🏡 Professional Feng Shui Consultant

import google.generativeai as genai import streamlit as st from typing import Dict, List, Optional, Tuple import math class FengShuiAnalyzer: """ Professional Feng Shui analysis engine that combines traditional Chinese geomancy with modern spatial intelligence for comprehensive home and office harmony assessment. """ def __init__(self, api_key: str): genai.configure(api_key=api_key) self.wisdom_ai = genai.GenerativeModel('gemini-pro') # Traditional Bagua (八卦) map with life aspects self.bagua_map = { 'north': {'element': 'water', 'aspect': 'career', 'chinese': '坎 (Kan)'}, 'northeast': {'element': 'earth', 'aspect': 'knowledge', 'chinese': '艮 (Gen)'}, 'east': {'element': 'wood', 'aspect': 'family', 'chinese': '震 (Zhen)'}, 'southeast': {'element': 'wood', 'aspect': 'wealth', 'chinese': '巽 (Xun)'}, 'south': {'element': 'fire', 'aspect': 'fame', 'chinese': '离 (Li)'}, 'southwest': {'element': 'earth', 'aspect': 'love', 'chinese': '坤 (Kun)'}, 'west': {'element': 'metal', 'aspect': 'children', 'chinese': '兑 (Dui)'}, 'northwest': {'element': 'metal', 'aspect': 'helpful_people', 'chinese': '乾 (Qian)'} } # Five elements relationships for energy flow analysis self.element_relationships = { 'productive_cycle': { 'water': 'wood', # Water nourishes wood 'wood': 'fire', # Wood feeds fire 'fire': 'earth', # Fire creates earth (ash) 'earth': 'metal', # Earth contains metal 'metal': 'water' # Metal collects water }, 'destructive_cycle': { 'water': 'fire', # Water extinguishes fire 'fire': 'metal', # Fire melts metal 'metal': 'wood', # Metal cuts wood 'wood': 'earth', # Wood depletes earth 'earth': 'water' # Earth absorbs water } } # Traditional Feng Shui colors and their meanings self.fengshui_colors = { 'red': {'element': 'fire', 'energy': 'passion, luck, protection'}, 'green': {'element': 'wood', 'energy': 'growth, health, new beginnings'}, 'blue': {'element': 'water', 'energy': 'calm, wisdom, career flow'}, 'white': {'element': 'metal', 'energy': 'purity, clarity, precision'}, 'yellow': {'element': 'earth', 'energy': 'stability, grounding, nourishment'} } def analyze_space_harmony(self, space_description: str, room_type: str, goals: List[str]) -> Dict: """ Comprehensive Feng Shui analysis of living or working spaces. Identifies energy flow patterns, elemental imbalances, and provides traditional remedies. Args: space_description: Detailed description of the space layout and features room_type: Type of room (bedroom, living room, office, etc.) goals: User's life goals and areas of focus Returns: Dictionary containing detailed Feng Shui analysis and recommendations """ # Step 1: Analyze spatial energy flow and identify key areas energy_analysis = self._analyze_chi_flow(space_description, room_type) # Step 2: Map space to Bagua sectors for life aspect analysis bagua_mapping = self._map_space_to_bagua(space_description, goals) # Step 3: Identify elemental imbalances and conflicts elemental_analysis = self._analyze_elemental_balance(space_description) # Step 4: Generate professional Feng Shui recommendations recommendations = await self._generate_fengshui_recommendations( energy_analysis, bagua_mapping, elemental_analysis, goals ) # Step 5: Create implementation plan with priorities implementation_plan = self._create_implementation_plan(recommendations) return { 'space_analysis': { 'energy_flow': energy_analysis, 'bagua_sectors': bagua_mapping, 'elemental_balance': elemental_analysis }, 'recommendations': recommendations, 'implementation_plan': implementation_plan, 'harmony_score': self._calculate_harmony_score(energy_analysis, elemental_analysis), 'traditional_wisdom': await self._provide_traditional_wisdom(room_type, goals) } def _analyze_chi_flow(self, space_description: str, room_type: str) -> Dict: """ Analyze the flow of Chi (life energy) through the space. Identifies energy blockages, rushing chi, and stagnant areas. """ # Parse spatial features that affect energy flow flow_factors = { 'entry_points': self._identify_entry_points(space_description), 'pathways': self._analyze_movement_paths(space_description), 'energy_blocks': self._identify_energy_blockages(space_description), 'light_sources': self._analyze_natural_light(space_description), 'clutter_areas': self._identify_clutter_zones(space_description) } # Calculate Chi flow quality based on traditional principles chi_quality = self._calculate_chi_quality(flow_factors, room_type) return { 'flow_analysis': flow_factors, 'chi_quality_score': chi_quality, 'energy_patterns': self._identify_energy_patterns(flow_factors), 'improvement_areas': self._prioritize_flow_improvements(flow_factors) } def _map_space_to_bagua(self, space_description: str, goals: List[str]) -> Dict: """ Map the physical space to the Bagua (八卦) for life aspect analysis. Identifies which areas of the space correspond to different life goals. """ # Determine primary entrance and orientation for Bagua overlay entrance_direction = self._determine_entrance_direction(space_description) # Map each Bagua sector to physical space areas bagua_sectors = {} for direction, sector_info in self.bagua_map.items(): bagua_sectors[direction] = { 'life_aspect': sector_info['aspect'], 'element': sector_info['element'], 'chinese_name': sector_info['chinese'], 'physical_area': self._identify_physical_area(space_description, direction), 'user_priority': sector_info['aspect'] in [goal.lower() for goal in goals], 'current_condition': self._assess_sector_condition(space_description, direction) } return { 'entrance_direction': entrance_direction, 'sectors': bagua_sectors, 'priority_sectors': [s for s in bagua_sectors if bagua_sectors[s]['user_priority']], 'sector_harmony': self._calculate_sector_harmony(bagua_sectors) } async _generate_fengshui_recommendations( self, energy_analysis: Dict, bagua_mapping: Dict, elemental_analysis: Dict, goals: List[str] ) -> Dict: """ Generate comprehensive Feng Shui recommendations based on traditional principles. Provides specific, actionable advice for improving space harmony and life goals. """ recommendation_prompt = f""" As a professional Feng Shui consultant, provide detailed recommendations based on: ENERGY FLOW ANALYSIS: Chi Quality Score: {energy_analysis['chi_quality_score']}/10 Energy Blockages: {energy_analysis['flow_analysis']['energy_blocks']} Flow Patterns: {energy_analysis['energy_patterns']} BAGUA MAPPING: Priority Life Areas: {bagua_mapping['priority_sectors']} Sector Conditions: {bagua_mapping['sector_harmony']} ELEMENTAL BALANCE: Element Distribution: {elemental_analysis['element_distribution']} Imbalances: {elemental_analysis['imbalances']} USER GOALS: {', '.join(goals)} Provide recommendations in these categories: 1. 空间布局 (Spatial Layout): Furniture placement and room arrangement 2. 色彩调和 (Color Harmony): Feng Shui colors for different areas 3. 元素平衡 (Element Balance): Adding/reducing elements for harmony 4. 能量流动 (Energy Flow): Improving Chi circulation 5. 装饰建议 (Decoration Advice): Feng Shui objects and symbols 6. 植物配置 (Plant Placement): Living energy enhancers 7. 照明优化 (Lighting Optimization): Natural and artificial light balance Include traditional Feng Shui principles and modern practical applications. Provide specific, actionable steps with reasoning based on ancient wisdom. """ response = await self.wisdom_ai.generate_content_async(recommendation_prompt) return { 'detailed_recommendations': response.text, 'priority_actions': self._extract_priority_actions(response.text), 'element_suggestions': self._generate_element_suggestions(elemental_analysis), 'color_palette': self._recommend_color_palette(bagua_mapping, goals), 'symbolic_enhancements': self._suggest_feng_shui_symbols(goals) }

class ElementalAnalyzer: def _analyze_elemental_balance(self, space_description: str) -> Dict: """ Analyze the distribution and balance of five elements within the space. Identifies elemental excess, deficiency, and conflicts for harmony optimization. """ # Identify elements present in the space through materials and colors element_presence = { 'wood': self._detect_wood_elements(space_description), 'fire': self._detect_fire_elements(space_description), 'earth': self._detect_earth_elements(space_description), 'metal': self._detect_metal_elements(space_description), 'water': self._detect_water_elements(space_description) } # Calculate elemental distribution and identify imbalances element_scores = self._calculate_element_scores(element_presence) imbalances = self._identify_elemental_imbalances(element_scores) # Analyze element relationships and interactions element_interactions = self._analyze_element_interactions(element_scores) return { 'element_distribution': element_scores, 'detected_elements': element_presence, 'imbalances': imbalances, 'interactions': element_interactions, 