|
| 1 | +import json |
| 2 | +import os |
| 3 | + |
| 4 | +import pandas as pd |
| 5 | +from networkx.classes.digraph import DiGraph |
| 6 | +from networkx.testing import assert_graphs_equal |
| 7 | +from numpy.testing import assert_equal |
| 8 | + |
| 9 | +from pymove.utils.constants import ( |
| 10 | + DATETIME, |
| 11 | + LATITUDE, |
| 12 | + LOCAL_LABEL, |
| 13 | + LONGITUDE, |
| 14 | + PREV_LOCAL, |
| 15 | + TID, |
| 16 | + TRAJ_ID, |
| 17 | +) |
| 18 | +from pymove.utils.networkx import ( |
| 19 | + _populate_graph, |
| 20 | + build_transition_graph_from_df, |
| 21 | + build_transition_graph_from_dict, |
| 22 | + graph_to_dict, |
| 23 | + read_graph_json, |
| 24 | + save_graph_as_json, |
| 25 | +) |
| 26 | + |
| 27 | +dict_graph = { |
| 28 | + 'nodes': { |
| 29 | + 'coords': { '85': (-3.8347478, -38.592189), '673': (-3.8235834, -38.590389), |
| 30 | + '394': (-3.813889, -38.5904445), '263': (-3.9067654, -38.5907723), |
| 31 | + '224': (-3.8857223, -38.5928892), '623': (-3.8828723, -38.5929789)}, |
| 32 | + 'datetime': { '85': ['2017-09-02 22:00:27'], '673': ['2017-09-02 22:01:36'], |
| 33 | + '394': ['2017-09-02 22:03:08'], '263': ['2017-09-02 22:03:46'], |
| 34 | + '224': ['2017-09-02 22:07:19'], '623': ['2017-09-02 22:07:40']}, |
| 35 | + 'freq_source': {'85': 1, '673': 0, '394': 0, '263': 0, '224': 0, '623': 0}, |
| 36 | + 'freq_target': {'85': 0, '673': 0, '394': 0, '263': 0, '224': 0, '623': 1}}, |
| 37 | + 'edges': { |
| 38 | + '85': {'673': {'weight': 1, 'mean_times': '0 days 00:01:09'}}, |
| 39 | + '673': {'394': {'weight': 1, 'mean_times': '0 days 00:01:32'}}, |
| 40 | + '394': {'263': {'weight': 1, 'mean_times': '0 days 00:00:38'}}, |
| 41 | + '263': {'224': {'weight': 1, 'mean_times': '0 days 00:03:33'}}, |
| 42 | + '224': {'623': {'weight': 1, 'mean_times': '0 days 00:00:21'}}, |
| 43 | + '623': {}}} |
| 44 | + |
| 45 | +list_data1 = { |
| 46 | + TRAJ_ID: [[1, 1, 1, 1, 1, 1]], |
| 47 | + DATETIME: [[pd.Timestamp('2017-09-02 22:00:27'), |
| 48 | + pd.Timestamp('2017-09-02 22:01:36'), |
| 49 | + pd.Timestamp('2017-09-02 22:03:08'), |
| 50 | + pd.Timestamp('2017-09-02 22:03:46'), |
| 51 | + pd.Timestamp('2017-09-02 22:07:19'), |
| 52 | + pd.Timestamp('2017-09-02 22:07:40')]], |
| 53 | + LOCAL_LABEL: [[85, 673, 394, 263, 224, 623]], |
| 54 | + LATITUDE: [[-3.8347478, -3.8235834, -3.813889, |
| 55 | + -3.9067654, -3.8857223, -3.8828723]], |
| 56 | + LONGITUDE: [[-38.592189, -38.590389, -38.5904445, |
| 57 | + -38.5907723, -38.5928892, -38.5929789]], |
| 58 | + TID: [['12017090222', '12017090222', '12017090222', |
| 59 | + '12017090222', '12017090222', '12017090222']] |
| 60 | +} |
| 61 | + |
| 62 | + |
| 63 | +def _transition_graph(): |
| 64 | + expected_graph = DiGraph() |
| 65 | + expected_graph.add_node('85', coords=(-3.8347478, -38.592189), |
