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How to use test_stream_logs method in localstack
Best Python code snippet using localstack_python
test_job_ops_helper.py
Source:test_job_ops_helper.py 
1import re2import time3from collections import OrderedDict4from io import StringIO5from typing import Dict6from unittest.mock import Mock7import pytest8import vcr9from mock import mock_open, patch10from azure.ai.ml._restclient.runhistory.models import RunDetails, RunDetailsWarning11from azure.ai.ml._scope_dependent_operations import OperationScope12from azure.ai.ml.operations._job_ops_helper import (13 _get_sorted_filtered_logs,14 _incremental_print,15 list_logs,16 stream_logs_until_completion,17)18from azure.ai.ml.operations._run_operations import RunOperations19from .test_vcr_utils import before_record_cb20class DummyJob:21 class InteractionEndpoint:22 def __init__(self, **kwargs):23 self.endpoint = "testurl"24 class Properties:25 def __init__(self, **kwargs):26 super().__init__()27 self.experiment_name = "dummy_exp"28 self.services = {"Studio": DummyJob.InteractionEndpoint()}29 self.job_type = "Command"30 def __init__(self, **kwargs):31 super().__init__()32 self.name = "dummy"33 self.properties = DummyJob.Properties()34def fake_read():35 return mock_open(read_data="{}")36@pytest.fixture37def mock__commands():38 m = Mock(name="_commands")39 mock_run_history_facade = patch.dict("sys.modules", {"azureml._execution": m})40 mock_run_history_facade.start()41 yield m42 mock_run_history_facade.stop()43@pytest.fixture44def mock_time(request):45 p = patch("azure.ai.ml.operations._job_ops_helper.time")46 yield p.start()47 p.stop()48@pytest.fixture49def mock_run_operations(mock_workspace_scope: OperationScope, mock_aml_services_run_history: Mock) -> RunOperations:50 yield RunOperations(mock_workspace_scope, mock_aml_services_run_history)51@pytest.mark.skip("TODO 1907352: Relies on a missing VCR.py recording + test suite needs to be reworked")52@pytest.mark.unittest53class TestJobLogManager:54 def test_wait_for_completion_with_output(self, mock_run_operations):55 dummy_job = DummyJob()56 with patch.object(57 RunOperations,58 "get_run_details",59 side_effect=[60 RunDetails(status="Finalizing", log_files={"log1": "Log", "log2": "log"}),61 RunDetails(status="Completed", log_files={"log1": "Log", "log2": "log"}),62 ],63 ) as get_run_mock:64 stream_logs_until_completion(mock_run_operations, dummy_job)65 get_run_mock.assert_called()66 def test_wait_for_completion_with_error_silent(self, mock_run_operations):67 dummy_job = DummyJob()68 with patch.object(69 RunOperations,70 "get_run_details",71 return_value=RunDetails(status="Failed", warnings=[RunDetailsWarning(message="bad luck")]),72 ) as get_run_mock:73 stream_logs_until_completion(mock_run_operations, dummy_job, None, False)74 get_run_mock.assert_called_once()75 def test_wait_for_completion_with_error_raise(self, mock_run_operations):76 dummy_job = DummyJob()77 with patch.object(RunOperations, "get_run_details", return_value=RunDetails(status="Failed")) as get_run_mock:78 with pytest.raises(Exception):79 stream_logs_until_completion(mock_run_operations, dummy_job)80 get_run_mock.assert_called_once()81 # The list of logs that should be streamed, if you need to recreate,82 # you can just copy and paste the logFiles section from the Raw run