"""
Conflict Detector

This module provides comprehensive conflict detection capabilities for the
Semantica framework, detecting conflicts from multiple sources and tracking
source disagreements for compliance and investigation.

Algorithms Used:

Conflict Detection:
    - Value Comparison: Property value comparison across sources with equality checking
    - Type Mismatch Detection: Entity type comparison and mismatch identification
    - Relationship Consistency: Relationship property comparison and inconsistency detection
    - Temporal Analysis: Time-based conflict detection using timestamp comparison
    - Logical Consistency: Logical rule validation and inconsistency detection

Severity Calculation:
    - Multi-factor Severity Scoring: Combines property importance, value difference magnitude,
      and source count to calculate conflict severity (low, medium, high, critical)
    - Critical Field Detection: Identifies critical fields (id, name, type, etc.) for higher severity
    - Numeric Difference Analysis: Calculates severity based on numeric value differences

Confidence Scoring:
    - Source Credibility Weighting: Uses average confidence of sources
    - Value Diversity Factor: Higher confidence for more diverse conflicting values
    - Combined Confidence: Combines source confidence and value diversity

Key Features:
    - Detects property value conflicts
    - Identifies relationship conflicts
    - Tracks source disagreements
    - Generates conflict reports
    - Provides investigation guides
    - Multiple conflict types (value, type, relationship, temporal, logical)
    - Severity calculation
    - Confidence scoring
    - Source provenance tracking

Main Classes:
    - ConflictType: Conflict type enumeration
    - Conflict: Conflict information data structure
    - ConflictDetector: Conflict detector for multi-source conflict identification

Example Usage:
    >>> from semantica.conflicts import ConflictDetector
    >>> detector = ConflictDetector()
    >>> conflicts = detector.detect_value_conflicts(entities, "name")
    >>> report = detector.get_conflict_report()

Author: Semantica Contributors
License: MIT
"""

from dataclasses import dataclass, field
from enum import Enum
from typing import Any, Dict, List, Optional, Set

from ..utils.exceptions import ProcessingError, ValidationError
from ..utils.logging import get_logger
from ..utils.progress_tracker import get_progress_tracker
from .source_tracker import SourceReference, SourceTracker


class ConflictType(str, Enum):
    """Conflict type enumeration."""

    VALUE_CONFLICT = "value_conflict"
    TYPE_CONFLICT = "type_conflict"
    RELATIONSHIP_CONFLICT = "relationship_conflict"
    TEMPORAL_CONFLICT = "temporal_conflict"
    LOGICAL_CONFLICT = "logical_conflict"


@dataclass
class Conflict:
    """Conflict information."""

    conflict_id: str
    conflict_type: ConflictType
    entity_id: Optional[str] = None
    property_name: Optional[str] = None
    relationship_id: Optional[str] = None
    conflicting_values: List[Any] = field(default_factory=list)
    sources: List[Dict[str, Any]] = field(default_factory=list)
    confidence: float = 1.0
    severity: str = "medium"  # low, medium, high, critical
    recommended_action: Optional[str] = None
    metadata: Dict[str, Any] = field(default_factory=dict)


class ConflictDetector:
    """
    Conflict detector for multi-source conflict identification.

    • Detects property value conflicts
    • Identifies relationship conflicts
    • Tracks source disagreements
    • Generates conflict reports
    • Provides investigation guides
    """

    def __init__(self, config: Optional[Dict[str, Any]] = None, **kwargs):
        """
        Initialize conflict detector.

        Args:
            config: Configuration dictionary
            **kwargs: Additional configuration options:
                - track_provenance: Track source provenance (default: True)
                - conflict_fields: Fields to monitor for conflicts
                - confidence_threshold: Minimum confidence for conflicts (default: 0.7)
                - auto_resolve: Auto-resolve simple conflicts (default: False)
        """
        self.logger = get_logger("conflict_detector")
        self.config = config or {}
        self.config.update(kwargs)

        self.source_tracker = SourceTracker()
        self.track_provenance = self.config.get("track_provenance", True)
        self.conflict_fields = self.config.get("conflict_fields", {})
        self.confidence_threshold = self.config.get("confidence_threshold", 0.7)
        self.auto_resolve = self.config.get("auto_resolve", False)

        # Initialize progress tracker
        self.progress_tracker = get_progress_tracker()

        self.detected_conflicts: Dict[str, Conflict] = {}

    def detect_value_conflicts(
        self,
        entities: List[Dict[str, Any]],
        property_name: str,
        entity_type: Optional[str] = None,
    ) -> List[Conflict]:
        """
        Detect property value conflicts.

