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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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 | """Tech/CS Domain Plugin
Scores technical competency based on:
- GitHub activity (commits, repos, stars, descriptions)
- LeetCode profile (problems solved, ranking)
- Portfolio links (project depth 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('tech')
class TechPlugin(BaseDomainPlugin):
"""Technical domain scoring plugin"""
def _get_domain_type(self) -> str:
return 'tech'
def _get_feature_weights(self) -> Dict[str, float]:
return {
'github_activity_score': 0.30,
'github_repo_quality': 0.20,
'leetcode_score': 0.25,
'portfolio_depth': 0.15,
'recent_activity': 0.10
}
def get_required_fields(self) -> List[str]:
return ['github_url'] # At least GitHub is required
def get_optional_fields(self) -> List[str]:
return ['leetcode_handle', 'portfolio_url', 'linkedin_url']
def score(self, evidence_data: Dict) -> DomainScore:
"""Calculate tech domain score"""
start_time = time.time()
features = {}
# GitHub analysis
github_url = evidence_data.get('github_url', '')
if github_url:
features['github_activity_score'] = self._analyze_github_activity(github_url)
features['github_repo_quality'] = self._analyze_repo_quality(github_url)
features['recent_activity'] = self._check_recent_commits(github_url)
else:
features['github_activity_score'] = 0.0
features['github_repo_quality'] = 0.0
features['recent_activity'] = 0.0
# LeetCode analysis
leetcode_handle = evidence_data.get('leetcode_handle', '')
if leetcode_handle:
features['leetcode_score'] = self._analyze_leetcode(leetcode_handle)
else:
features['leetcode_score'] = 0.0
# Portfolio analysis
portfolio_url = evidence_data.get('portfolio_url', '')
if portfolio_url:
features['portfolio_depth'] = self._analyze_portfolio(portfolio_url)
else:
features['portfolio_depth'] = 0.0
# 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='tech',
score=min(score, 1.0),
confidence=confidence,
raw_features=features,
processing_time_ms=processing_time
)
def _analyze_github_activity(self, github_url: str) -> float:
"""
Analyze GitHub profile activity
Returns: 0-1 score based on public repos, commits, contributions
"""
try:
username = self._extract_github_username(github_url)
if not username:
return 0.0
# GitHub API endpoint
api_url = f"https://api.github.com/users/{username}"
headers = {'Accept': 'application/vnd.github.v3+json'}
response = requests.get(api_url, headers=headers, timeout=5)
if response.status_code != 200:
logger.warning(f"GitHub API error for {username}: {response.status_code}")
return 0.3 # Fallback score if API fails
data = response.json()
# Extract metrics
public_repos = data.get('public_repos', 0)
followers = data.get('followers', 0)
following = data.get('following', 0)
# Simple scoring heuristic
repo_score = min(public_repos / 20, 1.0) * 0.5 # 20+ repos = max
follower_score = min(followers / 50, 1.0) * 0.3 # 50+ followers = max
engagement_score = min((followers + following) / 100, 1.0) * 0.2
total_score = repo_score + follower_score + engagement_score
logger.info(f"GitHub activity for {username}: {total_score:.2f}")
return total_score
except Exception as e:
logger.error(f"Error analyzing GitHub activity: {e}")
return 0.3 # Fallback score
def _analyze_repo_quality(self, github_url: str) -> float:
"""
Analyze quality of top repositories
Returns: 0-1 score based on stars, forks, descriptions
"""
try:
username = self._extract_github_username(github_url)
if not username:
return 0.0
# Get repos sorted by stars
api_url = f"https://api.github.com/users/{username}/repos?sort=stars&per_page=10"
headers = {'Accept': 'application/vnd.github.v3+json'}
response = requests.get(api_url, headers=headers, timeout=5)
if response.status_code != 200:
return 0.3
repos = response.json()
if not repos:
return 0.0
