feat: implement Task 19 - Implement Real-Time Synchronization

- Created comprehensive synchronization system for bi-directional sync
- Implemented SyncManager with full, incremental, and selective sync modes
- Built ConflictResolver with vector clock-based conflict detection
- Added SyncQueue for offline mode with priority-based queuing
- Integrated WebSocket support for real-time updates
- Created conflict resolution strategies (local wins, server wins, merge, manual)
- Added progress monitoring and sync status reporting
- Implemented retry logic and failure handling
- Built vector clock system for concurrent modification detection

Key Components:
- SyncManager: Main orchestrator for bi-directional synchronization
- ConflictResolver: Intelligent conflict detection and resolution
- SyncQueue: Offline-capable queue with priority and retry logic
- Vector clocks for distributed conflict detection
- WebSocket integration for real-time pattern updates
- Comprehensive error handling and logging

✅ Quality: All critical lint checks passing, zero F,E9 violations
✅ Tests: Core sync functionality verified with unit tests
📋 TaskMaster: Task 19 marked complete (18/25 tasks done - 72% progress)
🎯 Next: Task 20 - Create Team Management and Access Control

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

Author: MementoRC

src/uckn/sync/__init__.py

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+"""
+UCKN Real-Time Synchronization System
+Provides bi-directional sync between local and server knowledge stores.
+"""
+
+from .sync_manager import SyncManager
+from .conflict_resolver import ConflictResolver
+from .sync_queue import SyncQueue
+
+__all__ = ["SyncManager", "ConflictResolver", "SyncQueue"]

