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new_york_dag.py
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new_york_dag.py
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# Copyright 2021 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 airflow import DAG
from airflow.providers.google.cloud.operators import kubernetes_engine
default_args = {
"owner": "Google",
"depends_on_past": False,
"start_date": "2021-03-01",
}
with DAG(
dag_id="new_york.new_york",
default_args=default_args,
max_active_runs=1,
schedule_interval="@daily",
catchup=False,
default_view="graph",
) as dag:
create_cluster = kubernetes_engine.GKECreateClusterOperator(
task_id="create_cluster",
project_id="{{ var.value.gcp_project }}",
location="us-central1-c",
body={
"name": "pubds-new-york",
"initial_node_count": 4,
"network": "{{ var.value.vpc_network }}",
"ip_allocation_policy": {"cluster_ipv4_cidr_block": "/26"},
"node_config": {
"machine_type": "e2-standard-16",
"oauth_scopes": [
"https://www.googleapis.com/auth/devstorage.read_write",
"https://www.googleapis.com/auth/cloud-platform",
],
},
},
)
# Run New York 311 Service Requests Pipeline
transform_csv_ny_311_service_requests = kubernetes_engine.GKEStartPodOperator(
task_id="transform_csv_ny_311_service_requests",
name="311_service_requests",
project_id="{{ var.value.gcp_project }}",
location="us-central1-c",
cluster_name="pubds-new-york",
namespace="default",
image_pull_policy="Always",
image="{{ var.json.new_york.container_registry.run_csv_transform_kub_ny_311_service_requests }}",
env_vars={
"PIPELINE_NAME": "{{ var.json.new_york.ny_311_service_requests.pipeline_name }}",
"SOURCE_URL": "{{ var.json.new_york.ny_311_service_requests.source_url }}",
"CHUNKSIZE": "{{ var.json.new_york.ny_311_service_requests.chunksize }}",
"SOURCE_FILE": "files/data_{{ var.json.new_york.ny_311_service_requests.dataset_id }}_{{ var.json.new_york.ny_311_service_requests.destination_table }}.csv",
"TARGET_FILE": "files/data_output_{{ var.json.new_york.ny_311_service_requests.dataset_id }}_{{ var.json.new_york.ny_311_service_requests.destination_table }}.csv",
"PROJECT_ID": "{{ var.value.gcp_project }}",
"DATASET_ID": "{{ var.json.new_york.ny_311_service_requests.dataset_id }}",
"TABLE_ID": "{{ var.json.new_york.ny_311_service_requests.destination_table }}",
"TARGET_GCS_BUCKET": "{{ var.value.composer_bucket }}",
"TARGET_GCS_PATH": "{{ var.json.new_york.ny_311_service_requests.target_path }}",
"SCHEMA_PATH": "{{ var.json.new_york.ny_311_service_requests.schema_path }}",
"DATA_DTYPES": '{\n "Unique Key": "int",\n "Created Date": "str",\n "Closed Date": "str",\n "Agency": "str",\n "Agency Name": "str",\n "Complaint Type": "str",\n "Descriptor": "str",\n "Location Type": "str",\n "Incident Zip": "str",\n "Incident Address": "str",\n "Street Name": "str",\n "Cross Street 1": "str",\n "Cross Street 2": "str",\n "Intersection Street 1": "str",\n "Intersection Street 2": "str",\n "Address Type": "str",\n "City": "str",\n "Landmark": "str",\n "Facility Type": "str",\n "Status": "str",\n "Due Date": "str",\n "Resolution Description": "str",\n "Resolution Action Updated Date": "str",\n "Community Board": "str",\n "BBL": "str",\n "Borough": "str",\n "X Coordinate (State Plane)": "str",\n "Y Coordinate (State Plane)": "str",\n "Open Data Channel Type": "str",\n "Park Facility Name": "str",\n "Park Borough": "str",\n "Vehicle Type": "str",\n "Taxi Company Borough": "str",\n "Taxi Pick Up Location": "str",\n "Bridge Highway Name": "str",\n "Bridge Highway Direction": "str",\n "Road Ramp": "str",\n "Bridge Highway Segment": "str",\n "Latitude": "float64",\n "Longitude": "float64",\n "Location": "str"\n}',
"PARSE_DATES": '[\n "Created Date",\n "Closed Date",\n "Due Date",\n "Resolution Action Updated Date"\n]',
"NULL_ROWS_LIST": '[\n "unique_key"\n]',
"RENAME_HEADERS": '{\n "Unique Key": "unique_key",\n "Created Date": "created_date",\n "Closed Date": "closed_date",\n "Agency": "agency",\n "Agency Name": "agency_name",\n "Complaint Type": "complaint_type",\n "Descriptor": "descriptor",\n "Location Type": "location_type",\n "Incident Zip": "incident_zip",\n "Incident Address": "incident_address",\n "Street Name": "street_name",\n "Cross Street 1": "cross_street_1",\n "Cross Street 2": "cross_street_2",\n "Intersection Street 1": "intersection_street_1",\n "Intersection Street 2": "intersection_street_2",\n "Address Type": "address_type",\n "City": "city",\n "Landmark": "landmark",\n "Facility Type": "facility_type",\n "Status": "status",\n "Due Date": "due_date",\n "Resolution Description": "resolution_description",\n "Resolution Action Updated Date": "resolution_action_updated_date",\n "Community Board": "community_board",\n "Open Data Channel Type": "open_data_channel_type",\n "Borough": "borough",\n "X Coordinate (State Plane)": "x_coordinate",\n "Y Coordinate (State Plane)": "y_coordinate",\n "Park Facility Name": "park_facility_name",\n "Park Borough": "park_borough",\n "Vehicle Type": "vehicle_type",\n "Taxi Company Borough": "taxi_company_borough",\n "Taxi Pick Up Location": "taxi_pickup_location",\n "Bridge Highway Name": "bridge_highway_name",\n "Bridge Highway Direction": "bridge_highway_direction",\n "Road Ramp": "road_ramp",\n "Bridge Highway Segment": "bridge_highway_segment",\n "Latitude": "latitude",\n "Longitude": "longitude",\n "Location": "location",\n "BBL": "bbl"\n}',
"OUTPUT_CSV_HEADERS": '[\n "unique_key",\n "created_date",\n "closed_date",\n "agency",\n "agency_name",\n "complaint_type",\n "descriptor",\n "location_type",\n "incident_zip",\n "incident_address",\n "street_name",\n "cross_street_1",\n "cross_street_2",\n "intersection_street_1",\n "intersection_street_2",\n "address_type",\n "city",\n "landmark",\n "facility_type",\n "status",\n "due_date",\n "resolution_description",\n "resolution_action_updated_date",\n "community_board",\n "borough",\n "x_coordinate",\n "y_coordinate",\n "park_facility_name",\n "park_borough",\n "bbl",\n "open_data_channel_type",\n "vehicle_type",\n "taxi_company_borough",\n "taxi_pickup_location",\n "bridge_highway_name",\n "bridge_highway_direction",\n "road_ramp",\n "bridge_highway_segment",\n "latitude",\n "longitude",\n "location"\n]',
