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python etl
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| if __name__ == "__main__": | |
| import pandas as pd | |
| from english_category_name import * | |
| from dask.distributed import Client, LocalCluster | |
| cluster = LocalCluster() | |
| client = Client(cluster) | |
| def extract_payments_csv(): | |
| payments_DF = pd.read_csv( | |
| './brazilian-ecommerce/olist_order_payments_dataset.csv') | |
| return payments_DF | |
| def extract_order_items_csv(): | |
| order_items_DF = pd.read_csv( | |
| './brazilian-ecommerce/olist_order_items_dataset.csv') | |
| return order_items_DF | |
| def extract_customers_csv(): | |
| customers_DF = pd.read_csv( | |
| './brazilian-ecommerce/olist_customers_dataset.csv') | |
| return customers_DF | |
| def extract_orders_csv(): | |
| orders_DF = pd.read_csv( | |
| './brazilian-ecommerce/olist_orders_dataset.csv') | |
| return orders_DF | |
| def extract_sellers_csv(): | |
| sellers_DF = pd.read_csv( | |
| './brazilian-ecommerce/olist_sellers_dataset.csv') | |
| return sellers_DF | |
| def extract_products_csv(): | |
| products_DF = pd.read_csv( | |
| './brazilian-ecommerce/olist_products_dataset.csv') | |
| return products_DF | |
| def extract_product_translations(): | |
| products_category_translations_DF = pd.read_csv( | |
| './brazilian-ecommerce/product_category_name_translation.csv', | |
| index_col='product_category_name') | |
| return products_category_translations_DF | |
| def extract_geolocation_csv(): | |
| geolocation_DF = pd.read_csv( | |
| './brazilian-ecommerce/olist_geolocation_dataset.csv') | |
| return geolocation_DF | |
| def extract_marketing_leads_csv(): | |
| marketing_leads_DF = pd.read_csv( | |
| './marketing-funnel-olist/olist_marketing_qualified_leads_dataset.csv') | |
| return marketing_leads_DF | |
| def extract_marketing_closed_deals_csv(): | |
| marketing_closed_deals_DF = | |
| pd.read_csv('./marketing-funnel-olist/olist_closed_deals_dataset.csv') | |
| return marketing_closed_deals_DF | |
| def transform_category_names(products_DF, products_category_translations_DF): | |
| products_DF['product_category_name'] = products_DF['product_category_name'].apply( | |
| lambda x: english_category_name(products_category_translations_DF, x)) | |
| return products_DF | |
| def transform_orders_dates(orders_DF): | |
| orders_DF['order_delivered_customer_date'] = pd.to_datetime( | |
| orders_DF['order_delivered_customer_date']) | |
| orders_DF['order_purchase_timestamp'] = pd.to_datetime( | |
| orders_DF['order_purchase_timestamp']) | |
| orders_DF['order_approved_at'] = pd.to_datetime( | |
| orders_DF['order_approved_at']) | |
| orders_DF['order_delivered_carrier_date'] = pd.to_datetime( | |
| orders_DF['order_delivered_carrier_date']) | |
| orders_DF['order_estimated_delivery_date'] = pd.to_datetime( | |
| orders_DF['order_estimated_delivery_date']) | |
| return orders_DF | |
| def transform_order_items_payments(orders_DF, payments_DF): | |
| return pd.merge(orders_DF, payments_DF, on='order_id', how='inner') | |
| def transform_order_items_payments_products(order_list_payments, products_DF): | |
| return pd.merge(order_list_payments, products_DF, on='product_id', how='inner') | |
| def transform_orders_customers(orders_payments_products, customers_DF): | |
| return pd.merge(orders_payments_products, customers_DF, how='inner', on='customer_id') | |
| def transform_sellers_marketing_closed(sellers_DF, marketing_closed_deals_DF): | |
| return pd.merge(sellers_DF, marketing_closed_deals_DF, how='left', on='seller_id') | |
| def transform_sellers(orders_customers_products, sellers_marketing): | |
| return pd.merge(orders_customers_products, sellers_marketing, how='inner', on='seller_id') | |
