Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
feat: Onboard sunroof dataset (#166)
- Loading branch information
1 parent
cbad321
commit 375cbae
Showing
13 changed files
with
1,383 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,21 @@ | ||
# 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 python:3.8 | ||
ENV PYTHONUNBUFFERED True | ||
COPY requirements.txt ./ | ||
RUN python3 -m pip install --no-cache-dir -r requirements.txt | ||
WORKDIR /custom | ||
COPY ./csv_transform.py . | ||
CMD ["python3", "csv_transform.py"] |
205 changes: 205 additions & 0 deletions
205
datasets/sunroof/_images/run_csv_transform_kub/csv_transform.py
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,205 @@ | ||
# 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. | ||
|
||
import logging | ||
import os | ||
import pathlib | ||
|
||
import pandas as pd | ||
from google.cloud import storage | ||
|
||
|
||
def main( | ||
source_url: str, | ||
source_file: pathlib.Path, | ||
target_file: pathlib.Path, | ||
chunksize: str, | ||
target_gcs_bucket: str, | ||
target_gcs_path: str, | ||
) -> None: | ||
|
||
logging.info("Sunroof solar potential started") | ||
|
||
pathlib.Path("./files").mkdir(parents=True, exist_ok=True) | ||
download_file_gs(source_url, source_file) | ||
|
||
chunksz = int(chunksize) | ||
|
||
logging.info(f"Opening batch file {source_file}") | ||
with pd.read_csv( | ||
source_file, # path to main source file to load in batches | ||
engine="python", | ||
encoding="utf-8", | ||
quotechar='"', # string separator, typically double-quotes | ||
chunksize=chunksz, # size of batch data, in no. of records | ||
sep=",", # data column separator, typically "," | ||
) as reader: | ||
for chunk_number, chunk in enumerate(reader): | ||
target_file_batch = str(target_file).replace( | ||
".csv", "-" + str(chunk_number) + ".csv" | ||
) | ||
df = pd.DataFrame() | ||
df = pd.concat([df, chunk]) | ||
process_chunk(df, target_file_batch, target_file, (not chunk_number == 0)) | ||
|
||
upload_file_to_gcs(target_file, target_gcs_bucket, target_gcs_path) | ||
|
||
logging.info("Sunroof solar potential process completed") | ||
|
||
|
||
def process_chunk( | ||
df: pd.DataFrame, target_file_batch: str, target_file: str, skip_header: bool | ||
) -> None: | ||
df = rename_headers(df) | ||
df = remove_nan_cols(df) | ||
df = generate_location(df) | ||
df = reorder_headers(df) | ||
save_to_new_file(df, file_path=str(target_file_batch)) | ||
append_batch_file(target_file_batch, target_file, skip_header, not (skip_header)) | ||
|
||
|
||
def append_batch_file( | ||
batch_file_path: str, target_file_path: str, skip_header: bool, truncate_file: bool | ||
) -> None: | ||
data_file = open(batch_file_path, "r") | ||
if truncate_file: | ||
target_file = open(target_file_path, "w+").close() | ||
target_file = open(target_file_path, "a+") | ||
if skip_header: | ||
logging.info( | ||
f"Appending batch file {batch_file_path} to {target_file_path} with skip header" | ||
) | ||
next(data_file) | ||
else: | ||
logging.info(f"Appending batch file {batch_file_path} to {target_file_path}") | ||
target_file.write(data_file.read()) | ||
data_file.close() | ||
target_file.close() | ||
if os.path.exists(batch_file_path): | ||
os.remove(batch_file_path) | ||
|
||
|
||
def generate_location(df: pd.DataFrame) -> pd.DataFrame: | ||
logging.info("Generating location data") | ||
df["center_point"] = ( | ||
"POINT( " + df["lng_avg"].map(str) + " " + df["lat_avg"].map(str) + " )" | ||
) | ||
|
||
return df | ||
|
||
|
||
def reorder_headers(df: pd.DataFrame) -> pd.DataFrame: | ||
logging.info("Reordering headers..") | ||
df = df[ | ||
[ | ||
"region_name", | ||
"state_name", | ||
"lat_max", | ||
"lat_min", | ||
"lng_max", | ||
"lng_min", | ||
"lat_avg", | ||
"lng_avg", | ||
"yearly_sunlight_kwh_kw_threshold_avg", | ||
"count_qualified", | ||
"percent_covered", | ||
"percent_qualified", | ||
"number_of_panels_n", | ||
"number_of_panels_s", | ||
"number_of_panels_e", | ||
"number_of_panels_w", | ||
"number_of_panels_f", | ||
"number_of_panels_median", | ||
"number_of_panels_total", | ||
"kw_median", | ||
"kw_total", | ||
"yearly_sunlight_kwh_n", | ||
"yearly_sunlight_kwh_s", | ||
"yearly_sunlight_kwh_e", | ||
"yearly_sunlight_kwh_w", | ||
"yearly_sunlight_kwh_f", | ||
"yearly_sunlight_kwh_median", | ||
"yearly_sunlight_kwh_total", | ||
"install_size_kw_buckets", | ||
"carbon_offset_metric_tons", | ||
"existing_installs_count", | ||
"center_point", | ||
] | ||
] | ||
|
||
return df | ||
|
||
|
||
def remove_nan(dt_str: str) -> int: | ||
if not dt_str or str(dt_str) == "nan": | ||
return int() | ||
else: | ||
return int(dt_str) | ||
|
||
|
||
def remove_nan_cols(df: pd.DataFrame) -> pd.DataFrame: | ||
logging.info("Resolve NaN data") | ||
cols = { | ||
"count_qualified", | ||
