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# Copyright 2015 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
#
# http://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 copy
import collections
import datetime
import decimal
import email
import gzip
import io
import json
import operator
import unittest
import warnings
import mock
import requests
import six
from six.moves import http_client
import pytest
import pytz
import pkg_resources
try:
import pandas
except (ImportError, AttributeError): # pragma: NO COVER
pandas = None
try:
import opentelemetry
from opentelemetry import trace
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import SimpleExportSpanProcessor
from opentelemetry.sdk.trace.export.in_memory_span_exporter import (
InMemorySpanExporter,
)
except (ImportError, AttributeError): # pragma: NO COVER
opentelemetry = None
try:
import pyarrow
except (ImportError, AttributeError): # pragma: NO COVER
pyarrow = None
import google.api_core.exceptions
from google.api_core import client_info
import google.cloud._helpers
from google.cloud import bigquery_v2
from google.cloud.bigquery.dataset import DatasetReference
try:
from google.cloud import bigquery_storage
except (ImportError, AttributeError): # pragma: NO COVER
bigquery_storage = None
from test_utils.imports import maybe_fail_import
from tests.unit.helpers import make_connection
PANDAS_MINIUM_VERSION = pkg_resources.parse_version("1.0.0")
PANDAS_INSTALLED_VERSION = pkg_resources.get_distribution("pandas").parsed_version
def _make_credentials():
import google.auth.credentials
return mock.Mock(spec=google.auth.credentials.Credentials)
def _make_list_partitons_meta_info(project, dataset_id, table_id, num_rows=0):
return {
"tableReference": {
"projectId": project,
"datasetId": dataset_id,
"tableId": "{}$__PARTITIONS_SUMMARY__".format(table_id),
},
"schema": {
"fields": [
{"name": "project_id", "type": "STRING", "mode": "NULLABLE"},
{"name": "dataset_id", "type": "STRING", "mode": "NULLABLE"},
{"name": "table_id", "type": "STRING", "mode": "NULLABLE"},
{"name": "partition_id", "type": "STRING", "mode": "NULLABLE"},
]
},
"etag": "ETAG",
"numRows": num_rows,
}
class TestClient(unittest.TestCase):
PROJECT = "PROJECT"
DS_ID = "DATASET_ID"
TABLE_ID = "TABLE_ID"
MODEL_ID = "MODEL_ID"
TABLE_REF = DatasetReference(PROJECT, DS_ID).table(TABLE_ID)
KMS_KEY_NAME = "projects/1/locations/us/keyRings/1/cryptoKeys/1"
LOCATION = "us-central"
@staticmethod
def _get_target_class():
from google.cloud.bigquery.client import Client
return Client
def _make_one(self, *args, **kw):
return self._get_target_class()(*args, **kw)
def _make_table_resource(self):
return {
"id": "%s:%s:%s" % (self.PROJECT, self.DS_ID, self.TABLE_ID),
"tableReference": {
"projectId": self.PROJECT,
"datasetId": self.DS_ID,
"tableId": self.TABLE_ID,
},
}
def test_ctor_defaults(self):
from google.cloud.bigquery._http import Connection
creds = _make_credentials()
http = object()
client = self._make_one(project=self.PROJECT, credentials=creds, _http=http)
self.assertIsInstance(client._connection, Connection)
self.assertIs(client._connection.credentials, creds)
self.assertIs(client._connection.http, http)
self.assertIsNone(client.location)
self.assertEqual(
client._connection.API_BASE_URL, Connection.DEFAULT_API_ENDPOINT
)
def test_ctor_w_empty_client_options(self):
from google.api_core.client_options import ClientOptions
creds = _make_credentials()
http = object()
client_options = ClientOptions()
client = self._make_one(
project=self.PROJECT,
credentials=creds,
_http=http,
client_options=client_options,
)
self.assertEqual(
client._connection.API_BASE_URL, client._connection.DEFAULT_API_ENDPOINT
)
def test_ctor_w_client_options_dict(self):
creds = _make_credentials()
http = object()
