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annotate mercurial/progress.py @ 45892:06b64fabf91c

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copies: cache the ancestor checking call when tracing copy A good share of the time spent in this function is spent doing ancestors checking. To avoid spending time in duplicated call, we cache the result of calls. In the slower case, this provide a quite significant performance boost. Below are the result for a set of selected pairs (many of them pathological): (And further down is another table that summarize the current state of filelog based vs changeset base copy tracing) The benchmark have been configured to be killed after 6 minutes of runtime, which mean that any detect slower than 2 minutes will be marked as "killed". This drop some useful information about how much slower these case are? but also prevent 99% of the benchmark time to be spent on case that can be labelled "very slow" anyway. Repo Case Source-Rev Dest-Rev Old-Time New-Time Difference Factor ------------------------------------------------------------------------------------------------------------------------------------ mercurial x_revs_x_added_0_copies ad6b123de1c7 39cfcef4f463 : 0.000044 s, 0.000044 s, +0.000000 s, ? 1.0000 mercurial x_revs_x_added_x_copies 2b1c78674230 0c1d10351869 : 0.000138 s, 0.000138 s, +0.000000 s, ? 1.0000 mercurial x000_revs_x000_added_x_copies 81f8ff2a9bf2 dd3267698d84 : 0.005067 s, 0.005052 s, -0.000015 s, ? 0.9970 pypy x_revs_x_added_0_copies aed021ee8ae8 099ed31b181b : 0.000218 s, 0.000219 s, +0.000001 s, ? 1.0046 pypy x_revs_x000_added_0_copies 4aa4e1f8e19a 359343b9ac0e : 0.000053 s, 0.000055 s, +0.000002 s, ? 1.0377 pypy x_revs_x_added_x_copies ac52eb7bbbb0 72e022663155 : 0.000125 s, 0.000128 s, +0.000003 s, ? 1.0240 pypy x_revs_x00_added_x_copies c3b14617fbd7 ace7255d9a26 : 0.001098 s, 0.001089 s, -0.000009 s, ? 0.9918 pypy x_revs_x000_added_x000_copies df6f7a526b60 a83dc6a2d56f : 0.017546 s, 0.017407 s, -0.000139 s, ? 0.9921 pypy x000_revs_xx00_added_0_copies 89a76aede314 2f22446ff07e : 0.096723 s, 0.094175 s, -0.002548 s, ? 0.9737 pypy x000_revs_x000_added_x_copies 8a3b5bfd266e 2c68e87c3efe : 0.271796 s, 0.238009 s, -0.033787 s, ? 0.8757 pypy x000_revs_x000_added_x000_copies 89a76aede314 7b3dda341c84 : 0.128602 s, 0.125876 s, -0.002726 s, ? 0.9788 pypy x0000_revs_x_added_0_copies d1defd0dc478 c9cb1334cc78 : 7.086742 s, 3.581556 s, -3.505186 s, ? 0.5054 pypy x0000_revs_xx000_added_0_copies bf2c629d0071 4ffed77c095c : 0.016634 s, 0.016721 s, +0.000087 s, ? 1.0052 pypy x0000_revs_xx000_added_x000_copies 08ea3258278e d9fa043f30c0 : 0.254225 s, 0.242367 s, -0.011858 s, ? 0.9534 netbeans x_revs_x_added_0_copies fb0955ffcbcd a01e9239f9e7 : 0.000166 s, 0.000165 s, -0.000001 s, ? 0.9940 netbeans x_revs_x000_added_0_copies 6f360122949f 20eb231cc7d0 : 0.000118 s, 0.000114 s, -0.000004 s, ? 0.9661 netbeans x_revs_x_added_x_copies 1ada3faf6fb6 5a39d12eecf4 : 0.000296 s, 0.000296 s, +0.000000 s, ? 