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@@ -1,505 +1,517 b'' | |||
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1 | 1 | """AsyncResult objects for the client |
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2 | 2 | |
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3 | 3 | Authors: |
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4 | 4 | |
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5 | 5 | * MinRK |
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6 | 6 | """ |
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7 | 7 | #----------------------------------------------------------------------------- |
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8 | 8 | # Copyright (C) 2010-2011 The IPython Development Team |
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9 | 9 | # |
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10 | 10 | # Distributed under the terms of the BSD License. The full license is in |
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11 | 11 | # the file COPYING, distributed as part of this software. |
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12 | 12 | #----------------------------------------------------------------------------- |
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13 | 13 | |
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14 | 14 | #----------------------------------------------------------------------------- |
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15 | 15 | # Imports |
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16 | 16 | #----------------------------------------------------------------------------- |
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17 | 17 | |
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18 | 18 | import sys |
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19 | 19 | import time |
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20 | 20 | from datetime import datetime |
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21 | 21 | |
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22 | 22 | from zmq import MessageTracker |
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23 | 23 | |
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24 | 24 | from IPython.core.display import clear_output |
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25 | 25 | from IPython.external.decorator import decorator |
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26 | 26 | from IPython.parallel import error |
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27 | 27 | |
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28 | #----------------------------------------------------------------------------- | |
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29 | # Functions | |
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30 | #----------------------------------------------------------------------------- | |
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31 | ||
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32 | def _total_seconds(td): | |
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33 | """timedelta.total_seconds was added in 2.7""" | |
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34 | try: | |
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35 | # Python >= 2.7 | |
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36 | return td.total_seconds() | |
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37 | except AttributeError: | |
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38 | # Python 2.6 | |
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39 | return 1e-6 * (td.microseconds + (td.seconds + td.days * 24 * 3600) * 10**6) | |
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28 | 40 | |
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29 | 41 | #----------------------------------------------------------------------------- |
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30 | 42 | # Classes |
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31 | 43 | #----------------------------------------------------------------------------- |
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32 | 44 | |
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33 | 45 | # global empty tracker that's always done: |
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34 | 46 | finished_tracker = MessageTracker() |
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35 | 47 | |
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36 | 48 | @decorator |
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37 | 49 | def check_ready(f, self, *args, **kwargs): |
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38 | 50 | """Call spin() to sync state prior to calling the method.""" |
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39 | 51 | self.wait(0) |
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40 | 52 | if not self._ready: |
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41 | 53 | raise error.TimeoutError("result not ready") |
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42 | 54 | return f(self, *args, **kwargs) |
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43 | 55 | |
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44 | 56 | class AsyncResult(object): |
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45 | 57 | """Class for representing results of non-blocking calls. |
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46 | 58 | |
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47 | 59 | Provides the same interface as :py:class:`multiprocessing.pool.AsyncResult`. |
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48 | 60 | """ |
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49 | 61 | |
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50 | 62 | msg_ids = None |
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51 | 63 | _targets = None |
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52 | 64 | _tracker = None |
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53 | 65 | _single_result = False |
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54 | 66 | |
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55 | 67 | def __init__(self, client, msg_ids, fname='unknown', targets=None, tracker=None): |
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56 | 68 | if isinstance(msg_ids, basestring): |
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57 | 69 | # always a list |
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58 | 70 | msg_ids = [msg_ids] |
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59 | 71 | if tracker is None: |
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60 | 72 | # default to always done |
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61 | 73 | tracker = finished_tracker |
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62 | 74 | self._client = client |
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63 | 75 | self.msg_ids = msg_ids |
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64 | 76 | self._fname=fname |
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65 | 77 | self._targets = targets |
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66 | 78 | self._tracker = tracker |
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67 | 79 | self._ready = False |
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68 | 80 | self._success = None |
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69 | 81 | self._metadata = None |
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70 | 82 | if len(msg_ids) == 1: |
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71 | 83 | self._single_result = not isinstance(targets, (list, tuple)) |
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72 | 84 | else: |
