library(autorecipes)
#>
#> Attaching package: 'autorecipes'
#> The following objects are masked from 'package:base':
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#> units, weekdays
library(magrittr)Background
As an unadventurous, by-the-recipe cook, I had accumulated a set of
~25 go-to meals that were chosen from each week. Over time, this
selection became repetitive, which motivated the development of
autorecipes and autogroceries.
This package, autorecipes, automates the task of creating a
weekly meal plan and corresponding shopping list of ingredients.
autogroceries automates the ordering of the
ingredients.
Basic usage
Example recipes
autorecipes defines a RecipeBook-class that
stores the names and ingredients of recipes. autorecipes
also includes a set of 26 example recipes in
autorecipes::recipebook_example.
recipebook <- recipebook_example
class(recipebook)
#> [1] "RecipeBook"
#> attr(,"package")
#> [1] "autorecipes"
recipes(recipebook) %>% head()
#> # A tibble: 6 × 5
#> index names ingredients fav last_eaten
#> <int> <chr> <list> <lgl> <date>
#> 1 1 Akoori Eggs with Spinach & Potato <Ingrdnts> FALSE NA
#> 2 2 Crispy Duck with Fava Beans & Caramelised … <Ingrdnts> FALSE NA
#> 3 3 Chicken with Rosemary Plumns <Ingrdnts> FALSE NA
#> 4 4 Chickpea & Sweet Potato Masala <Ingrdnts> FALSE NA
#> 5 5 Gaucho Steaks with Chimichurri Salad <Ingrdnts> FALSE NA
#> 6 6 Chipotle Bean Taco Salad <Ingrdnts> FALSE NASet your favourite recipes
autorecipes allows users to set their favorite recipes
using add_favourites() and rm_favourites().
This information can be used to determine the subset of recipes that
will enter your meal plan.
# set the first 3 recipes as favourites
recipebook <- add_favourites(recipebook, 1:3)
recipes(recipebook) %>% head()
#> # A tibble: 6 × 5
#> index names ingredients fav last_eaten
#> <int> <chr> <list> <lgl> <date>
#> 1 1 Akoori Eggs with Spinach & Potato <Ingrdnts> TRUE NA
#> 2 2 Crispy Duck with Fava Beans & Caramelised … <Ingrdnts> TRUE NA
#> 3 3 Chicken with Rosemary Plumns <Ingrdnts> TRUE NA
#> 4 4 Chickpea & Sweet Potato Masala <Ingrdnts> FALSE NA
#> 5 5 Gaucho Steaks with Chimichurri Salad <Ingrdnts> FALSE NA
#> 6 6 Chipotle Bean Taco Salad <Ingrdnts> FALSE NACreate a meal plan
autorecipes allows you to create meal plan from your
RecipeBook-class object. For this, you can set the days and
meals you would like to plan for and also whether you only want to
consider your favourite recipes.
create_meal_plan() can either select recipes randomly
(method = "random") or take into account when you have last
chosen a recipe for a previous meal plan
(method = "auto").
recipebook <- create_meal_plan(
recipebook,
which_days = c("Wed", "Thurs", "Fri", "Sat", "Sun"),
which_meals = "Dinner",
method = "auto",
fav_only = TRUE
)
meal_plan(recipebook)
#> # A tibble: 5 × 7
#> day meal recipe_index names ingredients fav last_eaten
#> <fct> <fct> <int> <chr> <list> <lgl> <date>
#> 1 Wed Dinner 3 Chicken with Rosemary … <Ingrdnts> TRUE 2022-03-26
#> 2 Thurs Dinner 1 Akoori Eggs with Spina… <Ingrdnts> TRUE 2022-03-26
#> 3 Fri Dinner 2 Crispy Duck with Fava … <Ingrdnts> TRUE 2022-03-26
#> 4 Sat Dinner 3 Chicken with Rosemary … <Ingrdnts> TRUE 2022-03-26
#> 5 Sun Dinner 2 Crispy Duck with Fava … <Ingrdnts> TRUE 2022-03-26Create shopping list
create_shopping_list() aggregates all of the ingredients
required to make your meal plan into a shopping list. The
filter_method determines whether to remove store cupboard
ingredients (e.g. salt) that you are unlikely to want to order every
week.
The outputted shopping list is designed to then be inputted into autogroceries.
recipebook <- create_shopping_list(recipebook, filter_method = "minimal")
shopping_list(recipebook)
#> # A tibble: 18 × 2
#> names n
#> <chr> <int>
#> 1 rosemary 2
#> 2 baby spinach 1
#> 3 chicken drumsticks 1
#> 4 chicken thighs 1
#> 5 chilli 1
#> 6 coriander 1
#> 7 duck legs 1
#> 8 fava beans 1
#> 9 french beans 1
#> 10 garam masala 1
#> 11 mixed baby tomatoes 1
#> 12 plums 1
#> 13 potatoes 1
#> 14 rainbow carrots 1
#> 15 salad potatoes 1
#> 16 savoy cabbage 1
#> 17 thyme 1
#> 18 white wine 1Session info
Show/hide
#> ─ Session info ───────────────────────────────────────────────────────────────────────────────────────────────────────
#> setting value
#> version R Under development (unstable) (2022-03-14 r81896)
#> os Ubuntu 20.04.4 LTS
#> system x86_64, linux-gnu
#> ui X11
#> language en
#> collate en_US.UTF-8
#> ctype en_US.UTF-8
#> tz UTC
#> date 2022-03-26
#> pandoc 2.17.1.1 @ /usr/local/bin/ (via rmarkdown)
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#> ─ Packages ───────────────────────────────────────────────────────────────────────────────────────────────────────────
#> package * version date (UTC) lib source
#> autorecipes * 1.0.1 2022-03-26 [1] local
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