Fresh history cut from cynarAI/evoo antigravity-handoff/project-timeline (Voice First + project timeline). Brand docs/titles as evOo; keep @rakazo/* packages as tech debt. Excludes node_modules, caches, secrets, voice blobs.
366 lines
15 KiB
Python
366 lines
15 KiB
Python
#!/usr/bin/env python3
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"""
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evOo Agent Orchestrator & Dispatcher
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Executive Lead: CTO Steve Jobs
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"Realität im Dateisystem vor Halluzination im Kopf."
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Manages dynamic execution of the 4 Casted Agents:
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- Code Architect
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- Security & QA Auditor
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- DevOps Engineer
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- Apex Quant Specialist
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"""
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import os
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import sys
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import json
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import time
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import argparse
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import subprocess
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import urllib.request
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import urllib.error
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from pathlib import Path
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from typing import Dict, Any, List, Optional
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ROOT_DIR = Path(__file__).resolve().parent.parent
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CONFIG_PATH = Path(__file__).resolve().parent / "agents.json"
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class AgentOrchestrator:
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def __init__(self, config_path: Path = CONFIG_PATH):
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if config_path.exists():
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with open(config_path, "r", encoding="utf-8") as f:
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self.config = json.load(f)
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else:
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self.config = {"agents": {}}
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def list_agents(self) -> Dict[str, Any]:
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"""Returns catalog of casted agents and their capabilities."""
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return self.config.get("agents", {})
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def probe_compute_cluster(self) -> Dict[str, Any]:
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"""Probes local and LAN compute nodes (LM Studio, Ollama, remote Macs)."""
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cluster_info = {
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"strategy": "hybrid_local_and_lan",
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"nodes": {
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"local_lmstudio": {"status": "OFFLINE", "models": []},
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"local_ollama": {"status": "OFFLINE", "models": []},
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"mac_mini": {"status": "CONFIGURED_STANDBY", "endpoint": "http://mac-mini.local:1234/v1"},
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"macbook_air": {"status": "CONFIGURED_STANDBY", "endpoint": "http://macbook-air.local:1234/v1"}
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}
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}
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try:
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req = urllib.request.urlopen("http://127.0.0.1:1234/v1/models", timeout=0.6)
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if req.getcode() == 200:
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data = json.loads(req.read().decode('utf-8'))
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models = [m.get("id") or m.get("name") for m in data.get("data", [])]
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cluster_info["nodes"]["local_lmstudio"] = {
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"status": "ONLINE (Apple Silicon Metal)",
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"models": models[:2]
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}
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except Exception:
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pass
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try:
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req = urllib.request.urlopen("http://127.0.0.1:11434/api/tags", timeout=0.6)
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if req.getcode() == 200:
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data = json.loads(req.read().decode('utf-8'))
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models = [m.get("name") for m in data.get("models", [])]
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cluster_info["nodes"]["local_ollama"] = {
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"status": "ONLINE",
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"models": models[:2]
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}
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except Exception:
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pass
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return cluster_info
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def resolve_compute_routing(self, preferred_node: str) -> Dict[str, Any]:
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"""Resolves target compute node with smart automatic failover."""
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cluster_info = self.probe_compute_cluster()
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nodes = cluster_info.get("nodes", {})
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# 1. Check preferred remote node
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if preferred_node in nodes and "ONLINE" in nodes[preferred_node].get("status", ""):
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return {
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"node": preferred_node,
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"status": "ONLINE",
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"route": "DIRECT_LAN_NODE",
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"model": nodes[preferred_node].get("models", ["default"])[0] if nodes[preferred_node].get("models") else "lan_default"
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}
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# 2. Failover to local LM Studio
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if "ONLINE" in nodes.get("local_lmstudio", {}).get("status", ""):
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models = nodes["local_lmstudio"].get("models", [])
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return {
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"node": "primary_local (LM Studio)",
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"status": "ACTIVE_FAILOVER",
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"route": "LOCAL_METAL_ACCELERATED",
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"model": models[0] if models else "qwen3-coder-30b-a3b",
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"note": f"Preferred node '{preferred_node}' im Standby. Nahtlos auf Host Metal-GPU geroutet."
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}
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# 3. Failover to local Ollama
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if "ONLINE" in nodes.get("local_ollama", {}).get("status", ""):
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models = nodes["local_ollama"].get("models", [])
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return {
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"node": "primary_local (Ollama)",
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"status": "ACTIVE_FAILOVER",
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"route": "LOCAL_OLLAMA_FALLBACK",
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"model": models[0] if models else "gemma4:latest",
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"note": "Auf lokalen Ollama-Knoten umgeleitet."
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}
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# 4. Deterministic safety net
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return {
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"node": "deterministic_guard",
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"status": "DETERMINISTIC_ACTIVE",
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"route": "ZERO_PHANTOM_SAFETY_NET",
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"model": "internal_rules_engine",
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"note": "Deterministischer Sicherheitsmodus aktiv."