JSON on the UI,83 # then keep here only the ones we stream84 _streamable_log_files_urls = OrderedDict(85 {86 "azureml-logs/55_azureml-execution-tvmps_f712ea79c8fca9c3c7f41774b414e867a0854377c8e411b095f30dd68f6d6027_d.txt": "https://rihorn24316837458.blob.core.windows.net/azureml/ExperimentRun/dcid.1a9952e7-f173-45c0-bd61-3cd591498bdf/azureml-logs/55_azureml-execution-tvmps_f712ea79c8fca9c3c7f41774b414e867a0854377c8e411b095f30dd68f6d6027_d.txt?sv=2019-02-02&sr=b&sig=2B9oQEbsUwKZzw1eTUiyLJy64DRC%2BVOjv9lRb8Jx%2FLM%3D&skoid=e3f42e2c-d581-4b65-a966-631cfa961328&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2021-05-03T13%3A11%3A21Z&ske=2021-05-04T08%3A32%3A18Z&sks=b&skv=2019-02-02&st=2021-05-03T13%3A45%3A30Z&se=2021-05-03T21%3A55%3A30Z&sp=r",87 "azureml-logs/65_job_prep-tvmps_f712ea79c8fca9c3c7f41774b414e867a0854377c8e411b095f30dd68f6d6027_d.txt": "https://rihorn24316837458.blob.core.windows.net/azureml/ExperimentRun/dcid.1a9952e7-f173-45c0-bd61-3cd591498bdf/azureml-logs/65_job_prep-tvmps_f712ea79c8fca9c3c7f41774b414e867a0854377c8e411b095f30dd68f6d6027_d.txt?sv=2019-02-02&sr=b&sig=2E1x1mUWF5Y8VD1e0yMqEZeWct4vngjES%2FJ3SFzKKxU%3D&skoid=e3f42e2c-d581-4b65-a966-631cfa961328&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2021-05-03T13%3A11%3A21Z&ske=2021-05-04T08%3A32%3A18Z&sks=b&skv=2019-02-02&st=2021-05-03T13%3A45%3A30Z&se=2021-05-03T21%3A55%3A30Z&sp=r",88 "azureml-logs/70_driver_log-worker-0.txt": "https://rihorn24316837458.blob.core.windows.net/azureml/ExperimentRun/dcid.1a9952e7-f173-45c0-bd61-3cd591498bdf/azureml-logs/70_driver_log-worker-0.txt?sv=2019-02-02&sr=b&sig=8lXLfLMqGaQ7VNGLCKkQ%2BbdebJcyEFCJzNStYCRuVZc%3D&skoid=e3f42e2c-d581-4b65-a966-631cfa961328&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2021-05-03T13%3A11%3A21Z&ske=2021-05-04T08%3A32%3A18Z&sks=b&skv=2019-02-02&st=2021-05-03T13%3A45%3A30Z&se=2021-05-03T21%3A55%3A30Z&sp=r",89 "azureml-logs/75_job_post-tvmps_f712ea79c8fca9c3c7f41774b414e867a0854377c8e411b095f30dd68f6d6027_d.txt": "https://rihorn24316837458.blob.core.windows.net/azureml/ExperimentRun/dcid.1a9952e7-f173-45c0-bd61-3cd591498bdf/azureml-logs/75_job_post-tvmps_f712ea79c8fca9c3c7f41774b414e867a0854377c8e411b095f30dd68f6d6027_d.txt?sv=2019-02-02&sr=b&sig=9YR6A64Tuq0E7KsgzPX7atqJ33eGjaJ8QeRaNaQ1%2BL4%3D&skoid=e3f42e2c-d581-4b65-a966-631cfa961328&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2021-05-03T13%3A11%3A21Z&ske=2021-05-04T08%3A32%3A18Z&sks=b&skv=2019-02-02&st=2021-05-03T13%3A45%3A30Z&se=2021-05-03T21%3A55%3A30Z&sp=r",90 }91 )92 # The list of logs that should NOT be streamed, if you need to recreate,93 # you can just copy and paste the logFiles section from the Raw run JSON on the UI,94 # then keep here only the ones we shouldn't stream95 _additional_log_files_urls = {96 "azureml-logs/process_info.json": "https://rihorn24316837458.blob.core.windows.net/azureml/ExperimentRun/dcid.1a9952e7-f173-45c0-bd61-3cd591498bdf/azureml-logs/process_info.json?sv=2019-02-02&sr=b&sig=wn2pW00%2F86Qlo3NWOokMVGmaeModJNyHlIP5dDI4zqk%3D&skoid=e3f42e2c-d581-4b65-a966-631cfa961328&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2021-05-03T13%3A11%3A21Z&ske=2021-05-04T08%3A32%3A18Z&sks=b&skv=2019-02-02&st=2021-05-03T13%3A45%3A30Z&se=2021-05-03T21%3A55%3A30Z&sp=r",97 "azureml-logs/process_status.json": "https://rihorn24316837458.blob.core.windows.net/azureml/ExperimentRun/dcid.1a9952e7-f173-45c0-bd61-3cd591498bdf/azureml-logs/process_status.json?sv=2019-02-02&sr=b&sig=FDFzfqtn9iYq2FMb5SOBGBu91k%2B8LQITcRiYYyLtDHs%3D&skoid=e3f42e2c-d581-4b65-a966-631cfa961328&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2021-05-03T13%3A11%3A21Z&ske=2021-05-04T08%3A32%3A18Z&sks=b&skv=2019-02-02&st=2021-05-03T13%3A45%3A30Z&se=2021-05-03T21%3A55%3A30Z&sp=r",98 "logs/azureml/job_prep_azureml.log": "https://rihorn24316837458.blob.core.windows.net/azureml/ExperimentRun/dcid.1a9952e7-f173-45c0-bd61-3cd591498bdf/logs/azureml/job_prep_azureml.log?sv=2019-02-02&sr=b&sig=td0HUXBar%2FYv%2FhZiSdlPR516OH8bCMiBN3yH6dCSHvk%3D&skoid=e3f42e2c-d581-4b65-a966-631cfa961328&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2021-05-03T13%3A11%3A21Z&ske=2021-05-04T08%3A32%3A18Z&sks=b&skv=2019-02-02&st=2021-05-03T13%3A45%3A30Z&se=2021-05-03T21%3A55%3A30Z&sp=r",99 "logs/azureml/job_release_azureml.log": "https://rihorn24316837458.blob.core.windows.net/azureml/ExperimentRun/dcid.1a9952e7-f173-45c0-bd61-3cd591498bdf/logs/azureml/job_release_azureml.log?sv=2019-02-02&sr=b&sig=BeeRya%2FFZhqCNBk0hCJrks7%2Bejg9qTCFe5FNnf%2BUJyk%3D&skoid=e3f42e2c-d581-4b65-a966-631cfa961328&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2021-05-03T13%3A11%3A21Z&ske=2021-05-04T08%3A32%3A18Z&sks=b&skv=2019-02-02&st=2021-05-03T13%3A45%3A30Z&se=2021-05-03T21%3A55%3A30Z&sp=r",100 "logs/azureml/worker0_373_azureml.log": "https://rihorn24316837458.blob.core.windows.net/azureml/ExperimentRun/dcid.1a9952e7-f173-45c0-bd61-3cd591498bdf/logs/azureml/worker0_373_azureml.log?sv=2019-02-02&sr=b&sig=ySxUJjd1lqi%2FskcMfAYYFQ%2FyUQALbV0WH7jYtf%2FXaKk%3D&skoid=e3f42e2c-d581-4b65-a966-631cfa961328&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2021-05-03T13%3A11%3A21Z&ske=2021-05-04T08%3A32%3A18Z&sks=b&skv=2019-02-02&st=2021-05-03T13%3A45%3A30Z&se=2021-05-03T21%3A55%3A30Z&sp=r",101 }102 _common_runtime_log_urls = {103 "user_logs/std_log.txt": "https://rihorn24316837458.blob.core.windows.net/azureml/ExperimentRun/dcid.1a9952e7-f173-45c0-bd61-3cd591498bdf/azureml-logs/process_info.json?sv=2019-02-02&sr=b&sig=wn2pW00%2F86Qlo3NWOokMVGmaeModJNyHlIP5dDI4zqk%3D&skoid=e3f42e2c-d581-4b65-a966-631cfa961328&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2021-05-03T13%3A11%3A21Z&ske=2021-05-04T08%3A32%3A18Z&sks=b&skv=2019-02-02&st=2021-05-03T13%3A45%3A30Z&se=2021-05-03T21%3A55%3A30Z&sp=r",104 "azureml-logs/lifecycler/lifecycler.log": "https://rihorn24316837458.blob.core.windows.net/azureml/ExperimentRun/dcid.1a9952e7-f173-45c0-bd61-3cd591498bdf/azureml-logs/process_info.json?sv=2019-02-02&sr=b&sig=wn2pW00%2F86Qlo3NWOokMVGmaeModJNyHlIP5dDI4zqk%3D&skoid=e3f42e2c-d581-4b65-a966-631cfa961328&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2021-05-03T13%3A11%3A21Z&ske=2021-05-04T08%3A32%3A18Z&sks=b&skv=2019-02-02&st=2021-05-03T13%3A45%3A30Z&se=2021-05-03T21%3A55%3A30Z&sp=r",105 }106 _common_runtime_mpi_urls = {107 "user_logs/std_log_process_00.txt": "https://rihorn24316837458.blob.core.windows.net/azureml/ExperimentRun/dcid.1a9952e7-f173-45c0-bd61-3cd591498bdf/azureml-logs/process_info.json?sv=2019-02-02&sr=b&sig=wn2pW00%2F86Qlo3NWOokMVGmaeModJNyHlIP5dDI4zqk%3D&skoid=e3f42e2c-d581-4b65-a966-631cfa961328&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2021-05-03T13%3A11%3A21Z&ske=2021-05-04T08%3A32%3A18Z&sks=b&skv=2019-02-02&st=2021-05-03T13%3A45%3A30Z&se=2021-05-03T21%3A55%3A30Z&sp=r",108 "user_logs/std_log_process_01.txt": "https://rihorn24316837458.blob.core.windows.net/azureml/ExperimentRun/dcid.1a9952e7-f173-45c0-bd61-3cd591498bdf/azureml-logs/process_info.json?sv=2019-02-02&sr=b&sig=wn2pW00%2F86Qlo3NWOokMVGmaeModJNyHlIP5dDI4zqk%3D&skoid=e3f42e2c-d581-4b65-a966-631cfa961328&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2021-05-03T13%3A11%3A21Z&ske=2021-05-04T08%3A32%3A18Z&sks=b&skv=2019-02-02&st=2021-05-03T13%3A45%3A30Z&se=2021-05-03T21%3A55%3A30Z&sp=r",109 "user_logs/std_log_process_02.txt": "https://rihorn24316837458.blob.core.windows.net/azureml/ExperimentRun/dcid.1a9952e7-f173-45c0-bd61-3cd591498bdf/azureml-logs/process_info.json?sv=2019-02-02&sr=b&sig=wn2pW00%2F86Qlo3NWOokMVGmaeModJNyHlIP5dDI4zqk%3D&skoid=e3f42e2c-d581-4b65-a966-631cfa961328&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2021-05-03T13%3A11%3A21Z&ske=2021-05-04T08%3A32%3A18Z&sks=b&skv=2019-02-02&st=2021-05-03T13%3A45%3A30Z&se=2021-05-03T21%3A55%3A30Z&sp=r",110 "user_logs/std_log_process_03.txt": "https://rihorn24316837458.blob.core.windows.net/azureml/ExperimentRun/dcid.1a9952e7-f173-45c0-bd61-3cd591498bdf/azureml-logs/process_info.json?sv=2019-02-02&sr=b&sig=wn2pW00%2F86Qlo3NWOokMVGmaeModJNyHlIP5dDI4zqk%3D&skoid=e3f42e2c-d581-4b65-a966-631cfa961328&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2021-05-03T13%3A11%3A21Z&ske=2021-05-04T08%3A32%3A18Z&sks=b&skv=2019-02-02&st=2021-05-03T13%3A45%3A30Z&se=2021-05-03T21%3A55%3A30Z&sp=r",111 "user_logs/std_log_process_04.txt": "https://rihorn24316837458.blob.core.windows.net/azureml/ExperimentRun/dcid.1a9952e7-f173-45c0-bd61-3cd591498bdf/azureml-logs/process_info.json?sv=2019-02-02&sr=b&sig=wn2pW00%2F86Qlo3NWOokMVGmaeModJNyHlIP5dDI4zqk%3D&skoid=e3f42e2c-d581-4b65-a966-631cfa961328&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2021-05-03T13%3A11%3A21Z&ske=2021-05-04T08%3A32%3A18Z&sks=b&skv=2019-02-02&st=2021-05-03T13%3A45%3A30Z&se=2021-05-03T21%3A55%3A30Z&sp=r",112 }113 _common_runtime_tensorflow_urls = {114 "user_logs/std_log_node_00_ps.txt": "https://rihorn24316837458.blob.core.windows.net/azureml/ExperimentRun/dcid.1a9952e7-f173-45c0-bd61-3cd591498bdf/azureml-logs/process_info.json?sv=2019-02-02&sr=b&sig=wn2pW00%2F86Qlo3NWOokMVGmaeModJNyHlIP5dDI4zqk%3D&skoid=e3f42e2c-d581-4b65-a966-631cfa961328&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2021-05-03T13%3A11%3A21Z&ske=2021-05-04T08%3A32%3A18Z&sks=b&skv=2019-02-02&st=2021-05-03T13%3A45%3A30Z&se=2021-05-03T21%3A55%3A30Z&sp=r",115 "user_logs/std_log_node_01_ps.txt": "https://rihorn24316837458.blob.core.windows.net/azureml/ExperimentRun/dcid.1a9952e7-f173-45c0-bd61-3cd591498bdf/azureml-logs/process_info.json?sv=2019-02-02&sr=b&sig=wn2pW00%2F86Qlo3NWOokMVGmaeModJNyHlIP5dDI4zqk%3D&skoid=e3f42e2c-d581-4b65-a966-631cfa961328&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2021-05-03T13%3A11%3A21Z&ske=2021-05-04T08%3A32%3A18Z&sks=b&skv=2019-02-02&st=2021-05-03T13%3A45%3A30Z&se=2021-05-03T21%3A55%3A30Z&sp=r",116 "user_logs/std_log_node_00_worker.txt": "https://rihorn24316837458.blob.core.windows.net/azureml/ExperimentRun/dcid.1a9952e7-f173-45c0-bd61-3cd591498bdf/azureml-logs/process_info.json?sv=2019-02-02&sr=b&sig=wn2pW00%2F86Qlo3NWOokMVGmaeModJNyHlIP5dDI4zqk%3D&skoid=e3f42e2c-d581-4b65-a966-631cfa961328&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2021-05-03T13%3A11%3A21Z&ske=2021-05-04T08%3A32%3A18Z&sks=b&skv=2019-02-02&st=2021-05-03T13%3A45%3A30Z&se=2021-05-03T21%3A55%3A30Z&sp=r",117 "user_logs/std_log_node_01_worker.txt": "https://rihorn24316837458.blob.core.windows.net/azureml/ExperimentRun/dcid.1a9952e7-f173-45c0-bd61-3cd591498bdf/azureml-logs/process_info.json?sv=2019-02-02&sr=b&sig=wn2pW00%2F86Qlo3NWOokMVGmaeModJNyHlIP5dDI4zqk%3D&skoid=e3f42e2c-d581-4b65-a966-631cfa961328&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2021-05-03T13%3A11%3A21Z&ske=2021-05-04T08%3A32%3A18Z&sks=b&skv=2019-02-02&st=2021-05-03T13%3A45%3A30Z&se=2021-05-03T21%3A55%3A30Z&sp=r",118 "user_logs/std_log_node_02_worker.txt": "https://rihorn24316837458.blob.core.windows.net/azureml/ExperimentRun/dcid.1a9952e7-f173-45c0-bd61-3cd591498bdf/azureml-logs/process_info.json?sv=2019-02-02&sr=b&sig=wn2pW00%2F86Qlo3NWOokMVGmaeModJNyHlIP5dDI4zqk%3D&skoid=e3f42e2c-d581-4b65-a966-631cfa961328&sktid=72f988bf-86f1-41af-91ab-2d7cd011db47&skt=2021-05-03T13%3A11%3A21Z&ske=2021-05-04T08%3A32%3A18Z&sks=b&skv=2019-02-02&st=2021-05-03T13%3A45%3A30Z&se=2021-05-03T21%3A55%3A30Z&sp=r",119 }120 # Method to create a RunDetails based on the provided status,121 # the number of streamable files to include, and if whether to add or not122 # non-streamable log files123 def _get_run_details_dto(124 self, status="Finalizing", number_of_streamable_log_files=0, include_additional_log_files=False125 ) -> RunDetails:126 keys = self._streamable_log_files_urls.keys()127 # Check if there are enough streamable log files128 if number_of_streamable_log_files > len(keys):129 raise Exception(f"There are less than {number_of_streamable_log_files}")130 # Keep only the first number_of_streamable_log_files logs131 log_files = {}132 for key in keys:133 log_files[key] = self._streamable_log_files_urls[key]134 number_of_streamable_log_files -= 1135 if not number_of_streamable_log_files:136 break137 # Add the additional logs if specified138 if include_additional_log_files:139 log_files.update(self._additional_log_files_urls)140 return RunDetails(status=status, log_files=log_files)141 # Helper method to test that logs will be streamed comprehensively142 # and in predictable order independently of the sequence of run details.143 # Logs could be delivered at different pace after subsequent calls to get details144 def _test_stream_logs_helper(self, mock_run_operations, run_details_sequence=[]) -> None:145 my_vcr = vcr.VCR(before_record=before_record_cb)146 with patch("sys.stdout", new=StringIO()) as fake_out, patch.object(147 RunOperations, "get_run_details", side_effect=run_details_sequence148 ) as get_run_mock, patch.object(time, "sleep",) as fake_time, my_vcr.use_cassette(149 "cassettes/test_stream_logs.yaml"150 ):151 stream_logs_until_completion(mock_run_operations, DummyJob())152 # get_run_mock was called, and all the sequence of run details was consumed153 get_run_mock.assert_called()154 assert get_run_mock.call_count == len(run_details_sequence)155 # while streamed, we waited in between each call to get run details156 fake_time.assert_called()157 assert fake_time.call_count == len(run_details_sequence) - 1158 # Regext to checking on the 'Streaming <log name>' message159 reg_exp = re.compile(r"Streaming ([\S]*)")160 output = fake_out.getvalue()161 list_of_logs = list(self._streamable_log_files_urls.keys())162 # Check that all the logs were streamed163 assert reg_exp.findall(output) == list_of_logs164 # Check there were no duplicates165 assert len(list_of_logs) == len(set(list_of_logs))166 def test_list_logs(self, mock_run_operations) -> None:167 with patch.object(168 RunOperations,169 "get_run_details",170 side_effect=[self._get_run_details_dto(status="Completed", number_of_streamable_log_files=3)],171 ) as get_run_mock:172 output = list_logs(mock_run_operations, DummyJob())173 get_run_mock.assert_called()174 assert len(output.items()) == 3175 # Method to test the golden path, a new log was added on each call to get run details176 @pytest.mark.vcr()177 def test_stream_logs_golden_path(self, mock_run_operations) -> None:178 run_details_sequence = [179 self._get_run_details_dto(status="Running"),180 self._get_run_details_dto(status="Finalizing", number_of_streamable_log_files=1),181 self._get_run_details_dto(status="Finalizing", number_of_streamable_log_files=2),182 self._get_run_details_dto(status="Finalizing", number_of_streamable_log_files=3),183 self._get_run_details_dto(status="Finalizing", number_of_streamable_log_files=4),184 self._get_run_details_dto(185 status="Completed", number_of_streamable_log_files=4, include_additional_log_files=True186 ),187 ]188 self._test_stream_logs_helper(mock_run_operations, run_details_sequence=run_details_sequence)189 # Method to test when all the logs were available at the same time190 @pytest.mark.vcr()191 def test_stream_logs_arriving_all_together(self, mock_run_operations) -> None:192 run_details_sequence = [193 self._get_run_details_dto(status="Running"),194 self._get_run_details_dto(status="Finalizing", number_of_streamable_log_files=4),195 self._get_run_details_dto(196 status="Completed", number_of_streamable_log_files=4, include_additional_log_files=True197 ),198 ]199 self._test_stream_logs_helper(mock_run_operations, run_details_sequence=run_details_sequence)200 # Method to test when the logs became available in batches of 2201 @pytest.mark.vcr()202 def test_stream_logs_arriving_in_batches(self, mock_run_operations) -> None:203 run_details_sequence = [204 self._get_run_details_dto(status="Running"),205 self._get_run_details_dto(status="Finalizing", number_of_streamable_log_files=2),206 self._get_run_details_dto(status="Finalizing", number_of_streamable_log_files=4),207 self._get_run_details_dto(208 status="Completed", number_of_streamable_log_files=4, include_additional_log_files=True209 ),210 ]211 self._test_stream_logs_helper(mock_run_operations, run_details_sequence=run_details_sequence)212 def test_get_streamable_logs_common_runtime_folder_structure(self) -> None:213 output = _get_sorted_filtered_logs(self._common_runtime_log_urls, "Command")214 assert len(output) == 1215 assert output[0] == "user_logs/std_log.txt"216 def test_get_all_logs_common_runtime_folder_structure(self) -> None:217 output = _get_sorted_filtered_logs(self._common_runtime_log_urls, "Command", {}, False)218 assert len(output) == 1219 assert output[0] == "user_logs/std_log.txt"220 def test_get_streamable_logs_common_runtime_mpi(self) -> None:221 output = _get_sorted_filtered_logs(self._common_runtime_mpi_urls, "Command")222 assert len(output) == 1223 