1.0000 netbeans x_revs_x00_added_x_copies 35be93ba1e2c 9eec5e90c05f : 0.001137 s, 0.001124 s, -0.000013 s, ? 0.9886 netbeans x000_revs_xx00_added_0_copies eac3045b4fdd 51d4ae7f1290 : 0.014133 s, 0.013060 s, -0.001073 s, ? 0.9241 netbeans x000_revs_x000_added_x_copies e2063d266acd 6081d72689dc : 0.016988 s, 0.017112 s, +0.000124 s, ? 1.0073 netbeans x000_revs_x000_added_x000_copies ff453e9fee32 411350406ec2 : 0.676361 s, 0.660350 s, -0.016011 s, ? 0.9763 netbeans x0000_revs_xx000_added_x000_copies 588c2d1ced70 1aad62e59ddd : 12.515149 s, 10.032499 s, -2.482650 s, ? 0.8016 mozilla-central x_revs_x_added_0_copies 3697f962bb7b 7015fcdd43a2 : 0.000186 s, 0.000189 s, +0.000003 s, ? 1.0161 mozilla-central x_revs_x000_added_0_copies dd390860c6c9 40d0c5bed75d : 0.000459 s, 0.000462 s, +0.000003 s, ? 1.0065 mozilla-central x_revs_x_added_x_copies 8d198483ae3b 14207ffc2b2f : 0.000273 s, 0.000270 s, -0.000003 s, ? 0.9890 mozilla-central x_revs_x00_added_x_copies 98cbc58cc6bc 446a150332c3 : 0.001503 s, 0.001474 s, -0.000029 s, ? 0.9807 mozilla-central x_revs_x000_added_x000_copies 3c684b4b8f68 0a5e72d1b479 : 0.004862 s, 0.004806 s, -0.000056 s, ? 0.9885 mozilla-central x_revs_x0000_added_x0000_copies effb563bb7e5 c07a39dc4e80 : 0.088291 s, 0.085150 s, -0.003141 s, ? 0.9644 mozilla-central x000_revs_xx00_added_0_copies 6100d773079a 04a55431795e : 0.007113 s, 0.007064 s, -0.000049 s, ? 0.9931 mozilla-central x000_revs_x000_added_x_copies 9f17a6fc04f9 2d37b966abed : 0.004687 s, 0.004741 s, +0.000054 s, ? 1.0115 mozilla-central x000_revs_x000_added_x000_copies 7c97034feb78 4407bd0c6330 : 0.198710 s, 0.190133 s, -0.008577 s, ? 0.9568 mozilla-central x0000_revs_xx000_added_0_copies 9eec5917337d 67118cc6dcad : 0.036068 s, 0.035651 s, -0.000417 s, ? 0.9884 mozilla-central x0000_revs_xx000_added_x000_copies f78c615a656c 96a38b690156 : 0.465362 s, 0.440694 s, -0.024668 s, ? 0.9470 mozilla-central x00000_revs_x0000_added_x0000_copies 6832ae71433c 4c222a1d9a00 : 24.519684 s, 18.454163 s, -6.065521 s, ? 0.7526 mozilla-central x00000_revs_x00000_added_x000_copies 76caed42cf7c 1daa622bbe42 : 42.711897 s, 31.562719 s, -11.149178 s, ? 0.7390 mozilla-try x_revs_x_added_0_copies aaf6dde0deb8 9790f499805a : 0.001201 s, 0.001189 s, -0.000012 s, ? 0.9900 mozilla-try x_revs_x000_added_0_copies d8d0222927b4 5bb8ce8c7450 : 0.001216 s, 0.001204 s, -0.000012 s, ? 0.9901 mozilla-try x_revs_x_added_x_copies 092fcca11bdb 936255a0384a : 0.000595 s, 0.000586 s, -0.000009 s, ? 0.9849 mozilla-try x_revs_x00_added_x_copies b53d2fadbdb5 017afae788ec : 0.001856 s, 0.001845 s, -0.000011 s, ? 0.9941 mozilla-try x_revs_x000_added_x000_copies 20408ad61ce5 6f0ee96e21ad : 0.064936 s, 0.063822 s, -0.001114 s, ? 0.9828 mozilla-try x_revs_x0000_added_x0000_copies effb563bb7e5 c07a39dc4e80 : 0.090601 s, 0.088038 s, -0.002563 s, ? 0.9717 mozilla-try x000_revs_xx00_added_0_copies 6100d773079a 04a55431795e : 0.007510 s, 0.007389 s, -0.000121 s, ? 0.9839 mozilla-try x000_revs_x000_added_x_copies 9f17a6fc04f9 2d37b966abed : 0.004911 s, 0.004868 s, -0.000043 s, ? 