first commit

email_triage.py

@@ -0,0 +1,47 @@
+import re
+from typing import Dict, List, Any, Tuple
+from dataclasses import dataclass
+
+@dataclass
+class EmailIntent:
+    is_actionable: bool
+    confidence: float
+    intent_type: str
+    reason: str
+
+class EmailTriage:
+    def __init__(self):
+        self.non_actionable_patterns = [
+            r'no-reply@', r'noreply@', r'newsletter', r'promotion',
+            r'unsubscribe', r'confirm your email', r'password reset'
+        ]
+        self.actionable_patterns = [
+            r'\?', r'can you', r'could you', r'please', r'help',
+            r'urgent', r'asap', r'follow up', r'status', r'update'
+        ]
+        self.non_actionable_regex = [re.compile(p, re.IGNORECASE) for p in self.non_actionable_patterns]
+        self.actionable_regex = [re.compile(p, re.IGNORECASE) for p in self.actionable_patterns]
+    
+    def analyze_email(self, email: Dict[str, Any]) -> EmailIntent:
+        from_addr = email.get('from', '').lower()
+        subject = email.get('subject', '').lower()
+        snippet = email.get('snippet', '').lower()
+        text = f"{from_addr} {subject} {snippet}"
+        
+        # Check non-actionable first
+        for pattern in self.non_actionable_regex:
+            if pattern.search(text):
+                return EmailIntent(False, 0.9, 'automated', 'Automated email detected')
+        
+        # Calculate actionable score
+        score = sum(len(p.findall(text)) * 0.2 for p in self.actionable_regex)
+        score += text.count('?') * 0.3
+        
+        if score > 0.3:
+            return EmailIntent(True, min(score, 0.9), 'actionable', f'Score: {score:.2f}')
+        
+        return EmailIntent(False, 0.5, 'unclear', 'No clear indicators')
+    
+    def filter_actionable_emails(self, emails: List[Dict[str, Any]]) -> List[Tuple[Dict[str, Any], EmailIntent]]:
+        return [(email, self.analyze_email(email)) for email in emails 
+                if self.analyze_email(email).is_actionable]