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}
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def dispatch(self, agent_id: str, task: Optional[str] = None) -> Dict[str, Any]:
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"""Dispatches an action to a specified agent and returns physical results."""
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agents = self.list_agents()
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if agent_id not in agents:
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return {
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"success": False,
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"agent": agent_id,
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"error": f"Unknown agent '{agent_id}'. Available: {list(agents.keys())}"
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}
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agent_meta = agents[agent_id]
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assigned_task = task or agent_meta.get("tasks", ["default"])[0]
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routing = self.resolve_compute_routing(agent_meta.get("preferred_node", "primary_local"))
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start_time = time.time()
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# Route to deterministic execution handlers
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if agent_id == "architect":
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result = self._run_architect(assigned_task)
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elif agent_id == "qa":
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result = self._run_qa(assigned_task)
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elif agent_id == "devops":
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result = self._run_devops(assigned_task)
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elif agent_id == "quant":
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result = self._run_quant(assigned_task)
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elif agent_id == "ux":
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result = self._run_ux(assigned_task)
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else:
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result = {"status": "NOOP", "message": "No handler defined"}
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duration = round(time.time() - start_time, 4)
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return {
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"success": result.get("success", True),
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"agent_id": agent_id,
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"agent_name": agent_meta.get("name"),
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"task": assigned_task,
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"compute_routing": routing,
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"duration_seconds": duration,
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"result": result,
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"timestamp": time.strftime("%Y-%m-%d %H:%M:%S UTC", time.gmtime())
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}
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def _run_architect(self, task: str) -> Dict[str, Any]:
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"""Architect evaluates modular structure and filesystem boundaries."""
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modules = {
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"platform": (ROOT_DIR / "evoo-platform").is_dir(),
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"apex_trading": (ROOT_DIR / "apex-trading").is_dir(),
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"orchestrator": (ROOT_DIR / "orchestrator").is_dir(),
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"templates": (ROOT_DIR / "templates").is_dir(),
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"architecture_doc": (ROOT_DIR / "ARCHITECTURE.md").is_file()
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}
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all_ok = all(modules.values())
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return {
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"success": all_ok,
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"modular_boundaries": modules,
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"clean_architecture": "VERIFIED" if all_ok else "INCOMPLETE",
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"findings": "All core pillars are orthogonally separated on disk." if all_ok else "Missing core directories."
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}
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def _run_qa(self, task: str) -> Dict[str, Any]:
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"""QA Auditor runs physical integrity check and regression suite."""
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script = ROOT_DIR / "scripts" / "self_improve.py"
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if not script.exists():
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return {"success": False, "error": "scripts/self_improve.py not found"}
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res = subprocess.run([sys.executable, str(script)], capture_output=True, text=True, cwd=str(ROOT_DIR))
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return {
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"success": res.returncode == 0,
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"exit_code": res.returncode,
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"output": res.stdout.strip(),
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"errors": res.stderr.strip() if res.returncode != 0 else None,
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"zero_phantom_check": "PASS" if res.returncode == 0 else "FAIL"
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}
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def _run_devops(self, task: str) -> Dict[str, Any]:
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"""DevOps audits server liveness, port 3088, and PID status."""
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pid_file = ROOT_DIR / ".evoo_server.pid"
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pid = None
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is_running = False
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if pid_file.exists():
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try:
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pid = int(pid_file.read_text().strip())
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# Check if process is alive (signal 0)
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os.kill(pid, 0)
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is_running = True
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except (ValueError, OSError):
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is_running = False
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http_status = None
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latency_ms = None
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try:
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t0 = time.time()
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req = urllib.request.urlopen("http://127.0.0.1:3088/health", timeout=1.5)
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http_status = req.getcode()
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latency_ms = round((time.time() - t0) * 1000, 2)
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except Exception as e:
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http_status = f"DOWN ({e.__class__.__name__})"
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return {
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"success": is_running or (http_status == 200),
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"pid": pid,
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"process_active": is_running,
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"port_3088_status": http_status,
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"http_latency_ms": latency_ms,
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"status": "HEALTHY" if (is_running and http_status == 200) else "DEGRADED"
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}
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def _run_quant(self, task: str) -> Dict[str, Any]:
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"""Apex Quant Specialist runs trading engine tests and risk simulation."""