0.9912 mozilla-try x000_revs_x000_added_x000_copies 1346fd0130e4 4c65cbdabc1f : 0.233231 s, 0.222450 s, -0.010781 s, ? 0.9538 mozilla-try x0000_revs_x_added_0_copies 63519bfd42ee a36a2a865d92 : 0.419989 s, 0.370675 s, -0.049314 s, ? 0.8826 mozilla-try x0000_revs_x_added_x_copies 9fe69ff0762d bcabf2a78927 : 0.401521 s, 0.358020 s, -0.043501 s, ? 0.8917 mozilla-try x0000_revs_xx000_added_x_copies 156f6e2674f2 4d0f2c178e66 : 0.179555 s, 0.145235 s, -0.034320 s, ? 0.8089 mozilla-try x0000_revs_xx000_added_0_copies 9eec5917337d 67118cc6dcad : 0.038004 s, 0.037606 s, -0.000398 s, ? 0.9895 mozilla-try x0000_revs_xx000_added_x000_copies 89294cd501d9 7ccb2fc7ccb5 : 52.838482 s, 7.382439 s, -45.456043 s, ? 0.1397 mozilla-try x0000_revs_x0000_added_x0000_copies e928c65095ed e951f4ad123a : 8.705874 s, 7.273506 s, -1.432368 s, ? 0.8355 mozilla-try x00000_revs_x00000_added_0_copies dc8a3ca7010e d16fde900c9c : 1.126708 s, 1.074593 s, -0.052115 s, ? 0.9537 mozilla-try x00000_revs_x0000_added_x0000_copies 8d3fafa80d4b eb884023b810 : 83.854020 s, 27.746195 s, -56.107825 s, ? 0.3309 Below is a table comparing the runtime of the current "filelog centric" algorithm, with the "changeset centric" one, we just modified. The changeset centric algorithm is a significant win in many scenario, but they are still various cases where it is quite slower. When many revision has to be considered the cost of retrieving the copy information, creating new dictionaries, merging dictionaries and checking if revision are ancestors of each other can slow things down. The rest of this series, will introduce a rust version of the copy tracing code to deal with most of theses issues. Repo Case Source-Rev Dest-Rev filelog sidedata Difference Factor --------------------------------------------------------------------------------------------------------------------------------------- mercurial x_revs_x_added_0_copies ad6b123de1c7 39cfcef4f463 : 0.000914 s, 0.000044 s, - 0.000870 s, ? 0.048140 mercurial x_revs_x_added_x_copies 2b1c78674230 0c1d10351869 : 0.001812 s, 0.000138 s, - 0.001674 s, ? 0.076159 mercurial x000_revs_x000_added_x_copies 81f8ff2a9bf2 dd3267698d84 : 0.017954 s, 0.005052 s, - 0.012902 s, ? 0.281386 pypy x_revs_x_added_0_copies aed021ee8ae8 099ed31b181b : 0.001509 s, 0.000219 s, - 0.001290 s, ? 0.145129 pypy x_revs_x000_added_0_copies 4aa4e1f8e19a 359343b9ac0e : 0.206881 s, 0.000055 s, - 0.206826 s, ? 0.000266 pypy x_revs_x_added_x_copies ac52eb7bbbb0 72e022663155 : 0.016951 s, 0.000128 s, - 0.016823 s, ? 0.007551 pypy x_revs_x00_added_x_copies c3b14617fbd7 ace7255d9a26 : 0.019096 s, 0.001089 s, - 0.018007 s, ? 0.057028 pypy x_revs_x000_added_x000_copies df6f7a526b60 a83dc6a2d56f : 0.762506 s, 0.017407 s, - 0.745099 s, ? 0.022829 pypy x000_revs_xx00_added_0_copies 89a76aede314 2f22446ff07e : 1.179211 s, 0.094175 s, - 1.085036 s, ? 0.079863 pypy x000_revs_x000_added_x_copies 8a3b5bfd266e 2c68e87c3efe : 1.249058 s, 0.238009 s, - 1.011049 s, ? 0.190551 pypy x000_revs_x000_added_x000_copies 89a76aede314 7b3dda341c84 : 1.614107 s, 0.125876 s, - 1.488231 s, ? 