 if var is None:
26 return ((np.array(), np.array()), DataSeriesType.MULTICOMPONENT)
27 else:
28 return ((var.time.copy(),var.data.copy()), DataSeriesType.MULTICOMPONENT)
29
30 def amda_make_spectro(var=None):
31 if var is None:
32 return ((np.array(), np.array()), DataSeriesType.SPECTROGRAM)
33 else:
34 min_sampling = float(var.meta.get("DATASET_MIN_SAMPLING","nan"))
35 max_sampling = float(var.meta.get("DATASET_MAX_SAMPLING","nan"))
36 if "PARAMETER_TABLE_MIN_VALUES[1]" in var.meta:
37 min_v = np.array([ float(v) for v in var.meta["PARAMETER_TABLE_MIN_VALUES[1]"].split(',') ])
38 max_v = np.array([ float(v) for v in var.meta["PARAMETER_TABLE_MAX_VALUES[1]"].split(',') ])
39 y = (max_v + min_v)/2.
40 elif "PARAMETER_TABLE_MIN_VALUES[0]" in var.meta:
41 min_v = np.array([ float(v) for v in var.meta["PARAMETER_TABLE_MIN_VALUES[0]"].split(',') ])
42 max_v = np.array([ float(v) for v in var.meta["PARAMETER_TABLE_MAX_VALUES[0]"].split(',') ])
43 y = (max_v + min_v)/2.
44 else:
45 y = np.logspace(1,3,var.data.shape[1])[::-1]
46 return ((var.time.copy(),var.data.copy()), DataSeriesType.SPECTROGRAM)
47 #return pysciqlopcore.SpectrogramTimeSerie(var.time,y,var.data,min_sampling,max_sampling,True)
48
49 def amda_get_sample(metadata,start,stop):
50 ts_type = amda_make_scalar
51 try:
52 param_id = None
53 for key,value in metadata:
54 if key == 'xml:id':
55 param_id = value
56 elif key == 'type':
57 if value == 'vector':
58 ts_type = amda_make_vector
59 elif value == 'multicomponent':
60 ts_type = amda_make_multi_comp
61 elif value == 'spectrogram':
62 ts_type = amda_make_spectro
63 tstart=datetime.fromtimestamp(start, tz=timezone.utc)
64 tend=datetime.fromtimestamp(stop, tz=timezone.utc)
65 var = amda.get_parameter(start_time=tstart, stop_time=tend, parameter_id=param_id, method="REST")
66 return ts_type(var)
67 except Exception as e:
68 print(traceback.format_exc())
69 print("Error in amda.py ",str(e))
70 return ts_type()
71
72
73 class AmdaProvider(PyDataProvider):
74 def __init__(self):
75 super(AmdaProvider,self).__init__()
76 if len(amda.component) is 0:
77 amda.update_inventory()
78 parameters = copy.deepcopy(amda.parameter)
79 for name,component in amda.component.items():
80 if 'components' in parameters[component['parameter']]:
81 parameters[component['parameter']]['components'].append(component)
82 else:
83 parameters[component['parameter']]['components']=[component]
84
85 products = []
86 for key,parameter in parameters.items():
87 path = f"/AMDA/{parameter['mission']}/{parameter.get('observatory','')}/{parameter['instrument']}/{parameter['dataset']}/{parameter['name']}"
88 components = [component['name'] for component in parameter.get('components',[])]
89 metadata = { key:item for key,item in parameter.items() if key is not 'components' }
90 n_components = parameter.get('size',0)
91 if n_components == '3':
92 metadata["type"]="vector"
93 elif parameter.get('display_type','')=="spectrogram":
94 metadata["type"]="spectrogram"
95 elif n_components !=0:
96 metadata["type"]="multicomponent"
97 else:
98 metadata["type"]="scalar"
99 products.append( Product(path, components, metadata))
100 self.register_products(products)
101 for mission in amda.mission:
102 self.set_icon(f'/AMDA/{mission}','satellite')
103
104 def get_data(self,metadata,start,stop):
105 ts_type = amda_make_scalar
106 try:
107 param_id = metadata['xml:id']
108 ts_type_str = metadata['type']
109 if ts_type_str == 'vector':
110 ts_type = amda_make_vector
111 elif ts_type_str == 'multicomponent':
112 ts_type = amda_make_multi_comp
113 elif ts_type_str == 'spectrogram':
114 ts_type = amda_make_spectro
115 tstart=datetime.fromtimestamp(start, tz=timezone.utc)
