mirror of
https://github.com/TandoorRecipes/recipes.git
synced 2026-01-03 05:11:31 -05:00
make automation parameters case insensitive on search
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@@ -4,6 +4,7 @@ import unicodedata
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from django.core.cache import caches
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from django.db.models import Q
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from django.db.models.functions import Lower
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from cookbook.models import Automation, Food, Ingredient, Unit
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@@ -32,7 +33,7 @@ class IngredientParser:
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caches['default'].touch(FOOD_CACHE_KEY, 30)
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else:
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for a in Automation.objects.filter(space=self.request.space, disabled=False, type=Automation.FOOD_ALIAS).only('param_1', 'param_2').order_by('order').all():
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self.food_aliases[a.param_1] = a.param_2
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self.food_aliases[a.param_1.lower()] = a.param_2
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caches['default'].set(FOOD_CACHE_KEY, self.food_aliases, 30)
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UNIT_CACHE_KEY = f'automation_unit_alias_{self.request.space.pk}'
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@@ -41,7 +42,7 @@ class IngredientParser:
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caches['default'].touch(UNIT_CACHE_KEY, 30)
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else:
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for a in Automation.objects.filter(space=self.request.space, disabled=False, type=Automation.UNIT_ALIAS).only('param_1', 'param_2').order_by('order').all():
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self.unit_aliases[a.param_1] = a.param_2
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self.unit_aliases[a.param_1.lower()] = a.param_2
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caches['default'].set(UNIT_CACHE_KEY, self.unit_aliases, 30)
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NEVER_UNIT_CACHE_KEY = f'automation_never_unit_{self.request.space.pk}'
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@@ -50,7 +51,7 @@ class IngredientParser:
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caches['default'].touch(NEVER_UNIT_CACHE_KEY, 30)
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else:
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for a in Automation.objects.filter(space=self.request.space, disabled=False, type=Automation.NEVER_UNIT).only('param_1', 'param_2').order_by('order').all():
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self.never_unit[a.param_1] = a.param_2
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self.never_unit[a.param_1.lower()] = a.param_2
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caches['default'].set(NEVER_UNIT_CACHE_KEY, self.never_unit, 30)
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TRANSPOSE_WORDS_CACHE_KEY = f'automation_transpose_words_{self.request.space.pk}'
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@@ -60,7 +61,7 @@ class IngredientParser:
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else:
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i = 0
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for a in Automation.objects.filter(space=self.request.space, disabled=False, type=Automation.TRANSPOSE_WORDS).only('param_1', 'param_2').order_by('order').all():
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self.transpose_words[i] = [a.param_1, a.param_2]
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self.transpose_words[i] = [a.param_1.lower(), a.param_2.lower()]
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i += 1
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caches['default'].set(TRANSPOSE_WORDS_CACHE_KEY, self.transpose_words, 30)
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else:
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@@ -80,11 +81,11 @@ class IngredientParser:
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else:
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if self.food_aliases:
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try:
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return self.food_aliases[food]
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return self.food_aliases[food.lower()]
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except KeyError:
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return food
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else:
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if automation := Automation.objects.filter(space=self.request.space, type=Automation.FOOD_ALIAS, param_1=food, disabled=False).order_by('order').first():
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if automation := Automation.objects.filter(space=self.request.space, type=Automation.FOOD_ALIAS, param_1__iexact=food, disabled=False).order_by('order').first():
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return automation.param_2
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return food
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@@ -99,11 +100,11 @@ class IngredientParser:
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else:
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if self.transpose_words:
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try:
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return self.unit_aliases[unit]
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return self.unit_aliases[unit.lower()]
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except KeyError:
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return unit
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else:
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if automation := Automation.objects.filter(space=self.request.space, type=Automation.UNIT_ALIAS, param_1=unit, disabled=False).order_by('order').first():
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if automation := Automation.objects.filter(space=self.request.space, type=Automation.UNIT_ALIAS, param_1__iexact=unit, disabled=False).order_by('order').first():
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return automation.param_2
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return unit
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@@ -249,14 +250,14 @@ class IngredientParser:
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never_unit = False
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if self.never_unit:
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try:
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new_unit = self.never_unit[tokens[1]]
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new_unit = self.never_unit[tokens[1].lower()]
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never_unit = True
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except KeyError:
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return tokens
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else:
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if automation := Automation.objects.filter(space=self.request.space, type=Automation.NEVER_UNIT, param_1__in=[
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tokens[1], alt_unit], disabled=False).order_by('order').first():
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if automation := Automation.objects.annotate(param_1_lower=Lower('param_1')).filter(space=self.request.space, type=Automation.NEVER_UNIT, param_1_lower__in=[
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tokens[1].lower(), alt_unit.lower()], disabled=False).order_by('order').first():
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new_unit = automation.param_2
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never_unit = True
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@@ -277,18 +278,19 @@ class IngredientParser:
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return ingredient
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else:
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tokens = ingredient.replace(',', ' ').split()
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tokens = [x.lower() for x in ingredient.replace(',', ' ').split()]
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if self.transpose_words:
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filtered_rules = {}
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for key, value in self.transpose_words.items():
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if value[0] in tokens and value[1] in tokens:
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filtered_rules[key] = value
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for k, v in filtered_rules.items():
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ingredient = re.sub(rf"\b({v[0]})\W*({v[1]})\b", r"\2 \1", ingredient)
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ingredient = re.sub(rf"\b({v[0]})\W*({v[1]})\b", r"\2 \1", ingredient, flags=re.IGNORECASE)
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else:
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for rule in Automation.objects.filter(space=self.request.space, type=Automation.TRANSPOSE_WORDS, disabled=False).filter(
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Q(Q(param_1__in=tokens) | Q(param_2__in=tokens))).order_by('order'):
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ingredient = re.sub(rf"\b({v[0]})\W*({v[1]})\b", r"\2 \1", ingredient)
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for rule in Automation.objects.filter(space=self.request.space, type=Automation.TRANSPOSE_WORDS, disabled=False) \
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.annotate(param_1_lower=Lower('param_1'), param_2_lower=Lower('param_2')) \
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.filter(Q(Q(param_1_lower__in=tokens) | Q(param_2_lower__in=tokens))).order_by('order'):
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ingredient = re.sub(rf"\b({v[0]})\W*({v[1]})\b", r"\2 \1", ingredient, flags=re.IGNORECASE)
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return ingredient
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def parse(self, ingredient):
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