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read_from_yaml.py
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read_from_yaml.py
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import os
import yaml
from data import *
def create_sorted_ingredient_overview(recipe):
ingredients = dict()
for step in recipe.steps:
for ingr in step.ingredients_used:
name = ingr.name
amount = 0
if ingr.amount:
amount = ingr.amount
unit = ingr.unit
comment = ''
if ingr.comment:
comment = ingr.comment
recipe_link = ''
if ingr.recipe_link:
recipe_link = ingr.recipe_link
if not name in ingredients:
ingredients[name] = [(amount, unit, comment, recipe_link)]
else:
added = False
for index,item in enumerate(ingredients[name]):
if unit == item[1]:
ingredients[name][index] = (item[0]+amount, unit, item[2]+comment, recipe_link)
added = True
if not added:
index = 0
for item in ingredients[name]:
if item[0] > amount:
index += 1
else:
break
ingredients[name].insert(index, (amount, unit, comment, recipe_link))
sorted_ingredients = sorted(ingredients.items(), key=lambda kv: kv[1][0], reverse=True)
for kv in sorted_ingredients:
name = kv[0]
for value in kv[1]:
amount = value[0]
if amount == 0:
amount = ''
ingr_overview = IngredientsOverview(name=name, total_amount=amount, unit=value[1], comment=value[2], recipe_link=value[3])
recipe.ingredients.append(ingr_overview)
def read_steps(yaml, recipe):
if 'steps' in yaml:
id = 0
for step in yaml['steps']:
active_time = 0
passive_time = 0
if 'active-time' in step:
active_time = step['active-time']
if 'passive-time' in step:
passive_time = step['passive-time']
time = StepTime(active=active_time, passive=passive_time)
type = step['type']
temperature = step['temp']
step_data = Step(id=id, time=time, step_type=type, temperature=temperature)
if 'short' in step:
step_data.short = step['short']
if 'long' in step:
step_data.long = step['long']
if 'ingredients' in step:
add_ingredients_from_step_to_step_data(step, step_data)
if 'refined_ingredients' in step:
add_refined_ingredients_from_step_to_step_data(step, step_data)
if 'dependencies' in step:
add_dependencies_to_step_data(step, step_data)
recipe.steps.append(step_data)
id += 1
else:
print(f'Recipe {recipe.name} has no steps.')
def add_ingredients_from_step_to_step_data(step, step_data):
for ingr in step['ingredients']:
name = ingr['name']
amount = ingr['amount'] # might fail?
ingredient = Ingredient(name=name, amount=amount)
#if not name in ingredients:
#ingredients[name] = IngredientsOverview(name,
if 'unit' in ingr:
ingredient.unit = ingr['unit']
if 'comment' in ingr:
ingredient.comment = ingr['comment']
#ingredients[name].comment = ingredient.comment
if 'recipe-link' in ingr:
ingredient.recipe_link = ingr['recipe-link']
step_data.ingredients_used.append(ingredient)
def add_refined_ingredients_from_step_to_step_data(step, step_data):
for ingr in step['refined_ingredients']:
ingredient = RefinedIngredient(name=ingr['name'])
if 'amount' in ingr:
ingredient.amount = ingr['amount']
if 'unit' in ingr:
ingredient.unit = ingr['unit']
step_data.refined_ingredients_used.append(ingredient)
def add_dependencies_to_step_data(step, step_data):
for dep in step['dependencies']:
step_data.depends_on.append( step_data.id + int(dep) )
# Sort the list to try to make the generated graph look a bit prettier.
# The desired effect is that the steps occurring earlier are processed earlier, so that earlier entries get smaller y values.
step_data.depends_on.sort()
def read_source(yaml_source):
name = yaml_source['name']
source = Source(name)
if 'type' in yaml_source:
source.originality = yaml_source['type']
if 'author' in yaml_source:
source.author = yaml_source['author']
if 'publication' in yaml_source:
source.publication = yaml_source['publication']
if 'url' in yaml_source:
source.url = yaml_source['url']
if 'date' in yaml_source:
source.date = yaml_source['date']
return source
def read_recipe(yaml):
name = yaml['recipe']
created = yaml['date_created']
if 'last_updated' in yaml:
updated = yaml['last_updated']
else:
updated = created
recipe = Recipe(name, created, updated)
if 'not_ready_for_publish' in yaml:
recipe.not_ready_for_publish = yaml['not_ready_for_publish']
else:
recipe.not_ready_for_publish = False
if 'image' in yaml:
recipe.image = yaml['image']
if 'description' in yaml:
recipe.description = yaml['description']
if 'source' in yaml:
recipe.source = read_source(yaml['source'])
if 'yield' in yaml:
# recipe.yields = Yield(yaml['yield']['amount'], yaml['yield']['name'])
for yield_data_source in yaml['yield']:
yield_data = Yield(yield_data_source['amount'], yield_data_source['unit'])
if 'qualification' in yield_data_source:
yield_data.qualification = yield_data_source['qualification']
recipe.yields.append(yield_data)
return recipe
def read_recipe_into_data(name):
path = os.path.join('recipes', name+'.yaml')
with open(path, 'r', encoding='utf-8') as recipe_file:
yaml_data = yaml.load(recipe_file, Loader=yaml.FullLoader)
recipe = read_recipe(yaml_data)
read_steps(yaml_data, recipe)
create_sorted_ingredient_overview(recipe)
return recipe
if __name__ == "__main__":
#r = read_recipe_into_data("simons-burger")
#r = read_recipe_into_data("muffins-blueberry-and-basil")
r = read_recipe_into_data("saffron-knots")
print(r)
for s in r.steps:
print(s.short)
for i in r.ingredients:
print(f"{i.total_amount} {i.unit} {i.name}")
import timeline
timeline.generate_svg(r)
timeline.print_nodes(r)