client_options = {"api_endpoint": "https://www.foo-googleapis.com"}
client = self._make_one(
project=self.PROJECT,
credentials=creds,
_http=http,
client_options=client_options,
)
self.assertEqual(
client._connection.API_BASE_URL, "https://www.foo-googleapis.com"
)
def test_ctor_w_client_options_object(self):
from google.api_core.client_options import ClientOptions
creds = _make_credentials()
http = object()
client_options = ClientOptions(api_endpoint="https://www.foo-googleapis.com")
client = self._make_one(
project=self.PROJECT,
credentials=creds,
_http=http,
client_options=client_options,
)
self.assertEqual(
client._connection.API_BASE_URL, "https://www.foo-googleapis.com"
)
def test_ctor_w_location(self):
from google.cloud.bigquery._http import Connection
creds = _make_credentials()
http = object()
location = "us-central"
client = self._make_one(
project=self.PROJECT, credentials=creds, _http=http, location=location
)
self.assertIsInstance(client._connection, Connection)
self.assertIs(client._connection.credentials, creds)
self.assertIs(client._connection.http, http)
self.assertEqual(client.location, location)
def test_ctor_w_query_job_config(self):
from google.cloud.bigquery._http import Connection
from google.cloud.bigquery import QueryJobConfig
creds = _make_credentials()
http = object()
location = "us-central"
job_config = QueryJobConfig()
job_config.dry_run = True
client = self._make_one(
project=self.PROJECT,
credentials=creds,
_http=http,
location=location,
default_query_job_config=job_config,
)
self.assertIsInstance(client._connection, Connection)
self.assertIs(client._connection.credentials, creds)
self.assertIs(client._connection.http, http)
self.assertEqual(client.location, location)
self.assertIsInstance(client._default_query_job_config, QueryJobConfig)
self.assertTrue(client._default_query_job_config.dry_run)
def test__call_api_applying_custom_retry_on_timeout(self):
from concurrent.futures import TimeoutError
from google.cloud.bigquery.retry import DEFAULT_RETRY
creds = _make_credentials()
client = self._make_one(project=self.PROJECT, credentials=creds)
api_request_patcher = mock.patch.object(
client._connection, "api_request", side_effect=[TimeoutError, "result"],
)
retry = DEFAULT_RETRY.with_deadline(1).with_predicate(
lambda exc: isinstance(exc, TimeoutError)
)
with api_request_patcher as fake_api_request:
result = client._call_api(retry, foo="bar")
self.assertEqual(result, "result")
self.assertEqual(
fake_api_request.call_args_list,
[mock.call(foo="bar"), mock.call(foo="bar")], # was retried once
)
def test__call_api_span_creator_not_called(self):
from concurrent.futures import TimeoutError
from google.cloud.bigquery.retry import DEFAULT_RETRY
creds = _make_credentials()
client = self._make_one(project=self.PROJECT, credentials=creds)
api_request_patcher = mock.patch.object(
client._connection, "api_request", side_effect=[TimeoutError, "result"],
)
retry = DEFAULT_RETRY.with_deadline(1).with_predicate(
lambda exc: isinstance(exc, TimeoutError)
)
with api_request_patcher:
with mock.patch(
"google.cloud.bigquery.opentelemetry_tracing._get_final_span_attributes"
) as final_attributes:
client._call_api(retry)
final_attributes.assert_not_called()
def test__call_api_span_creator_called(self):
from concurrent.futures import TimeoutError
from google.cloud.bigquery.retry import DEFAULT_RETRY
creds = _make_credentials()
client = self._make_one(project=self.PROJECT, credentials=creds)
api_request_patcher = mock.patch.object(
client._connection, "api_request", side_effect=[TimeoutError, "result"],
)
retry = DEFAULT_RETRY.with_deadline(1).with_predicate(
lambda exc: isinstance(exc, TimeoutError)
)
with api_request_patcher:
with mock.patch(
"google.cloud.bigquery.opentelemetry_tracing._get_final_span_attributes"