| 66 | + datetime=['2017-09-02 22:00:27'], freq_source=1, freq_target=0) |
| 67 | + expected_graph.add_node('673', coords=(-3.8235834, -38.590389), |
| 68 | + datetime=['2017-09-02 22:01:36'], freq_source=0, freq_target=0) |
| 69 | + expected_graph.add_node('394', coords=(-3.813889, -38.5904445), |
| 70 | + datetime=['2017-09-02 22:03:08'], freq_source=0, freq_target=0) |
| 71 | + expected_graph.add_node('263', coords=(-3.9067654, -38.5907723), |
| 72 | + datetime=['2017-09-02 22:03:46'], freq_source=0, freq_target=0) |
| 73 | + expected_graph.add_node('224', coords=(-3.8857223, -38.5928892), |
| 74 | + datetime=['2017-09-02 22:07:19'], freq_source=0, freq_target=0) |
| 75 | + expected_graph.add_node('623', coords=(-3.8828723, -38.5929789), |
| 76 | + datetime=['2017-09-02 22:07:40'], freq_source=0, freq_target=1) |
| 77 | + expected_graph.add_edge( '85', '673', weight=1, mean_times='0 days 00:01:09') |
| 78 | + expected_graph.add_edge('673', '394', weight=1, mean_times='0 days 00:01:32') |
| 79 | + expected_graph.add_edge('394', '263', weight=1, mean_times='0 days 00:00:38') |
| 80 | + expected_graph.add_edge('263', '224', weight=1, mean_times='0 days 00:03:33') |
| 81 | + expected_graph.add_edge('224', '623', weight=1, mean_times='0 days 00:00:21') |
| 82 | + |
| 83 | + return expected_graph |
| 84 | + |
| 85 | + |
| 86 | +def test_populate_graph(): |
| 87 | + row = pd.DataFrame(list_data1).loc[0] |
| 88 | + |
| 89 | + nodes = {'datetime': {}, 'coords': {}, 'freq_source': {}, 'freq_target': {}} |
| 90 | + edges = {} |
| 91 | + |
| 92 | + expected_nodes = { |
| 93 | + 'datetime': {'85': ['2017-09-02 22:00:27'], '673': ['2017-09-02 22:01:36'], |
| 94 | + '394': ['2017-09-02 22:03:08'], '263': ['2017-09-02 22:03:46'], |
| 95 | + '224': ['2017-09-02 22:07:19'], '623': ['2017-09-02 22:07:40']}, |
| 96 | + 'coords': {'85': (-3.8347478, -38.592189), '673': (-3.8235834, -38.590389), |
| 97 | + '394': (-3.813889, -38.5904445), '263': (-3.9067654, -38.5907723), |
| 98 | + '224': (-3.8857223, -38.5928892), '623': (-3.8828723, -38.5929789)}, |
| 99 | + 'freq_source': {'85': 1, '673': 0, '394': 0, '263': 0, '224': 0, '623': 0}, |
| 100 | + 'freq_target': {'85': 0, '673': 0, '394': 0, '263': 0, '224': 0, '623': 1}} |
| 101 | + |
| 102 | + expected_edges = { |
| 103 | + '85': {'673': {'weight': 1, 'mean_times': '0 days 00:01:09'}}, |
| 104 | + '673': {'394': {'weight': 1, 'mean_times': '0 days 00:01:32'}}, |
| 105 | + '394': {'263': {'weight': 1, 'mean_times': '0 days 00:00:38'}}, |
| 106 | + '263': {'224': {'weight': 1, 'mean_times': '0 days 00:03:33'}}, |
| 107 | + '224': {'623': {'weight': 1, 'mean_times': '0 days 00:00:21'}}} |
| 108 | + |
| 109 | + _populate_graph(row, nodes, edges) |
| 110 | + nodes, edges |
| 111 | + |
| 112 | + assert_equal(expected_nodes, nodes) |