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73 | 85 | self._single_result = False |
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74 | 86 | |
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75 | 87 | def __repr__(self): |
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76 | 88 | if self._ready: |
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77 | 89 | return "<%s: finished>"%(self.__class__.__name__) |
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78 | 90 | else: |
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79 | 91 | return "<%s: %s>"%(self.__class__.__name__,self._fname) |
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80 | 92 | |
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81 | 93 | |
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82 | 94 | def _reconstruct_result(self, res): |
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83 | 95 | """Reconstruct our result from actual result list (always a list) |
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84 | 96 | |
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85 | 97 | Override me in subclasses for turning a list of results |
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86 | 98 | into the expected form. |
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87 | 99 | """ |
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88 | 100 | if self._single_result: |
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89 | 101 | return res[0] |
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90 | 102 | else: |
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91 | 103 | return res |
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92 | 104 | |
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93 | 105 | def get(self, timeout=-1): |
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94 | 106 | """Return the result when it arrives. |
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95 | 107 | |
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96 | 108 | If `timeout` is not ``None`` and the result does not arrive within |
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97 | 109 | `timeout` seconds then ``TimeoutError`` is raised. If the |
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98 | 110 | remote call raised an exception then that exception will be reraised |
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99 | 111 | by get() inside a `RemoteError`. |
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100 | 112 | """ |
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101 | 113 | if not self.ready(): |
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102 | 114 | self.wait(timeout) |
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103 | 115 | |
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104 | 116 | if self._ready: |
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105 | 117 | if self._success: |
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106 | 118 | return self._result |
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107 | 119 | else: |
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108 | 120 | raise self._exception |
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109 | 121 | else: |
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110 | 122 | raise error.TimeoutError("Result not ready.") |
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111 | 123 | |
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112 | 124 | def ready(self): |
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113 | 125 | """Return whether the call has completed.""" |
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114 | 126 | if not self._ready: |
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115 | 127 | self.wait(0) |
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116 | 128 | return self._ready |
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117 | 129 | |
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118 | 130 | def wait(self, timeout=-1): |
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119 | 131 | """Wait until the result is available or until `timeout` seconds pass. |
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120 | 132 | |
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121 | 133 | This method always returns None. |
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122 | 134 | """ |
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123 | 135 | if self._ready: |
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124 | 136 | return |
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125 | 137 | self._ready = self._client.wait(self.msg_ids, timeout) |
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126 | 138 | if self._ready: |
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127 | 139 | try: |
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128 | 140 | results = map(self._client.results.get, self.msg_ids) |
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129 | 141 | self._result = results |
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130 | 142 | if self._single_result: |
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131 | 143 | r = results[0] |
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132 | 144 | if isinstance(r, Exception): |
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133 | 145 | raise r |
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134 | 146 | else: |
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135 | 147 | results = error.collect_exceptions(results, self._fname) |
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136 | 148 | self._result = self._reconstruct_result(results) |
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137 | 149 | except Exception, e: |
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138 | 150 | self._exception = e |
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139 | 151 | self._success = False |
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140 | 152 | else: |
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141 | 153 | self._success = True |
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142 | 154 | finally: |
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143 | 155 | self._metadata = map(self._client.metadata.get, self.msg_ids) |
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144 | 156 | |
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145 | 157 | |
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146 | 158 | def successful(self): |
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147 | 159 | """Return whether the call completed without raising an exception. |
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148 | 160 | |
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149 | 161 | Will raise ``AssertionError`` if the result is not ready. |
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150 | 162 | """ |
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151 | 163 | assert self.ready() |
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152 | 164 | return self._success |
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153 | 165 | |
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154 | 166 | #---------------------------------------------------------------- |
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155 | 167 | # Extra methods not in mp.pool.AsyncResult |
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156 | 168 | #---------------------------------------------------------------- |
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157 | 169 | |
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158 | 170 | def get_dict(self, timeout=-1): |