) as final_attributes:
client._call_api(
retry,
span_name="test_name",
span_attributes={"test_attribute": "test_attribute-value"},
)
final_attributes.assert_called_once()
def test__get_query_results_miss_w_explicit_project_and_timeout(self):
from google.cloud.exceptions import NotFound
creds = _make_credentials()
client = self._make_one(self.PROJECT, creds)
conn = client._connection = make_connection()
path = "/projects/other-project/queries/nothere"
with self.assertRaises(NotFound):
with mock.patch(
"google.cloud.bigquery.opentelemetry_tracing._get_final_span_attributes"
) as final_attributes:
client._get_query_results(
"nothere",
None,
project="other-project",
location=self.LOCATION,
timeout_ms=500,
timeout=42,
)
final_attributes.assert_called_once_with({"path": path}, client, None)
conn.api_request.assert_called_once_with(
method="GET",
path=path,
query_params={"maxResults": 0, "timeoutMs": 500, "location": self.LOCATION},
timeout=42,
)
def test__get_query_results_miss_w_client_location(self):
from google.cloud.exceptions import NotFound
creds = _make_credentials()
client = self._make_one(self.PROJECT, creds, location=self.LOCATION)
conn = client._connection = make_connection()
with self.assertRaises(NotFound):
client._get_query_results("nothere", None)
conn.api_request.assert_called_once_with(
method="GET",
path="/projects/PROJECT/queries/nothere",
query_params={"maxResults": 0, "location": self.LOCATION},
timeout=None,
)
def test__get_query_results_hit(self):
job_id = "query_job"
data = {
"kind": "bigquery#getQueryResultsResponse",
"etag": "some-tag",
"schema": {
"fields": [
{"name": "title", "type": "STRING", "mode": "NULLABLE"},
{"name": "unique_words", "type": "INTEGER", "mode": "NULLABLE"},
]
},
"jobReference": {"projectId": self.PROJECT, "jobId": job_id},
"totalRows": "10",
"totalBytesProcessed": "2464625",
"jobComplete": True,
"cacheHit": False,
}
creds = _make_credentials()
client = self._make_one(self.PROJECT, creds)
client._connection = make_connection(data)
query_results = client._get_query_results(job_id, None)
self.assertEqual(query_results.total_rows, 10)
self.assertTrue(query_results.complete)
def test_get_service_account_email(self):
path = "/projects/%s/serviceAccount" % (self.PROJECT,)
creds = _make_credentials()
http = object()
client = self._make_one(project=self.PROJECT, credentials=creds, _http=http)
email = "bq-123@bigquery-encryption.iam.gserviceaccount.com"
resource = {"kind": "bigquery#getServiceAccountResponse", "email": email}
conn = client._connection = make_connection(resource)
with mock.patch(
"google.cloud.bigquery.opentelemetry_tracing._get_final_span_attributes"
) as final_attributes:
service_account_email = client.get_service_account_email(timeout=7.5)
final_attributes.assert_called_once_with({"path": path}, client, None)
conn.api_request.assert_called_once_with(method="GET", path=path, timeout=7.5)
self.assertEqual(service_account_email, email)
def test_get_service_account_email_w_alternate_project(self):
project = "my-alternate-project"
path = "/projects/%s/serviceAccount" % (project,)
creds = _make_credentials()
http = object()
client = self._make_one(project=self.PROJECT, credentials=creds, _http=http)
email = "bq-123@bigquery-encryption.iam.gserviceaccount.com"
resource = {"kind": "bigquery#getServiceAccountResponse", "email": email}
conn = client._connection = make_connection(resource)
with mock.patch(
"google.cloud.bigquery.opentelemetry_tracing._get_final_span_attributes"
) as final_attributes:
service_account_email = client.get_service_account_email(project=project)
final_attributes.assert_called_once_with({"path": path}, client, None)
conn.api_request.assert_called_once_with(method="GET", path=path, timeout=None)
self.assertEqual(service_account_email, email)
