def test_get_paginated_runs_lt_maxresults_onepage_nonetoken():
"""
Number of runs is less than max_results and fits on one page.
The token passed back on the last page is None, not the emptystring
"""
runs = [create_run() for i in range(5)]
tokenized_runs = PagedList(runs, None)
max_results = 50
with mock.patch("mlflow.tracking.fluent.NUM_RUNS_PER_PAGE_PANDAS", 10):
with mock.patch.object(MlflowClient, "search_runs", return_value=tokenized_runs):
paginated_runs = _get_paginated_runs([], "", ViewType.ACTIVE_ONLY, max_results, None)
MlflowClient.search_runs.assert_called_once()
assert len(paginated_runs) == 5
def test_get_paginated_runs_gt_maxresults_onepage():
""""
Number of runs that fit search criteria is greater than max_results. Only one page expected.
Expected to only get max_results number of results back.
"""
runs = [create_run() for i in range(10)]
tokenized_runs = PagedList(runs, "abc")
max_results = 10
with mock.patch("mlflow.tracking.fluent.NUM_RUNS_PER_PAGE_PANDAS", 20):
with mock.patch.object(MlflowClient, "search_runs", return_value=tokenized_runs):
paginated_runs = _get_paginated_runs([123], "", ViewType.ACTIVE_ONLY, max_results, None)
MlflowClient.search_runs.assert_called_once_with(
[123], "", ViewType.ACTIVE_ONLY, max_results, None, None)
assert len(paginated_runs) == 10
def test_get_paginated_runs_lt_maxresults_multipage():
"""
Number of runs is less than max_results, but multiple pages are necessary to get all runs
"""
tokenized_runs = PagedList([create_run() for i in range(10)], "token")
no_token_runs = PagedList([create_run()], "")
max_results = 50
with mock.patch("mlflow.tracking.fluent.NUM_RUNS_PER_PAGE_PANDAS", 10):
with mock.patch.object(MlflowClient, "search_runs"):
MlflowClient.search_runs.side_effect = [tokenized_runs, tokenized_runs, no_token_runs]
TOTAL_RUNS = 21
paginated_runs = _get_paginated_runs([], "", ViewType.ACTIVE_ONLY, max_results, None)
assert len(paginated_runs) == TOTAL_RUNS
def test_get_paginated_runs_lt_maxresults_onepage():
"""
Number of runs is less than max_results and fits on one page,
so we only need to fetch one page.
"""
runs = [create_run() for _ in range(5)]
tokenized_runs = PagedList(runs, "")
max_results = 50
with mock.patch("mlflow.tracking.fluent.NUM_RUNS_PER_PAGE_PANDAS", 10):
with mock.patch.object(MlflowClient,
"search_runs",
return_value=tokenized_runs):
paginated_runs = _get_paginated_runs([], "", ViewType.ACTIVE_ONLY,
max_results, None)
MlflowClient.search_runs.assert_called_once()
assert len(paginated_runs) == 5
def test_get_paginated_runs_eq_maxresults_token():
"""
Runs returned are equal to max_results which are equal to a full number of pages.
The server might send a token back, or they might not (depending on if they know if
more runs exist). In this example, a toke IS sent back.
Expected behavior is to NOT query for more pages.
"""
runs = [create_run() for i in range(10)]
tokenized_runs = PagedList(runs, "abc")
blank_runs = PagedList([], "")
max_results = 10
with mock.patch("mlflow.tracking.fluent.NUM_RUNS_PER_PAGE_PANDAS", 10):
with mock.patch.object(MlflowClient, "search_runs"):
MlflowClient.search_runs.side_effect = [tokenized_runs, blank_runs]
paginated_runs = _get_paginated_runs([], "", ViewType.ACTIVE_ONLY, max_results, None)
MlflowClient.search_runs.assert_called_once()
assert len(paginated_runs) == 10
def test_get_paginated_runs_gt_maxresults_multipage():
"""
Number of runs that fit search criteria is greater than max_results. Multiple pages expected.
Expected to only get max_results number of results back.
"""
# should ask for and return the correct number of max_results
full_page_runs = PagedList([create_run() for i in range(8)], "abc")
partial_page = PagedList([create_run() for i in range(4)], "def")
max_results = 20
with mock.patch("mlflow.tracking.fluent.NUM_RUNS_PER_PAGE_PANDAS", 8):
with mock.patch.object(MlflowClient, "search_runs"):
MlflowClient.search_runs.side_effect = [full_page_runs, full_page_runs, partial_page]
paginated_runs = _get_paginated_runs([12], "", ViewType.ACTIVE_ONLY, max_results, None)
calls = [mock.call([12], "", ViewType.ACTIVE_ONLY, 8, None, None),
mock.call([12], "", ViewType.ACTIVE_ONLY, 8, None, "abc"),
mock.call([12], "", ViewType.ACTIVE_ONLY, 20 % 8, None, "abc")]
MlflowClient.search_runs.assert_has_calls(calls)
assert len(paginated_runs) == 20