0.077985 pypy x0000_revs_x_added_0_copies d1defd0dc478 c9cb1334cc78 : 0.001064 s, 3.581556 s, + 3.580492 s, ? 3366.124060 pypy x0000_revs_xx000_added_0_copies bf2c629d0071 4ffed77c095c : 1.061275 s, 0.016721 s, - 1.044554 s, ? 0.015756 pypy x0000_revs_xx000_added_x000_copies 08ea3258278e d9fa043f30c0 : 1.341119 s, 0.242367 s, - 1.098752 s, ? 0.180720 netbeans x_revs_x_added_0_copies fb0955ffcbcd a01e9239f9e7 : 0.027803 s, 0.000165 s, - 0.027638 s, ? 0.005935 netbeans x_revs_x000_added_0_copies 6f360122949f 20eb231cc7d0 : 0.130014 s, 0.000114 s, - 0.129900 s, ? 0.000877 netbeans x_revs_x_added_x_copies 1ada3faf6fb6 5a39d12eecf4 : 0.024990 s, 0.000296 s, - 0.024694 s, ? 0.011845 netbeans x_revs_x00_added_x_copies 35be93ba1e2c 9eec5e90c05f : 0.052201 s, 0.001124 s, - 0.051077 s, ? 0.021532 netbeans x000_revs_xx00_added_0_copies eac3045b4fdd 51d4ae7f1290 : 0.037642 s, 0.013060 s, - 0.024582 s, ? 0.346953 netbeans x000_revs_x000_added_x_copies e2063d266acd 6081d72689dc : 0.197086 s, 0.017112 s, - 0.179974 s, ? 0.086825 netbeans x000_revs_x000_added_x000_copies ff453e9fee32 411350406ec2 : 0.935148 s, 0.660350 s, - 0.274798 s, ? 0.706145 netbeans x0000_revs_xx000_added_x000_copies 588c2d1ced70 1aad62e59ddd : 3.920674 s, 10.032499 s, + 6.111825 s, ? 2.558871 mozilla-central x_revs_x_added_0_copies 3697f962bb7b 7015fcdd43a2 : 0.024232 s, 0.000189 s, - 0.024043 s, ? 0.007800 mozilla-central x_revs_x000_added_0_copies dd390860c6c9 40d0c5bed75d : 0.141483 s, 0.000462 s, - 0.141021 s, ? 0.003265 mozilla-central x_revs_x_added_x_copies 8d198483ae3b 14207ffc2b2f : 0.025775 s, 0.000270 s, - 0.025505 s, ? 0.010475 mozilla-central x_revs_x00_added_x_copies 98cbc58cc6bc 446a150332c3 : 0.084922 s, 0.001474 s, - 0.083448 s, ? 0.017357 mozilla-central x_revs_x000_added_x000_copies 3c684b4b8f68 0a5e72d1b479 : 0.194784 s, 0.004806 s, - 0.189978 s, ? 0.024673 mozilla-central x_revs_x0000_added_x0000_copies effb563bb7e5 c07a39dc4e80 : 2.161103 s, 0.085150 s, - 2.075953 s, ? 0.039401 mozilla-central x000_revs_xx00_added_0_copies 6100d773079a 04a55431795e : 0.089347 s, 0.007064 s, - 0.082283 s, ? 0.079063 mozilla-central x000_revs_x000_added_x_copies 9f17a6fc04f9 2d37b966abed : 0.732171 s, 0.004741 s, - 0.727430 s, ? 0.006475 mozilla-central x000_revs_x000_added_x000_copies 7c97034feb78 4407bd0c6330 : 1.157287 s, 0.190133 s, - 0.967154 s, ? 0.164292 mozilla-central x0000_revs_xx000_added_0_copies 9eec5917337d 67118cc6dcad : 6.726568 s, 0.035651 s, - 6.690917 s, ? 0.005300 mozilla-central x0000_revs_xx000_added_x000_copies f78c615a656c 96a38b690156 : 3.266229 s, 0.440694 s, - 2.825535 s, ? 0.134924 mozilla-central x00000_revs_x0000_added_x0000_copies 6832ae71433c 4c222a1d9a00 : 15.860534 s, 18.454163 s, + 2.593629 s, ? 1.163527 mozilla-central x00000_revs_x00000_added_x000_copies 76caed42cf7c 1daa622bbe42 : 20.450475 s, 31.562719 s, +11.112244 s, ? 1.543373 mozilla-try x_revs_x_added_0_copies aaf6dde0deb8 9790f499805a : 0.080442 s, 0.001189 s, - 0.079253 s, ? 0.014781 mozilla-try x_revs_x000_added_0_copies d8d0222927b4 5bb8ce8c7450 : 0.497672 s, 0.001204 s, - 0.496468 s, ? 