|
12 | 12 |
|
13 | 13 | import vetiver |
14 | 14 |
|
15 | | -np.random.RandomState(500) |
16 | | - |
17 | | -# Load data, model |
18 | | -X_df, y = vetiver.mock.get_mock_data() |
19 | | -model = vetiver.mock.get_mock_model().fit(X_df, y) |
20 | | - |
21 | 15 | RSC_SERVER_URL = "http://localhost:3939" |
22 | 16 | RSC_KEYS_FNAME = "vetiver/tests/rsconnect_api_keys.json" |
23 | 17 |
|
@@ -71,15 +65,12 @@ def rsc_short(): |
71 | 65 | rsc_delete_user_content(fs_susan.api) |
72 | 66 |
|
73 | 67 |
|
74 | | -def test_board_pin_write(rsc_short): |
75 | | - v = vetiver.VetiverModel( |
76 | | - model=model, ptype_data=X_df, model_name="susan/model", versioned=None |
77 | | - ) |
78 | | - vetiver.vetiver_pin_write(board=rsc_short, model=v) |
79 | | - assert isinstance(rsc_short.pin_read("susan/model"), sklearn.dummy.DummyRegressor) |
80 | | - |
81 | | - |
82 | 68 | def test_deploy(rsc_short): |
| 69 | + np.random.seed(500) |
| 70 | + |
| 71 | + # Load data, model |
| 72 | + X_df, y = vetiver.mock.get_mock_data() |
| 73 | + model = vetiver.mock.get_mock_model().fit(X_df, y) |
83 | 74 |
|
84 | 75 | v = vetiver.VetiverModel( |
85 | 76 | model=model, ptype_data=X_df, model_name="susan/model", versioned=None |
@@ -118,6 +109,7 @@ def test_deploy(rsc_short): |
118 | 109 | # log_callback=None, |
119 | 110 | # ) |
120 | 111 |
|
| 112 | + # get url of where content lives |
121 | 113 | client = RSConnectClient(connect_server) |
122 | 114 | dicts = client.content_search() |
123 | 115 | rsc_api = list(filter(lambda x: x["title"] == "testapi", dicts)) |
|
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