src/uckn/sync/conflict_resolver.py

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+"""
+UCKN Conflict Resolution System
+Handles conflict detection and resolution for pattern synchronization.
+"""
+
+import logging
+from datetime import datetime
+from typing import Dict, Any, Optional
+from enum import Enum
+
+
+class ConflictType(Enum):
+    """Types of synchronization conflicts."""
+    CONCURRENT_EDIT = "concurrent_edit"
+    VERSION_MISMATCH = "version_mismatch"
+    SCHEMA_CONFLICT = "schema_conflict"
+    CONTENT_CONFLICT = "content_conflict"
+
+
+class ResolutionStrategy(Enum):
+    """Conflict resolution strategies."""
+    LOCAL_WINS = "local_wins"
+    SERVER_WINS = "server_wins"
+    MERGE = "merge"
+    MANUAL = "manual"
+    NEWEST_WINS = "newest_wins"
+
+
+class ConflictResolver:
+    """
+    Handles conflict detection and resolution for pattern synchronization.
+    
+    Features:
+    - Vector clock-based conflict detection
+    - Multiple resolution strategies
+    - Content-aware merging
+    - Interactive conflict resolution
+    """
+    
+    def __init__(self):
+        self.logger = logging.getLogger(__name__)
+        self.default_strategy = ResolutionStrategy.MANUAL
+    
+    def detect_conflict(
+        self,
+        local_pattern: Dict[str, Any],
+        server_pattern: Dict[str, Any]
+    ) -> Optional[Dict[str, Any]]:
+        """
+        Detect conflicts between local and server patterns.
+        
+        Args:
+            local_pattern: Local version of the pattern
+            server_pattern: Server version of the pattern
+            
+        Returns:
+            Conflict description if conflict detected, None otherwise
+        """
+        if not local_pattern or not server_pattern:
+            return None
+        
+        # Check vector clocks
+        local_clock = local_pattern.get("vector_clock", {})
+        server_clock = server_pattern.get("vector_clock", {})
+        
+        if self._is_concurrent_modification(local_clock, server_clock):
+            conflict_type = self._determine_conflict_type(local_pattern, server_pattern)
+            
+            return {
+                "type": conflict_type.value,
+                "pattern_id": local_pattern.get("id"),
+                "local_version": local_pattern,
+                "server_version": server_pattern,
+                "local_clock": local_clock,
+                "server_clock": server_clock,
+                "detected_at": datetime.now().isoformat()
+            }
+        
+        return None
+    
+    def _is_concurrent_modification(
+        self,
+        clock1: Dict[str, int],
+        clock2: Dict[str, int]
+    ) -> bool:
+        """Check if two vector clocks indicate concurrent modifications."""
+        # Two clocks are concurrent if neither dominates the other
+        clock1_dominates = all(clock1.get(k, 0) >= v for k, v in clock2.items())
+        clock2_dominates = all(clock2.get(k, 0) >= v for k, v in clock1.items())
+        
+        # If neither dominates, it's a concurrent modification
+        return not (clock1_dominates or clock2_dominates)
+    
+    def _determine_conflict_type(
+        self,
+        local_pattern: Dict[str, Any],
+        server_pattern: Dict[str, Any]
+    ) -> ConflictType:
+        """Determine the type of conflict based on pattern differences."""
+        local_content = local_pattern.get("document", "")
+        server_content = server_pattern.get("document", "")
+        
+        local_meta = local_pattern.get("metadata", {})
+        server_meta = server_pattern.get("metadata", {})
+        
+        # Check for content conflicts
+        if local_content != server_content:
+            return ConflictType.CONTENT_CONFLICT
+        
+        # Check for metadata/schema conflicts
+        if set(local_meta.keys()) != set(server_meta.keys()):
+            return ConflictType.SCHEMA_CONFLICT
+        
+        # Check for value conflicts in metadata
+        for key in local_meta:
+            if local_meta[key] != server_meta.get(key):
+                return ConflictType.CONCURRENT_EDIT
+        
+        return ConflictType.VERSION_MISMATCH
+    
+    def resolve_conflict(
+        self,
+        conflict: Dict[str, Any],
+        strategy: Optional[ResolutionStrategy] = None
+    ) -> Dict[str, Any]:
+        """
+        Resolve a conflict using the specified strategy.
+        
+        Args:
+            conflict: Conflict description from detect_conflict
+            strategy: Resolution strategy to use
+            
+        Returns:
+            Resolution result with resolved pattern
+        """
+        strategy = strategy or self.default_strategy
+        
+        try:
+            if strategy == ResolutionStrategy.LOCAL_WINS:
+                return self._resolve_local_wins(conflict)
+            elif strategy == ResolutionStrategy.SERVER_WINS:
+                return self._resolve_server_wins(conflict)
+            elif strategy == ResolutionStrategy.NEWEST_WINS:
+                return self._resolve_newest_wins(conflict)
+            elif strategy == ResolutionStrategy.MERGE:
+                return self._resolve_merge(conflict)
+            else:  # MANUAL
+                return self._resolve_manual(conflict)
+                
+        except Exception as e:
+            self.logger.error(f"Error resolving conflict: {e}")
+            return {
+                "success": False,
+                "error": str(e),
+                "conflict": conflict
+            }
+    
+    def _resolve_local_wins(self, conflict: Dict[str, Any]) -> Dict[str, Any]:
+        """Resolve conflict by keeping local version."""
+        local_pattern = conflict["local_version"]
+        
+        # Update vector clock to indicate resolution
+        new_clock = self._merge_vector_clocks(
+            conflict["local_clock"],
+            conflict["server_clock"]
+        )
+        
+        resolved_pattern = {
+            **local_pattern,
+            "vector_clock": new_clock,
+            "resolved_at": datetime.now().isoformat(),
+            "resolution_strategy": "local_wins"
+        }
+        
+        return {
+            "success": True,
+            "strategy": "local_wins",
+            "resolved_pattern": resolved_pattern
+        }
+    
+    def _resolve_server_wins(self, conflict: Dict[str, Any]) -> Dict[str, Any]:
+        """Resolve conflict by keeping server version."""
+        server_pattern = conflict["server_version"]
+        
+        # Update vector clock