        Args:
            entities: List of entity dictionaries
            property_name: Property name to check
            entity_type: Optional entity type filter

        Returns:
            List of detected conflicts
        """
        # Track conflict detection
        tracking_id = self.progress_tracker.start_tracking(
            file=None,
            module="conflicts",
            submodule="ConflictDetector",
            message=f"Detecting value conflicts for property: {property_name}",
        )

        try:
            conflicts = []

            # Group entities by ID (same entity from different sources)
            entity_groups: Dict[str, List[Dict[str, Any]]] = {}

            self.progress_tracker.update_tracking(
                tracking_id, message=f"Analyzing {len(entities)} entities..."
            )

            for entity in entities:
                entity_id = entity.get("id") or entity.get("entity_id")
                if not entity_id:
                    continue

                if entity_type and entity.get("type") != entity_type:
                    continue

                if entity_id not in entity_groups:
                    entity_groups[entity_id] = []
                entity_groups[entity_id].append(entity)

            # Check each entity group for conflicts
            for entity_id, entity_list in entity_groups.items():
                if len(entity_list) < 2:
                    continue  # Need at least 2 sources to have conflict

                values = []
                sources = []

                for entity in entity_list:
                    if property_name in entity:
                        value = entity[property_name]
                        values.append(value)

                        # Track source if available
                        if self.track_provenance:
                            source_ref = SourceReference(
                                document=entity.get("source", "unknown"),
                                page=entity.get("page"),
                                section=entity.get("section"),
                                confidence=entity.get("confidence", 1.0),
                                metadata=entity.get("metadata", {}),
                            )
                            self.source_tracker.track_property_source(
                                entity_id, property_name, value, source_ref
                            )
                            sources.append(
                                {
                                    "document": source_ref.document,
                                    "page": source_ref.page,
                                    "confidence": source_ref.confidence,
                                    "metadata": source_ref.metadata,
                                }
                            )

                # Check for value conflicts
                unique_values = list(set(str(v) for v in values if v is not None))

                if len(unique_values) > 1:
                    conflict = Conflict(
                        conflict_id=f"{entity_id}_{property_name}_conflict",
                        conflict_type=ConflictType.VALUE_CONFLICT,
                        entity_id=entity_id,
                        property_name=property_name,
                        conflicting_values=values,
                        sources=sources,
                        confidence=self._calculate_conflict_confidence(values, sources),
                        severity=self._calculate_severity(property_name, values),
                        recommended_action=self._recommend_action(
                            property_name, values
                        ),
                    )
                    conflicts.append(conflict)
                    self.detected_conflicts[conflict.conflict_id] = conflict

                    self.logger.warning(
                        f"Value conflict detected: {entity_id}.{property_name} "
                        f"has conflicting values: {unique_values}"
                    )

            self.progress_tracker.stop_tracking(
                tracking_id,
                status="completed",
                message=f"Detected {len(conflicts)} conflicts",
            )
            return conflicts

        except Exception as e:
            self.progress_tracker.stop_tracking(
                tracking_id, status="failed", message=str(e)
            )
            raise

    def detect_property_conflicts(
        self, entities: List[Dict[str, Any]], property_name: str
    ) -> List[Conflict]:
        """
        Detect conflicts in a specific property across entities.

        Args:
            entities: List of entity dictionaries
            property_name: Property name to check

        Returns:
            List of detected conflicts
        """
        return self.detect_value_conflicts(entities, property_name)

    def detect_relationship_conflicts(
        self, relationships: List[Dict[str, Any]]
    ) -> List[Conflict]:
        """
        Detect conflicts in relationships.

        Args:
            relationships: List of relationship dictionaries

        Returns:
            List of detected conflicts
        """
        conflicts = []

        # Group relationships by ID
        rel_groups: Dict[str, List[Dict[str, Any]]] = {}

        for rel in relationships:
            rel_id = (
                rel.get("id")
                or f"{rel.get('source_id')}_{rel.get('target_id')}_{rel.get('type')}"
            )

            if rel_id not in rel_groups:
                rel_groups[rel_id] = []
            rel_groups[rel_id].append(rel)

        # Check for conflicts
        for rel_id, rel_list in rel_groups.items():
            if len(rel_list) < 2:
                continue

