SDS-028: MECE Quadrant Integration Service

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class IntegrationService:
    def __init__(
        self,
        substrate: ThermodynamicSubstrate,
        nexus: AxiologicalConstitution,
        compiler: IsomorphicCompiler,
        kernel: EvolutionaryKernel
    ):
        self.substrate = substrate
        self.nexus = nexus
        self.compiler = compiler
        self.kernel = kernel

    async def execute(self, intention: Intention) -> ExecutionResult:
        """
        Full MECE Quadrant execution pipeline.
        """
        # 1. BODY: Check thermodynamic feasibility
        estimated_cost = self.compiler.estimate_cost(intention)
        feasibility = await self.substrate.check_feasibility(estimated_cost)

        if not feasibility.is_feasible:
            return ExecutionResult.REJECTED(
                reason="THERMODYNAMIC_CONSTRAINT",
                deficit=feasibility.deficit
            )

        # 2. SOUL: Evaluate axiological value
        evaluation = await self.nexus.evaluate(intention, estimated_cost)

        if evaluation.tier == Tier.NOISE:
            return ExecutionResult.REJECTED(
                reason="BELOW_VALUE_THRESHOLD",
                value_score=evaluation.value_score
            )

        if evaluation.tier == Tier.EXISTENTIAL and not intention.has_human_signature:
            return ExecutionResult.DEFERRED(
                reason="REQUIRES_HUMAN_APPROVAL",
                tier=evaluation.tier
            )

        # 3. MIND: Compile intention to artifact
        try:
            artifact = await self.compiler.compile(
                intention,
                attention_budget=evaluation.attention_budget
            )

            # Consume resources on success
            actual_cost = artifact.provenance.cost
            await self.substrate.consume(actual_cost)

            return ExecutionResult.SUCCESS(artifact=artifact)

        except CompilationError as e:
            # 4. WILL: Report trauma and trigger evolution
            trauma = TraumaSignal(
                source_intention=intention,
                error=str(e),
                magnitude=self._calculate_trauma_magnitude(e)
            )

            mutation_proposal = await self.kernel.process_trauma(trauma)

            return ExecutionResult.FAILED(
                error=str(e),
                mutation_proposal=mutation_proposal
            )

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async def autopoietic_cycle(self):
    """
    The self-maintaining loop that keeps the system evolving.
    """
    while True:
        # Gather telemetry
        substrate_status = await self.substrate.get_status()
        trauma_backlog = await self.kernel.get_pending_traumas()
        stale_specs = await self.compiler.detect_stale_specs()

        # Process pending traumas
        for trauma in trauma_backlog:
            mutation = await self.kernel.generate_mutation(trauma)

            # Evaluate mutation against values
            mutation_value = await self.nexus.evaluate_mutation(mutation)

            if mutation_value.approved:
                if mutation.is_minor:
                    # Auto-apply minor mutations
                    await self.compiler.apply_mutation(mutation)
                else:
                    # Queue major mutations for human review
                    await self.queue_for_review(mutation)

        # Check substrate health
        if substrate_status.health == Health.CRITICAL:
            await self.kernel.trigger_lean_mutations()

        # Sleep before next cycle
        await asyncio.sleep(AUTOPOIETIC_INTERVAL)

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CIRCUIT_BREAKER_CONFIG = {
    "substrate": {
        "failure_threshold": 3,
        "recovery_timeout": 30,
        "fallback": lambda: FeasibilityResult(is_feasible=False, reason="SUBSTRATE_UNAVAILABLE")
    },
    "nexus": {
        "failure_threshold": 5,
        "recovery_timeout": 60,
        "fallback": lambda: ValueEvaluation(tier=Tier.OPERATIONAL)  # Conservative default
    },
    "compiler": {
        "failure_threshold": 3,
        "recovery_timeout": 120,
        "fallback": None  # No fallback; must succeed or fail explicitly
    },
    "kernel": {
        "failure_threshold": 10,
        "recovery_timeout": 300,
        "fallback": lambda: MutationProposal(status="DEFERRED")
    }
}