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feat: Onboard CDC Places Dataset (#241)
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varshika06 committed Dec 8, 2021
1 parent 6267b82 commit e2fcb0c
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34 changes: 34 additions & 0 deletions datasets/cdc_places/_images/run_csv_transform_kub/Dockerfile
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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
FROM python:3.8

# Allow statements and log messages to appear in Cloud logs
ENV PYTHONUNBUFFERED True

# Copy the requirements file into the image
COPY requirements.txt ./

# Install the packages specified in the requirements file
RUN python3 -m pip install --no-cache-dir -r requirements.txt

# The WORKDIR instruction sets the working directory for any RUN, CMD,
# ENTRYPOINT, COPY and ADD instructions that follow it in the Dockerfile.
# If the WORKDIR doesn’t exist, it will be created even if it’s not used in
# any subsequent Dockerfile instruction
WORKDIR /custom

# Copy the specific data processing script/s in the image under /custom/*
COPY ./csv_transform.py .

# Command to run the data processing script when the container is run
CMD ["python3", "csv_transform.py"]
108 changes: 108 additions & 0 deletions datasets/cdc_places/_images/run_csv_transform_kub/csv_transform.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.

import datetime
import json
import logging
import os
import pathlib
import typing

import pandas as pd
import requests
from google.cloud import storage


def main(
source_url: str,
source_file: pathlib.Path,
target_file: pathlib.Path,
target_gcs_bucket: str,
target_gcs_path: str,
headers: typing.List[str],
rename_mappings: dict,
pipeline_name: str,
) -> None:

logging.info("Creating 'files' folder")
pathlib.Path("./files").mkdir(parents=True, exist_ok=True)

logging.info(f"Downloading file {source_url}")
download_file(source_url, source_file)

logging.info(f"Opening file {source_file}")
df = pd.read_csv(str(source_file))

logging.info(f"Transformation Process Starting.. {source_file}")
rename_headers(df, rename_mappings)
df = df[headers]

logging.info(f"Transformation Process complete .. {source_file}")
logging.info(f"Saving to output file.. {target_file}")

try:
save_to_new_file(df, file_path=str(target_file))
except Exception as e:
logging.error(f"Error saving output file: {e}.")

logging.info(
f"Uploading output file to.. gs://{target_gcs_bucket}/{target_gcs_path}"
)
upload_file_to_gcs(target_file, target_gcs_bucket, target_gcs_path)

logging.info(
f"Local Data for Better Health, County Data {pipeline_name} process completed at "
+ str(datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S"))
)


def rename_headers(df: pd.DataFrame, rename_mappings: dict) -> None:
df.rename(columns=rename_mappings, inplace=True)


def save_to_new_file(df: pd.DataFrame, file_path: str) -> None:
df.to_csv(file_path, float_format="%.0f", index=False)


def download_file(source_url: str, source_file: pathlib.Path) -> None:
logging.info(f"Downloading {source_url} into {source_file}")
r = requests.get(source_url, stream=True)
if r.status_code == 200:
with open(source_file, "wb") as f:
for chunk in r:
f.write(chunk)
else:
logging.error(f"Couldn't download {source_url}: {r.text}")


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(),
target_gcs_bucket=os.environ["TARGET_GCS_BUCKET"],
target_gcs_path=os.environ["TARGET_GCS_PATH"],
headers=json.loads(os.environ["CSV_HEADERS"]),
rename_mappings=json.loads(os.environ["RENAME_MAPPINGS"]),
pipeline_name=os.environ["PIPELINE_NAME"],
)
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requests
google-cloud-storage
pandas
26 changes: 26 additions & 0 deletions datasets/cdc_places/_terraform/cdc_places_dataset.tf
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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.
*/


resource "google_bigquery_dataset" "cdc_places" {
dataset_id = "cdc_places"
project = var.project_id
description = "Local Data for Better Health, County Data"
}

output "bigquery_dataset-cdc_places-dataset_id" {
value = google_bigquery_dataset.cdc_places.dataset_id
}
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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.
*/


resource "google_bigquery_table" "cdc_places_local_data_for_better_health_county_data" {
project = var.project_id
dataset_id = "cdc_places"
table_id = "local_data_for_better_health_county_data"

description = "Local Data for Better Health, County Data"




depends_on = [
google_bigquery_dataset.cdc_places
]
}

output "bigquery_table-cdc_places_local_data_for_better_health_county_data-table_id" {
value = google_bigquery_table.cdc_places_local_data_for_better_health_county_data.table_id
}

output "bigquery_table-cdc_places_local_data_for_better_health_county_data-id" {
value = google_bigquery_table.cdc_places_local_data_for_better_health_county_data.id
}
28 changes: 28 additions & 0 deletions datasets/cdc_places/_terraform/provider.tf
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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.
*/


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
}
23 changes: 23 additions & 0 deletions datasets/cdc_places/_terraform/variables.tf
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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.
*/


variable "project_id" {}
variable "bucket_name_prefix" {}
variable "impersonating_acct" {}
variable "region" {}
variable "env" {}

49 changes: 49 additions & 0 deletions datasets/cdc_places/dataset.yaml
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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.

dataset:
# The `dataset` block includes properties for your dataset that will be shown
# to users of your data on the Google Cloud website.

# Must be exactly the same name as the folder name your dataset.yaml is in.
name: cdc_places

# A friendly, human-readable name of the dataset
friendly_name: cdc_places

# A short, descriptive summary of the dataset.
description: Local Data for Better Health, County Data

# A list of sources the dataset is derived from, using the YAML list syntax.
dataset_sources: ~

# A list of terms and conditions that users of the dataset should agree on,
# using the YAML list syntax.
terms_of_use: ~


resources:
# A list of Google Cloud resources needed by your dataset. In principle, all
# pipelines under a dataset should be able to share these resources.
#
# The currently supported resources are shown below. Use only the resources
# you need, and delete the rest as needed by your pipeline.
#
# We will keep adding to the list below to support more Google Cloud resources
# over time. If a resource you need isn't supported, please file an issue on
# the repository.

- type: bigquery_dataset
dataset_id: cdc_places
description: "Local Data for Better Health, County Data"

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