116 tend=datetime.fromtimestamp(stop, tz=timezone.utc)
117 var = amda.get_parameter(start_time=tstart, stop_time=tend, parameter_id=param_id, method="REST")
118 return ts_type(var)
119 except Exception as e:
120 print(traceback.format_exc())
121 print("Error in amda.py ",str(e))
122 return ts_type()
123
124 _amda = AmdaProvider()
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@@ -1,130 +1,134
1 1 #pragma once
2 2 #include <Data/DataProviderParameters.h>
3 3 #include <Data/DataSeriesType.h>
4 4 #include <Data/IDataProvider.h>
5 5 #include <DataSource/DataSourceItem.h>
6 6 #include <DataSource/DataSourceItemAction.h>
7 7 #include <DataSource/datasources.h>
8 8
9 9 #include <QPair>
10 10 #include <SqpApplication.h>
11 11 // must be included last because of Python/Qt definition of slots
12 12 #include "numpy_wrappers.h"
13 13
14 14 struct Product
15 15 {
16 16 QString path;
17 17 std::vector<std::string> components;
18 18 QMap<QString, QString> metadata;
19 19 Product() = default;
20 20 explicit Product(const QString& path, const std::vector<std::string>& components,
21 21 const QMap<QString, QString>& metadata)
22 22 : path { path }, components { components }, metadata { metadata }
23 23 {
24 24 }
25 25 ~Product() = default;
26 26 };
27 27
28 28 template <typename T>
29 29 ScalarTimeSerie* make_scalar(T& t, T& y)
30 30 {
31 31 return new ScalarTimeSerie { std::move(t.data), std::move(y.data) };
32 32 }
33 33
34 34 template <typename T>
35 35 VectorTimeSerie* make_vector(T& t, T& y)
36 36 {
37 37 return new VectorTimeSerie { std::move(t.data), y.to_std_vect_vect() };
38 38 }
39 39
40 40 template <typename T>
41 41 MultiComponentTimeSerie* make_multi_comp(T& t, T& y)
42 42 {
43 43 auto y_size = y.flat_size();
44 44 auto t_size = t.flat_size();
45 45 if (t_size && (y_size % t_size) == 0)
46 46 {
47 47 return new MultiComponentTimeSerie { std::move(t.data), std::move(y.data),
48 48 { t_size, y_size / t_size } };
49 49 }
50 50 return nullptr;
51 51 }
52 52
53 53 template <typename T>
54 54 SpectrogramTimeSerie* make_spectro(T& t, T& y)
55 55 {
56 56 auto y_size = y.flat_size();
57 57 auto t_size = t.flat_size();
58 58 if (t_size && (y_size % t_size) == 0)
59 59 {
60 60 return new SpectrogramTimeSerie { std::move(t.data), std::move(y.data),
61 61 { t_size, y_size / t_size } };
62 62 }
63 63 return nullptr;
64 64 }
65 65
66 66
67 67 class PyDataProvider : public IDataProvider
68 68 {
69 69 public:
70 70 PyDataProvider()
71 71 {
72 72 auto& dataSources = sqpApp->dataSources();
73 73 dataSources.addProvider(this);
74 74 }
75 75
76 76 virtual ~PyDataProvider() {}
77 77
78 78 virtual QPair<QPair<NpArray, NpArray>, DataSeriesType> get_data(
79 79 const QMap<QString, QString>& key, double start_time, double stop_time)
80 80 {
81 81 (void)key, (void)start_time, (void)stop_time;
82 82 return {};
83 83 }
84 84
85 85 virtual TimeSeries::ITimeSerie* getData(const DataProviderParameters& parameters) override
86 86 {
87 87 TimeSeries::ITimeSerie* ts = nullptr;
88 88 if (parameters.m_Data.contains("name"))
89 89 {
90 90 QMap<QString, QString> metadata;
91 91 std::for_each(parameters.m_Data.constKeyValueBegin(),
92 92 parameters.m_Data.constKeyValueEnd(),
93 93 [&metadata](const auto& item) { metadata[item.first] = item.second.toString(); });
94 94 auto [data, type]
95 95 = get_data(metadata, parameters.m_Range.m_TStart, parameters.m_Range.m_TEnd);
96 96
97 97 auto& [t, y] = data;
98 98 switch (type)
99 99 {
100 100 case DataSeriesType::SCALAR:
101 101 ts = make_scalar(t, y);
102 102 break;
103 103 case DataSeriesType::VECTOR:
104 104 ts = make_vector(t, y);
105 105 break;
106 106 case DataSeriesType::MULTICOMPONENT:
107 107 ts = make_multi_comp(t, y);
108 108 break;
109 109 case DataSeriesType::SPECTROGRAM:
110 110 ts = make_spectro(t, y);
111 111 break;
112 112 default:
113 113 break;
114 114 }
115 115 }
116 116 return ts;
117 117 }
118 118
119 inline void set_icon(const QString& path, const QString& name)
120 {
121 sqpApp->dataSources().setIcon(path, name);
122 }
119 123
120 124 inline void register_products(const QVector<Product*>& products)
121 125 {
122 126 auto& dataSources = sqpApp->dataSources();
123 127 auto id = this->id();
124 128 auto data_source_name = this->name();
125 129 std::for_each(std::cbegin(products), std::cend(products),
126 130 [&id, &dataSources](const Product* product) {
127 131 dataSources.addDataSourceItem(id, product->path, product->metadata);
128 132 });
129 133 }
130 134 };
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@@ -1,2 +1,3
1 1
2 2 configure_file(input:'TestPlugin.py', output:'TestPlugin.py', copy:true)
3 configure_file(input:'SPWC-Amda.py', output:'SPWC-Amda.py', copy:true)
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@@ -1,32 +1,33
1 1 <RCC>
2 2 <qresource prefix="/">
3 3 <file>icones/dataSourceComponent.png</file>
4 4 <file>icones/dataSourceNode.png</file>
5 5 <file>icones/dataSourceProduct.png</file>
6 6 <file>icones/dataSourceRoot.png</file>
7 7 <file>icones/delete.png</file>
8 8 <file>icones/down.png</file>
9 9 <file>icones/openInspector.png</file>
10 10 <file>icones/next.png</file>
11 11 <file>icones/plot.png</file>
12 12 <file>icones/previous.png</file>
13 13 <file>icones/unplot.png</file>
14 14 <file>icones/up.png</file>
15 15 <file>icones/time.png</file>
16 16 <file>icones/zoom.png</file>
17 17 <file>icones/rectangle.png</file>
18 18 <file>icones/drag.png</file>
19 19 <file>icones/cursor.png</file>
20 20 <file>icones/pointer.png</file>
21 21 <file>icones/catalogue.png</file>
22 22 <file>icones/add.png</file>
23 23 <file>icones/remove.png</file>
24 24 <file>icones/chart.png</file>
25 25 <file>icones/allEvents.png</file>
26 26 <file>icones/trash.png</file>
27 27 <file>icones/database.png</file>
28 28 <file>icones/save.png</file>
29 29 <file>icones/discard.png</file>
30 30 <file>icones/Simple_icon_time.svg</file>
31 <file>icones/satellite.svg</file>
31 32 </qresource>
32 33 </RCC>
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@@ -1,42 +1,42
1 1 #include <DataSource/DataSourceWidget.h>
2 2
3 3 #include <ui_DataSourceWidget.h>
4 4
5 5 #include <DataSource/datasources.h>
6 6
7 7 #include <SqpApplication.h>
8 8
9 9
10 10 namespace
11 11 {
12 12
13 13 /// Number of columns displayed in the tree
14 14 const auto TREE_NB_COLUMNS = 1;
15 15
16 16 /// Header labels for the tree
17 17 const auto TREE_HEADER_LABELS = QStringList { QObject::tr("Name") };
18 18
19 19 } // namespace
20 20
21 21 DataSourceWidget::DataSourceWidget(QWidget* parent)
22 22 : QWidget { parent }
23 23 , ui { new Ui::DataSourceWidget }
24 24 {
25 25 ui->setupUi(this);
26 26 m_model_proxy.setSourceModel(&(sqpApp->dataSources()));
27 27 ui->treeView->setModel(&m_model_proxy);
28 28 ui->treeView->setDragEnabled(true);
29 29 m_model_proxy.setFilterRole(Qt::ToolTipRole);
30 30 m_model_proxy.setRecursiveFilteringEnabled(true);
31 31
32 32 // Connection to filter tree
33 33 connect(ui->filterLineEdit, &QLineEdit::textChanged, &m_model_proxy, static_cast<void (QSortFilterProxyModel::*)(const QString&)>(
34 34 &QSortFilterProxyModel::setFilterRegExp));
35
35 sqpApp->dataSources().addIcon("satellite",QVariant(QIcon(":/icones/satellite.svg")));
36 36 }
37 37
38 38 DataSourceWidget::~DataSourceWidget() noexcept
39 39 {
40 40 delete ui;
41 41 }
42 42
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