def test_get_service_account_email_w_custom_retry(self):
from google.cloud.bigquery.retry import DEFAULT_RETRY
api_path = "/projects/{}/serviceAccount".format(self.PROJECT)
creds = _make_credentials()
http = object()
client = self._make_one(project=self.PROJECT, credentials=creds, _http=http)
resource = {
"kind": "bigquery#getServiceAccountResponse",
"email": "bq-123@bigquery-encryption.iam.gserviceaccount.com",
}
api_request_patcher = mock.patch.object(
client._connection, "api_request", side_effect=[ValueError, resource],
)
retry = DEFAULT_RETRY.with_deadline(1).with_predicate(
lambda exc: isinstance(exc, ValueError)
)
with api_request_patcher as fake_api_request:
with mock.patch(
"google.cloud.bigquery.opentelemetry_tracing._get_final_span_attributes"
) as final_attributes:
service_account_email = client.get_service_account_email(
retry=retry, timeout=7.5
)
final_attributes.assert_called_once_with({"path": api_path}, client, None)
self.assertEqual(
service_account_email, "bq-123@bigquery-encryption.iam.gserviceaccount.com"
)
self.assertEqual(
fake_api_request.call_args_list,
[
mock.call(method="GET", path=api_path, timeout=7.5),
mock.call(method="GET", path=api_path, timeout=7.5), # was retried once
],
)
def test_list_projects_defaults(self):
from google.cloud.bigquery.client import Project
PROJECT_1 = "PROJECT_ONE"
PROJECT_2 = "PROJECT_TWO"
TOKEN = "TOKEN"
DATA = {
"nextPageToken": TOKEN,
"projects": [
{
"kind": "bigquery#project",
"id": PROJECT_1,
"numericId": 1,
"projectReference": {"projectId": PROJECT_1},
"friendlyName": "One",
},
{
"kind": "bigquery#project",
"id": PROJECT_2,
"numericId": 2,
"projectReference": {"projectId": PROJECT_2},
"friendlyName": "Two",
},
],
}
creds = _make_credentials()
client = self._make_one(PROJECT_1, creds)
conn = client._connection = make_connection(DATA)
iterator = client.list_projects()
with mock.patch(
"google.cloud.bigquery.opentelemetry_tracing._get_final_span_attributes"
) as final_attributes:
page = six.next(iterator.pages)
final_attributes.assert_called_once_with({"path": "/projects"}, client, None)
projects = list(page)
token = iterator.next_page_token
self.assertEqual(len(projects), len(DATA["projects"]))
for found, expected in zip(projects, DATA["projects"]):
self.assertIsInstance(found, Project)
self.assertEqual(found.project_id, expected["id"])
self.assertEqual(found.numeric_id, expected["numericId"])
self.assertEqual(found.friendly_name, expected["friendlyName"])
self.assertEqual(token, TOKEN)
conn.api_request.assert_called_once_with(
method="GET", path="/projects", query_params={}, timeout=None
)
def test_list_projects_w_timeout(self):
PROJECT_1 = "PROJECT_ONE"
TOKEN = "TOKEN"
DATA = {
"nextPageToken": TOKEN,
"projects": [],
}
creds = _make_credentials()
client = self._make_one(PROJECT_1, creds)
conn = client._connection = make_connection(DATA)
iterator = client.list_projects(timeout=7.5)
with mock.patch(
"google.cloud.bigquery.opentelemetry_tracing._get_final_span_attributes"
) as final_attributes:
six.next(iterator.pages)
final_attributes.assert_called_once_with({"path": "/projects"}, client, None)
conn.api_request.assert_called_once_with(
method="GET", path="/projects", query_params={}, timeout=7.5
)
def test_list_projects_explicit_response_missing_projects_key(self):
TOKEN = "TOKEN"
DATA = {}
creds = _make_credentials()
client = self._make_one(self.PROJECT, creds)
conn = client._connection = make_connection(DATA)
iterator = client.list_projects(max_results=3, page_token=TOKEN)
with mock.patch(
"google.cloud.bigquery.opentelemetry_tracing._get_final_span_attributes"
) as final_attributes:
page = six.next(iterator.pages)
final_attributes.assert_called_once_with({"path": "/projects"}, client, None)
projects = list(page)
token = iterator.next_page_token
