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/** | ||
* Copyright 2022 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. | ||
*/ | ||
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resource "google_bigquery_dataset" "fdic" { | ||
dataset_id = "fdic" | ||
project = var.project_id | ||
description = "FDIC dataset" | ||
} | ||
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output "bigquery_dataset-fdic-dataset_id" { | ||
value = google_bigquery_dataset.fdic.dataset_id | ||
} | ||
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resource "google_storage_bucket" "fdic" { | ||
name = "${var.bucket_name_prefix}-fdic" | ||
force_destroy = true | ||
location = "US" | ||
uniform_bucket_level_access = true | ||
lifecycle { | ||
ignore_changes = [ | ||
logging, | ||
] | ||
} | ||
} | ||
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output "storage_bucket-fdic-name" { | ||
value = google_storage_bucket.fdic.name | ||
} |
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/** | ||
* Copyright 2022 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. | ||
*/ | ||
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resource "google_bigquery_table" "fdic_institutions" { | ||
project = var.project_id | ||
dataset_id = "fdic" | ||
table_id = "institutions" | ||
description = "FDIC table" | ||
depends_on = [ | ||
google_bigquery_dataset.fdic | ||
] | ||
} | ||
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output "bigquery_table-fdic_institutions-table_id" { | ||
value = google_bigquery_table.fdic_institutions.table_id | ||
} | ||
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output "bigquery_table-fdic_institutions-id" { | ||
value = google_bigquery_table.fdic_institutions.id | ||
} |
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/** | ||
* Copyright 2022 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. | ||
*/ | ||
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resource "google_bigquery_table" "fdic_locations" { | ||
project = var.project_id | ||
dataset_id = "fdic" | ||
table_id = "locations" | ||
description = "FDIC table" | ||
depends_on = [ | ||
google_bigquery_dataset.fdic | ||
] | ||
} | ||
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output "bigquery_table-fdic_locations-table_id" { | ||
value = google_bigquery_table.fdic_locations.table_id | ||
} | ||
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output "bigquery_table-fdic_locations-id" { | ||
value = google_bigquery_table.fdic_locations.id | ||
} |
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/** | ||
* Copyright 2022 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. | ||
*/ | ||
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provider "google" { | ||
project = var.project_id | ||
impersonate_service_account = var.impersonating_acct | ||
region = var.region | ||
} | ||
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data "google_client_openid_userinfo" "me" {} | ||
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output "impersonating-account" { | ||
value = data.google_client_openid_userinfo.me.email | ||
} |
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/** | ||
* Copyright 2022 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. | ||
*/ | ||
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variable "project_id" {} | ||
variable "bucket_name_prefix" {} | ||
variable "impersonating_acct" {} | ||
variable "region" {} | ||
variable "env" {} | ||
variable "iam_policies" { | ||
default = {} | ||
} | ||
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37 changes: 37 additions & 0 deletions
37
datasets/fdic/pipelines/_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 | ||
# limitations under the License. | ||
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# The base image for this build | ||
FROM python:3.8 | ||
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# Allow statements and log messages to appear in Cloud logs | ||
ENV PYTHONUNBUFFERED True | ||
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# Copy the requirements file into the image | ||
COPY requirements.txt ./ | ||
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# Install the packages specified in the requirements file | ||
RUN python3 -m pip install --no-cache-dir -r requirements.txt | ||
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# 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 | ||
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# Copy the specific data processing script/s in the image under /custom/* | ||
COPY ./csv_transform.py . | ||
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# Command to run the data processing script when the container is run | ||
CMD ["python3", "csv_transform.py"] |
166 changes: 166 additions & 0 deletions
166
datasets/fdic/pipelines/_images/run_csv_transform_kub/csv_transform.py
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# Copyright 2022 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. | ||
