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# -*- coding: utf-8 -*-
#
# Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import pytest
@pytest.fixture
def target_class():
from google.cloud.bigquery import ModelReference
return ModelReference
def test_from_api_repr(target_class):
resource = {
"projectId": "my-project",
"datasetId": "my_dataset",
"modelId": "my_model",
}
got = target_class.from_api_repr(resource)
assert got.project == "my-project"
assert got.dataset_id == "my_dataset"
assert got.model_id == "my_model"
assert got.path == "/projects/my-project/datasets/my_dataset/models/my_model"
def test_from_api_repr_w_unknown_fields(target_class):
resource = {
"projectId": "my-project",
"datasetId": "my_dataset",
"modelId": "my_model",
"thisFieldIsNotInTheProto": "just ignore me",
}
got = target_class.from_api_repr(resource)
assert got.project == "my-project"
assert got.dataset_id == "my_dataset"
assert got.model_id == "my_model"
assert got._properties is resource
def test_to_api_repr(target_class):
ref = target_class.from_string("my-project.my_dataset.my_model")
got = ref.to_api_repr()
assert got == {
"projectId": "my-project",
"datasetId": "my_dataset",
"modelId": "my_model",
}
def test_from_string(target_class):
got = target_class.from_string("string-project.string_dataset.string_model")
assert got.project == "string-project"
assert got.dataset_id == "string_dataset"
assert got.model_id == "string_model"
assert got.path == (
"/projects/string-project/datasets/string_dataset/models/string_model"
)
def test_from_string_legacy_string(target_class):
with pytest.raises(ValueError):
target_class.from_string("string-project:string_dataset.string_model")
def test_from_string_not_fully_qualified(target_class):
with pytest.raises(ValueError):
target_class.from_string("string_model")
with pytest.raises(ValueError):
target_class.from_string("string_dataset.string_model")
with pytest.raises(ValueError):
target_class.from_string("a.b.c.d")
def test_from_string_with_default_project(target_class):
got = target_class.from_string(
"string_dataset.string_model", default_project="default-project"
)
assert got.project == "default-project"
assert got.dataset_id == "string_dataset"
assert got.model_id == "string_model"
def test_from_string_ignores_default_project(target_class):
got = target_class.from_string(
"string-project.string_dataset.string_model", default_project="default-project"
)
assert got.project == "string-project"
assert got.dataset_id == "string_dataset"
assert got.model_id == "string_model"
def test_eq(target_class):
model = target_class.from_string("my-proj.my_dset.my_model")
model_too = target_class.from_string("my-proj.my_dset.my_model")
assert model == model_too
assert not (model != model_too)
other_model = target_class.from_string("my-proj.my_dset.my_model2")
assert not (model == other_model)
assert model != other_model
notamodel = object()
assert not (model == notamodel)
assert model != notamodel
def test_hash(target_class):
model = target_class.from_string("my-proj.my_dset.my_model")
model2 = target_class.from_string("my-proj.my_dset.model2")
got = {model: "hello", model2: "world"}
assert got[model] == "hello"
assert got[model2] == "world"
model_too = target_class.from_string("my-proj.my_dset.my_model")
assert got[model_too] == "hello"
def test_repr(target_class):
model = target_class.from_string("my-proj.my_dset.my_model")
got = repr(model)
assert (
got
== "ModelReference(project_id='my-proj', dataset_id='my_dset', model_id='my_model')"
)