self.assertEqual(len(projects), 0)
self.assertIsNone(token)
conn.api_request.assert_called_once_with(
method="GET",
path="/projects",
query_params={"maxResults": 3, "pageToken": TOKEN},
timeout=None,
)
def test_list_datasets_defaults(self):
from google.cloud.bigquery.dataset import DatasetListItem
DATASET_1 = "dataset_one"
DATASET_2 = "dataset_two"
PATH = "projects/%s/datasets" % self.PROJECT
TOKEN = "TOKEN"
DATA = {
"nextPageToken": TOKEN,
"datasets": [
{
"kind": "bigquery#dataset",
"id": "%s:%s" % (self.PROJECT, DATASET_1),
"datasetReference": {
"datasetId": DATASET_1,
"projectId": self.PROJECT,
},
"friendlyName": None,
},
{
"kind": "bigquery#dataset",
"id": "%s:%s" % (self.PROJECT, DATASET_2),
"datasetReference": {
"datasetId": DATASET_2,
"projectId": self.PROJECT,
},
"friendlyName": "Two",
},
],
}
creds = _make_credentials()
client = self._make_one(self.PROJECT, creds)
conn = client._connection = make_connection(DATA)
iterator = client.list_datasets()
with mock.patch(
"google.cloud.bigquery.opentelemetry_tracing._get_final_span_attributes"
) as final_attributes:
page = six.next(iterator.pages)
final_attributes.assert_called_once_with({"path": "/%s" % PATH}, client, None)
datasets = list(page)
token = iterator.next_page_token
self.assertEqual(len(datasets), len(DATA["datasets"]))
for found, expected in zip(datasets, DATA["datasets"]):
self.assertIsInstance(found, DatasetListItem)
self.assertEqual(found.full_dataset_id, expected["id"])
self.assertEqual(found.friendly_name, expected["friendlyName"])
self.assertEqual(token, TOKEN)
conn.api_request.assert_called_once_with(
method="GET", path="/%s" % PATH, query_params={}, timeout=None
)
def test_list_datasets_w_project_and_timeout(self):
creds = _make_credentials()
client = self._make_one(self.PROJECT, creds)
conn = client._connection = make_connection({})
with mock.patch(
"google.cloud.bigquery.opentelemetry_tracing._get_final_span_attributes"
) as final_attributes:
list(client.list_datasets(project="other-project", timeout=7.5))
final_attributes.assert_called_once_with(
{"path": "/projects/other-project/datasets"}, client, None
)
conn.api_request.assert_called_once_with(
method="GET",
path="/projects/other-project/datasets",
query_params={},
timeout=7.5,
)
def test_list_datasets_explicit_response_missing_datasets_key(self):
PATH = "projects/%s/datasets" % self.PROJECT
TOKEN = "TOKEN"
FILTER = "FILTER"
DATA = {}
creds = _make_credentials()
client = self._make_one(self.PROJECT, creds)
conn = client._connection = make_connection(DATA)
iterator = client.list_datasets(
include_all=True, filter=FILTER, max_results=3, page_token=TOKEN
)
with mock.patch(
"google.cloud.bigquery.opentelemetry_tracing._get_final_span_attributes"
) as final_attributes:
page = six.next(iterator.pages)
final_attributes.assert_called_once_with({"path": "/%s" % PATH}, client, None)
datasets = list(page)
token = iterator.next_page_token
self.assertEqual(len(datasets), 0)
self.assertIsNone(token)
conn.api_request.assert_called_once_with(
method="GET",
path="/%s" % PATH,
query_params={
"all": True,
"filter": FILTER,
"maxResults": 3,
"pageToken": TOKEN,
},
timeout=None,
)
def test_dataset_with_specified_project(self):
from google.cloud.bigquery.dataset import DatasetReference
creds = _make_credentials()
http = object()
client = self._make_one(project=self.PROJECT, credentials=creds, _http=http)
catch_warnings = warnings.catch_warnings(record=True)
with catch_warnings as warned:
dataset = client.dataset(self.DS_ID, self.PROJECT)
matches = [
warning
for warning in warned
if warning.category in (DeprecationWarning, PendingDeprecationWarning)
and "Client.dataset" in str(warning)
and "my_project.my_dataset" in str(warning)
]
assert matches, "A Client.dataset deprecation warning was not raised."