0.002419 mozilla-try x_revs_x_added_x_copies 092fcca11bdb 936255a0384a : 0.021183 s, 0.000586 s, - 0.020597 s, ? 0.027664 mozilla-try x_revs_x00_added_x_copies b53d2fadbdb5 017afae788ec : 0.230991 s, 0.001845 s, - 0.229146 s, ? 0.007987 mozilla-try x_revs_x000_added_x000_copies 20408ad61ce5 6f0ee96e21ad : 1.118461 s, 0.063822 s, - 1.054639 s, ? 0.057062 mozilla-try x_revs_x0000_added_x0000_copies effb563bb7e5 c07a39dc4e80 : 2.206083 s, 0.088038 s, - 2.118045 s, ? 0.039907 mozilla-try x000_revs_xx00_added_0_copies 6100d773079a 04a55431795e : 0.089404 s, 0.007389 s, - 0.082015 s, ? 0.082647 mozilla-try x000_revs_x000_added_x_copies 9f17a6fc04f9 2d37b966abed : 0.733043 s, 0.004868 s, - 0.728175 s, ? 0.006641 mozilla-try x000_revs_x000_added_x000_copies 1346fd0130e4 4c65cbdabc1f : 1.163367 s, 0.222450 s, - 0.940917 s, ? 0.191212 mozilla-try x0000_revs_x_added_0_copies 63519bfd42ee a36a2a865d92 : 0.085456 s, 0.370675 s, + 0.285219 s, ? 4.337612 mozilla-try x0000_revs_x_added_x_copies 9fe69ff0762d bcabf2a78927 : 0.083601 s, 0.358020 s, + 0.274419 s, ? 4.282485 mozilla-try x0000_revs_xx000_added_x_copies 156f6e2674f2 4d0f2c178e66 : 7.366614 s, 0.145235 s, - 7.221379 s, ? 0.019715 mozilla-try x0000_revs_xx000_added_0_copies 9eec5917337d 67118cc6dcad : 6.664464 s, 0.037606 s, - 6.626858 s, ? 0.005643 mozilla-try x0000_revs_xx000_added_x000_copies 89294cd501d9 7ccb2fc7ccb5 : 7.467836 s, 7.382439 s, - 0.085397 s, ? 0.988565 mozilla-try x0000_revs_x0000_added_x0000_copies e928c65095ed e951f4ad123a : 9.801294 s, 7.273506 s, - 2.527788 s, ? 0.742097 mozilla-try x00000_revs_x_added_0_copies 6a320851d377 1ebb79acd503 : 0.091886 s, killed mozilla-try x00000_revs_x00000_added_0_copies dc8a3ca7010e d16fde900c9c : 26.491140 s, 1.074593 s, -25.416547 s, ? 0.040564 mozilla-try x00000_revs_x_added_x_copies 5173c4b6f97c 95d83ee7242d : 0.092863 s, killed mozilla-try x00000_revs_x000_added_x_copies 9126823d0e9c ca82787bb23c : 0.226823 s, killed mozilla-try x00000_revs_x0000_added_x0000_copies 8d3fafa80d4b eb884023b810 : 18.914630 s, 27.746195 s, + 8.831565 s, ? 1.466917 mozilla-try x00000_revs_x00000_added_x0000_copies 1b661134e2ca 1ae03d022d6d : 21.198903 s, killed mozilla-try x00000_revs_x00000_added_x000_copies 9b2a99adc05e 8e29777b48e6 : 24.952268 s, killed Differential Revision: https://phab.mercurial-scm.org/D9296
author Pierre-Yves David <pierre-yves.david@octobus.net>
date Mon, 02 Nov 2020 11:03:56 +0100
parents 4e0a6d157910
children 89a2afe31e82
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1 # progress.py progress bars related code
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2 #
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3 # Copyright (C) 2010 Augie Fackler <durin42@gmail.com>
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4 #
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5 # This software may be used and distributed according to the terms of the
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6 # GNU General Public License version 2 or any later version.
