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from utils import clean_word
def generic_template(input_word, cleaned_word=None, similarity_score=None, confidence_score=None, similar_words=None, is_food=None, food_nonfood_score=None, dictionary_word=None, sr_legacy_food_category=None, wweia_category=None, dry_matter_content=None, water_content=None, leakage=None, specificity=None):
if cleaned_word is None:
cleaned_word = clean_word(input_word)
return {
'input_word': input_word,
'cleaned_word': cleaned_word,
'similarity_score': similarity_score,
'confidence_score': confidence_score,
'similar_words': similar_words,
'is_food': is_food,
'food_nonfood_score': food_nonfood_score,
'dictionary_word': dictionary_word,
'sr_legacy_food_category': sr_legacy_food_category,
'wweia_category': wweia_category,
'dry_matter_content': dry_matter_content,
'water_content': water_content,
'leakage': leakage,
'specificity': specificity
}
def empty_template(input_word, cleaned_word=None):
if cleaned_word is None:
cleaned_word = clean_word(input_word)
return {
'input_word': input_word,
'cleaned_word': cleaned_word,
'similarity_score': None,
'confidence_score': None,
'similar_words': None,
'is_food': None,
'food_nonfood_score': None,
'dictionary_word': None,
'sr_legacy_food_category': None,
'wweia_category': None,
'dry_matter_content': None,
'water_content': None,
'leakage': None,
'specificity': None
}
def usda_template(input_word, cleaned_word=None):
if cleaned_word is None:
cleaned_word = clean_word(input_word)
return {
'input_word': input_word,
'cleaned_word': cleaned_word,
'dictionary_word': 'USDA Food Item',
'similarity_score': 1.0,
'confidence_score': 1.0,
'similar_words': None,
'is_food': True,
'food_nonfood_score': 1.0,
'sr_legacy_food_category': 'Government Donation (Not Counted)',
'wweia_category': 'Government Donation (Not Counted)',
'dry_matter_content': None,
'water_content': None,
'leakage': None,
'specificity': None
}
def nonfood_template(input_word, cleaned_word=None, food_nonfood_score=None, similar_words=None):
if cleaned_word is None:
cleaned_word = clean_word(input_word)
return {
'input_word': input_word,
'cleaned_word': cleaned_word,
'similarity_score': None,
'confidence_score': None,
'similar_words': similar_words,
'is_food': False,
'food_nonfood_score': food_nonfood_score,
'dictionary_word': 'Non-Food Item',
'sr_legacy_food_category': 'Non-Food Item',
'wweia_category': 'Non-Food Item',
'dry_matter_content': 0,
'water_content': 0,
'leakage': 0,
'specificity': None
}
def heterogeneous_template(input_word, cleaned_word=None):
if cleaned_word is None:
cleaned_word = clean_word(input_word)
return {
'input_word': input_word,
'cleaned_word': cleaned_word,
'similarity_score': 1,
'confidence_score': 1,
'similar_words': None,
'is_food': True,
'food_nonfood_score': 1,
'dictionary_word': 'Heterogeneous Mixture',
'wweia_category': 'Heterogeneous Mixture',
'sr_legacy_food_category': 'Heterogeneous Mixture',
'dry_matter_content': 0.27,
'water_content': 0.73,
'leakage': 0.1,
'specificity': 'Heterogeneous Mixture'
}
def multi_item_template(input_word, cleaned_word=None, conservative_mapping=None):
if cleaned_word is None:
cleaned_word = clean_word(input_word)
return {
'input_word': input_word,
'cleaned_word': cleaned_word,
'similarity_score': 1,
'confidence_score': 1,
'similar_words': None,
'is_food': True,
'food_nonfood_score': 1,
'dictionary_word': f"{conservative_mapping['dictionary_word']} (Lowest DMC)",
'wweia_category': conservative_mapping['wweia_category'],
'sr_legacy_food_category': conservative_mapping['sr_legacy_food_category'],
'dry_matter_content': conservative_mapping['dry_matter_content'],
'water_content': conservative_mapping['water_content'],
'leakage': conservative_mapping['leakage'],
'specificity': conservative_mapping['specificity']
}
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