self.assertIsInstance(dataset, DatasetReference)
self.assertEqual(dataset.dataset_id, self.DS_ID)
self.assertEqual(dataset.project, self.PROJECT)
def test_dataset_with_default_project(self):
from google.cloud.bigquery.dataset import DatasetReference
creds = _make_credentials()
http = object()
client = self._make_one(project=self.PROJECT, credentials=creds, _http=http)
catch_warnings = warnings.catch_warnings(record=True)
with catch_warnings as warned:
dataset = client.dataset(self.DS_ID)
matches = [
warning
for warning in warned
if warning.category in (DeprecationWarning, PendingDeprecationWarning)
and "Client.dataset" in str(warning)
and "my_project.my_dataset" in str(warning)
]
assert matches, "A Client.dataset deprecation warning was not raised."
self.assertIsInstance(dataset, DatasetReference)
self.assertEqual(dataset.dataset_id, self.DS_ID)
self.assertEqual(dataset.project, self.PROJECT)
def test_get_dataset(self):
from google.cloud.exceptions import ServerError
path = "projects/%s/datasets/%s" % (self.PROJECT, self.DS_ID)
creds = _make_credentials()
http = object()
client = self._make_one(project=self.PROJECT, credentials=creds, _http=http)
resource = {
"id": "%s:%s" % (self.PROJECT, self.DS_ID),
"datasetReference": {"projectId": self.PROJECT, "datasetId": self.DS_ID},
}
conn = client._connection = make_connection(resource)
dataset_ref = DatasetReference(self.PROJECT, self.DS_ID)
with mock.patch(
"google.cloud.bigquery.opentelemetry_tracing._get_final_span_attributes"
) as final_attributes:
dataset = client.get_dataset(dataset_ref, timeout=7.5)
final_attributes.assert_called_once_with({"path": "/%s" % path}, client, None)
conn.api_request.assert_called_once_with(
method="GET", path="/%s" % path, timeout=7.5
)
self.assertEqual(dataset.dataset_id, self.DS_ID)
# Test retry.
# Not a cloud API exception (missing 'errors' field).
client._connection = make_connection(Exception(""), resource)
with self.assertRaises(Exception):
with mock.patch(
"google.cloud.bigquery.opentelemetry_tracing._get_final_span_attributes"
) as final_attributes:
client.get_dataset(dataset_ref)
final_attributes.assert_called_once_with({"path": "/%s" % path}, client, None)
# Zero-length errors field.
client._connection = make_connection(ServerError(""), resource)
with self.assertRaises(ServerError):
with mock.patch(
"google.cloud.bigquery.opentelemetry_tracing._get_final_span_attributes"
) as final_attributes:
client.get_dataset(dataset_ref)
final_attributes.assert_called_once_with({"path": "/%s" % path}, client, None)
# Non-retryable reason.
client._connection = make_connection(
ServerError("", errors=[{"reason": "serious"}]), resource
)
with self.assertRaises(ServerError):
with mock.patch(
"google.cloud.bigquery.opentelemetry_tracing._get_final_span_attributes"
) as final_attributes:
client.get_dataset(dataset_ref)
final_attributes.assert_called_once_with({"path": "/%s" % path}, client, None)
# Retryable reason, but retry is disabled.
client._connection = make_connection(
ServerError("", errors=[{"reason": "backendError"}]), resource
)
with self.assertRaises(ServerError):
with mock.patch(
"google.cloud.bigquery.opentelemetry_tracing._get_final_span_attributes"
) as final_attributes:
client.get_dataset(dataset_ref, retry=None)
final_attributes.assert_called_once_with({"path": "/%s" % path}, client, None)