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159 | 171 | """Get the results as a dict, keyed by engine_id. |
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160 | 172 | |
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161 | 173 | timeout behavior is described in `get()`. |
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162 | 174 | """ |
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163 | 175 | |
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164 | 176 | results = self.get(timeout) |
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165 | 177 | engine_ids = [ md['engine_id'] for md in self._metadata ] |
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166 | 178 | bycount = sorted(engine_ids, key=lambda k: engine_ids.count(k)) |
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167 | 179 | maxcount = bycount.count(bycount[-1]) |
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168 | 180 | if maxcount > 1: |
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169 | 181 | raise ValueError("Cannot build dict, %i jobs ran on engine #%i"%( |
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170 | 182 | maxcount, bycount[-1])) |
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171 | 183 | |
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172 | 184 | return dict(zip(engine_ids,results)) |
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173 | 185 | |
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174 | 186 | @property |
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175 | 187 | def result(self): |
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176 | 188 | """result property wrapper for `get(timeout=0)`.""" |
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177 | 189 | return self.get() |
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178 | 190 | |
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179 | 191 | # abbreviated alias: |
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180 | 192 | r = result |
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181 | 193 | |
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182 | 194 | @property |
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183 | 195 | @check_ready |
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184 | 196 | def metadata(self): |
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185 | 197 | """property for accessing execution metadata.""" |
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186 | 198 | if self._single_result: |
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187 | 199 | return self._metadata[0] |
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188 | 200 | else: |
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189 | 201 | return self._metadata |
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190 | 202 | |
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191 | 203 | @property |
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192 | 204 | def result_dict(self): |
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193 | 205 | """result property as a dict.""" |
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194 | 206 | return self.get_dict() |
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195 | 207 | |
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196 | 208 | def __dict__(self): |
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197 | 209 | return self.get_dict(0) |
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198 | 210 | |
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199 | 211 | def abort(self): |
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200 | 212 | """abort my tasks.""" |
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201 | 213 | assert not self.ready(), "Can't abort, I am already done!" |
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202 | 214 | return self._client.abort(self.msg_ids, targets=self._targets, block=True) |
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203 | 215 | |
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204 | 216 | @property |
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205 | 217 | def sent(self): |
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206 | 218 | """check whether my messages have been sent.""" |
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207 | 219 | return self._tracker.done |
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208 | 220 | |
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209 | 221 | def wait_for_send(self, timeout=-1): |
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210 | 222 | """wait for pyzmq send to complete. |
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211 | 223 | |
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212 | 224 | This is necessary when sending arrays that you intend to edit in-place. |
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213 | 225 | `timeout` is in seconds, and will raise TimeoutError if it is reached |
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214 | 226 | before the send completes. |
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215 | 227 | """ |
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216 | 228 | return self._tracker.wait(timeout) |
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217 | 229 | |
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218 | 230 | #------------------------------------- |
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219 | 231 | # dict-access |
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220 | 232 | #------------------------------------- |
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221 | 233 | |
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222 | 234 | @check_ready |
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223 | 235 | def __getitem__(self, key): |
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224 | 236 | """getitem returns result value(s) if keyed by int/slice, or metadata if key is str. |
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225 | 237 | """ |
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226 | 238 | if isinstance(key, int): |
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227 | 239 | return error.collect_exceptions([self._result[key]], self._fname)[0] |
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228 | 240 | elif isinstance(key, slice): |
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229 | 241 | return error.collect_exceptions(self._result[key], self._fname) |
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230 | 242 | elif isinstance(key, basestring): |
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231 | 243 | values = [ md[key] for md in self._metadata ] |
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232 | 244 | if self._single_result: |
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233 | 245 | return values[0] |
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234 | 246 | else: |
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235 | 247 | return values |
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236 | 248 | else: |
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237 | 249 | raise TypeError("Invalid key type %r, must be 'int','slice', or 'str'"%type(key)) |
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238 | 250 | |
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239 | 251 | def __getattr__(self, key): |
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240 | 252 | """getattr maps to getitem for convenient attr access to metadata.""" |
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241 | 253 | try: |
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242 | 254 | return self.__getitem__(key) |
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243 | 255 | except (error.TimeoutError, KeyError): |