'balance_score': self._calculate_balance_score(element_scores), 'correction_needs': self._determine_corrections(imbalances) } def _detect_wood_elements(self, description: str) -> Dict: """ Detect wood element presence through furniture, plants, and green colors. Wood represents growth, flexibility, and upward energy movement. """ wood_indicators = { 'furniture': ['wooden', 'bamboo', 'wicker', 'teak', 'oak'], 'plants': ['plant', 'tree', 'flower', 'garden', 'bamboo'], 'colors': ['green', 'forest', 'emerald', 'sage'], 'shapes': ['tall', 'rectangular', 'columnar', 'vertical'] } detected_count = 0 details = [] for category, indicators in wood_indicators.items(): for indicator in indicators: if indicator.lower() in description.lower(): detected_count += 1 details.append(f"{category}: {indicator}") return { 'strength': min(detected_count * 0.2, 1.0), # Normalize to 0-1 scale 'indicators_found': details, 'element_quality': 'abundant' if detected_count > 3 else 'moderate' if detected_count > 1 else 'minimal' } def _analyze_element_interactions(self, element_scores: Dict) -> Dict: """ Analyze interactions between elements using traditional cycle principles. Identifies supportive and conflicting element relationships. """ interactions = { 'productive_relationships': [], 'destructive_relationships': [], 'overall_harmony': 0 } # Check productive cycle relationships for element, produces in self.element_relationships['productive_cycle'].items(): element_strength = element_scores.get(element, 0) produced_strength = element_scores.get(produces, 0) if element_strength > 0.3 and produced_strength > 0.3: interactions['productive_relationships'].append({ 'producer': element, 'produced': produces, 'strength': min(element_strength, produced_strength), 'effect': 'harmonious energy flow' }) # Check destructive cycle relationships for element, destroys in self.element_relationships['destructive_cycle'].items(): element_strength = element_scores.get(element, 0) destroyed_strength = element_scores.get(destroys, 0) if element_strength > 0.5 and destroyed_strength > 0.5: interactions['destructive_relationships'].append({ 'destroyer': element, 'destroyed': destroys, 'conflict_level': element_strength * destroyed_strength, 'effect': 'energy conflict' }) # Calculate overall harmony score productive_score = len(interactions['productive_relationships']) * 0.2 destructive_penalty = len(interactions['destructive_relationships']) * 0.15 interactions['overall_harmony'] = max(0, productive_score - destructive_penalty) return interactions def _recommend_color_palette(self, bagua_mapping: Dict, goals: List[str]) -> Dict: """ Recommend Feng Shui color palette based on Bagua sectors and user goals. Considers elemental associations and traditional color meanings. """ recommended_colors = {} priority_sectors = bagua_mapping['priority_sectors'] for sector in priority_sectors: sector_info = bagua_mapping['sectors'][sector] element = sector_info['element'] # Get colors that support the sector's element supporting_colors = self._get_element_supporting_colors(element) recommended_colors[sector] = { 'life_aspect': sector_info['life_aspect'], 'primary_colors': supporting_colors['primary'], 'accent_colors': supporting_colors['accent'], 'avoid_colors': supporting_colors['avoid'], 'color_application': self._suggest_color_application(sector_info['life_aspect']) } return { 'sector_colors': recommended_colors, 'overall_palette': self._create_harmonious_palette(recommended_colors), 'color_implementation_tips': self._provide_color_tips() } def _suggest_feng_shui_symbols(self, goals: List[str]) -> Dict: """ Suggest traditional Feng Shui symbols and objects based on user goals. Includes placement guidance and symbolic meanings. """ symbol_recommendations = {} goal_symbols = { 'wealth': { 'symbols': ['Money tree', 'Three-legged toad', 'Dragon', 'Citrine crystal'], 'placement': 'Southeast corner', 'element': 'wood' }, 'love': { 'symbols': ['Mandarin ducks', 'Rose quartz', 'Peony flowers', 'Double happiness symbol'], 'placement': 'Southwest corner', 'element': 'earth' }, 'career': { 'symbols': ['Water fountain', 'Black tortoise', 'Bamboo', 'Aquarium'], 'placement': 'North area', 'element': 'water' } } for goal in goals: goal_lower = goal.lower() if goal_lower in goal_symbols: symbol_recommendations[goal] = goal_symbols[goal_lower] return symbol_recommendations