| def main(): | |
| # extraction | |
| payments_DF = client.submit(extract_payments_csv) | |
| order_items_DF = client.submit(extract_order_items_csv) | |
| sellers_DF = client.submit(extract_sellers_csv) | |
| orders_DF = client.submit(extract_orders_csv) | |
| products_DF = client.submit(extract_products_csv) | |
| customers_DF = client.submit(extract_customers_csv) | |
| product_category_translations_DF = client.submit( | |
| extract_product_translations) | |
| geolocation_DF = client.submit(extract_geolocation_csv) | |
| marketing_leads_DF = client.submit(extract_marketing_leads_csv) | |
| marketing_closed_deals_DF = client.submit( | |
| extract_marketing_closed_deals_csv) | |
| # transformation | |
| orders_DF_transformed = client.submit( | |
| transform_orders_dates, orders_DF) | |
| products_DF_transformed = client.submit( | |
| transform_category_names, products_DF, product_category_translations_DF) | |
| orders_payments = client.submit( | |
| transform_order_items_payments, orders_DF_transformed, payments_DF) | |
| orders_items_payments = client.submit( | |
| transform_order_items_payments, orders_payments, order_items_DF) | |
| order_items_payments_products = client.submit( | |
| transform_order_items_payments_products, orders_items_payments, products_DF_transformed) | |
| orders_customers_products = client.submit( | |
| transform_orders_customers, order_items_payments_products, customers_DF) | |
| sellers_marketing = client.submit( | |
| transform_sellers_marketing_closed, sellers_DF, marketing_closed_deals_DF) | |
| sellers_customers_orders_products = client.submit( | |
| transform_sellers, sellers_marketing, orders_customers_products) | |
| # load | |
| olist_data_flat = sellers_customers_orders_products.result( | |
| ).to_parquet('olist_data_flat', compression='brotli') | |
| main() |
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| from prefect import task, Flow | |
| from dask.distributed import Client, LocalCluster | |
| from prefect.engine.executors import DaskExecutor | |
| import pandas as pd | |
| from english_category_name import * | |
| import dataset | |
| cluster = LocalCluster() | |
| client = Client(cluster) | |
| @task | |
| def extract_payments_csv(): | |
| payments_DF = pd.read_csv('./brazilian-ecommerce/olist_order_payments_dataset.csv') | |
| return payments_DF | |
| @task | |
| def extract_order_items_csv(): | |
| order_items_DF = pd.read_csv('./brazilian-ecommerce/olist_order_items_dataset.csv') | |
| return order_items_DF | |
| @task | |
| def extract_customers_csv(): | |
| customers_DF = pd.read_csv('./brazilian-ecommerce/olist_customers_dataset.csv') | |
| return customers_DF | |
| @task | |
| def extract_orders_csv(): | |
| orders_DF = pd.read_csv('./brazilian-ecommerce/olist_orders_dataset.csv') | |
| return orders_DF | |
| @task | |
| def extract_sellers_csv(): | |
| sellers_DF = pd.read_csv('./brazilian-ecommerce/olist_sellers_dataset.csv') | |
| return sellers_DF | |
| @task | |
| def extract_products_csv(): | |
| products_DF = pd.read_csv('./brazilian-ecommerce/olist_products_dataset.csv') | |
| return products_DF | |
| @task | |
| def extract_product_translations(): | |
| products_category_translations_DF = pd.read_csv('./brazilian-ecommerce/product_category_name_translation.csv', | |
| index_col='product_category_name') | |
| return products_category_translations_DF | |
| @task | |
| def extract_geolocation_csv(): | |
| geolocation_DF = pd.read_csv('./brazilian-ecommerce/olist_geolocation_dataset.csv') | |
| return geolocation_DF | |
| @task | |
| def extract_marketing_leads_csv(): | |
| marketing_leads_DF = pd.read_csv('./marketing-funnel-olist/olist_marketing_qualified_leads_dataset.csv') | |
| return marketing_leads_DF | |
| @task | |
| def extract_marketing_closed_deals_csv(): | |