            # Check for conflicting properties
            for prop_name in ["type", "properties", "confidence"]:
                values = [r.get(prop_name) for r in rel_list if prop_name in r]
                unique_values = list(set(str(v) for v in values if v is not None))

                if len(unique_values) > 1:
                    conflict = Conflict(
                        conflict_id=f"{rel_id}_{prop_name}_conflict",
                        conflict_type=ConflictType.RELATIONSHIP_CONFLICT,
                        relationship_id=rel_id,
                        property_name=prop_name,
                        conflicting_values=values,
                        confidence=0.8,
                        severity="medium",
                        recommended_action="Review relationship definition",
                    )
                    conflicts.append(conflict)
                    self.detected_conflicts[conflict.conflict_id] = conflict

        return conflicts

    def detect_entity_conflicts(
        self, entities: List[Dict[str, Any]], entity_type: Optional[str] = None
    ) -> List[Conflict]:
        """
        Detect conflicts across all monitored properties for entities.

        Args:
            entities: List of entity dictionaries
            entity_type: Optional entity type filter

        Returns:
            List of detected conflicts
        """
        all_conflicts = []

        # Get fields to monitor
        if entity_type and entity_type in self.conflict_fields:
            fields_to_check = self.conflict_fields[entity_type]
        else:
            # Check all common properties
            fields_to_check = set()
            for entity in entities:
                fields_to_check.update(entity.keys())
            fields_to_check = list(
                fields_to_check - {"id", "entity_id", "type", "source", "metadata"}
            )

        # Check each field
        for field in fields_to_check:
            conflicts = self.detect_value_conflicts(entities, field, entity_type)
            all_conflicts.extend(conflicts)

        return all_conflicts

    def _calculate_conflict_confidence(
        self, values: List[Any], sources: List[Dict[str, Any]]
    ) -> float:
        """Calculate confidence score for conflict."""
        if not sources:
            return 0.5

        # Average confidence of sources
        avg_confidence = sum(s.get("confidence", 0.5) for s in sources) / len(sources)

        # Higher confidence if values are very different
        value_diversity = (
            len(set(str(v) for v in values)) / len(values) if values else 0
        )

        return min(1.0, avg_confidence * (1 + value_diversity))

    def _calculate_severity(self, property_name: str, values: List[Any]) -> str:
        """Calculate conflict severity."""
        # Critical fields
        critical_fields = ["id", "name", "type", "founded_year", "revenue"]
        if property_name.lower() in critical_fields:
            return "critical"

        # High severity for numeric conflicts with large differences
        try:
            numeric_values = [float(v) for v in values if v is not None]
            if numeric_values:
                value_range = max(numeric_values) - min(numeric_values)
                if value_range > 1000:  # Large difference
                    return "high"
        except (ValueError, TypeError):
            pass

        return "medium"

    def _recommend_action(self, property_name: str, values: List[Any]) -> str:
        """Recommend action for conflict."""
        try:
            if len(set(values)) == 2:
                return (
                    "Compare source documents and use most recent or authoritative source"
                )
        except TypeError:
            # Handle unhashable types (like dicts or lists)
            # Convert to string representation for set comparison
            str_values = [str(v) for v in values]
            if len(set(str_values)) == 2:
                return (
                    "Compare source documents and use most recent or authoritative source"
                )

        return "Multiple conflicting values detected. Manual review recommended."

    def get_conflict_report(self) -> Dict[str, Any]:
        """
        Generate conflict report.

        Returns:
            Conflict report dictionary
        """
        report = {
            "total_conflicts": len(self.detected_conflicts),
            "by_type": {},
            "by_severity": {},
            "conflicts": [],
        }

        for conflict in self.detected_conflicts.values():
            # Count by type
            conflict_type = conflict.conflict_type.value
            report["by_type"][conflict_type] = (
                report["by_type"].get(conflict_type, 0) + 1
            )

            # Count by severity
            report["by_severity"][conflict.severity] = (
                report["by_severity"].get(conflict.severity, 0) + 1
            )

            # Add conflict details
            conflict_data = {
                "conflict_id": conflict.conflict_id,
                "type": conflict_type,
                "entity_id": conflict.entity_id,
                "property_name": conflict.property_name,
                "severity": conflict.severity,
                "conflicting_values": conflict.conflicting_values,
                "sources": conflict.sources,
                "recommended_action": conflict.recommended_action,
            }
            report["conflicts"].append(conflict_data)

        return report

    def detect_type_conflicts(
        self, entities: List[Dict[str, Any]]
    ) -> List[Conflict]:
        """
        Detect entity type conflicts.