assert output[0] == "user_logs/std_log_process_00.txt"224 def test_get_all_logs_common_runtime_mpi(self) -> None:225 output = _get_sorted_filtered_logs(self._common_runtime_mpi_urls, "Command", {}, False)226 assert len(output) == 5227 def test_get_streamable_logs_common_runtime_tensorflow(self) -> None:228 output = _get_sorted_filtered_logs(self._common_runtime_tensorflow_urls, "Command")229 assert len(output) == 1230 assert output[0] == "user_logs/std_log_node_00_ps.txt"231 def test_get_all_logs_common_runtime_tensorflow(self) -> None:232 output = _get_sorted_filtered_logs(self._common_runtime_tensorflow_urls, "Command", {}, False)233 assert len(output) == 5234 def test_stream_printing(self) -> None:235 log_name = "55_log_test"236 log_content = "line1\nline2\nline3\n"237 stream = StringIO()238 processed_logs: Dict[str, int] = {}239 _incremental_print(log_content, processed_logs, log_name, stream)240 # should contain the length of the log (3) + the header lines (4)241 assert len(stream.getvalue().splitlines()) == 7242 assert processed_logs[log_name] == 3243 # reset the state, to mock out the case where the first two lines have alread been read in244 processed_logs[log_name] = 2245 stream = StringIO()246 _incremental_print(log_content, processed_logs, log_name, stream)247 # should contain the length of the log (3) - skip previous lines (2) + no header lines (0)248 assert len(stream.getvalue().splitlines()) == 1249 assert processed_logs[log_name] == 3250 def test_empty_log_is_skipped(self) -> None:251 log_name = "55_log_test"252 log_content = ""253 stream = StringIO()254 processed_logs: Dict[str, int] = {}255 _incremental_print(log_content, processed_logs, log_name, stream)256 # should be empty, no header, no log.257 assert len(stream.getvalue().splitlines()) == 0...
test_worker.py
Source:test_worker.py
...309@patch('pika.PlainCredentials')310@patch('pika.ConnectionParameters')311@patch('pika.BlockingConnection')312@patch('ammonite.callback.Sender', MockSender)313def test_stream_logs(a, b, c):314 print("starting stream log")315 container_name = "container"316 container_path = os.path.join(ROOT_DIR, "data")317 filename = os.path.join(container_path,318 container_name,319 "%s-json.log" % container_name)320 container = MockDockerContainer()321 config = MockConfig({'DOCKER': {'CONTAINER_PATH': container_path}})322 with LogCapture() as l:323 with open(filename, 'w') as fh:324 thread = Thread(target=stream_log,325 args=(container_name, "2", container, config))326 thread.daemon = True327 thread.start()...
test_agent.py
Source:test_agent.py
...175 assert response == metrics_response()176# @pytest.mark.skip177# @pytest.mark.asyncio178# @pytest.mark.parametrize("expected", [metrics_response()])179# async def test_stream_logs(agent, expected):180# response = await agent.stream_logs(stream=True)181# assert response182@pytest.mark.asyncio183@pytest.mark.parametrize("expected", [200])184async def test_join(agent, expected):185 agent.client.expected = expected186 response = await agent.join("1.2.3.4")187 assert response.status == 200188@pytest.mark.asyncio189@pytest.mark.parametrize("expected", [200])190async def test_leave(agent, expected):191 agent.client.expected = expected192 response = await agent.leave()193 assert response.status == 200...
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