| 113 | + assert_equal(expected_edges, edges) |
| 114 | + |
| 115 | + |
| 116 | +def test_build_transition_graph_from_dict(): |
| 117 | + expected_graph = _transition_graph() |
| 118 | + |
| 119 | + graph = build_transition_graph_from_dict(dict_graph) |
| 120 | + |
| 121 | + assert_graphs_equal(expected_graph, graph) |
| 122 | + |
| 123 | + |
| 124 | +def test_build_transition_graph_from_df(): |
| 125 | + expected_graph = _transition_graph() |
| 126 | + |
| 127 | + traj_df = pd.DataFrame(list_data1) |
| 128 | + |
| 129 | + graph = build_transition_graph_from_df(traj_df) |
| 130 | + |
| 131 | + assert_graphs_equal(expected_graph, graph) |
| 132 | + |
| 133 | + |
| 134 | +def test_graph_to_dict(): |
| 135 | + graph = _transition_graph() |
| 136 | + |
| 137 | + expected_dict = { |
| 138 | + 'nodes': { |
| 139 | + 'coords': { '85': (-3.8347478, -38.592189), '673': (-3.8235834, -38.590389), |
| 140 | + '394': (-3.813889, -38.5904445), '263': (-3.9067654, -38.5907723), |
| 141 | + '224': (-3.8857223, -38.5928892), '623': (-3.8828723, -38.5929789)}, |
| 142 | + 'datetime': { '85': ['2017-09-02 22:00:27'], '673': ['2017-09-02 22:01:36'], |
| 143 | + '394': ['2017-09-02 22:03:08'], '263': ['2017-09-02 22:03:46'], |
| 144 | + '224': ['2017-09-02 22:07:19'], '623': ['2017-09-02 22:07:40']}, |
| 145 | + 'freq_source': {'85': 1, '673': 0, '394': 0, '263': 0, '224': 0, '623': 0}, |
| 146 | + 'freq_target': {'85': 0, '673': 0, '394': 0, '263': 0, '224': 0, '623': 1}}, |
| 147 | + 'edges': { |
| 148 | + '85': {'673': {'weight': 1, 'mean_times': '0 days 00:01:09'}}, |
| 149 | + '673': {'394': {'weight': 1, 'mean_times': '0 days 00:01:32'}}, |
| 150 | + '394': {'263': {'weight': 1, 'mean_times': '0 days 00:00:38'}}, |
| 151 | + '263': {'224': {'weight': 1, 'mean_times': '0 days 00:03:33'}}, |
| 152 | + '224': {'623': {'weight': 1, 'mean_times': '0 days 00:00:21'}}, |
| 153 | + '623': {}}} |
| 154 | + |
| 155 | + dict_graph = graph_to_dict(graph) |
| 156 | + |
| 157 | + assert_equal(expected_dict, dict_graph) |
| 158 | + |
| 159 | + |
| 160 | +def test_save_graph_as_json(tmpdir): |
| 161 | + |
| 162 | + expected = { |
| 163 | + 'nodes': { |
| 164 | + 'coords': { '85': (-3.8347478, -38.592189), '673': (-3.8235834, -38.590389), |
| 165 | + '394': (-3.813889, -38.5904445), '263': (-3.9067654, -38.5907723), |
| 166 | + '224': (-3.8857223, -38.5928892), '623': (-3.8828723, -38.5929789)}, |
| 167 | + 'datetime': { '85': ['2017-09-02 22:00:27'], '673': ['2017-09-02 22:01:36'], |
| 168 | + '394': ['2017-09-02 22:03:08'], '263': ['2017-09-02 22:03:46'], |
| 169 | + '224': ['2017-09-02 22:07:19'], '623': ['2017-09-02 22:07:40']}, |
| 170 | + 'freq_source': {'85': 1, '673': 0, '394': 0, '263': 0, '224': 0, '623': 0}, |
