def test_nrel_pv_rooftops_aspects():
# config
config = AWSDataLakeConfig(config_file=TEST_CONFIG_FILE)
database_name = config.pv_rooftops_db_name
table_name = "pv_rooftop_aspects"
# Partitions
glue = OEDIGlue(region_name=config.region_name)
partition_keys = glue.get_partition_keys(database_name,
table_name,
with_pandas=False)
assert len(partition_keys) == 1
assert partition_keys[0]["Name"] == "city_year"
partition_values = glue.get_partition_values(database_name, table_name)
if "__HIVE_DEFAULT_PARTITION__" in partition_values:
partition_values.remove("__HIVE_DEFAULT_PARTITION__")
assert len(partition_values) == 168
# Query
athena = OEDIAthena(staging_location=config.staging_location,
region_name=config.region_name)
sql = f"SELECT COUNT(*) FROM {database_name}.{table_name} WHERE city_year='augusta_me_08';"
result = athena.run_query(query_string=sql, pandas_cursor=False)
assert result[0][0] == 197547
sql = f"SELECT * FROM {database_name}.{table_name} WHERE city_year='augusta_me_08' AND gid=53283;"
df = athena.run_query(query_string=sql, pandas_cursor=True)
assert df.shape == (1, 9)
assert df["aspect"].values[0] == 7
def test_lbnl_tracking_the_sun_2019():
# config
config = AWSDataLakeConfig(config_file=TEST_CONFIG_FILE)
database_name = config.tracking_the_sun_db_name
table_name = "tracking_the_sun_2019"
# Partitions
glue = OEDIGlue(region_name=config.region_name)
partition_keys = glue.get_partition_keys(database_name,
table_name,
with_pandas=False)
assert len(partition_keys) == 1
assert partition_keys[0]["Name"] == "state"
partition_values = glue.get_partition_values(database_name, table_name)
if "__HIVE_DEFAULT_PARTITION__" in partition_values:
partition_values.remove("__HIVE_DEFAULT_PARTITION__")
assert len(partition_values) == 28
# Query
athena = OEDIAthena(staging_location=config.staging_location,
region_name=config.region_name)
sql = f"SELECT COUNT(*) FROM {database_name}.{table_name} WHERE state='CO';"
result = athena.run_query(query_string=sql, pandas_cursor=False)
assert result[0][0] == 93930
sql = f"SELECT * FROM {database_name}.{table_name} WHERE state='CO' AND system_id_from_first_data_provider='SRO00164';"
df = athena.run_query(query_string=sql, pandas_cursor=True)
assert df.shape == (2, 60)
assert pytest.approx(df["total_installed_price"].values[0]) == 22504.46
def test_nrel_pv_rooftops_rasd():
# config
config = AWSDataLakeConfig(config_file=TEST_CONFIG_FILE)
database_name = config.pv_rooftops_db_name
table_name = "pv_rooftop_rasd"
# Partitions
glue = OEDIGlue(region_name=config.region_name)
partition_keys = glue.get_partition_keys(database_name,
table_name,
with_pandas=False)
assert len(partition_keys) == 1
assert partition_keys[0]["Name"] == "city_year"
partition_values = glue.get_partition_values(database_name, table_name)
if "__HIVE_DEFAULT_PARTITION__" in partition_values:
partition_values.remove("__HIVE_DEFAULT_PARTITION__")
assert len(partition_values) == 166
# Query
athena = OEDIAthena(staging_location=config.staging_location,
region_name=config.region_name)
sql = f"SELECT COUNT(*) FROM {database_name}.{table_name} WHERE city_year='topeka_ks_08';"
result = athena.run_query(query_string=sql, pandas_cursor=False)
assert result[0][0] == 1
sql = f"SELECT * FROM {database_name}.{table_name} WHERE city_year='augusta_me_08'"
df = athena.run_query(query_string=sql, pandas_cursor=True)
assert df.shape == (1, 7)
assert df["the_geom_96703"].values[0].startswith(
"MULTIPOLYGON Z (((2059331.26461854 2664063.99720305 86.4199981689453,"
)
#test_nrel_pv_rooftops_aspects()
def test_nrel_pv_rooftops_buildings():
# config
config = AWSDataLakeConfig(config_file=TEST_CONFIG_FILE)
database_name = config.pv_rooftops_db_name
table_name = "pv_rooftop_buildings"
# Partitions
glue = OEDIGlue(region_name=config.region_name)
partition_keys = glue.get_partition_keys(database_name,
table_name,
with_pandas=False)
assert len(partition_keys) == 1
assert partition_keys[0]["Name"] == "city_year"
partition_values = glue.get_partition_values(database_name, table_name)
if "__HIVE_DEFAULT_PARTITION__" in partition_values:
partition_values.remove("__HIVE_DEFAULT_PARTITION__")
assert len(partition_values) == 168
# Query
athena = OEDIAthena(staging_location=config.staging_location,
region_name=config.region_name)
sql = f"SELECT COUNT(*) FROM {database_name}.{table_name} WHERE city_year='augusta_me_08';"
result = athena.run_query(query_string=sql, pandas_cursor=False)
assert result[0][0] == 17431
sql = f"SELECT * FROM {database_name}.{table_name} WHERE city_year='augusta_me_08' AND gid=16039;"
df = athena.run_query(query_string=sql, pandas_cursor=True)
assert df.shape == (1, 8)
assert df["the_geom_4326"].values[0].startswith(
"MULTIPOLYGON(((-69.7528548573896 44.3860361743938,")
def test_nrel_pv_rooftops_developable_planes():
# config
config = AWSDataLakeConfig(config_file=TEST_CONFIG_FILE)
database_name = config.database_name
table_name = "pv_rooftops_developable_planes"
# Partitions
glue = OEDIGlue(region_name=config.region_name)
partition_keys = glue.get_partition_keys(database_name,
table_name,
with_pandas=False)
assert len(partition_keys) == 1
assert partition_keys[0]["Name"] == "partition_0"
partition_values = glue.get_partition_values(database_name, table_name)
if "__HIVE_DEFAULT_PARTITION__" in partition_values:
partition_values.remove("__HIVE_DEFAULT_PARTITION__")
assert len(partition_values) == 166
# Query
athena = OEDIAthena(staging_location=config.staging_location,
region_name=config.region_name)
sql = f"SELECT COUNT(*) FROM {database_name}.{table_name} WHERE partition_0='topeka_ks_08';"
result = athena.run_query(query_string=sql, pandas_cursor=False)
assert result[0][0] == 537304
sql = f"SELECT * FROM {database_name}.{table_name} WHERE partition_0='augusta_me_08' AND gid=15924;"
df = athena.run_query(query_string=sql, pandas_cursor=True)
assert df.shape == (1, 18)
assert df["slope"].values[0] == 26
def test_oedi_glue__get_partition_keys():
# Setup
client = boto3.client("glue", region_name="us-west-1")
database_name = "test-database"
client.create_database(DatabaseInput={"Name": database_name})
table_name = "test-table"
my_partition_keys = [{
"Name": "state"
}, {
"Name": "city"
}, {
"Name": "zipcode"
}]
table_input = create_table_input(database_name, table_name,
my_partition_keys)
client.create_table(DatabaseName=database_name, TableInput=table_input)
# Test
glue = OEDIGlue()
partition_keys = glue.get_partition_keys(database_name, table_name)
assert len(partition_keys) == 3