import asyncio import re import hashlib from datetime import datetime # Mock memory store for demonstration class MockMemoryStore: def __init__(self): self.audit_log = [] self.worker_trust = {} self.data_quality_scores = {} def log_audit(self, component, identifier, report): self.audit_log.append({"component": component, "identifier": identifier, "report": report}) def update_worker_trust(self, worker_id, passed): if worker_id not in self.worker_trust: self.worker_trust[worker_id] = {"successes": 0, "failures": 0} if passed: self.worker_trust[worker_id]["successes"] += 1 else: self.worker_trust[worker_id]["failures"] += 1 def get_data_quality_score(self, data_id): return self.data_quality_scores.get(data_id, 0.8) # Default quality score def set_data_quality_score(self, data_id, score): self.data_quality_scores[data_id] = score memory = MockMemoryStore() # --- Gate Implementations --- class GateAlpha: """Gate Alpha: Input Validity - Verify source data quality""" def __init__(self, memory): self.memory = memory async def validate(self, data, data_id): """Validates the input data based on predefined quality metrics.""" quality_score = self.memory.get_data_quality_score(data_id) passed = quality_score > 0.7 # Threshold for acceptable data quality reason = f"Data quality score for {data_id} is {quality_score}. Threshold: 0.7." report = { "gate": "alpha", "passed": passed, "reason": reason, "data_id": data_id, "quality_score": quality_score } self.memory.log_audit("gate_alpha", data_id, report) return passed, report class GateBeta: """Gate Beta: Output Quality - Check accuracy and completeness""" def __init__(self, memory): self.memory = memory async def validate(self, output, expected_format): """Validates the output against expected format and completeness.""" passed = self._is_valid_format(output, expected_format) and self._is_complete(output) reason = "Output format and completeness check." if passed else "Output format or completeness check failed." report = { "gate": "beta", "passed": passed, "reason": reason, "output": output, "expected_format": expected_format } self.memory.log_audit("gate_beta", "output_validation", report) return passed, report def _is_valid_format(self, output, expected_format): """Placeholder: Check if the output matches the expected format (e.g., JSON schema).""" # In a real implementation, this would involve schema validation. return isinstance(output, dict) if expected_format == "json" else True def _is_complete(self, output): """Placeholder: Check if the output contains all the required fields/information.""" # In a real implementation, this would involve checking for required fields. return bool(output) # Simple check if output is empty class GateGamma: """Gate Gamma: Insight Purity - Detect hallucinations""" def __init__(self, memory): self.memory = memory async def validate(self, insight, source_data): """Detects hallucinations by comparing the insight to the source data.""" passed = self._is_consistent(insight, source_data) reason = "Insight is consistent with source data." if passed else "Hallucination detected: Insight contradicts source data." report = { "gate": "gamma", "passed": passed, "reason": reason, "insight": insight, "source_data": source_data } self.memory.log_audit("gate_gamma", "hallucination_detection", report) return passed, report def _is_consistent(self, insight, source_data): """Placeholder: Check if the insight is consistent with the source data.""" # In a real implementation, this would involve natural language inference or fact verification. return "example" not in insight.lower() # simple check to avoid hallucinated answers class GateDelta: """Gate Delta: Memory Integration - Validate storage operations""" def __init__(self, memory): self.memory = memory async def validate(self, data_id, operation_type, data): """Validates that storage operations are successful and data integrity is maintained.""" passed = self._simulate_storage(data_id, operation_type, data) reason = f"Storage operation {operation_type} successful for data_id {data_id}." if passed else f"Storage operation {operation_type} failed for data_id {data_id}." report = { "gate": "delta", "passed": passed, "reason": reason, "data_id": data_id, "operation_type": operation_type, "data": data } self.memory.log_audit("gate_delta", "memory_integration", report) return