Module for parsing shopping lists and dinner menus and compiling shopping lists.
Project description
groceries
groceries
is a package for parsing shopping lists and dinner menus and compiling shopping lists with all the items.
Install
pip install groceries-tobiasli
Usage
groceries
contains a set of classes that solve a lot of shopping and food-related problems:
Ingredient
is a container for a food item, and parses amount, unit and item name from an arbitrary string.GroceryList
is a container forIngredients
and handles summation of all ingredients, as well as algebra.Cookbook
is a container forRecipe
, and make them searchable.Menu
is the class returned when you use aCookbook
to parse an actual, typed shopping list. It contains the recipes and ingredients that are parsed from the shopping list.
GroceryList
GroceryList
is the base component for most of the functionality in groceries
. A GroceryList
accepts groceries
as strings on a human readable format. They are added to a GroceryList
as Ingredient
instances. Groceries lists can
be added, subtracted and multiplied.
from groceries import GroceryList
gl = GroceryList()
gl.add_ingredients([
'2 pounds sugar',
'2 kg sugar',
'chocolate',
'4 floz foo',
'4 tbs foo'
])
print(gl)
# <GroceryList object: 3 ingredients
# chocolate,
# 1.78 dl foo,
# 2.91 kg sugar
# >
gl = gl - GroceryList(ingredients=['953.5 g sugar', 'chocolate']) * 2
print(gl)
# <GroceryList object: 2 ingredients
# 1.78 dl foo,
# 1.00 kg sugar
# >
The base structure for an Ingredient
string is
Optional[amount] Optional[unit] grocery_name, Optional[comment]
.
Recipe and Cookbooks
The GroceryList
class is used to represent ingredients in recipes. Recipe
is a class that contains information
on how to cook a specific meal. You can have multiple Recipes
and add them to a Cookbook
.
The recipes are searchable both on name and tags.
# Demo scripts for grocery readme.
from groceries import Recipe, Cookbook
recipe1 = Recipe(
name='Carbonara',
tags=['pasta', 'fast', 'egg', 'bacon'],
time=20,
serves=2,
how_to='''Cook pasta. As pasta is preparing, fry bacon. When bacon is done, add frozen pees and continue frying
until pees are cooked. Mix finished pasta with bacon and pees. Add eggs and grated parmesan and stir. Season with
salt and pepper.''',
ingredients=[
'150 g spaghetti',
'100 g bacon',
'100 g frozen green pees',
'2 eggs',
'50 g parmesan',
'salt',
'pepper'
])
recipe2 = Recipe(name="Mac'n cheese", tags=['pasta', 'fast'], time=5, serves=2,
how_to='''Cook mac. Add cheese. serve.''', ingredients=['150 g maccaroni', '100 g cheese', ])
recipe3 = Recipe(name='Chocolate', tags=['sweet', 'dessert'], time=2, serves=2, how_to='''Eat chocolate.''',
ingredients=['200 g chocolate'])
cookbook = Cookbook(recipes=[recipe1, recipe2, recipe3])
# Accepts fuzzy string matching:
print(cookbook.find_recipe('mac cheese'))
# <Recipe object: Mac'n cheese>
# Mac'n cheese is the first match for pasta, but searches are cycling.
# So when performing a category match again you won't be presented
# with the same recipe again:
print(cookbook.find_recipe('pasta'))
# <Recipe object: Carbonara>
Menu
Menu
is a class for parsing an entire weeks worth of shopping,
with syntax for meals on specific days as well as regular groceries.
# Continuation from previous code block.
menu = cookbook.parse_menu('''Monday: mac cheese
Tuesday: sweet
Wednesday: pasta
2 tbs coffee
1 floz baked beans
1 banana
2 banana
4 liters coffee''')
print(menu.generate_processed_menu_str())
# Monday: Mac'n cheese til 2
# Tuesday: Chocolate til 2
# Wednesday: Carbonara til 2
# 0.30 dl coffee
# 0.30 dl baked beans
# 1 banana
# 2 banana
# 4 l coffee
print(menu.groceries)
# <GroceryList object: 13 ingredients
# 100 g bacon,
# 0.30 dl baked beans,
# 3 banana,
# 100 g cheese,
# 200 g chocolate,
# 4.03 l coffee,
# 2 eggs,
# 100 g frozen green pees,
# 150 g maccaroni,
# 50 g parmesan,
# pepper,
# salt,
# 150 g spaghetti
# >
Changing configs
groceries
has built in functionality to change whatever configuration
defines the units, ingredient rules and formatting.
To change a particular config, either
- modify an existing config at runtime,
- use one of the other supplied configs, or
- create your own from one of the
groceries.configs.config_types
.
To set a specific config, use config.set_config()
.
For Units, specifically, we need to reload the unit definition if the
config relating to unit handling is changed. This is done via
units.reload_units()
from groceries.config.config_handler import config
from groceries.config.config_types import UnitDefinition
from groceries.config.unit_definition.metric_imperial import unit_definition
from groceries.units import units
from groceries.groceries import Ingredient
ing = Ingredient('2.75 inches')
print(ing.ingredient_formatted())
# 2 3/4 inches
The unit is formatted according to formatting rules that prioritize perfect fractions of inches. But we want to force formatting to metric.
We look at the rules and remove the formatting rule for inches:
for rule in config.unit_definition.formatting['length']:
print(rule)
# {'unit': 'cm', 'checks': [EqualTo(0)]}
# {'unit': 'inch', 'checks': [LessThan(0.5), FractionOf(0.0254)]}
# {'unit': 'mm', 'checks': [LessThan(0.01)]}
# {'unit': 'cm', 'checks': [GreaterThanOrEqualTo(0.01), LessThan(1)]}
# {'unit': 'm', 'checks': [AlwaysTrue()]}
# Remove inches from formatting rule for length:
new_formatting = unit_definition.formatting
new_formatting['length'] = [rule for rule in new_formatting['length'] if rule['unit'] != 'inch']
new_definition = UnitDefinition(
units=unit_definition.units,
formatting=new_formatting,
constants=unit_definition.constants
)
Now we can set the new config and reload the units definition:
config.set_config(new_definition)
units.reload_units()
The new formatting will yield metric, as inches is removed from the formatting definition.
print(Ingredient('2 3/4 inches').ingredient_formatted())
# 6.98 cm
So, happy shopping!
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file groceries-tobiasli-1.1.0.tar.gz
.
File metadata
- Download URL: groceries-tobiasli-1.1.0.tar.gz
- Upload date:
- Size: 20.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.6.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.7.1
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b5135729dd21fff9c7e3f962e9a57321014aa4eb7a5a9aef53c776e9efb26234 |
|
MD5 | af2720e67d9fee4142d00e67e8abc286 |
|
BLAKE2b-256 | 8f0d73350c2ec651d2faf6028cbc0b2b6d310edc77616cc012f61f6e54add348 |