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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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@@ -116,6 +116,10 public:
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 {
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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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@@ -28,5 +28,6
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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@@ -32,7 +32,7 DataSourceWidget::DataSourceWidget(QWidget* parent)
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
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