Пример #1
0
def read_sales_over_inventory():
    table_sales_by_category = Table(connection,
        q.query_sales_by_movie)
    table_inventory_by_category = Table(connection,
        q.query_movie_inventory_by_category)
    table_inventory_by_category.df.columns = ['category_id', 'name',
        'inventory_count']
    table_sales_by_category.df['sales_over_inventory'] = \
        table_sales_by_category.df['total_sales'] / \
        table_inventory_by_category.df['inventory_count']
    columns = ['Category', 'Total Sales', 'Sales Over Inventory']
    result_json = table_sales_by_category.get_json_rep(columns)
    return result_json
Пример #2
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def read_films_in_inventory_by_store():
    table = Table(connection, q.query_films_in_inventory_by_store)
    columns = ['Store ID', 'Number of Films']
    result_json = table.get_json_rep(columns)
    return result_json
Пример #3
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def read_films_in_inventory_by_category():
    table = Table(connection, q.query_movie_inventory_by_category)
    columns = ['Category', 'Inventory Count']
    table.df = table.df[['name', 'count(*)']]
    result_json = table.get_json_rep(columns)
    return result_json
Пример #4
0
def read_sales_last_month_over_time():
    table = Table(connection, q.query_payments_by_date_month)
    table.df = table.df[['day(payment_date)', 'sum(amount)']]
    columns = ['Day', 'Payments']
    result_json = table.get_json_rep(columns)
    return result_json