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1 | import traceback | |||
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2 | import os | |||
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3 | from datetime import datetime, timedelta, timezone | |||
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4 | from SciQLopBindings import PyDataProvider, Product, VectorTimeSerie, ScalarTimeSerie, DataSeriesType | |||
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5 | import numpy as np | |||
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6 | import requests | |||
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7 | import copy | |||
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8 | from spwc.amda import AMDA | |||
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9 | ||||
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10 | amda = AMDA() | |||
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11 | ||||
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12 | def amda_make_scalar(var=None): | |||
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13 | if var is None: | |||
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14 | return ((np.array(), np.array()), DataSeriesType.SCALAR) | |||
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15 | else: | |||
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16 | return ((var.time.copy(),var.data.copy()), DataSeriesType.SCALAR) | |||
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17 | ||||
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18 | def amda_make_vector(var=None): | |||
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19 | if var is None: | |||
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20 | return ((np.array(), np.array()), DataSeriesType.VECTOR) | |||
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21 | else: | |||
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22 | return ((var.time.copy(),var.data.copy()), DataSeriesType.VECTOR) | |||
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23 | ||||
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24 | def amda_make_multi_comp(var=None): | |||
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25 | if var is None: | |||
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26 | return ((np.array(), np.array()), DataSeriesType.MULTICOMPONENT) | |||
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27 | else: | |||
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28 | return ((var.time.copy(),var.data.copy()), DataSeriesType.MULTICOMPONENT) | |||
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29 | ||||
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30 | def amda_make_spectro(var=None): | |||
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31 | if var is None: | |||
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32 | return ((np.array(), np.array()), DataSeriesType.SPECTROGRAM) | |||
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33 | else: | |||
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34 | min_sampling = float(var.meta.get("DATASET_MIN_SAMPLING","nan")) | |||
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35 | max_sampling = float(var.meta.get("DATASET_MAX_SAMPLING","nan")) | |||
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36 | if "PARAMETER_TABLE_MIN_VALUES[1]" in var.meta: | |||
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37 | min_v = np.array([ float(v) for v in var.meta["PARAMETER_TABLE_MIN_VALUES[1]"].split(',') ]) | |||
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38 | max_v = np.array([ float(v) for v in var.meta["PARAMETER_TABLE_MAX_VALUES[1]"].split(',') ]) | |||
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39 | y = (max_v + min_v)/2. | |||
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40 | elif "PARAMETER_TABLE_MIN_VALUES[0]" in var.meta: | |||
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41 | min_v = np.array([ float(v) for v in var.meta["PARAMETER_TABLE_MIN_VALUES[0]"].split(',') ]) | |||
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42 | max_v = np.array([ float(v) for v in var.meta["PARAMETER_TABLE_MAX_VALUES[0]"].split(',') ]) | |||
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43 | y = (max_v + min_v)/2. | |||
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44 | else: | |||
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45 | y = np.logspace(1,3,var.data.shape[1])[::-1] | |||
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46 | return ((var.time.copy(),var.data.copy()), DataSeriesType.SPECTROGRAM) | |||
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47 | #return pysciqlopcore.SpectrogramTimeSerie(var.time,y,var.data,min_sampling,max_sampling,True) | |||
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48 | ||||
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49 | def amda_get_sample(metadata,start,stop): | |||
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50 | ts_type = amda_make_scalar | |||
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51 | try: | |||
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52 | param_id = None | |||
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53 | for key,value in metadata: | |||
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54 | if key == 'xml:id': | |||
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55 | param_id = value | |||
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56 | elif key == 'type': | |||
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57 | if value == 'vector': | |||
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58 | ts_type = amda_make_vector | |||
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59 | elif value == 'multicomponent': | |||
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60 | ts_type = amda_make_multi_comp | |||
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61 | elif value == 'spectrogram': | |||
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62 | ts_type = amda_make_spectro | |||
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63 | tstart=datetime.fromtimestamp(start, tz=timezone.utc) | |||
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64 | tend=datetime.fromtimestamp(stop, tz=timezone.utc) | |||
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65 | var = amda.get_parameter(start_time=tstart, stop_time=tend, parameter_id=param_id, method="REST") | |||
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66 | return ts_type(var) | |||
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67 | except Exception as e: | |||
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68 | print(traceback.format_exc()) | |||
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69 | print("Error in amda.py ",str(e)) | |||
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70 | return ts_type() | |||
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71 | ||||
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72 | ||||
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73 | class AmdaProvider(PyDataProvider): | |||
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74 | def __init__(self): | |||
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75 | super(AmdaProvider,self).__init__() | |||
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76 | if len(amda.component) is 0: | |||
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77 | amda.update_inventory() | |||
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78 | parameters = copy.deepcopy(amda.parameter) | |||
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79 | for name,component in amda.component.items(): | |||
