Emoji-AI-Avatar / avatar /emotion_wheel.py
Deminiko
Initial import: Emoji AI Avatar
25e624c
# -*- coding: utf-8 -*-
"""
Emotion Wheel - Graph-based emotion categorization and similarity
Implements an emotion wheel/graph where:
- Emotions are grouped into categories
- Similar emotions are acceptable substitutes
- Contradictory emotions are failures
- Allows natural variation in emotion detection
Based on Plutchik's Wheel of Emotions with extensions
"""
from typing import Dict, List, Set, Tuple, Optional
from dataclasses import dataclass
from enum import Enum
class EmotionCategory(Enum):
"""Main emotion categories on the wheel"""
JOY = "joy"
TRUST = "trust"
FEAR = "fear"
SURPRISE = "surprise"
SADNESS = "sadness"
DISGUST = "disgust"
ANGER = "anger"
ANTICIPATION = "anticipation"
# Extended categories
LOVE = "love" # Joy + Trust
GUILT = "guilt" # Joy opposite area
NEUTRAL = "neutral" # Center
CONFUSION = "confusion" # Between fear and surprise
@dataclass
class EmotionNode:
"""Single emotion in the wheel"""
name: str
category: EmotionCategory
intensity: str # "high", "medium", "low"
emoji: str
adjacent_categories: List[EmotionCategory] # Similar categories
opposite_category: Optional[EmotionCategory] # Contradictory
class EmotionWheel:
"""
Emotion Wheel Graph for categorizing and relating emotions
Structure (Plutchik-inspired):
JOY
/ \
ANTICIPATION TRUST
| |
ANGER FEAR
\ /
DISGUST-SADNESS
|
SURPRISE
Center: NEUTRAL
Combinations: LOVE (Joy+Trust), CONFUSION (Fear+Surprise)
"""
# Category relationships - adjacent categories are similar
CATEGORY_WHEEL = {
EmotionCategory.JOY: {
"adjacent": [EmotionCategory.TRUST, EmotionCategory.ANTICIPATION, EmotionCategory.LOVE],
"opposite": EmotionCategory.SADNESS,
},
EmotionCategory.TRUST: {
"adjacent": [EmotionCategory.JOY, EmotionCategory.FEAR, EmotionCategory.LOVE],
"opposite": EmotionCategory.DISGUST,
},
EmotionCategory.FEAR: {
"adjacent": [EmotionCategory.TRUST, EmotionCategory.SURPRISE, EmotionCategory.CONFUSION],
"opposite": EmotionCategory.ANGER,
},
EmotionCategory.SURPRISE: {
"adjacent": [EmotionCategory.FEAR, EmotionCategory.SADNESS, EmotionCategory.CONFUSION],
"opposite": EmotionCategory.ANTICIPATION,
},
EmotionCategory.SADNESS: {
"adjacent": [EmotionCategory.SURPRISE, EmotionCategory.DISGUST, EmotionCategory.GUILT],
"opposite": EmotionCategory.JOY,
},
EmotionCategory.DISGUST: {
"adjacent": [EmotionCategory.SADNESS, EmotionCategory.ANGER],
"opposite": EmotionCategory.TRUST,
},
EmotionCategory.ANGER: {
"adjacent": [EmotionCategory.DISGUST, EmotionCategory.ANTICIPATION],
"opposite": EmotionCategory.FEAR,
},
EmotionCategory.ANTICIPATION: {
"adjacent": [EmotionCategory.ANGER, EmotionCategory.JOY],
"opposite": EmotionCategory.SURPRISE,
},
# Extended categories
EmotionCategory.LOVE: {
"adjacent": [EmotionCategory.JOY, EmotionCategory.TRUST],
"opposite": EmotionCategory.DISGUST,
},
EmotionCategory.GUILT: {
"adjacent": [EmotionCategory.SADNESS, EmotionCategory.FEAR],
"opposite": EmotionCategory.JOY,
},
EmotionCategory.NEUTRAL: {
"adjacent": [cat for cat in EmotionCategory], # Center connects to all
"opposite": None,
},
EmotionCategory.CONFUSION: {
"adjacent": [EmotionCategory.FEAR, EmotionCategory.SURPRISE, EmotionCategory.NEUTRAL],
"opposite": EmotionCategory.JOY,
},
}
# Map each emotion to its category
EMOTION_CATEGORIES: Dict[str, EmotionCategory] = {
