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feat: Onboard San francisco film locations (#190)
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datasets/san_francisco_film_locations/_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 gcr.io/google.com/cloudsdktool/cloud-sdk:slim | ||
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"] |
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datasets/san_francisco_film_locations/_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. | ||
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import logging | ||
import os | ||
import pathlib | ||
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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, | ||
chunksize: str, | ||
target_gcs_bucket: str, | ||
target_gcs_path: str, | ||
) -> None: | ||
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logging.info("San Francisco - Film Locations process started") | ||
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pathlib.Path("./files").mkdir(parents=True, exist_ok=True) | ||
download_file(source_url, source_file) | ||
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chunksz = int(chunksize) | ||
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with pd.read_csv( | ||
source_file, engine="python", encoding="utf-8", quotechar='"', chunksize=chunksz | ||
) as reader: | ||
for chunk_number, chunk in enumerate(reader): | ||
logging.info(f"Processing batch {chunk_number}") | ||
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)) | ||
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upload_file_to_gcs(target_file, target_gcs_bucket, target_gcs_path) | ||
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logging.info("San Francisco - Film Locations process completed") | ||
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def download_file(source_url: str, source_file: pathlib.Path) -> None: | ||
r = requests.get(source_url, stream=True) | ||
with open(source_file, "wb") as f: | ||
for chunk in r: | ||
f.write(chunk) | ||
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def process_chunk( | ||
df: pd.DataFrame, target_file_batch: str, target_file: str, skip_header: bool | ||
) -> None: | ||
df = rename_headers(df) | ||
df = trim_whitespace(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)) | ||
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def rename_headers(df: pd.DataFrame) -> None: | ||
logging.info("Renaming Headers") | ||
header_names = { | ||
"Title": "title", | ||
"Release Year": "release_year", | ||
"Locations": "locations", | ||
"Fun Facts": "fun_facts", | ||
"Production Company": "production_company", | ||
"Distributor": "distributor", | ||
"Director": "director", | ||
"Writer": "writer", | ||
"Actor 1": "actor_1", | ||
"Actor 2": "actor_2", | ||
"Actor 3": "actor_3", | ||
} | ||
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df = df.rename(columns=header_names) | ||
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return df | ||
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def trim_whitespace(df: pd.DataFrame) -> None: | ||
logging.info("Trimming Whitespace") | ||
df["distributor"] = df["distributor"].apply(lambda x: str(x).strip()) | ||
df["director"] = df["director"].apply(lambda x: str(x).strip()) | ||
df["actor_2"] = df["actor_2"].apply(lambda x: str(x).strip()) | ||
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return df | ||
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def reorder_headers(df: pd.DataFrame) -> None: | ||
logging.info("Reordering headers..") | ||
df = df[ | ||
[ | ||
"title", | ||
"release_year", | ||
"locations", | ||
"fun_facts", | ||
"production_company", | ||
"distributor", | ||
"director", | ||
"writer", | ||
"actor_1", | ||
"actor_2", | ||
"actor_3", | ||
] | ||
] | ||
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return df | ||
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def save_to_new_file(df: pd.DataFrame, file_path) -> None: | ||
df.to_csv(file_path, index=False) | ||
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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) | ||
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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(), | ||
chunksize=os.environ["CHUNKSIZE"], | ||
target_gcs_bucket=os.environ["TARGET_GCS_BUCKET"], | ||
target_gcs_path=os.environ["TARGET_GCS_PATH"], | ||
) |
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datasets/san_francisco_film_locations/_images/run_csv_transform_kub/requirements.txt
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requests | ||
pandas | ||
google-cloud-storage |
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datasets/san_francisco_film_locations/_terraform/film_locations_pipeline.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. | ||
*/ | ||
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resource "google_bigquery_table" "film_locations" { | ||
project = var.project_id | ||
dataset_id = "san_francisco_film_locations" | ||
table_id = "film_locations" | ||
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description = "san_francisco_film_locationsspc" | ||
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depends_on = [ | ||
google_bigquery_dataset.san_francisco_film_locations | ||
] | ||
} | ||
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output "bigquery_table-film_locations-table_id" { | ||
value = google_bigquery_table.film_locations.table_id | ||
} | ||
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output "bigquery_table-film_locations-id" { | ||
value = google_bigquery_table.film_locations.id | ||
} |
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datasets/san_francisco_film_locations/_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. | ||
*/ | ||
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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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datasets/san_francisco_film_locations/_terraform/san_francisco_film_locations_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. | ||
*/ | ||
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resource "google_bigquery_dataset" "san_francisco_film_locations" { | ||
dataset_id = "san_francisco_film_locations" | ||
project = var.project_id | ||
description = "san_francisco_film_locations" | ||
} | ||
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output "bigquery_dataset-san_francisco_film_locations-dataset_id" { | ||
value = google_bigquery_dataset.san_francisco_film_locations.dataset_id | ||
} |
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datasets/san_francisco_film_locations/_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. | ||
*/ | ||
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variable "project_id" {} | ||
variable "bucket_name_prefix" {} | ||
variable "impersonating_acct" {} | ||
variable "region" {} | ||
variable "env" {} | ||
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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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dataset: | ||
name: san_francisco_film_locations | ||
friendly_name: ~ | ||
description: ~ | ||
dataset_sources: ~ | ||
terms_of_use: ~ | ||
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resources: | ||
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- type: bigquery_dataset | ||
dataset_id: san_francisco_film_locations | ||
description: san_francisco_film_locations |
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