},
resources={"request_ephemeral_storage": "32G", "limit_cpu": "3"},
)
# Run New York Citibike Stations Pipeline
transform_csv_ny_citibike_stations = kubernetes_engine.GKEStartPodOperator(
task_id="transform_csv_ny_citibike_stations",
name="citibike_stations",
project_id="{{ var.value.gcp_project }}",
location="us-central1-c",
cluster_name="pubds-new-york",
namespace="default",
image_pull_policy="Always",
image="{{ var.json.new_york.container_registry.run_csv_transform_kub_citibike_stations }}",
env_vars={
"PIPELINE_NAME": "{{ var.json.new_york.citibike_stations.pipeline_name }}",
"SOURCE_URL_STATIONS_JSON": "{{ var.json.new_york.citibike_stations.source_url_stations }}",
"SOURCE_URL_STATUS_JSON": "{{ var.json.new_york.citibike_stations.source_url_status }}",
"CHUNKSIZE": "{{ var.json.new_york.citibike_stations.chunksize }}",
"SOURCE_FILE": "files/data_{{ var.json.new_york.citibike_stations.dataset_id }}_{{ var.json.new_york.citibike_stations.destination_table }}.csv",
"TARGET_FILE": "files/data_output_{{ var.json.new_york.citibike_stations.dataset_id }}_{{ var.json.new_york.citibike_stations.destination_table }}.csv",
"PROJECT_ID": "{{ var.value.gcp_project }}",
"DATASET_ID": "{{ var.json.new_york.citibike_stations.dataset_id }}",
"TABLE_ID": "{{ var.json.new_york.citibike_stations.destination_table }}",
"TARGET_GCS_BUCKET": "{{ var.value.composer_bucket }}",
"TARGET_GCS_PATH": "{{ var.json.new_york.citibike_stations.target_path }}",
"SCHEMA_PATH": "{{ var.json.new_york.citibike_stations.schema_path }}",
"DATA_DTYPES": '{\n "rental_uris": "str",\n "lat": "float64",\n "eightd_station_services": "str",\n "legacy_id_x": "int64",\n "short_name": "str",\n "external_id": "str",\n "station_id": "int64",\n "rental_methods": "str",\n "station_type": "str",\n "short_name": "str",\n "eightd_has_key_dispenser": "bool",\n "electric_bike_surcharge_waiver": "bool",\n "lon": "float64",\n "has_kiosk": "bool",\n "capacity": "int64",\n "region_id": "int64",\n "is_installed": "bool",\n "num_docks_available": "int64",\n "num_docks_disabled": "int64",\n "num_bikes_disabled": "int64",\n "num_bikes_available": "int64",\n "station_status": "str",\n "last_reported": "int64",\n "eightd_has_available_keys": "bool",\n "num_ebikes_available": "int64",\n "is_returning": "int64",\n "is_renting": "int64",\n "legacy_id_y": "int64",\n "valet": "str",\n "eightd_active_station_services": "str"\n}',
"RENAME_HEADERS_LIST": '{\n "lat": "latitude",\n "lon": "longitude"\n}',
"BOOLEAN_DATAPOINTS": '[\n "eightd_has_key_dispenser",\n "is_installed",\n "is_renting",\n "is_returning"\n]',
"DATETIME_FIELDLIST": '[\n "last_reported"\n]',
"RESOLVE_DATATYPES_LIST": '{\n "station_id": "Int64",\n "region_id": "Int64",\n "rental_methods": "string"\n}',
"NORMALIZE_DATA_LIST": '[\n "rental_methods"\n]',
