| 1 | ################################################################################ |
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| 2 | #This software was developed by the University of Tennessee as part of the |
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| 3 | #Distributed Data Analysis of Neutron Scattering Experiments (DANSE) |
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| 4 | #project funded by the US National Science Foundation. |
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| 5 | # |
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| 6 | #See the license text in license.txt |
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| 7 | # |
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| 8 | #copyright 2010, University of Tennessee |
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| 9 | ################################################################################ |
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| 10 | """ |
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| 11 | This module manages all data loaded into the application. Data_manager makes |
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| 12 | available all data loaded for the current perspective. |
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| 13 | |
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| 14 | All modules "creating Data" posts their data to data_manager . |
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| 15 | Data_manager make these new data available for all other perspectives. |
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| 16 | """ |
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| 17 | import logging |
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| 18 | import os |
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| 19 | import copy |
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| 20 | |
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| 21 | from sans.guiframe.data_state import DataState |
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| 22 | from sans.guiframe.utils import parse_name |
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| 23 | import sans.dataloader.data_info as DataInfo |
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| 24 | from sans.guiframe.dataFitting import Data1D |
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| 25 | from sans.guiframe.dataFitting import Data2D |
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| 26 | import time |
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| 27 | |
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| 28 | class DataManager(object): |
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| 29 | """ |
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| 30 | Manage a list of data |
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| 31 | """ |
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| 32 | def __init__(self): |
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| 33 | """ |
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| 34 | Store opened path and data object created at the loading time |
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| 35 | :param auto_plot: if True the datamanager sends data to plotting |
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| 36 | plugin. |
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| 37 | :param auto_set_data: if True the datamanager sends to the current |
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| 38 | perspective |
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| 39 | """ |
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| 40 | self.stored_data = {} |
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| 41 | self.message = "" |
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| 42 | self.data_name_dict = {} |
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| 43 | self.count = 0 |
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| 44 | self.list_of_id = [] |
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| 45 | self.time_stamp = time.time() |
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| 46 | |
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| 47 | def __str__(self): |
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| 48 | _str = "" |
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| 49 | _str += "No of states is %s \n" % str(len(self.stored_data)) |
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| 50 | n_count = 0 |
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| 51 | for value in self.stored_data.values(): |
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| 52 | n_count += 1 |
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| 53 | _str += "State No %s \n" % str(n_count) |
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| 54 | _str += str(value) + "\n" |
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| 55 | return _str |
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| 56 | |
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| 57 | def create_gui_data(self, data, path=None): |
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| 58 | """ |
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| 59 | Receive data from loader and create a data to use for guiframe |
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| 60 | """ |
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| 61 | |
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| 62 | if issubclass(Data2D, data.__class__): |
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| 63 | new_plot = Data2D(image=None, err_image=None) |
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| 64 | else: |
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| 65 | new_plot = Data1D(x=[], y=[], dx=None, dy=None) |
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| 66 | |
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| 67 | new_plot.copy_from_datainfo(data) |
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| 68 | data.clone_without_data(clone=new_plot) |
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| 69 | #creating a name for data |
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| 70 | name = "" |
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| 71 | title = "" |
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| 72 | file_name = "" |
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| 73 | if path is not None: |
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| 74 | file_name = os.path.basename(path) |
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| 75 | if file_name == "": |
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| 76 | file_name = data.filename |
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| 77 | if data.run: |
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| 78 | run_num = data.run[0] |
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| 79 | name = file_name |
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| 80 | if name == "": |
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| 81 | name = run_num |
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| 82 | name = self.rename(name) |
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| 83 | #find title |
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| 84 | if data.title.strip(): |
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| 85 | title = data.title |
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| 86 | if title.strip() == "": |
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| 87 | title = file_name |
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| 88 | |
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| 89 | if new_plot.filename.strip() == "": |
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| 90 | new_plot.filename = file_name |
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| 91 | |
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| 92 | new_plot.name = name |
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| 93 | new_plot.title = title |
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| 94 | ## allow to highlight data when plotted |
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| 95 | new_plot.interactive = True |
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| 96 | ## when 2 data have the same id override the 1 st plotted |
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| 97 | self.time_stamp += 1 |
