|
| 1 | +from datetime import date, datetime, timezone |
| 2 | +from uuid import UUID |
| 3 | + |
1 | 4 | import pytest |
2 | 5 | from neurosynth_compose_sdk.exceptions import ApiException as ComposeApiException |
3 | 6 |
|
@@ -27,6 +30,76 @@ def test_download_bundle(): |
27 | 30 | assert runner.cached_specification is not None |
28 | 31 |
|
29 | 32 |
|
| 33 | +def test_snapshot_md5_serializes_sdk_scalars_like_api_strings(): |
| 34 | + created_at = datetime(2023, 6, 19, 15, 29, 59, 132810, tzinfo=timezone.utc) |
| 35 | + live_payload = { |
| 36 | + "created_at": created_at, |
| 37 | + "id": UUID("00000000-0000-0000-0000-000000000001"), |
| 38 | + "studies": [{"created_at": created_at, "publication_date": date(2023, 6, 19)}], |
| 39 | + } |
| 40 | + api_payload = { |
| 41 | + "created_at": "2023-06-19T15:29:59.132810+00:00", |
| 42 | + "id": "00000000-0000-0000-0000-000000000001", |
| 43 | + "studies": [ |
| 44 | + { |
| 45 | + "created_at": "2023-06-19T15:29:59.132810+00:00", |
| 46 | + "publication_date": "2023-06-19", |
| 47 | + } |
| 48 | + ], |
| 49 | + } |
| 50 | + |
| 51 | + assert Runner._snapshot_md5(live_payload) == Runner._snapshot_md5(api_payload) |
| 52 | + |
| 53 | + |
| 54 | +def test_json_safe_payload_normalizes_datetimes_without_mutating_source(): |
| 55 | + created_at = datetime(2023, 6, 19, 15, 29, 59, 132810, tzinfo=timezone.utc) |
| 56 | + payload = {"created_at": created_at, "tags": {"b", "a"}} |
| 57 | + |
| 58 | + normalized = Runner._json_safe_payload(payload) |
| 59 | + |
| 60 | + assert normalized == { |
| 61 | + "created_at": "2023-06-19T15:29:59.132810+00:00", |
| 62 | + "tags": ["a", "b"], |
| 63 | + } |
| 64 | + assert payload["created_at"] is created_at |
| 65 | + |
| 66 | + |
| 67 | +def test_create_result_object_normalizes_uploaded_snapshots(): |
| 68 | + created_at = datetime(2023, 6, 19, 15, 29, 59, 132810, tzinfo=timezone.utc) |
| 69 | + captured = {} |
| 70 | + |
| 71 | + class FakeComposeApi: |
| 72 | + def meta_analysis_results_post(self, result_init): |
| 73 | + captured["result_init"] = result_init |
| 74 | + return type("Result", (), {"id": "result-id"})() |
| 75 | + |
| 76 | + runner = Runner(meta_analysis_id="meta-id", environment="production") |
| 77 | + runner.compose_api = FakeComposeApi() |
| 78 | + runner.cached_studyset = { |
| 79 | + "id": UUID("00000000-0000-0000-0000-000000000001"), |
| 80 | + "created_at": created_at, |
| 81 | + "studies": [], |
| 82 | + } |
| 83 | + runner.cached_annotation = { |
| 84 | + "created_at": created_at, |
| 85 | + "notes": [], |
| 86 | + } |
| 87 | + |
| 88 | + runner.create_result_object() |
| 89 | + |
| 90 | + result_init = captured["result_init"] |
| 91 | + assert result_init.snapshot_studyset == { |
| 92 | + "created_at": "2023-06-19T15:29:59.132810+00:00", |
| 93 | + "id": "00000000-0000-0000-0000-000000000001", |
| 94 | + "studies": [], |
| 95 | + } |
| 96 | + assert result_init.snapshot_annotation == { |
| 97 | + "created_at": "2023-06-19T15:29:59.132810+00:00", |
| 98 | + "notes": [], |
| 99 | + } |
| 100 | + assert runner.result_id == "result-id" |
| 101 | + |
| 102 | + |
30 | 103 | @pytest.mark.vcr |
31 | 104 | def test_run_workflow(): |
32 | 105 | runner = Runner( |
|
0 commit comments