        Args:
            entities: List of entity dictionaries

        Returns:
            List of detected conflicts
        """
        tracking_id = self.progress_tracker.start_tracking(
            file=None,
            module="conflicts",
            submodule="ConflictDetector",
            message="Detecting type conflicts",
        )

        try:
            conflicts = []

            # Group entities by ID
            entity_groups: Dict[str, List[Dict[str, Any]]] = {}

            for entity in entities:
                entity_id = entity.get("id") or entity.get("entity_id")
                if not entity_id:
                    continue

                if entity_id not in entity_groups:
                    entity_groups[entity_id] = []
                entity_groups[entity_id].append(entity)

            # Check each entity group for type conflicts
            for entity_id, entity_list in entity_groups.items():
                if len(entity_list) < 2:
                    continue  # Need at least 2 sources to have conflict

                types = []
                sources = []

                for entity in entity_list:
                    entity_type = entity.get("type") or entity.get("entity_type")
                    if entity_type:
                        types.append(entity_type)

                        if self.track_provenance:
                            source_ref = SourceReference(
                                document=entity.get("source", "unknown"),
                                page=entity.get("page"),
                                section=entity.get("section"),
                                confidence=entity.get("confidence", 1.0),
                                metadata=entity.get("metadata", {}),
                            )
                            self.source_tracker.track_entity_source(
                                entity_id, source_ref
                            )
                            sources.append(
                                {
                                    "document": source_ref.document,
                                    "page": source_ref.page,
                                    "confidence": source_ref.confidence,
                                }
                            )

                # Check for type conflicts
                unique_types = list(set(str(t) for t in types if t is not None))

                if len(unique_types) > 1:
                    conflict = Conflict(
                        conflict_id=f"{entity_id}_type_conflict",
                        conflict_type=ConflictType.TYPE_CONFLICT,
                        entity_id=entity_id,
                        property_name="type",
                        conflicting_values=types,
                        sources=sources,
                        confidence=self._calculate_conflict_confidence(types, sources),
                        severity=self._calculate_severity("type", types),
                        recommended_action="Review entity type definitions and classification",
                    )
                    conflicts.append(conflict)
                    self.detected_conflicts[conflict.conflict_id] = conflict

                    self.logger.warning(
                        f"Type conflict detected: {entity_id} has conflicting types: {unique_types}"
                    )

            self.progress_tracker.stop_tracking(
                tracking_id,
                status="completed",
                message=f"Detected {len(conflicts)} type conflicts",
            )
            return conflicts

        except Exception as e:
            self.progress_tracker.stop_tracking(
                tracking_id, status="failed", message=str(e)
            )
            raise

    def detect_temporal_conflicts(
        self, entities: List[Dict[str, Any]]
    ) -> List[Conflict]:
        """
        Detect temporal conflicts (e.g., founded year conflicts).

        Args:
            entities: List of entity dictionaries

        Returns:
            List of detected conflicts
        """
        tracking_id = self.progress_tracker.start_tracking(
            file=None,
            module="conflicts",
            submodule="ConflictDetector",
            message="Detecting temporal conflicts",
        )

        try:
            conflicts = []

            # Temporal property patterns
            temporal_properties = [
                "founded",
                "founded_year",
                "established",
                "created",
                "timestamp",
                "date",
                "start_date",
                "end_date",
            ]

            # Group entities by ID
            entity_groups: Dict[str, List[Dict[str, Any]]] = {}

            for entity in entities:
                entity_id = entity.get("id") or entity.get("entity_id")
                if not entity_id:
                    continue

                if entity_id not in entity_groups:
                    entity_groups[entity_id] = []
                entity_groups[entity_id].append(entity)

            # Check each entity group for temporal conflicts
            for entity_id, entity_list in entity_groups.items():
                if len(entity_list) < 2:
                    continue

                # Check each temporal property
                for prop_name in temporal_properties:
                    values = []
                    sources = []

                    for entity in entity_list:
                        if prop_name in entity:
                            value = entity[prop_name]
                            values.append(value)