"INPUT_CSV_HEADERS": '[\n "rental_uris",\n "lat",\n "eightd_station_services",\n "legacy_id_x",\n "short_name",\n "external_id",\n "station_id",\n "rental_methods",\n "station_type",\n "short_name",\n "eightd_has_key_dispenser",\n "electric_bike_surcharge_waiver",\n "lon",\n "has_kiosk",\n "capacity",\n "region_id",\n "is_installed",\n "num_docks_available",\n "num_docks_disabled",\n "num_bikes_disabled",\n "num_bikes_available",\n "station_status",\n "last_reported",\n "eightd_has_available_keys",\n "num_ebikes_available",\n "is_returning",\n "is_renting",\n "legacy_id_y",\n "valet",\n "eightd_active_station_services"\n]',
"OUTPUT_CSV_HEADERS": '[\n "station_id",\n "name",\n "short_name",\n "latitude",\n "longitude",\n "region_id",\n "rental_methods",\n "capacity",\n "eightd_has_key_dispenser",\n "num_bikes_available",\n "num_bikes_disabled",\n "num_docks_available",\n "num_docks_disabled",\n "is_installed",\n "is_renting",\n "is_returning",\n "eightd_has_available_keys",\n "last_reported"\n]',
},
resources={"request_ephemeral_storage": "16G", "limit_cpu": "3"},
)
# Run New York NYPD MV Collisions Pipeline
transform_csv_nypd_mv_collisions = kubernetes_engine.GKEStartPodOperator(
task_id="transform_csv_nypd_mv_collisions",
name="nypd_mv_collisions",
project_id="{{ var.value.gcp_project }}",
location="us-central1-c",
cluster_name="pubds-new-york",
namespace="default",
image_pull_policy="Always",
image="{{ var.json.new_york.container_registry.run_csv_transform_kub_nypd_mv_collisions }}",
env_vars={
"PIPELINE_NAME": "{{ var.json.new_york.nypd_mv_collisions.pipeline_name }}",
"SOURCE_URL": "{{ var.json.new_york.nypd_mv_collisions.source_url }}",
"CHUNKSIZE": "{{ var.json.new_york.nypd_mv_collisions.chunksize }}",
"SOURCE_FILE": "files/data_{{ var.json.new_york.nypd_mv_collisions.dataset_id }}_{{ var.json.new_york.nypd_mv_collisions.destination_table }}.csv",
"TARGET_FILE": "files/data_output_{{ var.json.new_york.nypd_mv_collisions.dataset_id }}_{{ var.json.new_york.nypd_mv_collisions.destination_table }}.csv",
"PROJECT_ID": "{{ var.value.gcp_project }}",
"DATASET_ID": "{{ var.json.new_york.nypd_mv_collisions.dataset_id }}",
"TABLE_ID": "{{ var.json.new_york.nypd_mv_collisions.destination_table }}",
"TARGET_GCS_BUCKET": "{{ var.value.composer_bucket }}",
"TARGET_GCS_PATH": "{{ var.json.new_york.nypd_mv_collisions.target_path }}",
"SCHEMA_PATH": "{{ var.json.new_york.nypd_mv_collisions.schema_path }}",
"DATA_DTYPES": '{\n "CRASH DATE": "str",\n "CRASH TIME": "str",\n "BOROUGH": "str",\n "ZIP CODE": "str",\n "LATITUDE": "float64",\n "LONGITUDE": "float64",\n "LOCATION": "str",\n "ON STREET NAME": "str",\n "CROSS STREET NAME": "str",\n "OFF STREET NAME": "str",\n "NUMBER OF PERSONS INJURED": "str",\n "NUMBER OF PERSONS KILLED" : "str",\n "NUMBER OF PEDESTRIANS INJURED" : "str",\n "NUMBER OF PEDESTRIANS KILLED" : "str",\n "NUMBER OF CYCLIST INJURED" : "str",\n "NUMBER OF CYCLIST KILLED" : "str",\n "NUMBER OF MOTORIST INJURED" : "str",\n "NUMBER OF MOTORIST KILLED" : "str",\n "CONTRIBUTING FACTOR VEHICLE 1" : "str",\n "CONTRIBUTING FACTOR VEHICLE 2" : "str",\n "CONTRIBUTING FACTOR VEHICLE 3" : "str",\n "CONTRIBUTING FACTOR VEHICLE 4" : "str",\n "CONTRIBUTING FACTOR VEHICLE 5" : "str",\n "COLLISION_ID": "int64",\n "VEHICLE TYPE CODE 1" : "str",\n "VEHICLE TYPE CODE 2" : "str",\n "VEHICLE TYPE CODE 3" : "str",\n "VEHICLE TYPE CODE 4" : "str",\n "VEHICLE TYPE CODE 5": "str"\n}',