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| 98 | new_plot.id = str(name) + str(self.time_stamp) |
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| 99 | ##group_id specify on which panel to plot this data |
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| 100 | new_plot.group_id = str(name) + str(self.time_stamp) |
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| 101 | new_plot.is_data = True |
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| 102 | new_plot.path = path |
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| 103 | new_plot.list_group_id = [] |
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| 104 | ##post data to plot |
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| 105 | # plot data |
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| 106 | return new_plot |
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| 107 | |
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| 108 | def rename(self, name): |
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| 109 | """ |
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| 110 | rename data |
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| 111 | """ |
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| 112 | ## name of the data allow to differentiate data when plotted |
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| 113 | name = parse_name(name=name, expression="_") |
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| 114 | |
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| 115 | max_char = name.find("[") |
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| 116 | if max_char < 0: |
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| 117 | max_char = len(name) |
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| 118 | name = name[0:max_char] |
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| 119 | |
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| 120 | if name not in self.data_name_dict: |
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| 121 | self.data_name_dict[name] = 0 |
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| 122 | else: |
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| 123 | self.data_name_dict[name] += 1 |
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| 124 | name = name + " [" + str(self.data_name_dict[name]) + "]" |
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| 125 | return name |
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| 126 | |
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| 127 | |
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| 128 | def add_data(self, data_list): |
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| 129 | """ |
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| 130 | receive a list of |
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| 131 | """ |
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| 132 | for id, data in data_list.iteritems(): |
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| 133 | if id in self.stored_data: |
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| 134 | msg = "Data manager already stores %s" % str(data.name) |
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| 135 | msg += "" |
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| 136 | logging.info(msg) |
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| 137 | data_state = self.stored_data[id] |
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| 138 | data_state.data = data |
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| 139 | else: |
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| 140 | data_state = DataState(data) |
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| 141 | data_state.id = id |
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| 142 | self.stored_data[id] = data_state |
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| 143 | |
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| 144 | def update_data(self, prev_data, new_data): |
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| 145 | """ |
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| 146 | """ |
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| 147 | if prev_data.id not in self.stored_data.keys(): |
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| 148 | return None, {} |
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| 149 | data_state = self.stored_data[prev_data.id] |
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| 150 | self.stored_data[new_data.id] = data_state.clone() |
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| 151 | self.stored_data[new_data.id].data = new_data |
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| 152 | if prev_data.id in self.stored_data.keys(): |
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| 153 | del self.stored_data[prev_data.id] |
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| 154 | return prev_data.id, {new_data.id: self.stored_data[new_data.id]} |
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| 155 | |
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| 156 | def update_theory(self, theory, data_id=None, state=None): |
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| 157 | """ |
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| 158 | """ |
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| 159 | uid = data_id |
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| 160 | if data_id is None and theory is not None: |
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| 161 | uid = theory.id |
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| 162 | if uid in self.stored_data.keys(): |
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| 163 | data_state = self.stored_data[uid] |
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| 164 | else: |
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| 165 | data_state = DataState() |
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| 166 | data_state.uid = uid |
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| 167 | data_state.set_theory(theory_data=theory, theory_state=state) |
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| 168 | self.stored_data[uid] = data_state |
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| 169 | return {uid: self.stored_data[uid]} |
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| 170 | |
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| 171 | |
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| 172 | def get_message(self): |
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| 173 | """ |
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| 174 | return message |
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| 175 | """ |
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| 176 | return self.message |
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| 177 | |
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| 178 | def get_by_id(self, id_list=None): |
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| 179 | """ |
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| 180 | """ |
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| 181 | _selected_data = {} |
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| 182 | _selected_theory_list = {} |
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| 183 | if id_list is None: |
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| 184 | return |
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| 185 | for d_id in self.stored_data: |
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| 186 | for search_id in id_list: |
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| 187 | data_state = self.stored_data[d_id] |
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| 188 | data = data_state.data |
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| 189 | theory_list = data_state.get_theory() |
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| 190 | if search_id == d_id: |
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| 191 | _selected_data[search_id] = data |
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| 192 | if search_id in theory_list.keys(): |
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| 193 | _selected_theory_list[search_id] = theory_list[search_id] |
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| 194 | |
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| 195 | return _selected_data, _selected_theory_list |
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| 196 | |