# Retryable reason, default retry: success.
client._connection = make_connection(
ServerError("", errors=[{"reason": "backendError"}]), resource
)
with mock.patch(
"google.cloud.bigquery.opentelemetry_tracing._get_final_span_attributes"
) as final_attributes:
dataset = client.get_dataset(
# Test with a string for dataset ID.
dataset_ref.dataset_id
)
final_attributes.assert_called_once_with({"path": "/%s" % path}, client, None)
self.assertEqual(dataset.dataset_id, self.DS_ID)
@unittest.skipIf(
bigquery_storage is None, "Requires `google-cloud-bigquery-storage`"
)
def test_create_bqstorage_client(self):
mock_client = mock.create_autospec(bigquery_storage.BigQueryReadClient)
mock_client_instance = object()
mock_client.return_value = mock_client_instance
creds = _make_credentials()
client = self._make_one(project=self.PROJECT, credentials=creds)
with mock.patch(
"google.cloud.bigquery_storage.BigQueryReadClient", mock_client
):
bqstorage_client = client._create_bqstorage_client()
self.assertIs(bqstorage_client, mock_client_instance)
mock_client.assert_called_once_with(credentials=creds)
def test_create_bqstorage_client_missing_dependency(self):
creds = _make_credentials()
client = self._make_one(project=self.PROJECT, credentials=creds)
def fail_bqstorage_import(name, globals, locals, fromlist, level):
# NOTE: *very* simplified, assuming a straightforward absolute import
return "bigquery_storage" in name or (
fromlist is not None and "bigquery_storage" in fromlist
)
no_bqstorage = maybe_fail_import(predicate=fail_bqstorage_import)
with no_bqstorage, warnings.catch_warnings(record=True) as warned:
bqstorage_client = client._create_bqstorage_client()
self.assertIsNone(bqstorage_client)
matching_warnings = [
warning
for warning in warned
if "not installed" in str(warning)
and "google-cloud-bigquery-storage" in str(warning)
]
assert matching_warnings, "Missing dependency warning not raised."
def test_create_dataset_minimal(self):
from google.cloud.bigquery.dataset import Dataset
PATH = "projects/%s/datasets" % self.PROJECT
RESOURCE = {
"datasetReference": {"projectId": self.PROJECT, "datasetId": self.DS_ID},
"etag": "etag",
"id": "%s:%s" % (self.PROJECT, self.DS_ID),
}
creds = _make_credentials()
client = self._make_one(project=self.PROJECT, credentials=creds)
conn = client._connection = make_connection(RESOURCE)
ds_ref = DatasetReference(self.PROJECT, self.DS_ID)
before = Dataset(ds_ref)
with mock.patch(
"google.cloud.bigquery.opentelemetry_tracing._get_final_span_attributes"
) as final_attributes:
after = client.create_dataset(before, timeout=7.5)
final_attributes.assert_called_once_with({"path": "/%s" % PATH}, client, None)
self.assertEqual(after.dataset_id, self.DS_ID)
self.assertEqual(after.project, self.PROJECT)
self.assertEqual(after.etag, RESOURCE["etag"])
self.assertEqual(after.full_dataset_id, RESOURCE["id"])
conn.api_request.assert_called_once_with(
method="POST",
path="/%s" % PATH,
data={
"datasetReference": {
"projectId": self.PROJECT,
"datasetId": self.DS_ID,
},
"labels": {},
},
timeout=7.5,
)
def test_create_dataset_w_attrs(self):
from google.cloud.bigquery.dataset import Dataset, AccessEntry
PATH = "projects/%s/datasets" % self.PROJECT
DESCRIPTION = "DESC"
FRIENDLY_NAME = "FN"
LOCATION = "US"
USER_EMAIL = "phred@example.com"
LABELS = {"color": "red"}
VIEW = {
"projectId": "my-proj",
"datasetId": "starry-skies",
"tableId": "northern-hemisphere",
}
RESOURCE = {