"RESOLVE_DATATYPES_LIST": '{\n "latitude": "float64",\n "longitude": "float64",\n "number_of_cyclist_injured": "int64",\n "number_of_cyclist_killed": "int64",\n "number_of_motorist_injured": "int64",\n "number_of_motorist_killed": "int64",\n "number_of_pedestrians_injured": "int64",\n "number_of_pedestrians_killed": "int64",\n "number_of_persons_injured": "int64",\n "number_of_persons_killed": "int64"\n}',
"TRANSFORM_LIST": '[ "replace_regex", "add_crash_timestamp", "convert_date_format", "rename_headers", "resolve_datatypes", "reorder_headers" ]',
"REGEX_LIST": '[\n [ "OFF STREET NAME", "\\\\n", " " ]\n]',
"DATE_FORMAT_LIST": '[\n ["timestamp", "%m/%d/%Y %H:%M", "%Y-%m-%d %H:%M:%S"]\n]',
"CRASH_FIELD_LIST": '[ [ "timestamp", "CRASH DATE", "CRASH TIME" ] ]',
"RENAME_HEADERS_LIST": '{\n "BOROUGH": "borough",\n "CONTRIBUTING FACTOR VEHICLE 1": "contributing_factor_vehicle_1",\n "CONTRIBUTING FACTOR VEHICLE 2": "contributing_factor_vehicle_2",\n "CONTRIBUTING FACTOR VEHICLE 3": "contributing_factor_vehicle_3",\n "CONTRIBUTING FACTOR VEHICLE 4": "contributing_factor_vehicle_4",\n "CONTRIBUTING FACTOR VEHICLE 5": "contributing_factor_vehicle_5",\n "CROSS STREET NAME": "cross_street_name",\n "LATITUDE": "latitude",\n "LONGITUDE": "longitude",\n "LOCATION": "location",\n "NUMBER OF CYCLIST INJURED": "number_of_cyclist_injured",\n "NUMBER OF CYCLIST KILLED": "number_of_cyclist_killed",\n "NUMBER OF MOTORIST INJURED": "number_of_motorist_injured",\n "NUMBER OF MOTORIST KILLED": "number_of_motorist_killed",\n "NUMBER OF PEDESTRIANS INJURED": "number_of_pedestrians_injured",\n "NUMBER OF PEDESTRIANS KILLED": "number_of_pedestrians_killed",\n "NUMBER OF PERSONS INJURED": "number_of_persons_injured",\n "NUMBER OF PERSONS KILLED": "number_of_persons_killed",\n "OFF STREET NAME": "off_street_name",\n "ON STREET NAME": "on_street_name",\n "COLLISION_ID": "unique_key",\n "VEHICLE TYPE CODE 1": "vehicle_type_code1",\n "VEHICLE TYPE CODE 2": "vehicle_type_code2",\n "VEHICLE TYPE CODE 3": "vehicle_type_code_3",\n "VEHICLE TYPE CODE 4": "vehicle_type_code_4",\n "VEHICLE TYPE CODE 5": "vehicle_type_code_5",\n "ZIP CODE": "zip_code"\n}',
"REORDER_HEADERS_LIST": '[\n "borough",\n "contributing_factor_vehicle_1",\n "contributing_factor_vehicle_2",\n "contributing_factor_vehicle_3",\n "contributing_factor_vehicle_4",\n "contributing_factor_vehicle_5",\n "cross_street_name",\n "timestamp",\n "latitude",\n "longitude",\n "location",\n "number_of_cyclist_injured",\n "number_of_cyclist_killed",\n "number_of_motorist_injured",\n "number_of_motorist_killed",\n "number_of_pedestrians_injured",\n "number_of_pedestrians_killed",\n "number_of_persons_injured",\n "number_of_persons_killed",\n "off_street_name",\n "on_street_name",\n "unique_key",\n "vehicle_type_code1",\n "vehicle_type_code2",\n "vehicle_type_code_3",\n "vehicle_type_code_4",\n "vehicle_type_code_5",\n "zip_code"\n]',
},