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244 | 256 | raise AttributeError("%r object has no attribute %r"%( |
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245 | 257 | self.__class__.__name__, key)) |
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246 | 258 | |
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247 | 259 | # asynchronous iterator: |
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248 | 260 | def __iter__(self): |
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249 | 261 | if self._single_result: |
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250 | 262 | raise TypeError("AsyncResults with a single result are not iterable.") |
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251 | 263 | try: |
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252 | 264 | rlist = self.get(0) |
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253 | 265 | except error.TimeoutError: |
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254 | 266 | # wait for each result individually |
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255 | 267 | for msg_id in self.msg_ids: |
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256 | 268 | ar = AsyncResult(self._client, msg_id, self._fname) |
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257 | 269 | yield ar.get() |
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258 | 270 | else: |
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259 | 271 | # already done |
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260 | 272 | for r in rlist: |
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261 | 273 | yield r |
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262 | 274 | |
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263 | 275 | def __len__(self): |
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264 | 276 | return len(self.msg_ids) |
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265 | 277 | |
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266 | 278 | #------------------------------------- |
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267 | 279 | # Sugar methods and attributes |
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268 | 280 | #------------------------------------- |
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269 | 281 | |
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270 | 282 | def timedelta(self, start, end, start_key=min, end_key=max): |
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271 | 283 | """compute the difference between two sets of timestamps |
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272 | 284 | |
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273 | 285 | The default behavior is to use the earliest of the first |
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274 | 286 | and the latest of the second list, but this can be changed |
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275 | 287 | by passing a different |
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276 | 288 | |
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277 | 289 | Parameters |
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278 | 290 | ---------- |
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279 | 291 | |
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280 | 292 | start : one or more datetime objects (e.g. ar.submitted) |
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281 | 293 | end : one or more datetime objects (e.g. ar.received) |
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282 | 294 | start_key : callable |
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283 | 295 | Function to call on `start` to extract the relevant |
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284 | 296 | entry [defalt: min] |
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285 | 297 | end_key : callable |
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286 | 298 | Function to call on `end` to extract the relevant |
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287 | 299 | entry [default: max] |
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288 | 300 | |
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289 | 301 | Returns |
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290 | 302 | ------- |
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291 | 303 | |
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292 | 304 | dt : float |
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293 | 305 | The time elapsed (in seconds) between the two selected timestamps. |
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294 | 306 | """ |
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295 | 307 | if not isinstance(start, datetime): |
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296 | 308 | # handle single_result AsyncResults, where ar.stamp is single object, |
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297 | 309 | # not a list |
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298 | 310 | start = start_key(start) |
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299 | 311 | if not isinstance(end, datetime): |
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300 | 312 | # handle single_result AsyncResults, where ar.stamp is single object, |
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301 | 313 | # not a list |
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302 | 314 | end = end_key(end) |
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303 |
return (end - start) |
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315 | return _total_seconds(end - start) | |
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304 | 316 | |
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305 | 317 | @property |
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306 | 318 | def progress(self): |
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307 | 319 | """the number of tasks which have been completed at this point. |
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308 | 320 | |
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309 | 321 | Fractional progress would be given by 1.0 * ar.progress / len(ar) |
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310 | 322 | """ |
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311 | 323 | self.wait(0) |
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312 | 324 | return len(self) - len(set(self.msg_ids).intersection(self._client.outstanding)) |
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313 | 325 | |
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314 | 326 | @property |
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315 | 327 | def elapsed(self): |
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316 | 328 | """elapsed time since initial submission""" |
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317 | 329 | if self.ready(): |
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318 | 330 | return self.wall_time |
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319 | 331 | |
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320 | 332 | now = submitted = datetime.now() |
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321 | 333 | for msg_id in self.msg_ids: |
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322 | 334 | if msg_id in self._client.metadata: |
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323 | 335 | stamp = self._client.metadata[msg_id]['submitted'] |
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324 | 336 | if stamp and stamp < submitted: |
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325 | 337 | submitted = stamp |
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326 |
return (now-submitted) |