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8 from __future__ import absolute_import
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10 import errno
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11 import threading
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12 import time
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14 from .i18n import _
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15 from . import encoding
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18 def spacejoin(*args):
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19 return b' '.join(s for s in args if s)
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21
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22 def shouldprint(ui):
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23 return not (ui.quiet or ui.plain(b'progress')) and (
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24 ui._isatty(ui.ferr) or ui.configbool(b'progress', b'assume-tty')
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25 )
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26
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27
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28 def fmtremaining(seconds):
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29 """format a number of remaining seconds in human readable way
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30
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31 This will properly display seconds, minutes, hours, days if needed"""
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32 if seconds < 60:
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33 # i18n: format XX seconds as "XXs"
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34 return _(b"%02ds") % seconds
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35 minutes = seconds // 60
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36 if minutes < 60:
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37 seconds -= minutes * 60
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38 # i18n: format X minutes and YY seconds as "XmYYs"
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39 return _(b"%dm%02ds") % (minutes, seconds)
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40 # we're going to ignore seconds in this case
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41 minutes += 1
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42 hours = minutes // 60
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43 minutes -= hours * 60
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44 if hours < 30:
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45 # i18n: format X hours and YY minutes as "XhYYm"
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46 return _(b"%dh%02dm") % (hours, minutes)
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47 # we're going to ignore minutes in this case
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48 hours += 1
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49 days = hours // 24
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50 hours -= days * 24
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51 if days < 15:
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52 # i18n: format X days and YY hours as "XdYYh"
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53 return _(b"%dd%02dh") % (days, hours)
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54 # we're going to ignore hours in this case
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55 days += 1
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56 weeks = days // 7
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57 days -= weeks * 7
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58 if weeks < 55:
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59 # i18n: format X weeks and YY days as "XwYYd"
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60 return _(b"%dw%02dd") % (weeks, days)
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61 # we're going to ignore days and treat a year as 52 weeks
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62 weeks += 1
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63 years = weeks // 52
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64 weeks -= years * 52
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65 # i18n: format X years and YY weeks as "XyYYw"
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66 return _(b"%dy%02dw") % (years, weeks)
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67
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68
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69 # file_write() and file_flush() of Python 2 do not restart on EINTR if
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70 # the file is attached to a "slow" device (e.g. a terminal) and raise
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71 # IOError. We cannot know how many bytes would be written by file_write(),
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72 # but a progress text is known to be short enough to be written by a
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73 # single write() syscall, so we can just retry file_write() with the whole
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74 # text. (issue5532)
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75 #
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76 # This should be a short-term workaround. We'll need to fix every occurrence
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77 # of write() to a terminal or pipe.