# Analyze top repos
total_stars = sum(r.get('stargazers_count', 0) for r in repos[:5])
total_forks = sum(r.get('forks_count', 0) for r in repos[:5])
has_descriptions = sum(1 for r in repos[:5] if r.get('description'))
has_readmes = sum(1 for r in repos[:5] if r.get('has_wiki') or r.get('has_pages'))
star_score = min(total_stars / 50, 1.0) * 0.4 # 50+ stars = max
fork_score = min(total_forks / 20, 1.0) * 0.2 # 20+ forks = max
desc_score = (has_descriptions / 5) * 0.2
readme_score = (has_readmes / 5) * 0.2
total_score = star_score + fork_score + desc_score + readme_score
logger.info(f"GitHub repo quality for {username}: {total_score:.2f}")
return total_score
except Exception as e:
logger.error(f"Error analyzing repo quality: {e}")
return 0.3
def _check_recent_commits(self, github_url: str) -> float:
"""
Check for recent activity (commits in last 90 days)
Returns: 0-1 score based on recency
"""
try:
username = self._extract_github_username(github_url)
if not username:
return 0.0
# Get recent events
api_url = f"https://api.github.com/users/{username}/events/public?per_page=30"
headers = {'Accept': 'application/vnd.github.v3+json'}
response = requests.get(api_url, headers=headers, timeout=5)
if response.status_code != 200:
return 0.5 # Neutral fallback
events = response.json()
# Count push events (commits) in last 90 days
from datetime import datetime, timedelta
ninety_days_ago = datetime.now() - timedelta(days=90)
recent_commits = 0
for event in events:
if event.get('type') == 'PushEvent':
created_at = datetime.strptime(event['created_at'], '%Y-%m-%dT%H:%M:%SZ')
if created_at > ninety_days_ago:
recent_commits += 1
# Score based on commit frequency
score = min(recent_commits / 20, 1.0) # 20+ commits in 90 days = max
logger.info(f"Recent activity for {username}: {score:.2f} ({recent_commits} commits)")
return score
except Exception as e:
logger.error(f"Error checking recent activity: {e}")
return 0.5
def _analyze_leetcode(self, leetcode_handle: str) -> float:
"""
Analyze LeetCode profile
Returns: 0-1 score based on problems solved and ranking
Note: LeetCode doesn't have an official public API, so this uses heuristic fallback
In production, consider using unofficial APIs or web scraping with proper rate limiting
"""
try:
# Placeholder for LeetCode analysis
# In real implementation, would scrape profile or use unofficial API
# For now, return medium score if handle is provided
logger.info(f"LeetCode handle provided: {leetcode_handle}")
return 0.5 # Neutral score when handle exists
except Exception as e:
logger.error(f"Error analyzing LeetCode: {e}")
return 0.0
def _analyze_portfolio(self, portfolio_url: str) -> float:
"""
Analyze portfolio website
Returns: 0-1 score based on presence and basic checks
"""
try:
# Basic URL validation
if not portfolio_url.startswith(('http://', 'https://')):
portfolio_url = 'https://' + portfolio_url
# Check if URL is accessible
response = requests.head(portfolio_url, timeout=5, allow_redirects=True)
if response.status_code == 200:
# Portfolio exists and is accessible
score = 0.7
# Bonus for custom domain (not github.io, netlify.app, etc.)
if not any(host in portfolio_url for host in ['github.io', 'netlify.app', 'vercel.app', 'repl.it']):
score += 0.3
logger.info(f"Portfolio accessible: {portfolio_url} (score: {score})")
return min(score, 1.0)
else:
logger.warning(f"Portfolio not accessible: {portfolio_url}")
return 0.2 # Some credit for providing URL
except Exception as e:
logger.error(f"Error analyzing portfolio: {e}")
return 0.2
def _extract_github_username(self, github_url: str) -> str:
"""Extract username from GitHub URL"""
# Handle formats: https://github.com/username or github.com/username
pattern = r'github\.com/([a-zA-Z0-9_-]+)'
match = re.search(pattern, github_url)
return match.group(1) if match else ''
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