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queue/350-
...
whip/251-1
| Author | SHA1 | Date | |
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| 693450e883 | |||
| b3ab2450dc |
@@ -234,12 +234,7 @@ class HolographicMemoryProvider(MemoryProvider):
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return self._handle_fact_feedback(args)
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return json.dumps({"error": f"Unknown tool: {tool_name}"})
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def on_session_end(self, messages: List[Dict[str, Any]]) -> None:
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if not self._config.get("auto_extract", False):
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return
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if not self._store or not messages:
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return
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self._auto_extract_facts(messages)
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def on_memory_write(self, action: str, target: str, content: str) -> None:
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"""Mirror built-in memory writes as facts.
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@@ -266,6 +261,44 @@ class HolographicMemoryProvider(MemoryProvider):
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except Exception as e:
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logger.debug("Holographic memory_write mirror failed: %s", e)
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def on_session_end(self, messages: List[Dict[str, Any]]) -> None:
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"""Run auto-extraction and periodic contradiction detection."""
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if self._config.get("auto_extract", False):
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self._auto_extract_facts(messages)
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# Periodic contradiction detection (run every ~50 sessions or on first session)
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self._maybe_run_contradiction_scan()
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def _maybe_run_contradiction_scan(self) -> None:
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"""Run contradiction detection if enough sessions have passed since last run."""
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if not self._store or not self._retriever:
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return
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try:
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# Use a counter file to track sessions since last scan
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from hermes_constants import get_hermes_home
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counter_path = get_hermes_home() / ".contradiction_scan_counter"
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count = 0
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if counter_path.exists():
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try:
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count = int(counter_path.read_text().strip())
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except (ValueError, OSError):
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count = 0
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count += 1
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counter_path.write_text(str(count))
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# Run every 50 sessions
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if count >= 50:
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counter_path.write_text("0")
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from .resolver import ContradictionResolver
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resolver = ContradictionResolver(self._store, self._retriever)
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report = resolver.run_detection_and_resolution(limit=50, auto_resolve=True)
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if report.contradictions_found > 0:
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logger.info("Periodic contradiction scan: %s", report.summary())
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except Exception as e:
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logger.debug("Periodic contradiction scan failed: %s", e)
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def shutdown(self) -> None:
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self._store = None
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self._retriever = None
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179
plugins/memory/holographic/resolver.py
Normal file
179
plugins/memory/holographic/resolver.py
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@@ -0,0 +1,179 @@
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"""Contradiction detection and resolution for holographic memory.
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Periodically scans the fact store for contradictions using the retriever's
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contradict() method, then resolves obvious cases and flags ambiguous ones.
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Resolution strategy:
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- Obvious: same entity, newer fact supersedes older → lower trust on older
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- Ambiguous: different claims about same entity → flag for review, don't auto-resolve
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- High-confidence contradiction (>0.7 score): lower trust on both, log warning
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Usage:
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from plugins.memory.holographic.resolver import ContradictionResolver
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resolver = ContradictionResolver(store, retriever)
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report = resolver.run_detection_and_resolution()
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"""
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from __future__ import annotations
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import logging
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from datetime import datetime
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from typing import Any, Dict, List, Optional
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logger = logging.getLogger(__name__)
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# Thresholds
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_OBVIOUS_THRESHOLD = 0.5 # contradiction_score >= this → obvious
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_AMBIGUOUS_THRESHOLD = 0.3 # contradiction_score >= this → flag
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_HIGH_CONFIDENCE = 0.7 # contradiction_score >= this → high confidence
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_TRUST_PENALTY_OLD = 0.3 # trust reduction for superseded fact
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_TRUST_PENALTY_CONFLICT = 0.15 # trust reduction for ambiguous conflicts
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class ContradictionReport:
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"""Results of a contradiction detection and resolution run."""