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78 def _eintrretry(func, *args):
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79 while True:
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80 try:
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81 return func(*args)
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82 except IOError as err:
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83 if err.errno == errno.EINTR:
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84 continue
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85 raise
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86
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87
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88 class progbar(object):
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89 def __init__(self, ui):
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90 self.ui = ui
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91 self._refreshlock = threading.Lock()
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92 self.resetstate()
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93
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94 def resetstate(self):
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95 self.topics = []
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96 self.topicstates = {}
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97 self.starttimes = {}
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98 self.startvals = {}
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99 self.printed = False
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100 self.lastprint = time.time() + float(
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101 self.ui.config(b'progress', b'delay')
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102 )
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103 self.curtopic = None
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104 self.lasttopic = None
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105 self.indetcount = 0
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106 self.refresh = float(self.ui.config(b'progress', b'refresh'))
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107 self.changedelay = max(
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108 3 * self.refresh, float(self.ui.config(b'progress', b'changedelay'))
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109 )
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110 self.order = self.ui.configlist(b'progress', b'format')
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111 self.estimateinterval = self.ui.configwith(
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112 float, b'progress', b'estimateinterval'
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113 )
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114
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115 def show(self, now, topic, pos, item, unit, total):
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116 if not shouldprint(self.ui):
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117 return
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118 termwidth = self.width()
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119 self.printed = True
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120 head = b''
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121 needprogress = False
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122 tail = b''
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123 for indicator in self.order:
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124 add = b''
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125 if indicator == b'topic':
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126 add = topic
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127 elif indicator == b'number':
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128 if total:
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129 add = b'%*d/%d' % (len(str(total)), pos, total)
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130 else:
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131 add = b'%d' % pos
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132 elif indicator.startswith(b'item') and item:
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133 slice = b'end'
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134 if b'-' in indicator:
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135 wid = int(indicator.split(b'-')[1])
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136 elif b'+' in indicator:
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137 slice = b'beginning'
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138 wid = int(indicator.split(b'+')[1])
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139 else:
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140 wid = 20
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141 if slice == b'end':
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142 add = encoding.trim(item, wid, leftside=True)
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143 else:
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144 add = encoding.trim(item, wid)
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145 add += (wid - encoding.colwidth(add)) * b' '
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146 elif indicator == b'bar':
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147 add = b''
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148 needprogress = True
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149 elif indicator == b'unit' and unit:
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150 add = unit
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151 elif indicator == b'estimate':
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152 add = self.estimate(topic, pos, total, now)
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153 elif indicator == b'speed':
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154 add = self.speed(topic, pos, unit, now)
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155 if not needprogress:
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156 head = spacejoin(head, add)
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157 else:
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158 tail = spacejoin(tail, add)
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159 if needprogress:
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160 used = 0
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161 if head:
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162 used += encoding.colwidth(head) + 1
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163 if tail:
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164 used += encoding.colwidth(tail) + 1
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165 progwidth = termwidth - used - 3
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166 if total and pos <= total:
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167 amt = pos * progwidth // total
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168 bar = b'=' * (amt - 1)
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169 if amt > 0:
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170 bar += b'>'
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171 bar += b' ' * (progwidth - amt)
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172 else:
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173 progwidth -= 3
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174 self.indetcount += 1
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175 # mod the count by twice the width so we can make the
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176 # cursor bounce between the right and left sides
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177 amt = self.indetcount % (2 * progwidth)
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178 amt -= progwidth
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179 bar = (
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180 b' ' * int(progwidth - abs(amt))
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181 + b'<=>'
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182 + b' ' * int(abs(amt))
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183 )
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184 prog = b''.join((b'[', bar, b']'))
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185 out = spacejoin(head, prog, tail)
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186 else:
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187 out = spacejoin(head, tail)
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188 self._writeerr(b'\r' + encoding.trim(out, termwidth))
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189 self.lasttopic = topic
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190 self._flusherr()
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191
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192 def clear(self):
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193 if not self.printed or not self.lastprint or not shouldprint(self.ui):
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194 return
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195 self._writeerr(b'\r%s\r' % (b' ' * self.width()))
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196 self._flusherr()
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197 if self.printed:
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198 # force immediate re-paint of progress bar
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199 self.lastprint = 0
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200
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201 def complete(self):