passed, report def _simulate_storage(self, data_id, operation_type, data): """Placeholder: Simulate a storage operation and check for errors.""" # In a real implementation, this would involve interacting with a database or other storage system. return True class GateEpsilon: """Gate Epsilon: Strategy Alignment - Ensure revenue pathway fit""" def __init__(self, memory): self.memory = memory async def validate(self, proposed_action, business_goals): """Ensures that the proposed action aligns with the overall business goals and revenue pathway.""" passed = self._aligns_with_strategy(proposed_action, business_goals) reason = "Proposed action aligns with business goals." if passed else "Proposed action does not align with business goals." report = { "gate": "epsilon", "passed": passed, "reason": reason, "proposed_action": proposed_action, "business_goals": business_goals } self.memory.log_audit("gate_epsilon", "strategy_alignment", report) return passed, report def _aligns_with_strategy(self, proposed_action, business_goals): """Placeholder: Check if the proposed action aligns with the business goals.""" # In a real implementation, this would involve analyzing the action's impact on key performance indicators. return "increase revenue" in proposed_action.lower() # simple example class GateZeta: """Gate Zeta: Budget Compliance - Resource monitoring""" def __init__(self, memory): self.memory = memory async def validate(self, resource_usage, budget_limit): """Monitors resource usage and ensures it stays within the allocated budget.""" passed = resource_usage <= budget_limit reason = "Resource usage within budget limits." if passed else "Resource usage exceeds budget limits." report = { "gate": "zeta", "passed": passed, "reason": reason, "resource_usage": resource_usage, "budget_limit": budget_limit } self.memory.log_audit("gate_zeta", "budget_compliance", report) return passed, report # --- Orchestrator --- class SixGateValidator: def __init__(self, memory): self.memory = memory self.gate_alpha = GateAlpha(memory) self.gate_beta = GateBeta(memory) self.gate_gamma = GateGamma(memory) self.gate_delta = GateDelta(memory) self.gate_epsilon = GateEpsilon(memory) self.gate_zeta = GateZeta(memory) async def validate(self, data, data_id, output, expected_format, insight, source_data, proposed_action, business_goals, resource_usage, budget_limit): """Orchestrates the six-gate validation process.""" alpha_passed, alpha_report = await self.gate_alpha.validate(data, data_id) if not alpha_passed: return False, "Gate Alpha failed", alpha_report beta_passed, beta_report = await self.gate_beta.validate(output, expected_format) if not beta_passed: return False, "Gate Beta failed", beta_report gamma_passed, gamma_report = await self.gate_gamma.validate(insight, source_data) if not gamma_passed: return False, "Gate Gamma failed", gamma_report delta_passed, delta_report = await self.gate_delta.validate(data_id, "store", data) if not delta_passed: return False, "Gate Delta failed", delta_report epsilon_passed, epsilon_report = await self.gate_epsilon.validate(proposed_action, business_goals) if not epsilon_passed: return False, "Gate Epsilon failed", epsilon_report zeta_passed, zeta_report = await self.gate_zeta.validate(resource_usage, budget_limit) if not zeta_passed: return False, "Gate Zeta failed", zeta_report return True, "All gates passed", { "alpha": alpha_report, "beta": beta_report, "gamma": gamma_report, "delta": delta_report, "epsilon": epsilon_report, "zeta": zeta_report } # --- Example Usage --- async def main(): validator = SixGateValidator(memory) data = {"input": "some data"} data_id = "data123" output = {"result": "some result"} expected_format = "json" insight = "The data shows a positive trend." source_data = "The sales data indicates a positive trend." proposed_action = "Increase revenue by expanding the product line." business_goals = "Increase revenue and market share." resource_usage = 500 budget_limit = 1000 passed, message, reports = await validator.validate(data, data_id, output, expected_format, insight, source_data, proposed_action, business_goals, resource_usage, budget_limit) print(f"Validation Result: {passed}, Message: {message}") print(f"Audit Log: {memory.audit_log}") if __name__ == "__main__": asyncio.run(main())