"datasetReference": {"projectId": self.PROJECT, "datasetId": self.DS_ID},
"etag": "etag",
"id": "%s:%s" % (self.PROJECT, self.DS_ID),
"description": DESCRIPTION,
"friendlyName": FRIENDLY_NAME,
"location": LOCATION,
"defaultTableExpirationMs": "3600",
"labels": LABELS,
"access": [{"role": "OWNER", "userByEmail": USER_EMAIL}, {"view": VIEW}],
}
creds = _make_credentials()
client = self._make_one(project=self.PROJECT, credentials=creds)
conn = client._connection = make_connection(RESOURCE)
entries = [
AccessEntry("OWNER", "userByEmail", USER_EMAIL),
AccessEntry(None, "view", VIEW),
]
ds_ref = DatasetReference(self.PROJECT, self.DS_ID)
before = Dataset(ds_ref)
before.access_entries = entries
before.description = DESCRIPTION
before.friendly_name = FRIENDLY_NAME
before.default_table_expiration_ms = 3600
before.location = LOCATION
before.labels = LABELS
with mock.patch(
"google.cloud.bigquery.opentelemetry_tracing._get_final_span_attributes"
) as final_attributes:
after = client.create_dataset(before)
final_attributes.assert_called_once_with({"path": "/%s" % PATH}, client, None)
self.assertEqual(after.dataset_id, self.DS_ID)
self.assertEqual(after.project, self.PROJECT)
self.assertEqual(after.etag, RESOURCE["etag"])
self.assertEqual(after.full_dataset_id, RESOURCE["id"])
self.assertEqual(after.description, DESCRIPTION)
self.assertEqual(after.friendly_name, FRIENDLY_NAME)
self.assertEqual(after.location, LOCATION)
self.assertEqual(after.default_table_expiration_ms, 3600)
self.assertEqual(after.labels, LABELS)
conn.api_request.assert_called_once_with(
method="POST",
path="/%s" % PATH,
data={
"datasetReference": {
"projectId": self.PROJECT,
"datasetId": self.DS_ID,
},
"description": DESCRIPTION,
"friendlyName": FRIENDLY_NAME,
"location": LOCATION,
"defaultTableExpirationMs": "3600",
"access": [
{"role": "OWNER", "userByEmail": USER_EMAIL},
{"view": VIEW},
],
"labels": LABELS,
},
timeout=None,
)
def test_create_dataset_w_custom_property(self):
# The library should handle sending properties to the API that are not
# yet part of the library
from google.cloud.bigquery.dataset import Dataset
path = "/projects/%s/datasets" % self.PROJECT
resource = {
"datasetReference": {"projectId": self.PROJECT, "datasetId": self.DS_ID},
"newAlphaProperty": "unreleased property",
}
creds = _make_credentials()
client = self._make_one(project=self.PROJECT, credentials=creds)
conn = client._connection = make_connection(resource)
ds_ref = DatasetReference(self.PROJECT, self.DS_ID)
before = Dataset(ds_ref)
before._properties["newAlphaProperty"] = "unreleased property"
with mock.patch(
"google.cloud.bigquery.opentelemetry_tracing._get_final_span_attributes"
) as final_attributes:
after = client.create_dataset(before)
final_attributes.assert_called_once_with({"path": path}, client, None)
self.assertEqual(after.dataset_id, self.DS_ID)
self.assertEqual(after.project, self.PROJECT)
self.assertEqual(after._properties["newAlphaProperty"], "unreleased property")
conn.api_request.assert_called_once_with(
method="POST",
path=path,
data={
"datasetReference": {
"projectId": self.PROJECT,
"datasetId": self.DS_ID,
},
"newAlphaProperty": "unreleased property",
"labels": {},
},
timeout=None,
)
def test_create_dataset_w_client_location_wo_dataset_location(self):
from google.cloud.bigquery.dataset import Dataset
PATH = "projects/%s/datasets" % self.PROJECT
RESOURCE = {
"datasetReference": {"projectId": self.PROJECT, "datasetId": self.DS_ID},