1 | """Benchmarks for minimal `tahoe` CLI interactions.""" |
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2 | |
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3 | from subprocess import Popen, PIPE |
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4 | |
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5 | import pytest |
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6 | |
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7 | from integration.util import cli |
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8 | |
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9 | |
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10 | @pytest.fixture(scope="module", autouse=True) |
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11 | def cli_alias(client_node): |
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12 | cli(client_node.process, "create-alias", "cli") |
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13 | |
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14 | |
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15 | @pytest.mark.parametrize("file_size", [1000, 100_000, 1_000_000, 10_000_000]) |
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16 | def test_get_put_files_sequentially( |
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17 | file_size, |
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18 | client_node, |
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19 | tahoe_benchmarker, |
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20 | number_of_nodes, |
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21 | capsys, |
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22 | ): |
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23 | """ |
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24 | Upload 5 files with ``tahoe put`` and then download them with ``tahoe |
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25 | get``, measuring the latency of both operations. We do multiple uploads |
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26 | and downloads to try to reduce noise. |
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27 | """ |
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28 | DATA = b"0123456789" * (file_size // 10) |
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29 | |
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30 | with tahoe_benchmarker.record( |
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31 | capsys, "cli-put-5-file-sequentially", file_size=file_size, number_of_nodes=number_of_nodes |
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32 | ): |
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33 | for i in range(5): |
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34 | p = Popen( |
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35 | [ |
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36 | "tahoe", |
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37 | "--node-directory", |
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38 | client_node.process.node_dir, |
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39 | "put", |
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40 | "-", |
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41 | f"cli:get_put_files_sequentially{i}", |
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42 | ], |
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43 | stdin=PIPE, |
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44 | ) |
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45 | p.stdin.write(DATA) |
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46 | p.stdin.write(str(i).encode("ascii")) |
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47 | p.stdin.close() |
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48 | assert p.wait() == 0 |
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49 | |
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50 | with tahoe_benchmarker.record( |
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51 | capsys, "cli-get-5-files-sequentially", file_size=file_size, number_of_nodes=number_of_nodes |
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52 | ): |
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53 | for i in range(5): |
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54 | p = Popen( |
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55 | [ |
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56 | "tahoe", |
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57 | "--node-directory", |
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58 | client_node.process.node_dir, |
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59 | "get", |
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60 | f"cli:get_put_files_sequentially{i}", |
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61 | "-", |
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62 | ], |
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63 | stdout=PIPE, |
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64 | ) |
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65 | assert p.stdout.read() == DATA + str(i).encode("ascii") |
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66 | assert p.wait() == 0 |
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