tegwick
11585e6968
Five concern checks: Redundancy (embedding/word overlap), Coverage (FCA gap analysis), Coherence (graph connectivity), Consistency (cycle detection), Granularity (Shannon entropy). Orchestrator runs all or selected checks, CLI `markitect infospace check` command added. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
59 lines
1.4 KiB
Python
59 lines
1.4 KiB
Python
"""
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C4 — Definitional consistency.
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Checks for cycles in the dependency graph and definitional conflicts
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between entities.
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"""
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from __future__ import annotations
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from dataclasses import dataclass, field
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from typing import Dict, List, Optional
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from markitect.infospace.models import EntityMeta
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from markitect.prompts.dependencies.models import DependencyGraph
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@dataclass
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class ConsistencyReport:
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"""Results from consistency analysis."""
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cycles: List[List[str]] = field(default_factory=list)
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cycle_count: int = 0
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entity_count: int = 0
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def to_dict(self) -> dict:
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return {
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"concern": "C4",
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"cycle_count": self.cycle_count,
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"cycles": self.cycles,
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"entity_count": self.entity_count,
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}
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def check_consistency(
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entities: List[EntityMeta],
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graph: Optional[DependencyGraph] = None,
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) -> ConsistencyReport:
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"""Check definitional consistency.
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Args:
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entities: Entity metadata list.
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graph: Optional dependency graph for cycle detection.
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Returns:
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:class:`ConsistencyReport` with cycles found.
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"""
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n = len(entities)
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cycles: List[List[str]] = []
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if graph is not None and len(graph.nodes) > 0:
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raw_cycles = graph.detect_cycles()
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cycles = raw_cycles
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return ConsistencyReport(
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cycles=cycles,
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cycle_count=len(cycles),
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entity_count=n,
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)
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