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43 lines
1.3 KiB
Python
43 lines
1.3 KiB
Python
import pytest
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from dvc_studio_client import env
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from funcy import first
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@pytest.mark.parametrize("tmp", [True, False])
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def test_post_to_studio(tmp_dir, dvc, scm, exp_stage, mocker, monkeypatch, tmp):
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valid_response = mocker.MagicMock()
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valid_response.status_code = 200
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mocked_post = mocker.patch("requests.post", return_value=valid_response)
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monkeypatch.setenv(env.STUDIO_ENDPOINT, "https://0.0.0.0")
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monkeypatch.setenv(env.STUDIO_REPO_URL, "STUDIO_REPO_URL")
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monkeypatch.setenv(env.STUDIO_TOKEN, "STUDIO_TOKEN")
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baseline_sha = scm.get_rev()
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exp_rev = first(
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dvc.experiments.run(exp_stage.addressing, params=["foo=1"], tmp_dir=tmp)
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)
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name = dvc.experiments.get_exact_name([exp_rev])[exp_rev]
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assert mocked_post.call_count == 2
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start_call, done_call = mocked_post.call_args_list
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assert start_call.kwargs["json"] == {
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"type": "start",
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"repo_url": "STUDIO_REPO_URL",
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"baseline_sha": baseline_sha,
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"name": name,
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"params": {"params.yaml": {"foo": 1}},
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"client": "dvc",
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}
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assert done_call.kwargs["json"] == {
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"type": "done",
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"repo_url": "STUDIO_REPO_URL",
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"baseline_sha": baseline_sha,
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"name": name,
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"client": "dvc",
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"experiment_rev": exp_rev,
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"metrics": {"metrics.yaml": {"data": {"foo": 1}}},
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}
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