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80 | if 'components' in parameters[component['parameter']]: | |||
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81 | parameters[component['parameter']]['components'].append(component) | |||
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82 | else: | |||
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83 | parameters[component['parameter']]['components']=[component] | |||
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84 | ||||
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85 | products = [] | |||
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86 | for key,parameter in parameters.items(): | |||
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87 | path = f"/AMDA/{parameter['mission']}/{parameter.get('observatory','')}/{parameter['instrument']}/{parameter['dataset']}/{parameter['name']}" | |||
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88 | components = [component['name'] for component in parameter.get('components',[])] | |||
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89 | metadata = { key:item for key,item in parameter.items() if key is not 'components' } | |||
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90 | n_components = parameter.get('size',0) | |||
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91 | if n_components == '3': | |||
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92 | metadata["type"]="vector" | |||
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93 | elif parameter.get('display_type','')=="spectrogram": | |||
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94 | metadata["type"]="spectrogram" | |||
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95 | elif n_components !=0: | |||
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96 | metadata["type"]="multicomponent" | |||
|
97 | else: | |||
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98 | metadata["type"]="scalar" | |||
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99 | products.append( Product(path, components, metadata)) | |||
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100 | self.register_products(products) | |||
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101 | for mission in amda.mission: | |||
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102 | self.set_icon(f'/AMDA/{mission}','satellite') | |||
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103 | ||||
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104 | def get_data(self,metadata,start,stop): | |||
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105 | ts_type = amda_make_scalar | |||
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106 | try: | |||
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107 | param_id = metadata['xml:id'] | |||
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108 | ts_type_str = metadata['type'] | |||
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109 | if ts_type_str == 'vector': | |||
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110 | ts_type = amda_make_vector | |||
|
111 | elif ts_type_str == 'multicomponent': | |||
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112 | ts_type = amda_make_multi_comp | |||
|
113 | elif ts_type_str == 'spectrogram': | |||
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114 | ts_type = amda_make_spectro | |||
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115 | tstart=datetime.fromtimestamp(start, tz=timezone.utc) | |||
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116 | tend=datetime.fromtimestamp(stop, tz=timezone.utc) | |||
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117 | var = amda.get_parameter(start_time=tstart, stop_time=tend, parameter_id=param_id, method="REST") | |||
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118 | return ts_type(var) | |||
|
119 | except Exception as e: | |||
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120 | print(traceback.format_exc()) | |||
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121 | print("Error in amda.py ",str(e)) | |||
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122 | return ts_type() | |||
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123 | ||||
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124 | _amda = AmdaProvider() |
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231 | id="rect5011" | |||
|
232 | style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:none;stroke-width:2.0940001;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" /> | |||
|
233 | <rect | |||
|
234 | transform="rotate(19.88622)" | |||
|
235 | style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:none;stroke-width:2.0940001;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" | |||
|
236 | id="rect5013" | |||
|
237 | width="23.964754" | |||
|
238 | height="23.612339" | |||
|
239 | x="213.26323" | |||
|
240 | y="-1.4422622" | |||
|
241 | ry="0" /> | |||
|
242 | <rect | |||
|
243 | transform="rotate(19.88622)" | |||
|
244 | style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:none;stroke-width:2.0940001;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" | |||
|
245 | id="rect5015" | |||
|
246 | width="23.964754" | |||
|
247 | height="23.612339" | |||
|
248 | x="300.66321" | |||
|
249 | y="27.104183" | |||
|
250 | ry="0" /> | |||
|
251 | <rect | |||
|
252 | transform="rotate(19.88622)" | |||
|
253 | ry="0" | |||
|
254 | y="-1.4422622" | |||
|
255 | x="300.66321" | |||
|
256 | height="23.612339" | |||
|
257 | width="23.964754" | |||
|
258 | id="rect5017" | |||
|
259 | style="fill:#000000;fill-opacity:1;fill-rule:evenodd;stroke:none;stroke-width:2.0940001;stroke-miterlimit:4;stroke-dasharray:none;stroke-opacity:1" /> | |||
|
260 | </svg> |
@@ -116,6 +116,10 public: | |||||
116 | return ts; |
|
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 | inline void register_products(const QVector<Product*>& products) |
|
124 | inline void register_products(const QVector<Product*>& products) | |
121 | { |
|
125 | { |
@@ -1,2 +1,3 | |||||
1 |
|
1 | |||
2 | configure_file(input:'TestPlugin.py', output:'TestPlugin.py', copy:true) |
|
2 | configure_file(input:'TestPlugin.py', output:'TestPlugin.py', copy:true) | |
|
3 | configure_file(input:'SPWC-Amda.py', output:'SPWC-Amda.py', copy:true) |
@@ -28,5 +28,6 | |||||
28 | <file>icones/save.png</file> |
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28 | <file>icones/save.png</file> | |
29 | <file>icones/discard.png</file> |
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29 | <file>icones/discard.png</file> | |
30 | <file>icones/Simple_icon_time.svg</file> |
|
30 | <file>icones/Simple_icon_time.svg</file> | |
|
31 | <file>icones/satellite.svg</file> | |||
31 | </qresource> |
|
32 | </qresource> | |
32 | </RCC> |
|
33 | </RCC> |
@@ -32,7 +32,7 DataSourceWidget::DataSourceWidget(QWidget* parent) | |||||
32 | // Connection to filter tree |
|
32 | // Connection to filter tree | |
33 | connect(ui->filterLineEdit, &QLineEdit::textChanged, &m_model_proxy, static_cast<void (QSortFilterProxyModel::*)(const QString&)>( |
|
33 | connect(ui->filterLineEdit, &QLineEdit::textChanged, &m_model_proxy, static_cast<void (QSortFilterProxyModel::*)(const QString&)>( | |
34 | &QSortFilterProxyModel::setFilterRegExp)); |
|
34 | &QSortFilterProxyModel::setFilterRegExp)); | |
35 |
|
35 | sqpApp->dataSources().addIcon("satellite",QVariant(QIcon(":/icones/satellite.svg"))); | ||
36 | } |
|
36 | } | |
37 |
|
37 | |||
38 | DataSourceWidget::~DataSourceWidget() noexcept |
|
38 | DataSourceWidget::~DataSourceWidget() noexcept |
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