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202 if not shouldprint(self.ui):
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203 return
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204 if self.ui.configbool(b'progress', b'clear-complete'):
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205 self.clear()
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206 else:
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207 self._writeerr(b'\n')
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208 self._flusherr()
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209
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210 def _flusherr(self):
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211 _eintrretry(self.ui.ferr.flush)
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212
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213 def _writeerr(self, msg):
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214 _eintrretry(self.ui.ferr.write, msg)
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215
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216 def width(self):
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217 tw = self.ui.termwidth()
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218 return min(int(self.ui.config(b'progress', b'width', default=tw)), tw)
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219
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220 def estimate(self, topic, pos, total, now):
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221 if total is None:
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222 return b''
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223 initialpos = self.startvals[topic]
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224 target = total - initialpos
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225 delta = pos - initialpos
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226 if delta > 0:
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227 elapsed = now - self.starttimes[topic]
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228 seconds = (elapsed * (target - delta)) // delta + 1
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229 return fmtremaining(seconds)
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230 return b''
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231
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232 def speed(self, topic, pos, unit, now):
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233 initialpos = self.startvals[topic]
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234 delta = pos - initialpos
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235 elapsed = now - self.starttimes[topic]
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236 if elapsed > 0:
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237 return _(b'%d %s/sec') % (delta / elapsed, unit)
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238 return b''
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239
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240 def _oktoprint(self, now):
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241 '''Check if conditions are met to print - e.g. changedelay elapsed'''
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diff changeset
242 if (
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243 self.lasttopic is None # first time we printed
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244 # not a topic change
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245 or self.curtopic == self.lasttopic
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246 # it's been long enough we should print anyway
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247 or now - self.lastprint >= self.changedelay
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diff changeset
248 ):
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249 return True
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250 else:
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251 return False
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252
34314
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253 def _calibrateestimate(self, topic, now, pos):
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254 '''Adjust starttimes and startvals for topic so ETA works better
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255
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diff changeset
256 If progress is non-linear (ex. get much slower in the last minute),
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diff changeset
257 it's more friendly to only use a recent time span for ETA and speed
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diff changeset
258 calculation.
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259
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diff changeset
260 [======================================> ]
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diff changeset
261 ^^^^^^^
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262 estimateinterval, only use this for estimation
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263 '''
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264 interval = self.estimateinterval
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265 if interval <= 0:
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266 return
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diff changeset
267 elapsed = now - self.starttimes[topic]
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268 if elapsed > interval:
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269 delta = pos - self.startvals[topic]
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270 newdelta = delta * interval / elapsed
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271 # If a stall happens temporarily, ETA could change dramatically
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272 # frequently. This is to avoid such dramatical change and make ETA
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273 # smoother.
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274 if newdelta < 0.1:
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275 return
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276 self.startvals[topic] = pos - newdelta
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277 self.starttimes[topic] = now - interval
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278
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279 def progress(self, topic, pos, item=b'', unit=b'', total=None):
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280 if pos is None:
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281 self.closetopic(topic)
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282 return
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283 now = time.time()
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284 with self._refreshlock:
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285 if topic not in self.topics:
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286 self.starttimes[topic] = now
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287 self.startvals[topic] = pos
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288 self.topics.append(topic)
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289 self.topicstates[topic] = pos, item, unit, total
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290 self.curtopic = topic
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291 self._calibrateestimate(topic, now, pos)
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292 if now - self.lastprint >= self.refresh and self.topics:
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293 if self._oktoprint(now):
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294 self.lastprint = now
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295 self.show(now, topic, *self.topicstates[topic])
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296
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297 def closetopic(self, topic):
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298 with self._refreshlock:
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299 self.starttimes.pop(topic, None)
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300 self.startvals.pop(topic, None)
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301 self.topicstates.pop(topic, None)
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302 # reset the progress bar if this is the outermost topic
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303 if self.topics and self.topics[0] == topic and self.printed:
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304 self.complete()
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305 self.resetstate()
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306 # truncate the list of topics assuming all topics within
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307 # this one are also closed
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308 if topic in self.topics:
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309 self.topics = self.topics[: self.topics.index(topic)]
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310 # reset the last topic to the one we just unwound to,
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311 # so that higher-level topics will be stickier than
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312 # lower-level topics
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313 if self.topics:
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314 self.lasttopic = self.topics[-1]
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315 else:
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316 self.lasttopic = None