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338 | return _total_seconds(now-submitted) | |
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327 | 339 | |
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328 | 340 | @property |
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329 | 341 | @check_ready |
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330 | 342 | def serial_time(self): |
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331 | 343 | """serial computation time of a parallel calculation |
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332 | 344 | |
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333 | 345 | Computed as the sum of (completed-started) of each task |
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334 | 346 | """ |
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335 | 347 | t = 0 |
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336 | 348 | for md in self._metadata: |
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337 |
t += (md['completed'] - md['started']) |
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|
349 | t += _total_seconds(md['completed'] - md['started']) | |
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338 | 350 | return t |
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339 | 351 | |
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340 | 352 | @property |
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341 | 353 | @check_ready |
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342 | 354 | def wall_time(self): |
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343 | 355 | """actual computation time of a parallel calculation |
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344 | 356 | |
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345 | 357 | Computed as the time between the latest `received` stamp |
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346 | 358 | and the earliest `submitted`. |
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347 | 359 | |
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348 | 360 | Only reliable if Client was spinning/waiting when the task finished, because |
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349 | 361 | the `received` timestamp is created when a result is pulled off of the zmq queue, |
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350 | 362 | which happens as a result of `client.spin()`. |
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351 | 363 | |
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352 | 364 | For similar comparison of other timestamp pairs, check out AsyncResult.timedelta. |
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353 | 365 | |
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354 | 366 | """ |
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355 | 367 | return self.timedelta(self.submitted, self.received) |
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356 | 368 | |
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357 | 369 | def wait_interactive(self, interval=1., timeout=None): |
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358 | 370 | """interactive wait, printing progress at regular intervals""" |
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359 | 371 | N = len(self) |
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360 | 372 | tic = time.time() |
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361 | 373 | while not self.ready() and (timeout is None or time.time() - tic <= timeout): |
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362 | 374 | self.wait(interval) |
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363 | 375 | clear_output() |
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364 | 376 | print "%4i/%i tasks finished after %4i s" % (self.progress, N, self.elapsed), |
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365 | 377 | sys.stdout.flush() |
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366 | 378 | |
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367 | 379 | print "done" |
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368 | 380 | |
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369 | 381 | |
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370 | 382 | class AsyncMapResult(AsyncResult): |
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371 | 383 | """Class for representing results of non-blocking gathers. |
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372 | 384 | |
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373 | 385 | This will properly reconstruct the gather. |
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374 | 386 | |
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375 | 387 | This class is iterable at any time, and will wait on results as they come. |
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376 | 388 | |
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377 | 389 | If ordered=False, then the first results to arrive will come first, otherwise |
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378 | 390 | results will be yielded in the order they were submitted. |
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379 | 391 | |
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380 | 392 | """ |
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381 | 393 | |
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382 | 394 | def __init__(self, client, msg_ids, mapObject, fname='', ordered=True): |
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383 | 395 | AsyncResult.__init__(self, client, msg_ids, fname=fname) |
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384 | 396 | self._mapObject = mapObject |
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385 | 397 | self._single_result = False |
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386 | 398 | self.ordered = ordered |
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387 | 399 | |
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388 | 400 | def _reconstruct_result(self, res): |
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389 | 401 | """Perform the gather on the actual results.""" |
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390 | 402 | return self._mapObject.joinPartitions(res) |
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391 | 403 | |
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392 | 404 | # asynchronous iterator: |
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393 | 405 | def __iter__(self): |
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394 | 406 | it = self._ordered_iter if self.ordered else self._unordered_iter |
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395 | 407 | for r in it(): |
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396 | 408 | yield r |
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397 | 409 | |
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398 | 410 | # asynchronous ordered iterator: |
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399 | 411 | def _ordered_iter(self): |
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400 | 412 | """iterator for results *as they arrive*, preserving submission order.""" |
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401 | 413 | try: |
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402 | 414 | rlist = self.get(0) |
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403 | 415 | except error.TimeoutError: |
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404 | 416 | # wait for each result individually |
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405 | 417 | for msg_id in self.msg_ids: |
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406 | 418 | ar = AsyncResult(self._client, msg_id, self._fname) |
