feat: Onboard Iowa Liquor Sales dataset

datasets/iowa_liquor_sales/_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.
+
+# The base image for this build
+# FROM gcr.io/google.com/cloudsdktool/cloud-sdk:slim
+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"]

datasets/iowa_liquor_sales/_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 logging
+import os
+import pathlib
+import subprocess
+from datetime import datetime
+
+import pandas as pd
+import requests
+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(" Sales pipeline process started")
+    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)
+
+    chunksz = int(chunksize)
+    logging.info(f"Reading csv file {source_url}")
+    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])
+            processChunk(df, target_file_batch)
+
+            logging.info(f"Appending batch {chunk_number} to {target_file}")
+            if chunk_number == 0:
+                subprocess.run(["cp", target_file_batch, target_file])
+            else:
+                subprocess.check_call(f"sed -i '1d' {target_file_batch}", shell=True)
+                subprocess.check_call(
+                    f"cat {target_file_batch} >> {target_file}", shell=True
+                )
+            subprocess.run(["rm", target_file_batch])
+
+    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)
+
+
+def processChunk(df: pd.DataFrame, target_file_batch: str) -> None:
+
+    logging.info("Renaming Headers")
+    rename_headers(df)
+
+    logging.info("Convert Date Format")
+    df["date"] = df["date"].apply(convert_dt_format)
+
+    logging.info("Reordering headers..")
+    df = df[
+        [
+            "invoice_and_item_number",
+            "date",
+            "store_number",
+            "store_name",
+            "address",
+            "city",
+            "zip_code",
+            "store_location",
+            "county_number",
+            "county",
+            "category",
+            "category_name",
+            "vendor_number",
+            "vendor_name",
+            "item_number",
+            "item_description",
+            "pack",
+            "bottle_volume_ml",
+            "state_bottle_cost",
+            "state_bottle_retail",
+            "bottles_sold",
+            "sale_dollars",
+            "volume_sold_liters",
+            "volume_sold_gallons",
+        ]
+    ]
+
+    df["county_number"] = df["county_number"].astype("Int64")
+
+    logging.info(f"Saving to output file.. {target_file_batch}")
+    try:
+        save_to_new_file(df, file_path=str(target_file_batch))
+    except Exception as e:
+        logging.error(f"Error saving output file: {e}.")
+    logging.info("..Done!")
+
+
+def rename_headers(df: pd.DataFrame) -> None:
+    header_names = {
+        "Invoice/Item Number": "invoice_and_item_number",
+        "Date": "date",
+        "Store Number": "store_number",
+        "Store Name": "store_name",
+        "Address": "address",
+        "City": "city",
+        "Zip Code": "zip_code",
+        "Store Location": "store_location",
+        "County Number": "county_number",
+        "County": "county",
+        "Category": "category",
+        "Category Name": "category_name",
+        "Vendor Number": "vendor_number",
+        "Vendor Name": "vendor_name",
+        "Item Number": "item_number",
+        "Item Description": "item_description",
+        "Pack": "pack",
+        "Bottle Volume (ml)": "bottle_volume_ml",
+        "State Bottle Cost": "state_bottle_cost",
+        "State Bottle Retail": "state_bottle_retail",
+        "Bottles Sold": "bottles_sold",
+        "Sale (Dollars)": "sale_dollars",
+        "Volume Sold (Liters)": "volume_sold_liters",
+        "Volume Sold (Gallons)": "volume_sold_gallons",
+    }
+    df = df.rename(columns=header_names, inplace=True)
+
+
+def convert_dt_format(dt_str: str) -> str:
+    if dt_str is None or len(dt_str) == 0:
+        return dt_str
+    else:
+        if len(dt_str) == 10:
+            return datetime.strptime(dt_str, "%m/%d/%Y").strftime("%Y-%m-%d")
+
+
+def save_to_new_file(df, file_path) -> None:
+    df.to_csv(file_path, 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(),
+        chunksize=os.environ["CHUNKSIZE"],
+        target_gcs_bucket=os.environ["TARGET_GCS_BUCKET"],
+        target_gcs_path=os.environ["TARGET_GCS_PATH"],
+    )

datasets/iowa_liquor_sales/_images/run_csv_transform_kub/requirements.txt

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+requests
+pandas
+google-cloud-storage

datasets/iowa_liquor_sales/_terraform/iowa_liquor_sales_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" "iowa_liquor_sales" {
+  dataset_id  = "iowa_liquor_sales"
+  project     = var.project_id
+  description = "This dataset contains every wholesale purchase of liquor in the State of Iowa by retailers for sale to individuals since January 1, 2012. The State of Iowa controls the wholesale distribution of liquor intended for retail sale (off-premises consumption), which means this dataset offers a complete view of retail liquor consumption in the entire state. The dataset contains every wholesale order of liquor by all grocery stores, liquor stores, convenience stores, etc., with details about the store and location, the exact liquor brand and size, and the number of bottles ordered.\nYou can find more details, as well as sample queries, in the GCP Marketplace here: https://console.cloud.google.com/marketplace/details/iowa-department-of-commerce/iowa-liquor-sales"
+}
+
+output "bigquery_dataset-iowa_liquor_sales-dataset_id" {
+  value = google_bigquery_dataset.iowa_liquor_sales.dataset_id
+}

datasets/iowa_liquor_sales/_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
+}

datasets/iowa_liquor_sales/_terraform/sales_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.
+ */
+
+
+resource "google_bigquery_table" "sales" {
+  project    = var.project_id
+  dataset_id = "iowa_liquor_sales"
+  table_id   = "sales"
+
+  description = "Sales Dataset"
+
+
+
+
+  depends_on = [
+    google_bigquery_dataset.iowa_liquor_sales
+  ]
+}
+
+output "bigquery_table-sales-table_id" {
+  value = google_bigquery_table.sales.table_id
+}
+
+output "bigquery_table-sales-id" {
+  value = google_bigquery_table.sales.id
+}

datasets/iowa_liquor_sales/_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" {}
+

datasets/iowa_liquor_sales/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:
+
+  name: iowa_liquor_sales
+
+  friendly_name: iowa_liquor
+
+  description: "This dataset contains every wholesale purchase of liquor in the State of Iowa by retailers for sale to individuals since January 1, 2012."
+
+  dataset_sources: ~
+
+  terms_of_use: ~
+
+
+resources:
+
+  - type: bigquery_dataset
+    dataset_id: iowa_liquor_sales
+    description: |-
+     "This dataset contains every wholesale purchase of liquor in the State of Iowa by retailers for sale to individuals since January 1, 2012. The State of Iowa controls the wholesale distribution of liquor intended for retail sale (off-premises consumption), which means this dataset offers a complete view of retail liquor consumption in the entire state. The dataset contains every wholesale order of liquor by all grocery stores, liquor stores, convenience stores, etc., with details about the store and location, the exact liquor brand and size, and the number of bottles ordered.
+     You can find more details, as well as sample queries, in the GCP Marketplace here: https://console.cloud.google.com/marketplace/details/iowa-department-of-commerce/iowa-liquor-sales"