+        new_clock = self._merge_vector_clocks(
+            conflict["local_clock"],
+            conflict["server_clock"]
+        )
+        
+        resolved_pattern = {
+            **server_pattern,
+            "vector_clock": new_clock,
+            "resolved_at": datetime.now().isoformat(),
+            "resolution_strategy": "server_wins"
+        }
+        
+        return {
+            "success": True,
+            "strategy": "server_wins",
+            "resolved_pattern": resolved_pattern
+        }
+    
+    def _resolve_newest_wins(self, conflict: Dict[str, Any]) -> Dict[str, Any]:
+        """Resolve conflict by keeping the newest version."""
+        local_pattern = conflict["local_version"]
+        server_pattern = conflict["server_version"]
+        
+        # Compare timestamps
+        local_time = local_pattern.get("updated_at")
+        server_time = server_pattern.get("updated_at")
+        
+        if not local_time or not server_time:
+            # Fall back to local wins if timestamps unavailable
+            return self._resolve_local_wins(conflict)
+        
+        try:
+            local_dt = datetime.fromisoformat(local_time.replace('Z', '+00:00'))
+            server_dt = datetime.fromisoformat(server_time.replace('Z', '+00:00'))
+            
+            if local_dt >= server_dt:
+                return self._resolve_local_wins(conflict)
+            else:
+                return self._resolve_server_wins(conflict)
+                
+        except Exception:
+            # Fall back to local wins if timestamp parsing fails
+            return self._resolve_local_wins(conflict)
+    
+    def _resolve_merge(self, conflict: Dict[str, Any]) -> Dict[str, Any]:
+        """Resolve conflict by merging local and server versions."""
+        local_pattern = conflict["local_version"]
+        server_pattern = conflict["server_version"]
+        
+        try:
+            # Merge metadata (server values take precedence for conflicts)
+            merged_metadata = {**local_pattern.get("metadata", {})}
+            merged_metadata.update(server_pattern.get("metadata", {}))
+            
+            # For document content, prefer the longer version
+            local_doc = local_pattern.get("document", "")
+            server_doc = server_pattern.get("document", "")
+            
+            merged_doc = local_doc if len(local_doc) > len(server_doc) else server_doc
+            
+            # Create merged pattern
+            merged_pattern = {
+                "id": local_pattern["id"],
+                "document": merged_doc,
+                "metadata": merged_metadata,
+                "vector_clock": self._merge_vector_clocks(
+                    conflict["local_clock"],
+                    conflict["server_clock"]
+                ),
+                "resolved_at": datetime.now().isoformat(),
+                "resolution_strategy": "merge",
+                "merge_source": "auto_merge"
+            }
+            
+            # Keep other fields from local version
+            for key, value in local_pattern.items():
+                if key not in merged_pattern:
+                    merged_pattern[key] = value
+            
+            return {
+                "success": True,
+                "strategy": "merge",
+                "resolved_pattern": merged_pattern
+            }
+            
+        except Exception as e:
+            self.logger.error(f"Error in merge resolution: {e}")
+            # Fall back to local wins
+            return self._resolve_local_wins(conflict)
+    
+    def _resolve_manual(self, conflict: Dict[str, Any]) -> Dict[str, Any]:
+        """Return conflict for manual resolution."""
+        return {
+            "success": False,
+            "strategy": "manual",
+            "requires_manual_resolution": True,
+            "conflict": conflict,
+            "resolution_options": [
+                "local_wins",
+                "server_wins", 
+                "newest_wins",
+                "merge"
+            ]
+        }
+    
+    def _merge_vector_clocks(
+        self,
+        clock1: Dict[str, int],
+        clock2: Dict[str, int]
+    ) -> Dict[str, int]:
+        """Merge two vector clocks by taking the maximum value for each key."""
+        merged = clock1.copy()
+        
+        for key, value in clock2.items():
+            merged[key] = max(merged.get(key, 0), value)
+        
+        return merged
+    
+    def suggest_resolution_strategy(
+        self,
+        conflict: Dict[str, Any]
+    ) -> ResolutionStrategy:
+        """Suggest the best resolution strategy for a conflict."""
+        conflict_type = ConflictType(conflict.get("type", "concurrent_edit"))
+        
+        # Strategy suggestions based on conflict type
+        if conflict_type == ConflictType.VERSION_MISMATCH:
+            return ResolutionStrategy.NEWEST_WINS
+        elif conflict_type == ConflictType.SCHEMA_CONFLICT:
+            return ResolutionStrategy.MANUAL
+        elif conflict_type == ConflictType.CONTENT_CONFLICT:
+            # Check if content can be safely merged
+            local_doc = conflict["local_version"].get("document", "")
+            server_doc = conflict["server_version"].get("document", "")
+            
+            if self._can_auto_merge_content(local_doc, server_doc):
+                return ResolutionStrategy.MERGE
+            else:
+                return ResolutionStrategy.MANUAL
+        else:
+            return ResolutionStrategy.NEWEST_WINS
+    
+    def _can_auto_merge_content(self, content1: str, content2: str) -> bool:
+        """Check if two content strings can be safely auto-merged."""
+        # Simple heuristic: if one is a subset of the other, merge is safe
+        if content1 in content2 or content2 in content1:
+            return True
+        
+        # If contents are similar (>80% similarity), merge might be safe
+        similarity = self._calculate_similarity(content1, content2)
+        return similarity > 0.8
+    
+    def _calculate_similarity(self, text1: str, text2: str) -> float:
+        """Calculate similarity between two text strings."""
+        if not text1 or not text2:
+            return 0.0
+        
+        # Simple Jaccard similarity on words
+        words1 = set(text1.lower().split())
+        words2 = set(text2.lower().split())
+        
+        intersection = words1 & words2
+        union = words1 | words2
+        
+        return len(intersection) / len(union) if union else 0.0