Spaces:
Sleeping
Sleeping
File size: 7,575 Bytes
3d015cd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 | """Creative/Design Domain Plugin
Scores creative competency based on:
- Portfolio links (Behance, Dribbble, personal site)
- Project diversity and quality
- Design tool proficiency
- Visual content analysis
"""
import re
import time
import logging
import requests
from typing import Dict, List
from .base_plugin import BaseDomainPlugin, DomainScore
from .plugin_factory import register_plugin
logger = logging.getLogger(__name__)
@register_plugin('creative')
class CreativePlugin(BaseDomainPlugin):
"""Creative/Design domain scoring plugin"""
def __init__(self):
super().__init__()
# Design tools and platforms
self.design_tools = [
'figma', 'sketch', 'adobe xd', 'photoshop', 'illustrator',
'after effects', 'premiere pro', 'blender', 'cinema 4d'
]
self.portfolio_platforms = ['behance', 'dribbble', 'artstation', 'deviantart']
def _get_domain_type(self) -> str:
return 'creative'
def _get_feature_weights(self) -> Dict[str, float]:
return {
'portfolio_quality': 0.35,
'project_diversity': 0.25,
'tool_proficiency': 0.20,
'platform_presence': 0.15,
'description_depth': 0.05
}
def get_required_fields(self) -> List[str]:
return ['portfolio_url']
def get_optional_fields(self) -> List[str]:
return ['behance_url', 'dribbble_url', 'design_tools_text', 'project_description']
def score(self, evidence_data: Dict) -> DomainScore:
"""Calculate creative domain score"""
start_time = time.time()
features = {}
# Portfolio analysis
portfolio_url = evidence_data.get('portfolio_url', '')
if portfolio_url:
features['portfolio_quality'] = self._analyze_portfolio_quality(portfolio_url)
else:
features['portfolio_quality'] = 0.0
# Platform presence
behance_url = evidence_data.get('behance_url', '')
dribbble_url = evidence_data.get('dribbble_url', '')
features['platform_presence'] = self._check_platform_presence(behance_url, dribbble_url)
# Tool proficiency
tools_text = evidence_data.get('design_tools_text', '')
features['tool_proficiency'] = self._assess_tool_proficiency(tools_text)
# Project diversity and description
project_desc = evidence_data.get('project_description', '')
features['project_diversity'] = self._assess_project_diversity(project_desc)
features['description_depth'] = self._assess_description_depth(project_desc)
# Calculate weighted score
score = sum(features[k] * self.feature_weights[k] for k in features.keys())
# Calculate confidence
confidence = self.calculate_confidence(evidence_data)
processing_time = (time.time() - start_time) * 1000
return DomainScore(
domain_type='creative',
score=min(score, 1.0),
confidence=confidence,
raw_features=features,
processing_time_ms=processing_time
)
def _analyze_portfolio_quality(self, portfolio_url: str) -> float:
"""
Analyze portfolio website quality
Returns: 0-1 score based on accessibility and professionalism
"""
try:
if not portfolio_url.startswith(('http://', 'https://')):
portfolio_url = 'https://' + portfolio_url
response = requests.head(portfolio_url, timeout=5, allow_redirects=True)
if response.status_code == 200:
score = 0.6 # Base score for accessible portfolio
# Bonus for professional platforms
if any(platform in portfolio_url for platform in self.portfolio_platforms):
score += 0.2
# Bonus for custom domain
if not any(free in portfolio_url for free in ['github.io', 'wixsite', 'wordpress.com']):
score += 0.2
logger.info(f"Portfolio quality: {score:.2f}")
return min(score, 1.0)
else:
return 0.2
except Exception as e:
logger.error(f"Error analyzing portfolio: {e}")
return 0.2
def _check_platform_presence(self, behance_url: str, dribbble_url: str) -> float:
"""
Check presence on design platforms
Returns: 0-1 score based on platform profiles
"""
score = 0.0
# Behance presence
if behance_url and 'behance.net' in behance_url:
try:
response = requests.head(behance_url, timeout=5, allow_redirects=True)
if response.status_code == 200:
score += 0.5
except:
score += 0.2 # Partial credit for providing URL
# Dribbble presence
if dribbble_url and 'dribbble.com' in dribbble_url:
try:
response = requests.head(dribbble_url, timeout=5, allow_redirects=True)
if response.status_code == 200:
score += 0.5
except:
score += 0.2
logger.info(f"Platform presence: {score:.2f}")
return min(score, 1.0)
def _assess_tool_proficiency(self, tools_text: str) -> float:
"""
Assess design tool proficiency
Returns: 0-1 score based on tool mentions
"""
if not tools_text:
return 0.0
text_lower = tools_text.lower()
# Count tool mentions
tool_count = sum(1 for tool in self.design_tools if tool in text_lower)
# Score based on tool diversity
score = min(tool_count / 5, 1.0) # 5+ tools = max
# Bonus for professional tools (Adobe, Figma)
pro_tools = ['figma', 'adobe', 'sketch']
if any(tool in text_lower for tool in pro_tools):
score = min(score + 0.2, 1.0)
logger.info(f"Tool proficiency: {score:.2f} ({tool_count} tools)")
return score
def _assess_project_diversity(self, project_desc: str) -> float:
"""
Assess project type diversity
Returns: 0-1 score based on project variety
"""
if not project_desc:
return 0.0
text_lower = project_desc.lower()
# Project type categories
project_types = [
'ui design', 'ux design', 'branding', 'logo', 'illustration',
'animation', '3d', 'web design', 'mobile app', 'poster',
'packaging', 'typography', 'infographic', 'video editing'
]
type_count = sum(1 for ptype in project_types if ptype in text_lower)
score = min(type_count / 6, 1.0) # 6+ types = max
logger.info(f"Project diversity: {score:.2f} ({type_count} types)")
return score
def _assess_description_depth(self, project_desc: str) -> float:
"""
Assess depth of project descriptions
Returns: 0-1 score based on detail level
"""
if not project_desc or len(project_desc) < 50:
return 0.0
score = min(len(project_desc) / 1000, 1.0) # 1000+ chars = max
logger.info(f"Description depth: {score:.2f}")
return score
|