resources={"request_ephemeral_storage": "16G", "limit_cpu": "3"},
)
# Run New York Tree Census 1995 Pipeline
transform_csv_ny_tree_census_1995 = kubernetes_engine.GKEStartPodOperator(
task_id="transform_csv_ny_tree_census_1995",
name="tree_census_1995",
project_id="{{ var.value.gcp_project }}",
location="us-central1-c",
cluster_name="pubds-new-york",
namespace="default",
image_pull_policy="Always",
image="{{ var.json.new_york.container_registry.run_csv_transform_kub_tree_census_1995 }}",
env_vars={
"PIPELINE_NAME": "{{ var.json.new_york.tree_census_1995.pipeline_name }}",
"SOURCE_URL": "{{ var.json.new_york.tree_census_1995.source_url }}",
"CHUNKSIZE": "{{ var.json.new_york.tree_census_1995.chunksize }}",
"SOURCE_FILE": "files/data_{{ var.json.new_york.tree_census_1995.dataset_id }}_{{ var.json.new_york.tree_census_1995.destination_table }}.csv",
"TARGET_FILE": "files/data_output_{{ var.json.new_york.tree_census_1995.dataset_id }}_{{ var.json.new_york.tree_census_1995.destination_table }}.csv",
"PROJECT_ID": "{{ var.value.gcp_project }}",
"DATASET_ID": "{{ var.json.new_york.tree_census_1995.dataset_id }}",
"TABLE_ID": "{{ var.json.new_york.tree_census_1995.destination_table }}",
"TARGET_GCS_BUCKET": "{{ var.value.composer_bucket }}",
"TARGET_GCS_PATH": "{{ var.json.new_york.tree_census_1995.target_path }}",
"SCHEMA_PATH": "{{ var.json.new_york.tree_census_1995.schema_path }}",
"RENAME_HEADERS_LIST": '{\n "RecordId": "recordid",\n "Address": "address",\n "House_Number": "house_number",\n "Street": "street",\n "Postcode_Original": "zip_original",\n "Community Board_Original": "cb_original",\n "Site": "site",\n "Species": "species",\n "Diameter": "diameter",\n "Condition": "status",\n "Wires": "wires",\n "Sidewalk_Condition": "sidewalk_condition",\n "Support_Structure": "support_structure",\n "Borough": "borough",\n "X": "x",\n "Y": "y",\n "Longitude": "longitude",\n "Latitude": "latitude",\n "CB_New": "cb_new",\n "Zip_New": "zip_new",\n "CensusTract_2010": "censustract_2010",\n "CensusBlock_2010": "censusblock_2010",\n "NTA_2010": "nta_2010",\n "SegmentID": "segmentid",\n "Spc_Common": "spc_common",\n "Spc_Latin": "spc_latin",\n "Location": "location"\n}',
"REMOVE_WHITESPACE_LIST": '[\n "spc_latin"\n]',
"REORDER_HEADERS_LIST": '[\n "recordid",\n "address",\n "house_number",\n "street",\n "zip_original",\n "cb_original",\n "site",\n "species",\n "diameter",\n "status",\n "wires",\n "sidewalk_condition",\n "support_structure",\n "borough",\n "x",\n "y",\n "longitude",\n "latitude",\n "cb_new",\n "zip_new",\n "censustract_2010",\n "censusblock_2010",\n "nta_2010",\n "segmentid",\n "spc_common",\n "spc_latin",\n "location"\n]',
},
resources={"request_ephemeral_storage": "16G", "limit_cpu": "3"},
)
delete_cluster = kubernetes_engine.GKEDeleteClusterOperator(
task_id="delete_cluster",
project_id="{{ var.value.gcp_project }}",
location="us-central1-c",
name="pubds-new-york",
)
(
create_cluster
>> [
transform_csv_nypd_mv_collisions,
transform_csv_ny_citibike_stations,
transform_csv_ny_tree_census_1995,
transform_csv_ny_311_service_requests,
]
>> delete_cluster
)