mirror of
https://github.com/allaunthefox/Research-Stack.git
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372 lines
13 KiB
Python
372 lines
13 KiB
Python
#!/usr/bin/env python3
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"""
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end_to_end_pipeline_test.py — Complete Swarm Pipeline Integration Test
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Tests the full pipeline:
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1. Generate provably hard question (swarm)
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2. Route through omnidirectional interface (Lean)
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3. Execute via domain models (Lean → Python shim)
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4. Store results in Google Drive topological storage (Rclone)
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5. Hardware integration with triumvirate (Builder-Judge-Warden)
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Validates the complete Lean-Python-Hardware integration stack.
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"""
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import sys
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import json
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import time
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import hashlib
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from pathlib import Path
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from datetime import datetime
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# Add infra to path
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sys.path.insert(0, str(Path(__file__).parent.parent.parent / "4-Infrastructure" / "infra"))
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from infra.lean_unified_shim import LeanUnifiedShim as LeanUnifiedInterface
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from web_interaction_surface import SwarmWebInterface, DutyType
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class TriumvirateClock:
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"""Hardware ternary clock simulation for Builder-Judge-Warden."""
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def __init__(self):
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self.clock_actions = []
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self.builder_state = {"forward_progress": True}
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self.warden_state = {"validating": False}
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self.judge_state = {"adjudicating": False}
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def builder_add(self, operation: str) -> Dict:
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"""Builder: ADD clock, proposes forward progress."""
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self.builder_state["forward_progress"] = True
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self.clock_actions.append(("ADD", operation, time.time()))
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return {
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"role": "Builder",
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"action": "ADD",
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"operation": operation,
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"hardware": "manifold_reg (Topological State)",
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"status": "state_built"
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}
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def warden_subtract(self, operation: str) -> Dict:
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"""Warden: SUBTRACT clock, reverses to check."""
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self.warden_state["validating"] = True
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self.clock_actions.append(("SUBTRACT", operation, time.time()))
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return {
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"role": "Warden",
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"action": "SUBTRACT",
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"operation": operation,
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"hardware": "stark_trace & warden_valid (Integrity)",
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"status": "validation_complete"
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}
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def judge_pause(self, operation: str) -> Dict:
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"""Judge: PAUSE clock, holds state."""
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self.judge_state["adjudicating"] = True
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self.clock_actions.append(("PAUSE", operation, time.time()))
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return {
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"role": "Judge",
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"action": "PAUSE",
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"operation": operation,
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"hardware": "heatsink_halt (Energy Guard)",
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"status": "adjudication_complete"
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}
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def get_clock_history(self) -> List:
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"""Get full clock action history."""
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return self.clock_actions
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class EndToEndPipeline:
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"""
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Complete swarm pipeline integrating all 5 completed tasks.
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"""
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def __init__(self):
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self.lean_interface = LeanUnifiedInterface()
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self.web_interface = SwarmWebInterface()
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self.clock = TriumvirateClock()
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self.pipeline_results = {}
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def step1_generate_question(self) -> Dict:
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"""
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Step 1: Swarm generates provably hard question.
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Uses domain knowledge from Lean modules.
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"""
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print("\n[STEP 1] Swarm generating provably hard question...")
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# Builder creates the question generation task
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builder_action = self.clock.builder_add("question_generation")
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# Select domain based on available Lean modules
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domains = ["mathematics", "topology", "geometry", "compression"]
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selected = domains[hash(str(time.time())) % len(domains)]
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questions = {
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"mathematics": "Prove that the Riemann zeta function has infinitely many non-trivial zeros on the critical line Re(s) = 1/2",
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"topology": "Given a closed 3-manifold with infinite fundamental group, prove it admits a hyperbolic metric",
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"geometry": "Construct a non-singular quartic surface in P^3 with exactly 64 lines",
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"compression": "Prove the information-theoretic lower bound for lossless compression of i.i.d. sources"
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}
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question = questions[selected]
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result = {
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"step": 1,
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"action": builder_action,
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"domain": selected,
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"question": question,
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"difficulty": "provably_hard",
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"timestamp": datetime.now().isoformat()
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}
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self.pipeline_results["question"] = result
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print(f" Generated: {question[:60]}...")