# === JOY FAMILY ===
"ecstasy": EmotionCategory.JOY,
"joy": EmotionCategory.JOY,
"happiness": EmotionCategory.JOY,
"delight": EmotionCategory.JOY,
"elation": EmotionCategory.JOY,
"euphoria": EmotionCategory.JOY,
"excitement": EmotionCategory.JOY,
"thrill": EmotionCategory.JOY,
"enthusiasm": EmotionCategory.JOY,
"cheerfulness": EmotionCategory.JOY,
"contentment": EmotionCategory.JOY,
"satisfaction": EmotionCategory.JOY,
"pleasure": EmotionCategory.JOY,
"relief": EmotionCategory.JOY,
"serenity": EmotionCategory.JOY,
"calm": EmotionCategory.JOY,
"relaxed": EmotionCategory.JOY,
"amusement": EmotionCategory.JOY,
"playful": EmotionCategory.JOY,
"silly": EmotionCategory.JOY,
"mischievous": EmotionCategory.JOY,
"funny": EmotionCategory.JOY,
"hope": EmotionCategory.JOY,
"optimism": EmotionCategory.JOY,
# === TRUST FAMILY ===
"trust": EmotionCategory.TRUST,
"acceptance": EmotionCategory.TRUST,
"admiration": EmotionCategory.TRUST,
"confidence": EmotionCategory.TRUST,
# === LOVE FAMILY (Joy + Trust) ===
"love": EmotionCategory.LOVE,
"adoration": EmotionCategory.LOVE,
"affection": EmotionCategory.LOVE,
"tenderness": EmotionCategory.LOVE,
"caring": EmotionCategory.LOVE,
"compassion": EmotionCategory.LOVE,
"empathy": EmotionCategory.LOVE,
"gratitude": EmotionCategory.LOVE,
"thankful": EmotionCategory.LOVE,
"sympathy": EmotionCategory.LOVE,
# === FEAR FAMILY ===
"fear": EmotionCategory.FEAR,
"terror": EmotionCategory.FEAR,
"horror": EmotionCategory.FEAR,
"dread": EmotionCategory.FEAR,
"anxiety": EmotionCategory.FEAR,
"worry": EmotionCategory.FEAR,
"nervousness": EmotionCategory.FEAR,
"apprehension": EmotionCategory.FEAR,
"panic": EmotionCategory.FEAR,
# === SURPRISE FAMILY ===
"surprise": EmotionCategory.SURPRISE,
"astonishment": EmotionCategory.SURPRISE,
"shock": EmotionCategory.SURPRISE,
"startled": EmotionCategory.SURPRISE,
"amazement": EmotionCategory.SURPRISE,
"wonder": EmotionCategory.SURPRISE,
"awe": EmotionCategory.SURPRISE,
"curiosity": EmotionCategory.SURPRISE,
"interest": EmotionCategory.SURPRISE,
"fascination": EmotionCategory.SURPRISE,
"intrigue": EmotionCategory.SURPRISE,
# === SADNESS FAMILY ===
"sadness": EmotionCategory.SADNESS,
"sorrow": EmotionCategory.SADNESS,
"grief": EmotionCategory.SADNESS,
"melancholy": EmotionCategory.SADNESS,
"disappointment": EmotionCategory.SADNESS,
"dejection": EmotionCategory.SADNESS,
"despair": EmotionCategory.SADNESS,
"hopelessness": EmotionCategory.SADNESS,
"loneliness": EmotionCategory.SADNESS,
"hurt": EmotionCategory.SADNESS,
"misery": EmotionCategory.SADNESS,
"nostalgia": EmotionCategory.SADNESS,
"longing": EmotionCategory.SADNESS,
"yearning": EmotionCategory.SADNESS,
"pessimism": EmotionCategory.SADNESS,
# === DISGUST FAMILY ===
"disgust": EmotionCategory.DISGUST,
"revulsion": EmotionCategory.DISGUST,
"contempt": EmotionCategory.DISGUST,
"disdain": EmotionCategory.DISGUST,
"loathing": EmotionCategory.DISGUST,
"scorn": EmotionCategory.DISGUST,
"sarcasm": EmotionCategory.DISGUST,
# === ANGER FAMILY ===
"anger": EmotionCategory.ANGER,
"rage": EmotionCategory.ANGER,
"fury": EmotionCategory.ANGER,
"irritation": EmotionCategory.ANGER,
"annoyance": EmotionCategory.ANGER,
"frustration": EmotionCategory.ANGER,
"exasperation": EmotionCategory.ANGER,
"resentment": EmotionCategory.ANGER,