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import datetime | ||
import json | ||
import logging | ||
import os | ||
import pathlib | ||
import typing | ||
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import pandas as pd | ||
import requests | ||
from google.cloud import storage | ||
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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, | ||
replace_bool_list: typing.List[str], | ||
format_date_list: typing.List[str], | ||
replace_date_list: typing.List[str], | ||
null_list: typing.List[str], | ||
string_to_int: str, | ||
zero_to_null: str, | ||
) -> None: | ||
logging.info( | ||
f"FDIC{pipeline_name} process started at " | ||
+ str(datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")) | ||
) | ||
logging.info("Creating 'files' folder") | ||
pathlib.Path("./files").mkdir(parents=True, exist_ok=True) | ||
download_file(source_url, source_file) | ||
logging.info(f"Opening file {source_file}...") | ||
df = pd.read_csv(str(source_file)) | ||
logging.info(f"Transforming {source_file}... ") | ||
rename_headers(df, rename_mappings) | ||
if pipeline_name == "locations": | ||
replace_bool(replace_bool_list, df) | ||
logging.info("Converting values to int...") | ||
df[string_to_int] = df[string_to_int].astype("Int64", errors="ignore") | ||
format_date_list = ["date_established", "last_updated"] | ||
format_date(format_date_list, df) | ||
logging.info("Replacing with null values...") | ||
df[zero_to_null] = df[zero_to_null].replace(0, "NULL") | ||
else: | ||
replace_bool(replace_bool_list, df) | ||
replace_date(replace_date_list, df) | ||
format_date(format_date_list, df) | ||
fill_null(null_list, df) | ||
logging.info("Transform: Reordering headers..") | ||
df = df[headers] | ||
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"FDIC {pipeline_name} process completed at " | ||
+ str(datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")) | ||
) | ||
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def replace_bool(replace_bool_list: list, df: pd.DataFrame) -> None: | ||
logging.info("Replacing bool values...") | ||
for item in replace_bool_list: | ||
df[item] = df[item].replace([0, 1], [False, True]) | ||
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def format_date(format_date_list: list, df: pd.DataFrame) -> None: | ||
logging.info("Formatting date values...") | ||
for item in format_date_list: | ||
df[item] = pd.to_datetime(df[item]) | ||
df[item] = df[item].dt.strftime("%Y-%m-%d") | ||
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def replace_date(replace_date_list: list, df: pd.DataFrame) -> None: | ||
logging.info("Replacing date values...") | ||
for item in replace_date_list: | ||
empty_list = [] | ||
df[item] = df[item].astype(str) | ||
df[item] = df[item].replace("nan", "") | ||
for value in df[item]: | ||
if "9999" in value: | ||
value = "" | ||
empty_list.append(value) | ||
else: | ||
empty_list.append(value) | ||
df[item] = empty_list | ||
df[item] = pd.to_datetime(df[item], format="%m-%d-%Y", errors="ignore") | ||
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def fill_null(null_list: list, df: pd.DataFrame) -> None: | ||
logging.info("Filling null values...") | ||
for item in null_list: | ||
df[item] = df[item].fillna(0) | ||
df[item] = df[item].astype(int) | ||
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def rename_headers(df: pd.DataFrame, rename_mappings: dict) -> None: | ||
logging.info("Renaming Columns...") | ||
df.rename(columns=rename_mappings, inplace=True) | ||
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def save_to_new_file(df: pd.DataFrame, file_path: str) -> None: | ||
logging.info(f"Saving to output file.. {file_path}") | ||
df.to_csv(file_path, index=False) | ||
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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}") | ||
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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) | ||
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if __name__ == "__main__": | ||
logging.getLogger().setLevel(logging.INFO) | ||
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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"], | ||
replace_bool_list=json.loads(os.environ.get("REPLACE_BOOL_LIST", "")), | ||
format_date_list=json.loads(os.environ.get("FORMAT_DATE_LIST", "")), | ||
replace_date_list=json.loads(os.environ.get("REPLACE_DATE_LIST", "[]")), | ||
null_list=json.loads(os.environ.get("NULL_LIST", "[]")), | ||
string_to_int=os.environ.get("STRING_TO_INT", ""), | ||
zero_to_null=os.environ.get("ZERO_TO_NULL", ""), | ||
) |
3 changes: 3 additions & 0 deletions
3
datasets/fdic/pipelines/_images/run_csv_transform_kub/requirements.txt
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google-cloud-storage | ||
pandas==1.4.3 | ||
requests |
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