From 548b8678e4d5f725e086f0e4eb115c9aa11b55be Mon Sep 17 00:00:00 2001 From: T-Aji Date: Thu, 22 Aug 2024 10:48:54 +0100 Subject: passing tests create_dim_design and create_dim_staff --- src/fact_sales_order.py | 50 +++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 50 insertions(+) create mode 100644 src/fact_sales_order.py (limited to 'src/fact_sales_order.py') diff --git a/src/fact_sales_order.py b/src/fact_sales_order.py new file mode 100644 index 0000000..870a030 --- /dev/null +++ b/src/fact_sales_order.py @@ -0,0 +1,50 @@ +import pandas as pd + + +def create_dim_design(dict_of_df): + df_design = dict_of_df["design"] + dim_design = df_design.loc[:, ["design_id", "design_name", "file_name", "file_location"]] + return dim_design + +def create_dim_staff(dict_of_df): + staff_department = pd.merge(dict_of_df["staff"], dict_of_df["department"], on='department_id', how="left") + dim_staff = staff_department.loc[:, ['staff_id', 'first_name', 'last_name', 'department_name', 'location', 'email_address']] + return dim_staff + +def create_dim_currency(dict_of_df): + df_currency = dict_of_df["currency"] + dim_currency = df_currency.loc[:, ["currency_id", "currency_code"]] + mappings = { + "GBP": "Pound", + "USD": "US Dollar", + "EUR": "Euro" + } + dim_currency["currency_name"] = dim_currency["currency_code"].map(mappings) + return dim_currency + + +def create_dim_date(dict_of_df): + df_sales = dict_of_df["sales"] + df_sales = df_sales.loc[:, ["agreed_delivery_date"]] + df_sales["agreed_delivery_date"] = pd.to_datetime["agreed_delivery_date"] + df_sales["year"] = df_sales["agreed_delivery_date"].dt.year + df_sales["month"] = df_sales["agreed_delivery_date"].dt.month + df_sales["day"] = df_sales["agreed_delivery_date"].dt.day + df_sales["day_of_week"] = df_sales["agreed_delivery_date"].dt.dayofweek + df_sales["day_name"] = df_sales["agreed_delivery_date"].dt.day_name() + df_sales["month_name"] = df_sales["agreed_delivery_date"].dt.month_name() + df_sales["quarter"] = df_sales["agreed_delivery_date"].dt.quarter() + dim_date = ["date_id", "year", "month", "day", "day_of_week", "day_name", "month_name", "quarter"] #series.dt.quarter() + return dim_date + +# repeat ln 52 - 60 for each column +# merge dataframes into one dataframe +# remove duplicates + + + + + +# TO DO: +# complete dim_date +# fact_sales_order -- cgit v1.2.3