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# Copyright 2020 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.
from typing import Dict, Mapping, Optional, Sequence
def insert_wkt(
override_values: Optional[Mapping[str, str]] = None
) -> Sequence[Dict[str, object]]:
if override_values is None:
override_values = {}
# [START bigquery_insert_geography_wkt]
from google.cloud import bigquery
import shapely.geometry
import shapely.wkt
bigquery_client = bigquery.Client()
# This example uses a table containing a column named "geo" with the
# GEOGRAPHY data type.
table_id = "my-project.my_dataset.my_table"
# [END bigquery_insert_geography_wkt]
# To facilitate testing, we replace values with alternatives
# provided by the testing harness.
table_id = override_values.get("table_id", table_id)
# [START bigquery_insert_geography_wkt]
# Use the Shapely library to generate WKT of a line from LAX to
# JFK airports. Alternatively, you may define WKT data directly.
my_geography = shapely.geometry.LineString(
[(-118.4085, 33.9416), (-73.7781, 40.6413)]
)
rows = [
# Convert data into a WKT string.
{"geo": shapely.wkt.dumps(my_geography)},
]
# table already exists and has a column
# named "geo" with data type GEOGRAPHY.
errors = bigquery_client.insert_rows_json(table_id, rows)
if errors:
raise RuntimeError(f"row insert failed: {errors}")
else:
print(f"wrote 1 row to {table_id}")
# [END bigquery_insert_geography_wkt]
return errors
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