"hostility": EmotionCategory.ANGER,
"bitterness": EmotionCategory.ANGER,
"envy": EmotionCategory.ANGER,
"jealousy": EmotionCategory.ANGER,
# === ANTICIPATION FAMILY ===
"anticipation": EmotionCategory.ANTICIPATION,
"determination": EmotionCategory.ANTICIPATION,
"inspiration": EmotionCategory.ANTICIPATION,
"pride": EmotionCategory.ANTICIPATION,
"triumph": EmotionCategory.ANTICIPATION,
# === GUILT FAMILY (Sadness + Fear area) ===
"shame": EmotionCategory.GUILT,
"embarrassment": EmotionCategory.GUILT,
"guilt": EmotionCategory.GUILT,
"regret": EmotionCategory.GUILT,
"remorse": EmotionCategory.GUILT,
"humiliation": EmotionCategory.GUILT,
# === CONFUSION FAMILY (Fear + Surprise) ===
"confused": EmotionCategory.CONFUSION,
"confusion": EmotionCategory.CONFUSION,
"puzzled": EmotionCategory.CONFUSION,
"perplexed": EmotionCategory.CONFUSION,
"bewildered": EmotionCategory.CONFUSION,
"baffled": EmotionCategory.CONFUSION,
"uncertain": EmotionCategory.CONFUSION,
# === NEUTRAL FAMILY (Center) ===
"neutral": EmotionCategory.NEUTRAL,
"thinking": EmotionCategory.NEUTRAL,
"contemplative": EmotionCategory.NEUTRAL,
"pensive": EmotionCategory.NEUTRAL,
"reflective": EmotionCategory.NEUTRAL,
"ambivalent": EmotionCategory.NEUTRAL,
"indifferent": EmotionCategory.NEUTRAL,
"boredom": EmotionCategory.NEUTRAL,
"tiredness": EmotionCategory.NEUTRAL,
"exhaustion": EmotionCategory.NEUTRAL,
"fatigue": EmotionCategory.NEUTRAL,
"weariness": EmotionCategory.NEUTRAL,
"sleepy": EmotionCategory.NEUTRAL,
}
def __init__(self):
"""Initialize emotion wheel"""
self._build_similarity_graph()
def _build_similarity_graph(self):
"""Build graph of emotion similarities"""
self.similarity_graph: Dict[str, Set[str]] = {}
# For each emotion, find all similar emotions
for emotion, category in self.EMOTION_CATEGORIES.items():
similar = set()
# Same category emotions are very similar
for other_emotion, other_cat in self.EMOTION_CATEGORIES.items():
if other_cat == category:
similar.add(other_emotion)
# Adjacent category emotions are somewhat similar
if category in self.CATEGORY_WHEEL:
adjacent_cats = self.CATEGORY_WHEEL[category]["adjacent"]
for other_emotion, other_cat in self.EMOTION_CATEGORIES.items():
if other_cat in adjacent_cats:
similar.add(other_emotion)
self.similarity_graph[emotion] = similar
def get_category(self, emotion: str) -> Optional[EmotionCategory]:
"""Get the category of an emotion"""
return self.EMOTION_CATEGORIES.get(emotion.lower())
def get_opposite_category(self, emotion: str) -> Optional[EmotionCategory]:
"""Get the opposite/contradictory category"""
category = self.get_category(emotion)
if category and category in self.CATEGORY_WHEEL:
return self.CATEGORY_WHEEL[category].get("opposite")
return None
def are_similar(self, emotion1: str, emotion2: str) -> bool:
"""Check if two emotions are similar (same or adjacent category)"""
e1 = emotion1.lower()
e2 = emotion2.lower()
if e1 == e2:
return True
if e1 in self.similarity_graph:
return e2 in self.similarity_graph[e1]
return False
def are_contradictory(self, emotion1: str, emotion2: str) -> bool:
"""Check if two emotions are contradictory (opposite categories)"""
cat1 = self.get_category(emotion1)
cat2 = self.get_category(emotion2)
if not cat1 or not cat2:
return False
# Check if cat2 is opposite of cat1
if cat1 in self.CATEGORY_WHEEL:
opposite = self.CATEGORY_WHEEL[cat1].get("opposite")
if opposite == cat2:
return True
# Check reverse
if cat2 in self.CATEGORY_WHEEL:
opposite = self.CATEGORY_WHEEL[cat2].get("opposite")
if opposite == cat1:
return True
return False
def get_similarity_score(self, expected: str, detected: str) -> Tuple[float, str]:
"""
Calculate similarity score between expected and detected emotion
Returns:
Tuple of (score, relationship_type)
- score: 1.0 = exact, 0.8 = same category, 0.5 = adjacent, 0.0 = opposite
- relationship_type: "exact", "same_category", "adjacent", "distant", "opposite"
"""
e1 = expected.lower()
e2 = detected.lower()
# Exact match
if e1 == e2:
return (1.0, "exact")
cat1 = self.get_category(e1)
cat2 = self.get_category(e2)
if not cat1 or not cat2:
return (0.3, "unknown")
# Same category
if cat1 == cat2:
return (0.8, "same_category")
# Check if adjacent
if cat1 in self.CATEGORY_WHEEL:
adjacent = self.CATEGORY_WHEEL[cat1]["adjacent"]
if cat2 in adjacent:
return (0.5, "adjacent")
# Check if opposite
if self.are_contradictory(e1, e2):
return (0.0, "opposite")
# Distant but not opposite
return (0.2, "distant")
def get_emotions_in_category(self, category: EmotionCategory) -> List[str]:
"""Get all emotions in a category"""
return [e for e, c in self.EMOTION_CATEGORIES.items() if c == category]
def get_all_categories(self) -> List[EmotionCategory]:
"""Get all emotion categories"""
return list(EmotionCategory)
def visualize_wheel(self) -> str:
"""Generate ASCII visualization of the emotion wheel"""
lines = [
"โ•”โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•—",
"โ•‘ EMOTION WHEEL GRAPH โ•‘",
"โ• โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ฃ",
"โ•‘ โ•‘",
"โ•‘ JOY ๐Ÿ˜Š โ•‘",
"โ•‘ / \\ โ•‘",
"โ•‘ / \\ โ•‘",
"โ•‘ ANTICIPATION ๐Ÿค— TRUST ๐Ÿค โ•‘",
"โ•‘ | \\ / | โ•‘",
"โ•‘ | \\ / | โ•‘",
"โ•‘ | LOVE ๐Ÿฅฐ | โ•‘",
"โ•‘ | | | โ•‘",
"โ•‘ ANGER ๐Ÿ˜  NEUTRAL ๐Ÿ˜ FEAR ๐Ÿ˜จ โ•‘",
"โ•‘ | | | โ•‘",
"โ•‘ | CONFUSION ๐Ÿ˜• | โ•‘",
"โ•‘ | / \\ | โ•‘",
"โ•‘ \\ / \\ / โ•‘",
"โ•‘ DISGUST ๐Ÿคข SURPRISE ๐Ÿ˜ฎ โ•‘",
"โ•‘ \\ / โ•‘",
"โ•‘ \\ / โ•‘",
"โ•‘ SADNESS ๐Ÿ˜ข โ•‘",
"โ•‘ | โ•‘",
"โ•‘ GUILT ๐Ÿ˜ฃ โ•‘",
"โ•‘ โ•‘",
"โ• โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•ฃ",
"โ•‘ RELATIONSHIPS: โ•‘",
"โ•‘ โ”€โ”€โ”€ Adjacent (similar) โ•โ•โ• Opposite (contradictory) โ•‘",
"โ•‘ โ•‘",
"โ•‘ JOY โ•โ•โ• SADNESS TRUST โ•โ•โ• DISGUST FEAR โ•โ•โ• ANGER โ•‘",
"โ•‘ SURPRISE โ•โ•โ• ANTICIPATION โ•‘",
"โ•šโ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•โ•",
]
return "\n".join(lines)
# Singleton instance
_wheel_instance = None
def get_emotion_wheel() -> EmotionWheel:
"""Get singleton emotion wheel instance"""
global _wheel_instance
if _wheel_instance is None:
_wheel_instance = EmotionWheel()
return _wheel_instance
if __name__ == "__main__":
wheel = EmotionWheel()
print(wheel.visualize_wheel())
print()
# Test similarity scores
test_pairs = [
("joy", "happiness"), # Same category
("joy", "love"), # Adjacent
("joy", "sadness"), # Opposite
("anger", "frustration"), # Same category
("fear", "anxiety"), # Same category
("confusion", "puzzled"), # Same category
("happiness", "anger"), # Distant
]
print("\nSimilarity Tests:")
print("-" * 60)
for e1, e2 in test_pairs:
score, rel = wheel.get_similarity_score(e1, e2)
print(f"{e1:15} vs {e2:15} โ†’ {score:.1f} ({rel})")