File size: 3,689 Bytes
44459bb
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
from unittest import mock

import pytest
from folding_studio.cli import app
from folding_studio.query import BoltzQuery
from typer.testing import CliRunner

runner = CliRunner()


@pytest.fixture
def inference_parameters():
    """Provides the inference parameters dictionary to tests."""
    return {
        "recycling_steps": 3,
        "sampling_steps": 200,
        "diffusion_samples": 1,
        "step_scale": 1.638,
        "output_format": "mmcif",
        "num_workers": 2,
        "msa_pairing_strategy": "greedy",
        "write_full_pae": False,
        "write_full_pde": False,
        "seed": 0,
    }


@pytest.fixture()
def mock_save_inference_parameters():
    """Monkeypatch Response.download_results so that no real file download occurs."""
    with mock.patch("folding_studio.query.Query.save_parameters") as m:
        yield m


def test_boltz_fold_with_valid_fasta_file(
    mock_send_request,
    mock_download_results,
    mock_save_inference_parameters,
    tmp_files,
    inference_parameters,
):
    """
    Running the command with a valid FASTA file should
    process successfully and generate the correct payload.
    """
    result = runner.invoke(
        app,
        [
            "predict",
            "boltz",
            str(tmp_files["monomer_fasta"]),
            "--project-code",
            "test_project",
            "--output",
            tmp_files["output_dir"],
        ],
    )
    assert result.exit_code == 0, result.output

    # Create the expected query using the same parameters as defaults.
    expected_query = BoltzQuery.from_file(
        path=str(tmp_files["monomer_fasta"]), **inference_parameters
    )
    mock_send_request.assert_called_once()
    actual_query = mock_send_request.call_args[0][0]
    # Compare payload keys
    payload = actual_query.payload
    expected = expected_query.payload
    for key in ["fasta_files", "yaml_files", "parameters"]:
        assert payload[key] == expected[key]

    mock_save_inference_parameters.assert_called_once()
    mock_download_results.assert_called_once()


def test_boltz_fold_with_valid_fasta_directory(
    mock_send_request,
    mock_download_results,
    mock_save_inference_parameters,
    tmp_files,
    inference_parameters,
):
    """
    Running the command with a directory containing valid FASTA files should
    process successfully and combine all FASTA files into the payload.
    """
    result = runner.invoke(
        app,
        [
            "predict",
            "boltz",
            str(tmp_files["valid_dir"]),
            "--project-code",
            "test_project",
            "--output",
            tmp_files["output_dir"],
        ],
    )
    assert result.exit_code == 0, result.output

    expected_query = BoltzQuery.from_directory(
        path=tmp_files["valid_dir"], **inference_parameters
    )
    mock_send_request.assert_called_once()
    actual_query = mock_send_request.call_args[0][0]
    payload = actual_query.payload
    expected = expected_query.payload
    assert payload["fasta_files"] == expected["fasta_files"]

    mock_save_inference_parameters.assert_called_once()
    mock_download_results.assert_called_once()


def test_boltz_fold_with_empty_directory(tmp_files):
    """
    Running the command with an empty directory should return an error,
    since no FASTA files are available.
    """
    result = runner.invoke(
        app,
        [
            "predict",
            "boltz",
            str(tmp_files["empty_dir"]),
            "--project-code",
            "test_project",
            "--output",
            tmp_files["output_dir"],
        ],
    )
    assert result.exit_code != 0, result.output