"existing_installs_count", | ||
"number_of_panels_n", | ||
"number_of_panels_s", | ||
"number_of_panels_e", | ||
"number_of_panels_w", | ||
"number_of_panels_f", | ||
"number_of_panels_median", | ||
"number_of_panels_total", | ||
} | ||
|
||
for col in cols: | ||
df[col] = df[col].apply(remove_nan) | ||
|
||
return df | ||
|
||
|
||
def rename_headers(df: pd.DataFrame) -> pd.DataFrame: | ||
logging.info("Renaming columns") | ||
header_names = {"install_size_kw_buckets_json": "install_size_kw_buckets"} | ||
df = df.rename(columns=header_names) | ||
|
||
return df | ||
|
||
|
||
def save_to_new_file(df: pd.DataFrame, file_path) -> None: | ||
df.to_csv(file_path, index=False) | ||
|
||
|
||
def download_file_gs(source_url: str, source_file: pathlib.Path) -> None: | ||
with open(source_file, "wb+") as file_obj: | ||
storage.Client().download_blob_to_file(source_url, file_obj) | ||
|
||
|
||
def upload_file_to_gcs(file_path: pathlib.Path, gcs_bucket: str, gcs_path: str) -> None: | ||
storage_client = storage.Client() | ||
bucket = storage_client.bucket(gcs_bucket) | ||
blob = bucket.blob(gcs_path) | ||
blob.upload_from_filename(file_path) | ||
|
||
|
||
if __name__ == "__main__": | ||
logging.getLogger().setLevel(logging.INFO) | ||
|
||
main( | ||
source_url=os.environ["SOURCE_URL"], | ||
source_file=pathlib.Path(os.environ["SOURCE_FILE"]).expanduser(), | ||
target_file=pathlib.Path(os.environ["TARGET_FILE"]).expanduser(), | ||
chunksize=os.environ["CHUNKSIZE"], | ||
target_gcs_bucket=os.environ["TARGET_GCS_BUCKET"], | ||
target_gcs_path=os.environ["TARGET_GCS_PATH"], | ||
) |
2 changes: 2 additions & 0 deletions
2
datasets/sunroof/_images/run_csv_transform_kub/requirements.txt
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,2 @@ | ||
pandas | ||
google-cloud-storage |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,28 @@ | ||
/** | ||
* 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. | ||
*/ | ||
|
||
|
||
provider "google" { | ||
project = var.project_id | ||
impersonate_service_account = var.impersonating_acct | ||
region = var.region | ||
} | ||
|
||
data "google_client_openid_userinfo" "me" {} | ||
|
||
output "impersonating-account" { | ||
value = data.google_client_openid_userinfo.me.email | ||
} |
39 changes: 39 additions & 0 deletions
39
datasets/sunroof/_terraform/solar_potential_by_census_tract_pipeline.tf
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,39 @@ | ||
/** | ||
* 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. | ||
*/ | ||
|
||
|
||
resource "google_bigquery_table" "solar_potential_by_census_tract" { | ||
project = var.project_id | ||
dataset_id = "sunroof" | ||
table_id = "solar_potential_by_census_tract" | ||
|
||
description = "Sunroof Solar Potential By Census Tract" | ||
|
||
|
||
|
||
|
||
depends_on = [ | ||
google_bigquery_dataset.sunroof | ||
] | ||
} | ||
|
||
output "bigquery_table-solar_potential_by_census_tract-table_id" { | ||
value = google_bigquery_table.solar_potential_by_census_tract.table_id | ||
} | ||
|
||
output "bigquery_table-solar_potential_by_census_tract-id" { | ||
value = google_bigquery_table.solar_potential_by_census_tract.id | ||
} |
39 changes: 39 additions & 0 deletions
39
datasets/sunroof/_terraform/solar_potential_by_postal_code_pipeline.tf
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,39 @@ | ||
/** | ||
* 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. | ||
*/ | ||
|
||
|
||
resource "google_bigquery_table" "solar_potential_by_postal_code" { | ||
project = var.project_id | ||
dataset_id = "sunroof" | ||
table_id = "solar_potential_by_postal_code" | ||
|
||
description = "Sunroof Solar Potential By Postal Code" | ||
|
||
|
||
|
||
|
||
depends_on = [ | ||
google_bigquery_dataset.sunroof | ||
] | ||
} | ||
|
||
output "bigquery_table-solar_potential_by_postal_code-table_id" { | ||
value = google_bigquery_table.solar_potential_by_postal_code.table_id | ||
} | ||
|
||
output "bigquery_table-solar_potential_by_postal_code-id" { | ||
value = google_bigquery_table.solar_potential_by_postal_code.id | ||
} |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,26 @@ | ||
/** | ||
* 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. | ||
*/ | ||
|
||
|
||
resource "google_bigquery_dataset" "sunroof" { | ||
dataset_id = "sunroof" | ||
project = var.project_id | ||
description = "sunroof" | ||
} | ||
|
||
output "bigquery_dataset-sunroof-dataset_id" { | ||
value = google_bigquery_dataset.sunroof.dataset_id | ||
} |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,23 @@ | ||
/** | ||
* 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. | ||
*/ | ||
|
||
|
||
variable "project_id" {} | ||
variable "bucket_name_prefix" {} | ||
variable "impersonating_acct" {} | ||
variable "region" {} | ||
variable "env" {} | ||
|
Oops, something went wrong.