                            if self.track_provenance:
                                source_ref = SourceReference(
                                    document=entity.get("source", "unknown"),
                                    page=entity.get("page"),
                                    section=entity.get("section"),
                                    confidence=entity.get("confidence", 1.0),
                                    metadata=entity.get("metadata", {}),
                                )
                                self.source_tracker.track_property_source(
                                    entity_id, prop_name, value, source_ref
                                )
                                sources.append(
                                    {
                                        "document": source_ref.document,
                                        "page": source_ref.page,
                                        "confidence": source_ref.confidence,
                                    }
                                )

                    # Check for temporal conflicts
                    if len(values) > 1:
                        # Normalize values for comparison
                        normalized_values = []
                        for v in values:
                            try:
                                # Try to convert to comparable format
                                if isinstance(v, str):
                                    # Try to extract year from string
                                    import re

                                    year_match = re.search(r"\b(19|20)\d{2}\b", v)
                                    if year_match:
                                        normalized_values.append(int(year_match.group()))
                                    else:
                                        normalized_values.append(v)
                                else:
                                    normalized_values.append(v)
                            except (ValueError, TypeError):
                                normalized_values.append(v)

                        unique_values = list(
                            set(str(v) for v in normalized_values if v is not None)
                        )

                        if len(unique_values) > 1:
                            conflict = Conflict(
                                conflict_id=f"{entity_id}_{prop_name}_temporal_conflict",
                                conflict_type=ConflictType.TEMPORAL_CONFLICT,
                                entity_id=entity_id,
                                property_name=prop_name,
                                conflicting_values=values,
                                sources=sources,
                                confidence=self._calculate_conflict_confidence(
                                    values, sources
                                ),
                                severity=self._calculate_severity(prop_name, values),
                                recommended_action="Check temporal context and determine correct time period",
                            )
                            conflicts.append(conflict)
                            self.detected_conflicts[conflict.conflict_id] = conflict

                            self.logger.warning(
                                f"Temporal conflict detected: {entity_id}.{prop_name} "
                                f"has conflicting values: {unique_values}"
                            )

            self.progress_tracker.stop_tracking(
                tracking_id,
                status="completed",
                message=f"Detected {len(conflicts)} temporal conflicts",
            )
            return conflicts

        except Exception as e:
            self.progress_tracker.stop_tracking(
                tracking_id, status="failed", message=str(e)
            )
            raise

    def detect_logical_conflicts(
        self, entities: List[Dict[str, Any]]
    ) -> List[Conflict]:
        """
        Detect logical conflicts (e.g., Person cannot be Organization).

        Args:
            entities: List of entity dictionaries

        Returns:
            List of detected conflicts
        """
        tracking_id = self.progress_tracker.start_tracking(
            file=None,
            module="conflicts",
            submodule="ConflictDetector",
            message="Detecting logical conflicts",
        )

        try:
            conflicts = []

            # Logical rules: incompatible type combinations
            incompatible_types = {
                "Person": ["Organization", "Company", "Institution"],
                "Organization": ["Person"],
                "Company": ["Person"],
                "Location": ["Person", "Organization"],
            }

            # Group entities by ID
            entity_groups: Dict[str, List[Dict[str, Any]]] = {}

            for entity in entities:
                entity_id = entity.get("id") or entity.get("entity_id")
                if not entity_id:
                    continue

                if entity_id not in entity_groups:
                    entity_groups[entity_id] = []
                entity_groups[entity_id].append(entity)

            # Check each entity group for logical conflicts
            for entity_id, entity_list in entity_groups.items():
                if len(entity_list) < 2:
                    continue

                types = []
                sources = []

                for entity in entity_list:
                    entity_type = entity.get("type") or entity.get("entity_type")
                    if entity_type:
                        types.append(entity_type)

                        if self.track_provenance:
                            source_ref = SourceReference(
                                document=entity.get("source", "unknown"),
                                page=entity.get("page"),
                                section=entity.get("section"),
                                confidence=entity.get("confidence", 1.0),
                                metadata=entity.get("metadata", {}),
                            )
                            sources.append(
                                {
                                    "document": source_ref.document,
                                    "page": source_ref.page,
                                    "confidence": source_ref.confidence,
                                }
                            )

                # Check for logical conflicts
                if len(types) > 1:
                    for i, type1 in enumerate(types):
                        for type2 in types[i + 1 :]:
                            type1_str = str(type1)
                            type2_str = str(type2)