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| 197 | |
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| 198 | def freeze(self, theory_id): |
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| 199 | """ |
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| 200 | """ |
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| 201 | return self.freeze_theory(self.stored_data.keys(), theory_id) |
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| 202 | |
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| 203 | def freeze_theory(self, data_id, theory_id): |
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| 204 | """ |
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| 205 | """ |
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| 206 | selected_theory = {} |
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| 207 | for d_id in data_id: |
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| 208 | if d_id in self.stored_data: |
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| 209 | data_state = self.stored_data[d_id] |
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| 210 | theory_list = data_state.get_theory() |
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| 211 | for t_id in theory_id: |
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| 212 | if t_id in theory_list.keys(): |
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| 213 | theory_data, theory_state = theory_list[t_id] |
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| 214 | new_theory = copy.deepcopy(theory_data) |
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| 215 | new_theory.id = time.time() |
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| 216 | new_theory.is_data = True |
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| 217 | selected_theory[new_theory.id] = DataState(new_theory) |
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| 218 | self.stored_data[new_theory.id] = selected_theory[new_theory.id] |
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| 219 | |
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| 220 | return selected_theory |
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| 221 | |
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| 222 | |
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| 223 | def delete_data(self, data_id, theory_id=None, delete_all=False): |
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| 224 | """ |
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| 225 | """ |
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| 226 | for d_id in data_id: |
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| 227 | if d_id in self.stored_data.keys(): |
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| 228 | data_state = self.stored_data[d_id] |
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| 229 | if data_state.data.name in self.data_name_dict: |
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| 230 | del self.data_name_dict[data_state.data.name] |
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| 231 | del self.stored_data[d_id] |
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| 232 | |
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| 233 | self.delete_theory(data_id, theory_id) |
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| 234 | if delete_all: |
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| 235 | self.stored_data = {} |
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| 236 | self.data_name_dict = {} |
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| 237 | |
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| 238 | def delete_theory(self, data_id, theory_id): |
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| 239 | """ |
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| 240 | """ |
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| 241 | for d_id in data_id: |
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| 242 | if d_id in self.stored_data: |
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| 243 | data_state = self.stored_data[d_id] |
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| 244 | theory_list = data_state.get_theory() |
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| 245 | if theory_id in theory_list.keys(): |
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| 246 | del theory_list[theory_id] |
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| 247 | |
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| 248 | |
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| 249 | def delete_by_id(self, id_list=None): |
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| 250 | """ |
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| 251 | save data and path |
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| 252 | """ |
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| 253 | for id in id_list: |
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| 254 | if id in self.stored_data: |
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| 255 | del self.stored_data[id] |
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| 256 | |
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| 257 | |
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| 258 | def get_by_name(self, name_list=None): |
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| 259 | """ |
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| 260 | return a list of data given a list of data names |
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| 261 | """ |
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| 262 | _selected_data = {} |
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| 263 | for selected_name in name_list: |
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| 264 | for id, data_state in self.stored_data.iteritems(): |
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| 265 | if data_state.data.name == selected_name: |
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| 266 | _selected_data[id] = data_state.data |
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| 267 | return _selected_data |
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| 268 | |
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| 269 | def delete_by_name(self, name_list=None): |
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| 270 | """ |
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| 271 | save data and path |
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| 272 | """ |
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| 273 | for selected_name in name_list: |
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| 274 | for id, data_state in self.stored_data.iteritems(): |
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| 275 | if data_state.data.name == selected_name: |
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| 276 | del self._selected_data[id] |
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| 277 | del self.stored_data[data.id] |
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| 278 | |
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| 279 | def get_data_state(self, data_id): |
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| 280 | """ |
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| 281 | Send list of selected data |
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| 282 | """ |
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| 283 | _selected_data_state = {} |
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| 284 | for id in data_id: |
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| 285 | if id in self.stored_data.keys(): |
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| 286 | _selected_data_state[id] = self.stored_data[id] |
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| 287 | return _selected_data_state |
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| 288 | |
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| 289 | def get_all_data(self): |
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| 290 | """ |
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| 291 | return list of all available data |
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| 292 | """ |
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| 293 | return self.stored_data |
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| 294 | |
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| 295 | |
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| 296 | |
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