| import random |
| from datetime import datetime |
| from typing import List, Dict, Any, Optional |
|
|
| class StyleRecommender: |
| def __init__(self): |
| self.occasion_keywords = { |
| 'casual': ['t-shirt', 'jeans', 'sneakers', 'hoodie', 'shorts'], |
| 'work': ['blouse', 'trousers', 'blazer', 'loafers', 'pencil skirt'], |
| 'party': ['dress', 'heels', 'clutch', 'statement jewelry', 'sequins'], |
| 'date': ['nice top', 'skinny jeans', 'boots', 'jacket', 'accessories'], |
| 'sport': ['leggings', 'sports bra', 'running shoes', 'tank top', 'hoodie'], |
| 'travel': ['comfortable pants', 'sweater', 'sneakers', 'jacket', 'backpack'], |
| 'formal': ['suit', 'dress shoes', 'tie', 'dress shirt', 'watch'], |
| 'beach': ['swimsuit', 'cover-up', 'sandals', 'hat', 'sunglasses'] |
| } |
| |
| self.color_harmonies = { |
| 'monochromatic': ['#1a1a1a', '#333333', '#4d4d4d', '#666666', '#808080'], |
| 'complementary': ['#FF6B6B', '#4ECDC4', '#FFE66D', '#95E77E', '#C7B9FF'], |
| 'analogous': ['#FF6B6B', '#FF8E8E', '#FFB5B5', '#FF6B6B', '#FF8E8E'], |
| 'triadic': ['#FF6B6B', '#4ECDC4', '#FFE66D', '#FF6B6B', '#4ECDC4'] |
| } |
| |
| self.seasonal_recommendations = { |
| 'spring': ['Pastel colors', 'Light layers', 'Floral patterns', 'Light jackets'], |
| 'summer': ['Bright colors', 'Breathable fabrics', 'Sundresses', 'Sandals'], |
| 'fall': ['Earthy tones', 'Layering pieces', 'Boots', 'Cardigans'], |
| 'winter': ['Dark colors', 'Heavy coats', 'Scarves', 'Warm fabrics'] |
| } |
| |
| def recommend(self, wardrobe: List[Dict], occasion: str, weather: Optional[str] = None, temperature: Optional[float] = None, style_preferences: Optional[List[str]] = None) -> dict: |
| occasion_items = self.occasion_keywords.get(occasion.lower(), self.occasion_keywords['casual']) |
| |
| matching_items = [] |
| for item in wardrobe: |
| item_type = item.get('type', '').lower() |
| if any(keyword in item_type for keyword in occasion_items): |
| matching_items.append(item) |
| |
| if not matching_items and wardrobe: |
| matching_items = wardrobe[:5] |
| |
| primary_outfit = self._create_outfit(matching_items, occasion) |
| |
| alternatives = [] |
| for i in range(2): |
| alt_outfit = self._create_outfit(wardrobe, occasion, shuffle=True) |
| alternatives.append(alt_outfit) |
| |
| reasoning = self._generate_reasoning(occasion, weather, temperature) |
| |
| return { |
| "recommendations": [primary_outfit] + alternatives, |
| "primary": primary_outfit, |
| "alternatives": alternatives, |
| "reasoning": reasoning |
| } |
| |
| def _create_outfit(self, items: List[Dict], occasion: str, shuffle: bool = False) -> Dict: |
| if shuffle: |
| import random |
| selected = random.sample(items, min(3, len(items))) |
| else: |
| selected = items[:min(3, len(items))] |
| |
| return { |
| "name": f"{occasion.capitalize()} Look", |
| "items": selected, |
| "total_pieces": len(selected), |
| "occasion": occasion |
| } |
| |
| def _generate_reasoning(self, occasion: str, weather: Optional[str], temperature: Optional[float]) -> str: |
| reasoning = f"For a {occasion} occasion, " |
| |
| if temperature: |
| if temperature > 25: |
| reasoning += "choose lightweight, breathable fabrics to stay cool. " |
| elif temperature < 10: |
| reasoning += "layer up with warm pieces to stay comfortable. " |
| |
| if weather: |
| if weather == 'rainy': |
| reasoning += "Bring a waterproof jacket and umbrella. " |
| elif weather == 'sunny': |
| reasoning += "Don't forget sunglasses and sun protection. " |
| |
| reasoning += f"This outfit balances style and practicality for your {occasion} event." |
| return reasoning |
| |
| def weather_based_recommendation(self, temperature: float, condition: str) -> dict: |
| if temperature > 25: |
| outfit = "Light clothing: shorts, t-shirt, sandals" |
| fabrics = ["Cotton", "Linen", "Rayon"] |
| layering = "Minimal layering" |
| accessories = ["Sunglasses", "Hat", "Light scarf"] |
| elif temperature < 10: |
| outfit = "Warm layers: coat, sweater, boots" |
| fabrics = ["Wool", "Cashmere", "Fleece"] |
| layering = "Base layer + mid layer + outer layer" |
| accessories = ["Scarf", "Gloves", "Beanie"] |
| else: |
| outfit = "Comfortable layers: jeans, long sleeve, jacket" |
| fabrics = ["Cotton", "Denim", "Light wool"] |
| layering = "Top + light jacket" |
| accessories = ["Scarf", "Light gloves"] |
| |
| return { |
| "outfit": outfit, |
| "fabrics": fabrics, |
| "layering": layering, |
| "accessories": accessories, |
| "warning": "Check local forecast" if condition == 'rainy' else None |
| } |
| |
| def celebrity_style_analysis(self, celebrity_name: str) -> dict: |
| celebrity_styles = { |
| 'zendaya': { |
| 'signature_style': 'Bold, experimental, confident', |
| 'key_pieces': ['Statement suits', 'Dramatic gowns', 'Tailored pieces'], |
| 'colors': ['Red', 'Black', 'Metallic', 'Neon'], |
| 'how_to': ['Take risks', 'Play with proportions', 'Invest in tailoring'] |
| }, |
| 'timothee chalamet': { |
| 'signature_style': 'Eclectic, youthful, artistic', |
| 'key_pieces': ['Bold suits', 'Statement accessories', 'Converse shoes'], |
| 'colors': ['Pastels', 'Bright colors', 'Black'], |
| 'how_to': ['Mix high and low fashion', 'Add unexpected accessories', 'Keep hair styled'] |
| } |
| } |
| |
| result = celebrity_styles.get(celebrity_name.lower(), { |
| 'signature_style': 'Unique and personalized', |
| 'key_pieces': ['Statement pieces', 'Tailored fits', 'Signature accessories'], |
| 'colors': ['Neutral', 'Bold accent colors'], |
| 'how_to': ['Find what works for you', 'Invest in quality basics', 'Add personal touches'] |
| }) |
| |
| return result |
