1 files changed, 0 insertions, 91 deletions
diff --git a/src/fact_sales_order.py b/src/fact_sales_order.py
deleted file mode 100644
index 425b144..0000000
--- a/src/fact_sales_order.py
+++ /dev/null
@@ -1,91 +0,0 @@
-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
-
-def create_fact_sales_order(dict_of_df):
-    df_sales = dict_of_df["sales_order"]
-    df_sales.index.name = "sales_record_id"
-    df_sales["created_date"] = pd.to_datetime(df_sales["created_at"]).dt.date
-    df_sales["created_time"] = pd.to_datetime(df_sales["created_at"]).dt.time
-    df_sales["last_updated_date"] = pd.to_datetime(df_sales["last_updated"]).dt.date
-    df_sales["last_updated_time"] = pd.to_datetime(df_sales["last_updated"]).dt.time
-    pd.merge(dict_of_df["staff"], df_sales["sales_staff_id"], on="staff_id", how="left")
-    # df_sales.rename(columns={"staff_id": "sales_staff_id"})
-    fact_sales_order = df_sales.loc[:,[
-        "sales_record_id",
-        "sales_order_id",
-        "created_date",
-        "created_time",
-        "last_updated_date",
-        "last_updated_time",
-        "sales_staff_id",
-        "counterparty_id",
-        "units_sold",
-        "unit_price",
-        "currency_id",
-        "design_id",
-        "agreed_payment_date",
-        "agreed_delivery_date",
-        "agreed_delivery_location_id"
-    ]]
-    return fact_sales_order
-
-# TO DO:                                    
-# complete dim_date from merged fact table
-# merge dataframes into one dataframe
-# remove duplicates
-# test dim_date and fact_sales_order
-
-def create_sales_star_schema(dict_of_df):
-    dim_design = create_dim_design(dict_of_df)
-    dim_staff = create_dim_staff(dict_of_df)
-    dim_currency = create_dim_currency(dict_of_df)
-    dim_date = create_dim_date(dict_of_df)
-    
-    fact_sales_order = create_fact_sales_order(dict_of_df)
-    
-    fact_sales_order = fact_sales_order.merge(dim_design, on='design_id', how='left')
-    fact_sales_order = fact_sales_order.merge(dim_staff, left_on='sales_staff_id', right_on='staff_id', how='left')
-    fact_sales_order = fact_sales_order.merge(dim_currency, on='currency_id', how='left')
-    fact_sales_order = fact_sales_order.merge(dim_date, left_on='agreed_delivery_date', right_on='date_id', how='left')
-    
-    return fact_sales_order
-
-
-
-