| 171 | + 'freq_target': {'85': 0, '673': 0, '394': 0, '263': 0, '224': 0, '623': 1}}, |
| 172 | + 'edges': { |
| 173 | + '85': {'673': {'weight': 1, 'mean_times': '0 days 00:01:09'}}, |
| 174 | + '673': {'394': {'weight': 1, 'mean_times': '0 days 00:01:32'}}, |
| 175 | + '394': {'263': {'weight': 1, 'mean_times': '0 days 00:00:38'}}, |
| 176 | + '263': {'224': {'weight': 1, 'mean_times': '0 days 00:03:33'}}, |
| 177 | + '224': {'623': {'weight': 1, 'mean_times': '0 days 00:00:21'}}, |
| 178 | + '623': {}}} |
| 179 | + |
| 180 | + d = tmpdir.mkdir('utils') |
| 181 | + |
| 182 | + file_write_default = d.join('test_save_graph.json') |
| 183 | + filename_write_default = os.path.join( |
| 184 | + file_write_default.dirname, file_write_default.basename |
| 185 | + ) |
| 186 | + |
| 187 | + graph = _transition_graph() |
| 188 | + save_graph_as_json(graph, filename_write_default) |
| 189 | + saved_graph = read_graph_json(filename_write_default) |
| 190 | + |
| 191 | + assert_equal(saved_graph, expected) |
| 192 | + |
| 193 | + |
| 194 | +def test_read_graph_json(tmpdir): |
| 195 | + |
| 196 | + expected = { |
| 197 | + 'nodes': { |
| 198 | + 'coords': { '85': (-3.8347478, -38.592189), '673': (-3.8235834, -38.590389), |
| 199 | + '394': (-3.813889, -38.5904445), '263': (-3.9067654, -38.5907723), |
| 200 | + '224': (-3.8857223, -38.5928892), '623': (-3.8828723, -38.5929789)}, |
| 201 | + 'datetime': { '85': ['2017-09-02 22:00:27'], '673': ['2017-09-02 22:01:36'], |
| 202 | + '394': ['2017-09-02 22:03:08'], '263': ['2017-09-02 22:03:46'], |
| 203 | + '224': ['2017-09-02 22:07:19'], '623': ['2017-09-02 22:07:40']}, |
| 204 | + 'freq_source': {'85': 1, '673': 0, '394': 0, '263': 0, '224': 0, '623': 0}, |
| 205 | + 'freq_target': {'85': 0, '673': 0, '394': 0, '263': 0, '224': 0, '623': 1}}, |
| 206 | + 'edges': { |
| 207 | + '85': {'673': {'weight': 1, 'mean_times': '0 days 00:01:09'}}, |
| 208 | + '673': {'394': {'weight': 1, 'mean_times': '0 days 00:01:32'}}, |
| 209 | + '394': {'263': {'weight': 1, 'mean_times': '0 days 00:00:38'}}, |
| 210 | + '263': {'224': {'weight': 1, 'mean_times': '0 days 00:03:33'}}, |
| 211 | + '224': {'623': {'weight': 1, 'mean_times': '0 days 00:00:21'}}, |
| 212 | + '623': {}}} |
| 213 | + |
| 214 | + d = tmpdir.mkdir('utils') |
| 215 | + |
| 216 | + file_write_default = d.join('test_read_graph.json') |
| 217 | + filename_write_default = os.path.join( |
| 218 | + file_write_default.dirname, file_write_default.basename |
| 219 | + ) |
| 220 | + |
| 221 | + graph = _transition_graph() |
| 222 | + |
| 223 | + with open(filename_write_default, 'w') as f: |
| 224 | + json.dump(dict_graph, f) |
| 225 | + |
| 226 | + saved_graph = read_graph_json(filename_write_default) |
| 227 | + |
| 228 | + assert_equal(saved_graph, expected) |
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