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407 | 419 | rlist = ar.get() |
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408 | 420 | try: |
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409 | 421 | for r in rlist: |
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410 | 422 | yield r |
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411 | 423 | except TypeError: |
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412 | 424 | # flattened, not a list |
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413 | 425 | # this could get broken by flattened data that returns iterables |
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414 | 426 | # but most calls to map do not expose the `flatten` argument |
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415 | 427 | yield rlist |
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416 | 428 | else: |
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417 | 429 | # already done |
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418 | 430 | for r in rlist: |
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419 | 431 | yield r |
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420 | 432 | |
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421 | 433 | # asynchronous unordered iterator: |
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422 | 434 | def _unordered_iter(self): |
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423 | 435 | """iterator for results *as they arrive*, on FCFS basis, ignoring submission order.""" |
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424 | 436 | try: |
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425 | 437 | rlist = self.get(0) |
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426 | 438 | except error.TimeoutError: |
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427 | 439 | pending = set(self.msg_ids) |
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428 | 440 | while pending: |
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429 | 441 | try: |
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430 | 442 | self._client.wait(pending, 1e-3) |
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431 | 443 | except error.TimeoutError: |
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432 | 444 | # ignore timeout error, because that only means |
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433 | 445 | # *some* jobs are outstanding |
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434 | 446 | pass |
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435 | 447 | # update ready set with those no longer outstanding: |
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436 | 448 | ready = pending.difference(self._client.outstanding) |
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437 | 449 | # update pending to exclude those that are finished |
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438 | 450 | pending = pending.difference(ready) |
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439 | 451 | while ready: |
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440 | 452 | msg_id = ready.pop() |
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441 | 453 | ar = AsyncResult(self._client, msg_id, self._fname) |
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442 | 454 | rlist = ar.get() |
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443 | 455 | try: |
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444 | 456 | for r in rlist: |
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445 | 457 | yield r |
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446 | 458 | except TypeError: |
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447 | 459 | # flattened, not a list |
|
448 | 460 | # this could get broken by flattened data that returns iterables |
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449 | 461 | # but most calls to map do not expose the `flatten` argument |
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450 | 462 | yield rlist |
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451 | 463 | else: |
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452 | 464 | # already done |
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453 | 465 | for r in rlist: |
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454 | 466 | yield r |
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455 | 467 | |
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456 | 468 | |
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457 | 469 | |
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458 | 470 | class AsyncHubResult(AsyncResult): |
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459 | 471 | """Class to wrap pending results that must be requested from the Hub. |
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460 | 472 | |
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461 | 473 | Note that waiting/polling on these objects requires polling the Hubover the network, |
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462 | 474 | so use `AsyncHubResult.wait()` sparingly. |
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463 | 475 | """ |
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464 | 476 | |
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465 | 477 | def wait(self, timeout=-1): |
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466 | 478 | """wait for result to complete.""" |
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467 | 479 | start = time.time() |
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468 | 480 | if self._ready: |
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469 | 481 | return |
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470 | 482 | local_ids = filter(lambda msg_id: msg_id in self._client.outstanding, self.msg_ids) |
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471 | 483 | local_ready = self._client.wait(local_ids, timeout) |
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472 | 484 | if local_ready: |
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473 | 485 | remote_ids = filter(lambda msg_id: msg_id not in self._client.results, self.msg_ids) |
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474 | 486 | if not remote_ids: |
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475 | 487 | self._ready = True |
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476 | 488 | else: |
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477 | 489 | rdict = self._client.result_status(remote_ids, status_only=False) |
|
478 | 490 | pending = rdict['pending'] |
|
479 | 491 | while pending and (timeout < 0 or time.time() < start+timeout): |
|
480 | 492 | rdict = self._client.result_status(remote_ids, status_only=False) |
|
481 | 493 | pending = rdict['pending'] |
|
482 | 494 | if pending: |
|
483 | 495 | time.sleep(0.1) |
|
484 | 496 | if not pending: |
|
485 | 497 | self._ready = True |
|
486 | 498 | if self._ready: |
|
487 | 499 | try: |
|
488 | 500 | results = map(self._client.results.get, self.msg_ids) |
|
489 | 501 | self._result = results |
|
490 | 502 | if self._single_result: |
|
491 | 503 | r = results[0] |
|
492 | 504 | if isinstance(r, Exception): |
|
493 | 505 | raise r |
|
494 | 506 | else: |
|
495 | 507 | results = error.collect_exceptions(results, self._fname) |
|
496 | 508 | self._result = self._reconstruct_result(results) |
|
497 | 509 | except Exception, e: |
|
498 | 510 | self._exception = e |
|
499 | 511 | self._success = False |
|
500 | 512 | else: |
|
501 | 513 | self._success = True |
|
502 | 514 | finally: |
|
503 | 515 | self._metadata = map(self._client.metadata.get, self.msg_ids) |
|
504 | 516 | |
|
505 | 517 | __all__ = ['AsyncResult', 'AsyncMapResult', 'AsyncHubResult'] No newline at end of file |
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