| marketing_closed_deals_DF = pd.read_csv('./marketing-funnel-olist/olist_closed_deals_dataset.csv') | |
| return marketing_closed_deals_DF | |
| @task | |
| def transform_category_names(products_DF, products_category_translations_DF): | |
| products_DF['product_category_name'] = products_DF['product_category_name'].apply(lambda x: english_category_name(products_category_translations_DF, x)) | |
| return products_DF | |
| @task | |
| def transform_orders_dates(orders_DF): | |
| orders_DF['order_delivered_customer_date'] = pd.to_datetime(orders_DF['order_delivered_customer_date']) | |
| orders_DF['order_purchase_timestamp'] = pd.to_datetime(orders_DF['order_purchase_timestamp']) | |
| orders_DF['order_approved_at'] = pd.to_datetime(orders_DF['order_approved_at']) | |
| orders_DF['order_delivered_carrier_date'] = pd.to_datetime(orders_DF['order_delivered_carrier_date']) | |
| orders_DF['order_estimated_delivery_date'] = pd.to_datetime(orders_DF['order_estimated_delivery_date']) | |
| return orders_DF | |
| @task | |
| def connect_sql_file(): | |
| db = dataset.connect('sqlite://olist_data.db') | |
| return db | |
| @task | |
| def transform_order_items_payments(orders_DF, payments_DF): | |
| return pd.merge(orders_DF, payments_DF, on='order_id', how='inner') | |
| @task | |
| def transform_order_items_payments_products(order_list_payments, products_DF): | |
| return pd.merge(order_list_payments, products_DF, on='product_id', how='inner') | |
| @task | |
| def transform_orders_customers(orders_payments_products, customers_DF): | |
| return pd.merge(orders_payments_products, customers_DF, how='inner', on='customer_id') | |
| @task | |
| def transform_sellers_marketing_closed(sellers_DF, marketing_closed_deals_DF): | |
| return pd.merge(sellers_DF, marketing_closed_deals_DF, how='left', on='seller_id') | |
| @task | |
| def transform_sellers(orders_customers_products, sellers_marketing): | |
| return pd.merge(orders_customers_products, sellers_marketing, how='inner', on='seller_id') | |
| def main(): | |
| #setup Flow | |
| with Flow('olist_ETL') as flow: | |
| #extraction | |
| payments_DF = extract_payments_csv() | |
| order_items_DF = extract_order_items_csv() | |
| sellers_DF = extract_sellers_csv() | |
| orders_DF = extract_orders_csv() | |
| products_DF = extract_products_csv() | |
| customers_DF = extract_customers_csv() | |
| product_category_translations_DF = extract_product_translations() | |
| geolocation_DF = extract_geolocation_csv() | |
| marketing_leads_DF = extract_marketing_leads_csv() | |
| marketing_closed_deals_DF = extract_marketing_closed_deals_csv() | |
| #transformation | |
| orders_DF_transformed = transform_orders_dates(orders_DF) | |
| products_DF_transformed = transform_category_names(products_DF, product_category_translations_DF) | |
| orders_payments = transform_order_items_payments(orders_DF_transformed, payments_DF) | |
| orders_items_payments = transform_order_items_payments(orders_payments, order_items_DF) | |
| order_items_payments_products = transform_order_items_payments_products(orders_items_payments, products_DF_transformed) | |
| orders_customers_products = transform_orders_customers(order_items_payments_products, customers_DF) | |
| sellers_marketing = transform_sellers_marketing_closed(sellers_DF, marketing_closed_deals_DF) | |
| sellers_customers_orders_products = transform_sellers(sellers_marketing, orders_customers_products) | |
| #load | |
| olist_data_flat = sellers_customers_orders_products.result.to_parquet('olist_data_flat', compression='brotli') | |
| executor = DaskExecutor(address=client.scheduler.address) | |
| flow.run(executor=executor) | |
| if __name__ == "__main__": | |
| main() | |
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