                            # Check if types are incompatible
                            if type1_str in incompatible_types:
                                if type2_str in incompatible_types[type1_str]:
                                    conflict = Conflict(
                                        conflict_id=f"{entity_id}_logical_conflict",
                                        conflict_type=ConflictType.LOGICAL_CONFLICT,
                                        entity_id=entity_id,
                                        property_name="type",
                                        conflicting_values=[type1, type2],
                                        sources=sources,
                                        confidence=1.0,  # High confidence for logical conflicts
                                        severity="critical",
                                        recommended_action=f"Entity cannot be both {type1_str} and {type2_str}. Review classification.",
                                    )
                                    conflicts.append(conflict)
                                    self.detected_conflicts[
                                        conflict.conflict_id
                                    ] = conflict

                                    self.logger.warning(
                                        f"Logical conflict detected: {entity_id} cannot be both "
                                        f"{type1_str} and {type2_str}"
                                    )
                                    break

            self.progress_tracker.stop_tracking(
                tracking_id,
                status="completed",
                message=f"Detected {len(conflicts)} logical conflicts",
            )
            return conflicts

        except Exception as e:
            self.progress_tracker.stop_tracking(
                tracking_id, status="failed", message=str(e)
            )
            raise

    def detect_conflicts(
        self, entities: List[Dict[str, Any]], entity_type: Optional[str] = None
    ) -> List[Conflict]:
        """
        Detect all conflicts for entities (general method).

        This method detects all types of conflicts: value, type, relationship,
        temporal, and logical conflicts.

        Args:
            entities: List of entity dictionaries
            entity_type: Optional entity type filter

        Returns:
            List of all detected conflicts
        """
        tracking_id = self.progress_tracker.start_tracking(
            file=None,
            module="conflicts",
            submodule="ConflictDetector",
            message="Detecting all conflicts",
        )

        try:
            all_conflicts = []

            # Filter by entity type if specified
            filtered_entities = entities
            if entity_type:
                filtered_entities = [
                    e
                    for e in entities
                    if (e.get("type") or e.get("entity_type")) == entity_type
                ]

            # Detect value conflicts (for common properties)
            if self.conflict_fields:
                for entity_type_key, fields in self.conflict_fields.items():
                    if not entity_type or entity_type_key == entity_type:
                        for field in fields:
                            conflicts = self.detect_value_conflicts(
                                filtered_entities, field, entity_type
                            )
                            all_conflicts.extend(conflicts)
            else:
                # Detect entity-wide conflicts
                conflicts = self.detect_entity_conflicts(filtered_entities, entity_type)
                all_conflicts.extend(conflicts)

            # Detect type conflicts
            type_conflicts = self.detect_type_conflicts(filtered_entities)
            all_conflicts.extend(type_conflicts)

            # Detect temporal conflicts
            temporal_conflicts = self.detect_temporal_conflicts(filtered_entities)
            all_conflicts.extend(temporal_conflicts)

            # Detect logical conflicts
            logical_conflicts = self.detect_logical_conflicts(filtered_entities)
            all_conflicts.extend(logical_conflicts)

            self.progress_tracker.stop_tracking(
                tracking_id,
                status="completed",
                message=f"Detected {len(all_conflicts)} total conflicts",
            )
            return all_conflicts

        except Exception as e:
            self.progress_tracker.stop_tracking(
                tracking_id, status="failed", message=str(e)
            )
            raise

    def resolve_conflicts(self, conflicts: List[Conflict]) -> Dict[str, int]:
        """
        Attempt to resolve conflicts based on configuration.

        Args:
            conflicts: List of conflicts to resolve

        Returns:
            Dictionary with resolution statistics
        """
        tracking_id = self.progress_tracker.start_tracking(
            module="conflicts",
            submodule="ConflictDetector",
            message=f"Resolving {len(conflicts)} conflicts",
        )

        resolved_count = 0
        unresolved_count = 0

        for conflict in conflicts:
            if self.auto_resolve:
                # Simple resolution logic: pick value with highest confidence
                # This is a placeholder for more complex logic
                if conflict.conflicting_values:
                    # Mark as resolved (in a real system we would update the entity)
                    resolved_count += 1
                else:
                    unresolved_count += 1
            else:
                unresolved_count += 1

        self.progress_tracker.stop_tracking(
            tracking_id,
            status="completed",
            message=f"Resolved {resolved_count} conflicts",
        )

        return {
            "resolved_count": resolved_count,
            "unresolved_count": unresolved_count,
            "total_conflicts": len(conflicts)
        }

    def clear_conflicts(self) -> None:
        """Clear all detected conflicts."""
        self.detected_conflicts.clear()
        self.logger.info("Cleared all detected conflicts")