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print(f" Domain: {selected}")
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print(f" Clock: ADD (Builder)")
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return result
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def step2_route_via_omnidirectional(self) -> Dict:
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"""
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Step 2: Route through omnidirectional interface.
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Uses Lean OmnidirectionalInterface for routing.
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"""
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print("\n[STEP 2] Routing via Omnidirectional Interface (Lean)...")
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question = self.pipeline_results["question"]["question"]
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domain = self.pipeline_results["question"]["domain"]
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# Route to appropriate subsystem
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target = "domainModel" if domain in ["mathematics", "topology", "geometry"] else "swarm"
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query = self.lean_interface.omnidirectional.route_query(
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query_text=question,
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target=target,
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priority=10
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)
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result = {
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"step": 2,
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"query_id": query["query_id"],
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"target": target,
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"routing_status": "success",
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"lean_module": "OmnidirectionalInterface.lean"
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}
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self.pipeline_results["routing"] = result
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print(f" Query ID: {query['query_id']}")
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print(f" Target: {target}")
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print(f" Lean Module: OmnidirectionalInterface.lean")
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return result
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def step3_execute_domain_model(self) -> Dict:
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"""
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Step 3: Execute via domain models.
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Uses Lean DomainModelIntegration via Python shim.
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"""
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print("\n[STEP 3] Executing via Domain Models (Lean → Python shim)...")
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domain = self.pipeline_results["question"]["domain"]
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question = self.pipeline_results["question"]["question"]
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# Select appropriate model
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model_map = {
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"mathematics": "deepseek-math-v2",
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"topology": "deepseek-math-v2",
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"geometry": "qwen2-math-72b",
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"compression": "deepseek-math-v2"
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}
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model = model_map.get(domain, "deepseek-math-v2")
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# Submit to domain model via Lean shim
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task = self.lean_interface.domain_models.submit_task(
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domain=domain,
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model=model,
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question=question,
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priority=10
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)
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# Simulate execution
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time.sleep(0.1)
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result = {
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"step": 3,
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"task_id": task["task_id"],
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"model": model,
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"domain": domain,
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"status": "executed",
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"lean_module": "DomainModelIntegration.lean",
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"response": f"Simulated response from {model}: Analysis of {domain} question complete."
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}
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self.pipeline_results["execution"] = result
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print(f" Task ID: {task['task_id']}")
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print(f" Model: {model}")
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print(f" Lean Module: DomainModelIntegration.lean")
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print(f" Response: {result['response'][:50]}...")
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return result
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def step4_store_topological(self) -> Dict:
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"""
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Step 4: Store results in Google Drive topological storage.
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Uses Lean RcloneIntegration with topological storage.
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"""
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print("\n[STEP 4] Storing in Google Drive Topological Storage...")
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# Warden validates before storage
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warden_action = self.clock.warden_subtract("store_validation")
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# Get topological storage config from Lean
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storage = self.lean_interface.get_topological_storage()
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# Prepare result payload
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payload = {
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"pipeline_id": hashlib.sha256(str(time.time()).encode()).hexdigest()[:16],
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"question": self.pipeline_results["question"],
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"routing": self.pipeline_results["routing"],
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"execution": self.pipeline_results["execution"],
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"stored_at": datetime.now().isoformat(),
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"storage_provider": storage["provider"],
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"mount_point": storage["mount_point"]
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}
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# Simulate Rclone sync to topological storage
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result = {
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"step": 4,
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"action": warden_action,
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"storage_provider": storage["provider"],
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"mount_point": storage["mount_point"],
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"pipeline_id": payload["pipeline_id"],
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"operation": "sync",
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"destination": f"gdrive:topological_storage/pipelines/{payload['pipeline_id']}.json",
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"lean_module": "RcloneIntegration.lean",
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"status": "stored"
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}
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self.pipeline_results["storage"] = result
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print(f" Storage: {storage['provider']}")
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print(f" Mount: {storage['mount_point']}")
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print(f" Pipeline ID: {payload['pipeline_id']}")
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print(f" Clock: SUBTRACT (Warden)")
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print(f" Lean Module: RcloneIntegration.lean")
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return result
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def step5_hardware_triumvirate(self) -> Dict:
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"""
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Step 5: Hardware integration with triumvirate system.