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def __init__(self):
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self.total_scanned: int = 0
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self.contradictions_found: int = 0
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self.auto_resolved: int = 0
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self.flagged_for_review: int = 0
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self.high_confidence: int = 0
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self.resolved_pairs: List[Dict[str, Any]] = []
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self.flagged_pairs: List[Dict[str, Any]] = []
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def summary(self) -> str:
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lines = [
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f"Contradiction scan: {self.total_scanned} facts, "
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f"{self.contradictions_found} contradictions found",
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f" Auto-resolved: {self.auto_resolved} (newer supersedes older)",
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f" High-confidence: {self.high_confidence} (trust lowered on both)",
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f" Flagged for review: {self.flagged_for_review}",
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]
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for pair in self.flagged_pairs[:5]:
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lines.append(
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f" [REVIEW] score={pair['contradiction_score']:.2f} "
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f"entities={pair['shared_entities']} "
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f"A: {pair['fact_a']['content'][:50]}… "
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f"B: {pair['fact_b']['content'][:50]}…"
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)
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return "\n".join(lines)
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def to_dict(self) -> dict:
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return {
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"total_scanned": self.total_scanned,
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"contradictions_found": self.contradictions_found,
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"auto_resolved": self.auto_resolved,
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"high_confidence": self.high_confidence,
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"flagged_for_review": self.flagged_for_review,
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"resolved_pairs": self.resolved_pairs,
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"flagged_pairs": self.flagged_pairs,
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}
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class ContradictionResolver:
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"""Detects and resolves contradictions in the holographic fact store."""
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def __init__(self, store, retriever):
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self._store = store
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self._retriever = retriever
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def run_detection_and_resolution(
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self,
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limit: int = 50,
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auto_resolve: bool = True,
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) -> ContradictionReport:
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"""Run a full contradiction detection and resolution pass.
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Args:
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limit: Max contradiction pairs to process.
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auto_resolve: If True, auto-resolve obvious cases.
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Returns:
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ContradictionReport with all findings and actions taken.
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"""
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report = ContradictionReport()
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try:
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contradictions = self._retriever.contradict(limit=limit)
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except Exception as e:
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logger.warning("Contradiction detection failed: %s", e)
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return report
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report.total_scanned = len(contradictions)
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report.contradictions_found = len(contradictions)
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for pair in contradictions:
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score = pair.get("contradiction_score", 0.0)
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if score >= _HIGH_CONFIDENCE:
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report.high_confidence += 1
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if auto_resolve:
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self._resolve_high_confidence(pair, report)
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elif score >= _OBVIOUS_THRESHOLD:
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if auto_resolve:
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self._resolve_obvious(pair, report)
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elif score >= _AMBIGUOUS_THRESHOLD:
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report.flagged_for_review += 1
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report.flagged_pairs.append(pair)
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# Lower trust slightly on both to reduce retrieval weight
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self._penalize_both(pair, _TRUST_PENALTY_CONFLICT)
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return report
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def _resolve_obvious(self, pair: dict, report: ContradictionReport) -> None:
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"""Resolve obvious contradiction: newer fact supersedes older.
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Same entity, clearly contradictory claims. Newer wins.
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"""
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fact_a = pair["fact_a"]
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fact_b = pair["fact_b"]
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# Determine which is newer
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a_time = fact_a.get("updated_at") or fact_a.get("created_at", "")
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b_time = fact_b.get("updated_at") or fact_b.get("created_at", "")
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if a_time >= b_time:
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newer, older = fact_a, fact_b
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else:
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newer, older = fact_b, fact_a
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# Lower trust on the older (superseded) fact
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try:
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self._store.update_fact(
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older["fact_id"],
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trust_delta=-_TRUST_PENALTY_OLD,
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)
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report.auto_resolved += 1
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report.resolved_pairs.append({
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"action": "superseded",
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"kept": newer["fact_id"],
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"demoted": older["fact_id"],
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"reason": f"Newer fact supersedes older (score={pair['contradiction_score']:.2f})",
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})
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logger.info(
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"Contradiction resolved: fact#%d supersedes fact#%d (entities: %s)",
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newer["fact_id"], older["fact_id"],
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pair.get("shared_entities", []),
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)
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except Exception as e:
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logger.debug("Failed to resolve contradiction: %s", e)
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def _resolve_high_confidence(self, pair: dict, report: ContradictionReport) -> None:
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"""Resolve high-confidence contradiction: lower trust on both facts.
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We can't determine which is correct, so both get penalized.
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"""
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self._penalize_both(pair, _TRUST_PENALTY_CONFLICT * 2)
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report.flagged_pairs.append(pair)
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def _penalize_both(self, pair: dict, penalty: float) -> None:
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"""Lower trust on both contradictory facts."""
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for key in ("fact_a", "fact_b"):
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fact = pair.get(key, {})
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fid = fact.get("fact_id")
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if fid:
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try:
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self._store.update_fact(fid, trust_delta=-penalty)
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except Exception as e:
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logger.debug("Failed to penalize fact#%d: %s", fid, e)
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