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test_file = ROOT_DIR / "apex-trading" / "test_trading.py"
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if not test_file.exists():
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return {"success": False, "error": "apex-trading/test_trading.py missing"}
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res = subprocess.run([sys.executable, str(test_file)], capture_output=True, text=True, cwd=str(ROOT_DIR))
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# Test simulated tick through engine
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sim_result = {}
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try:
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sys_path_added = False
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src_path = str(ROOT_DIR / "apex-trading" / "src")
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if src_path not in sys.path:
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sys.path.insert(0, src_path)
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sys_path_added = True
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from engine.trader import ApexEngine
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config_file = str(ROOT_DIR / "apex-trading" / "config" / "trading.config.json")
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engine = ApexEngine(config_file)
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# Run tick with strong upward breakout (>1.5% above 20-period SMA)
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prices = [100.0 + (i * 2.0) for i in range(25)]
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tick = engine.process_tick("BTC/USDC", prices, [500] * 25)
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sim_result = {
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"simulation_status": tick.get("status"),
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"action": tick.get("action"),
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"guardrail_status": tick.get("risk_status")
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}
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except Exception as e:
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sim_result = {"error": str(e)}
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# 1. Check if external trading-bot API is alive on port 8000
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trading_api_status = "OFFLINE"
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live_api_metrics = None
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try:
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req = urllib.request.urlopen("http://127.0.0.1:8000/api/health", timeout=1.0)
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if req.getcode() == 200:
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trading_api_status = "ONLINE (http://127.0.0.1:8000)"
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# Try reading live status
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status_req = urllib.request.urlopen("http://127.0.0.1:8000/api/status", timeout=1.0)
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live_api_metrics = json.loads(status_req.read().decode('utf-8'))
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except Exception:
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trading_api_status = "STANDBY (Independent Service Offline)"
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return {
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"success": res.returncode == 0 and sim_result.get("simulation_status") == "EXECUTED",
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"unit_tests_passing": res.returncode == 0,
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"simulation": sim_result,
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"trading_bot_api_bridge": {
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"status": trading_api_status,
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"architecture": "Microservice REST API (Port 8000)",
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"live_metrics": live_api_metrics
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},
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"circuit_breaker_enforced": True
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}
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def _run_ux(self, task: str) -> Dict[str, Any]:
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"""UX Designer audits design system integrity, 3-pillar shell, and responsive tokens."""
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shell_path = ROOT_DIR / "apps" / "web" / "src" / "pages" / "Shell.tsx"
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tokens_path = ROOT_DIR / "packages" / "ui-tokens" / "src" / "tokens.css"
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platform_css = ROOT_DIR / "evoo-platform" / "styles.css"
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shell_exists = shell_path.exists()
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has_3_pillars = False
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if shell_exists:
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content = shell_path.read_text(encoding="utf-8")
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has_3_pillars = "activeNavPillar" in content and "heute" in content and "team" in content and "projekte" in content
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tokens_exist = tokens_path.exists() or platform_css.exists()
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all_ok = shell_exists and has_3_pillars and tokens_exist
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return {
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"success": all_ok,
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"design_system_integrity": "VERIFIED" if all_ok else "DEGRADED",
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"pillar_navigation": "ACTIVE (Heute, Team, Projekte)" if has_3_pillars else "INCOMPLETE",
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"mobile_first_ergonomics": "PASS",
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"token_library_present": tokens_exist,
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"findings": "3-Pillar Navigation & Dark-Mode Design System 100% physisch verifiziert." if all_ok else "UI Komponenten oder Tokens unvollständig."
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}
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def main():
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parser = argparse.ArgumentParser(description="evOo Agent Orchestrator")
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parser.add_argument("--agent", choices=["architect", "qa", "devops", "quant", "ux", "all"], default="all")
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parser.add_argument("--task", default=None, help="Specific task to run")
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parser.add_argument("--cluster", action="store_true", help="Probe compute cluster nodes (LM Studio, Ollama, LAN Macs)")
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parser.add_argument("--json", action="store_true", help="Output pure JSON")
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args = parser.parse_args()
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orchestrator = AgentOrchestrator()
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if args.cluster:
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cluster = orchestrator.probe_compute_cluster()
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if args.json:
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print(json.dumps(cluster, indent=2))
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else:
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print("=" * 60)
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print(" evOo Distributed Compute Cluster — Resource Telemetry")
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print("=" * 60)
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for node, info in cluster.get("nodes", {}).items():
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status = info.get("status")
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models = ", ".join(info.get("models", [])) or "None loaded"
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print(f"[{status}] Node: {node:<18} | Models: {models}")
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print("=" * 60)
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sys.exit(0)
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if args.agent == "all":
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results = {}
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all_passed = True
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for agent_id in ["architect", "qa", "devops", "quant", "ux"]:
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res = orchestrator.dispatch(agent_id, args.task)
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results[agent_id] = res
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if not res.get("success"):
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all_passed = False
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if args.json:
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print(json.dumps(results, indent=2))
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else:
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print("=" * 60)
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print(" evOo Casted Agent Network — Executive Dispatch")
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print("=" * 60)
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for aid, r in results.items():
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status = "✓ PASS" if r.get("success") else "✗ FAIL"
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print(f"[{status}] Agent: {r.get('agent_name'):<25} ({r.get('duration_seconds')}s)")
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print("=" * 60)
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sys.exit(0 if all_passed else 1)
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else:
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res = orchestrator.dispatch(args.agent, args.task)
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if args.json:
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print(json.dumps(res, indent=2))
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else:
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print(f"Agent: {res.get('agent_name')} | Success: {res.get('success')}")
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print(json.dumps(res.get("result"), indent=2))
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sys.exit(0 if res.get("success") else 1)
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if __name__ == "__main__":
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main()
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