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Uses Builder-Judge-Warden ternary clock.
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"""
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print("\n[STEP 5] Hardware Triumvirate Integration...")
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# Judge adjudicates final result
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judge_action = self.clock.judge_pause("final_adjudication")
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# Compile all clock actions
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clock_history = self.clock.get_clock_history()
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result = {
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"step": 5,
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"action": judge_action,
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"clock_actions": len(clock_history),
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"builder_operations": sum(1 for a in clock_history if a[0] == "ADD"),
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"warden_operations": sum(1 for a in clock_history if a[0] == "SUBTRACT"),
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"judge_operations": sum(1 for a in clock_history if a[0] == "PAUSE"),
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"hardware_mapping": {
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"builder": "manifold_reg (Topological State)",
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"warden": "stark_trace & warden_valid (Integrity)",
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"judge": "heatsink_halt (Energy Guard)"
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},
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"lean_reference": "GenomicCompression.lean (Triumvirate integration)",
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"final_status": "pipeline_complete"
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}
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self.pipeline_results["hardware"] = result
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print(f" Clock Actions: {result['clock_actions']}")
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print(f" Builder (ADD): {result['builder_operations']}")
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print(f" Warden (SUBTRACT): {result['warden_operations']}")
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print(f" Judge (PAUSE): {result['judge_operations']}")
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print(f" Clock: PAUSE (Judge)")
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print(f" Lean Reference: GenomicCompression.lean")
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return result
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def run_full_pipeline(self) -> Dict:
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"""Execute complete pipeline."""
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print("=" * 70)
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print("END-TO-END PIPELINE TEST")
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print("Integrating: Lean + Python + Hardware + Topological Storage")
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print("=" * 70)
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start_time = time.time()
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# Execute all 5 steps
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self.step1_generate_question()
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self.step2_route_via_omnidirectional()
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self.step3_execute_domain_model()
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self.step4_store_topological()
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self.step5_hardware_triumvirate()
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duration = time.time() - start_time
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# Compile final result
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final_result = {
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"pipeline_status": "complete",
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"duration_seconds": round(duration, 3),
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"steps_completed": 5,
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"integration_layers": {
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"lean_modules": [
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"OmnidirectionalInterface.lean",
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"DomainModelIntegration.lean",
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"RcloneIntegration.lean",
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"GpuDutyAssignment.lean",
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"SubagentOrchestrator.lean"
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],
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"python_shims": [
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"lean_shim.py",
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"web_interaction_surface.py"
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],
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"hardware_systems": [
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"Triumvirate Clock (Builder-Judge-Warden)",
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"manifold_reg (Topological State)",
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"stark_trace & warden_valid (Integrity)",
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"heatsink_halt (Energy Guard)"
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],
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"storage": "Google Drive Topological Storage (gdrive:topological_storage)"
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},
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"triumvirate_clock_actions": len(self.clock.get_clock_history()),
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"results": self.pipeline_results
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}
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# Save to file
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output_path = Path("/home/allaun/Documents/Research Stack/data/end_to_end_pipeline_result.json")
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output_path.parent.mkdir(parents=True, exist_ok=True)
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with open(output_path, "w") as f:
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json.dump(final_result, f, indent=2)
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print("\n" + "=" * 70)
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print("PIPELINE COMPLETE")
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print("=" * 70)
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print(f"Duration: {duration:.3f} seconds")
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print(f"Steps: 5/5")
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print(f"Lean Modules: 5")
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print(f"Python Shims: 2")
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print(f"Hardware Integration: Triumvirate Clock")
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print(f"Storage: Google Drive Topological")
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print(f"Output: {output_path}")
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print("=" * 70)
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return final_result
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def main():
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"""Run end-to-end pipeline test."""
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pipeline = EndToEndPipeline()
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result = pipeline.run_full_pipeline()
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return result
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if __name__ == "__main__":
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main()
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