Hera Zhao
e0ee1cba8c
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单元测试256个全部通过（新增14个）: - recipeNameEn: 11个翻译测试 - 重复精油检查: 3个 后端: 补充"缓解"翻译词条 E2E: 改名重翻译、删除用户去重跳过 Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
113 lines
5.3 KiB
Python
113 lines
5.3 KiB
Python
"""Auto-translate Chinese recipe names to English using keyword dictionary."""
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# Common keywords in essential oil recipe names
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_KEYWORDS = {
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# Body parts
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'头': 'Head', '头疗': 'Scalp Therapy', '头皮': 'Scalp', '头发': 'Hair',
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'脸': 'Face', '面部': 'Face', '眼': 'Eye', '眼部': 'Eye',
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'鼻': 'Nose', '鼻腔': 'Nasal', '耳': 'Ear',
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'颈': 'Neck', '颈椎': 'Cervical', '肩': 'Shoulder', '肩颈': 'Neck & Shoulder',
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'背': 'Back', '腰': 'Lower Back', '腰椎': 'Lumbar',
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'胸': 'Chest', '腹': 'Abdomen', '腹部': 'Abdominal',
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'手': 'Hand', '脚': 'Foot', '足': 'Foot', '膝': 'Knee', '关节': 'Joint',
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'皮肤': 'Skin', '肌肤': 'Skin', '毛孔': 'Pore',
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'乳腺': 'Breast', '子宫': 'Uterine', '私密': 'Intimate',
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'淋巴': 'Lymph', '肝': 'Liver', '肾': 'Kidney', '脾': 'Spleen', '胃': 'Stomach',
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'肺': 'Lung', '心': 'Heart', '肠': 'Intestinal',
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'带脉': 'Belt Meridian', '经络': 'Meridian',
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# Symptoms & conditions
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'酸痛': 'Pain Relief', '疼痛': 'Pain Relief', '止痛': 'Pain Relief',
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'感冒': 'Cold', '发烧': 'Fever', '咳嗽': 'Cough', '咽喉': 'Throat',
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'过敏': 'Allergy', '鼻炎': 'Rhinitis', '哮喘': 'Asthma',
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'湿疹': 'Eczema', '痘痘': 'Acne', '粉刺': 'Acne',
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'炎症': 'Anti-Inflammatory', '消炎': 'Anti-Inflammatory',
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'便秘': 'Constipation', '腹泻': 'Diarrhea', '消化': 'Digestion',
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'失眠': 'Insomnia', '助眠': 'Sleep Aid', '好眠': 'Sleep Well', '安眠': 'Sleep',
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'焦虑': 'Anxiety', '抑郁': 'Depression', '情绪': 'Emotional',
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'压力': 'Stress', '放松': 'Relaxation', '舒缓': 'Soothing',
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'头痛': 'Headache', '偏头痛': 'Migraine',
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'水肿': 'Edema', '浮肿': 'Swelling',
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'痛经': 'Menstrual Pain', '月经': 'Menstrual', '经期': 'Menstrual',
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'更年期': 'Menopause', '荷尔蒙': 'Hormone',
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'结节': 'Nodule', '囊肿': 'Cyst',
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'灰指甲': 'Nail Fungus', '脚气': 'Athlete\'s Foot',
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'白发': 'Gray Hair', '脱发': 'Hair Loss', '生发': 'Hair Growth',
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'瘦身': 'Slimming', '减肥': 'Weight Loss', '纤体': 'Body Sculpting',
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'紫外线': 'UV', '晒伤': 'Sunburn', '防晒': 'Sun Protection',
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'抗衰': 'Anti-Aging', '抗皱': 'Anti-Wrinkle', '美白': 'Whitening',
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'补水': 'Hydrating', '保湿': 'Moisturizing',
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'排毒': 'Detox', '清洁': 'Cleansing', '净化': 'Purifying',
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'驱蚊': 'Mosquito Repellent', '驱虫': 'Insect Repellent',
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# Actions & methods
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'护理': 'Care', '调理': 'Therapy', '修复': 'Repair', '养护': 'Nourish',
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'按摩': 'Massage', '刮痧': 'Gua Sha', '拔罐': 'Cupping', '艾灸': 'Moxibustion',
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'泡脚': 'Foot Soak', '泡澡': 'Bath', '精油浴': 'Oil Bath',
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'热敷': 'Hot Compress', '冷敷': 'Cold Compress', '敷面': 'Face Mask',
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'喷雾': 'Spray', '滚珠': 'Roll-On', '扩香': 'Diffuser',
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'涂抹': 'Topical', '吸嗅': 'Inhalation',
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'疏通': 'Unblock', '提升': 'Boost', '增强': 'Enhance', '促进': 'Promote',
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'预防': 'Prevention', '改善': 'Improve',
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'祛湿': 'Dampness Relief', '驱寒': 'Warming',
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'化痰': 'Phlegm Relief', '健脾': 'Spleen Wellness',
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'化湿': 'Dampness Clear', '缓解': 'Relief',
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# Beauty
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'美容': 'Beauty', '美发': 'Hair Care', '美体': 'Body Care',
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'面膜': 'Face Mask', '发膜': 'Hair Mask', '眼霜': 'Eye Cream',
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'精华': 'Serum', '乳液': 'Lotion', '洗发': 'Shampoo',
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# General
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'配方': 'Blend', '方': 'Blend', '包': 'Blend',
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'增强版': 'Enhanced', '高配版': 'Premium', '基础版': 'Basic',
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'男士': 'Men\'s', '女士': 'Women\'s', '儿童': 'Children\'s', '宝宝': 'Baby',
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'日常': 'Daily', '夜间': 'Night', '早晨': 'Morning',
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'呼吸': 'Respiratory', '呼吸系统': 'Respiratory System',
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'免疫': 'Immunity', '免疫力': 'Immunity',
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'细胞': 'Cellular', '律动': 'Rhythm',
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}
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# Longer keys first for greedy matching
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_SORTED_KEYS = sorted(_KEYWORDS.keys(), key=len, reverse=True)
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def auto_translate(name: str) -> str:
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"""Translate a Chinese recipe name to English using keyword matching."""
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if not name:
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return ''
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remaining = name.strip()
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parts = []
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i = 0
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while i < len(remaining):
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matched = False
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for key in _SORTED_KEYS:
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if remaining[i:i+len(key)] == key:
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en = _KEYWORDS[key]
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if en not in parts: # avoid duplicates
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parts.append(en)
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i += len(key)
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matched = True
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break
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if not matched:
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# Skip numbers, punctuation, and unrecognized chars
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ch = remaining[i]
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if ch.isascii() and ch.isalpha():
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# Collect consecutive ASCII chars
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j = i
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while j < len(remaining) and remaining[j].isascii() and remaining[j].isalpha():
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j += 1
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word = remaining[i:j]
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if word not in parts:
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parts.append(word)
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i = j
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else:
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i += 1
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if parts:
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result = ' '.join(parts)
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# Title case each word but preserve apostrophes (Men's not Men'S)
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return ' '.join(w[0].upper() + w[1:] if w else w for w in result.split())
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# Fallback: return original name
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return name
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