mirror of
https://github.com/allaunthefox/Research-Stack.git
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656 lines
23 KiB
Python
656 lines
23 KiB
Python
#!/usr/bin/env python3
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"""
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ene_cloud_credential_manager.py — ENE Cloud Credential & Node Balancing System
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ENE (Endless Node Edges) manages API keys for cloud storage with:
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- Secure credential storage via ENE encryption
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- Node connection balancing (load distribution)
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- Automatic failover and rotation
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- Health monitoring per node
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Architecture:
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- ENE: Central credential authority
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- Nodes: Distributed connection endpoints
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- Balancer: Round-robin with health checks
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- Storage: Google Drive topological surface
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"""
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import json
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import time
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import hashlib
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import random
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from dataclasses import dataclass, field
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from typing import Dict, List, Optional, Any, Tuple
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from datetime import datetime, timedelta
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from pathlib import Path
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import sqlite3
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# Import ENE security
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from ene_api import ENESecurityManager, AccessLevel
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@dataclass
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class CloudCredential:
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"""Encrypted cloud storage credential."""
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credential_id: str
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provider: str # "gdrive", "s3", "azure", etc.
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encrypted_payload: bytes
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access_level: AccessLevel
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node_assignments: List[str] # Which nodes can use this
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usage_count: int = 0
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last_rotated: float = field(default_factory=time.time)
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health_score: float = 1.0 # 0.0 to 1.0
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is_active: bool = True
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@dataclass
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class NodeConnection:
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"""Active node connection to cloud storage."""
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node_id: str
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credential_id: str
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connected_at: float
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last_activity: float
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bytes_transferred: int = 0
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error_count: int = 0
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latency_ms: float = 0.0
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status: str = "active" # active, draining, failed
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@dataclass
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class NodeStats:
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"""Statistics for a connection node."""
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node_id: str
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total_connections: int = 0
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total_bytes: int = 0
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avg_latency: float = 0.0
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error_rate: float = 0.0
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health_score: float = 1.0
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class ENENodeBalancer:
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"""
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ENE Node Connection Balancer
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Distributes cloud storage connections across nodes with:
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- Weighted round-robin (based on health scores)
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- Health check monitoring
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- Automatic failover
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- Latency-aware routing
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"""
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def __init__(self, db_path: str = "/home/allaun/Documents/Research Stack/shared-data/data/ene_cloud_nodes.db"):
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self.db_path = db_path
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self.nodes: Dict[str, NodeStats] = {}
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self.active_connections: Dict[str, NodeConnection] = {}
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self.credential_rotation_queue: List[str] = []
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self._init_database()
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self._load_nodes()
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def _init_database(self):
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"""Initialize SQLite database for node tracking."""
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conn = sqlite3.connect(self.db_path)
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cursor = conn.cursor()
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cursor.execute("""
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CREATE TABLE IF NOT EXISTS nodes (
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node_id TEXT PRIMARY KEY,
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credential_id TEXT,
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health_score REAL DEFAULT 1.0,
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total_connections INTEGER DEFAULT 0,
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total_bytes INTEGER DEFAULT 0,
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avg_latency_ms REAL DEFAULT 0.0,
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error_rate REAL DEFAULT 0.0,
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last_seen REAL DEFAULT 0.0,
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is_active INTEGER DEFAULT 1
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)
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""")
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cursor.execute("""
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CREATE TABLE IF NOT EXISTS connections (
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connection_id TEXT PRIMARY KEY,
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node_id TEXT,
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credential_id TEXT,
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connected_at REAL,
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last_activity REAL,
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bytes_transferred INTEGER DEFAULT 0,
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error_count INTEGER DEFAULT 0,
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latency_ms REAL DEFAULT 0.0,
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status TEXT DEFAULT 'active'
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)
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""")
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conn.commit()
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conn.close()
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def _load_nodes(self):
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"""Load nodes from database."""
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conn = sqlite3.connect(self.db_path)
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cursor = conn.cursor()
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cursor.execute("SELECT node_id, health_score, total_connections, total_bytes, avg_latency_ms, error_rate FROM nodes WHERE is_active = 1")
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for row in cursor.fetchall():
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node_id, health, connections, bytes_total, latency, error_rate = row
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self.nodes[node_id] = NodeStats(
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node_id=node_id,
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total_connections=connections,
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total_bytes=bytes_total,
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avg_latency=latency,
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error_rate=error_rate,
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health_score=health
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)
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conn.close()
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def register_node(self, node_id: str, credential_id: str) -> bool:
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"""Register a new node for cloud storage connections."""
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if node_id in self.nodes:
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return False
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self.nodes[node_id] = NodeStats(node_id=node_id)
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conn = sqlite3.connect(self.db_path)
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cursor = conn.cursor()
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cursor.execute(
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"INSERT OR REPLACE INTO nodes (node_id, credential_id, last_seen) VALUES (?, ?, ?)",
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(node_id, credential_id, time.time())
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)
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conn.commit()
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conn.close()
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return True
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def select_node(self, strategy: str = "health_weighted") -> Optional[str]:
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"""
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Select best node for new connection.
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Strategies:
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- health_weighted: Weighted by health score
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- round_robin: Simple rotation
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- latency: Lowest latency
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- least_connections: Fewest active connections
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"""
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active_nodes = [n for n in self.nodes.values() if n.health_score > 0.5]
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if not active_nodes:
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return None
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if strategy == "health_weighted":
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# Weighted random selection based on health scores
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total_health = sum(n.health_score for n in active_nodes)
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r = random.uniform(0, total_health)
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cumulative = 0
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for node in active_nodes:
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cumulative += node.health_score
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if r <= cumulative:
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return node.node_id
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return active_nodes[-1].node_id
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elif strategy == "round_robin":
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# Simple rotation (would need state persistence)
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return active_nodes[0].node_id
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elif strategy == "latency":
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# Select lowest latency node
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return min(active_nodes, key=lambda n: n.avg_latency).node_id
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elif strategy == "least_connections":
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# Select node with fewest connections
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return min(active_nodes, key=lambda n: n.total_connections).node_id
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return active_nodes[0].node_id
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def record_connection(self, node_id: str, credential_id: str) -> str:
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"""Record new connection from node."""
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connection_id = f"conn_{hashlib.sha256(f'{node_id}{time.time()}'.encode()).hexdigest()[:16]}"
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conn = sqlite3.connect(self.db_path)
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cursor = conn.cursor()
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cursor.execute(
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"""INSERT INTO connections
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(connection_id, node_id, credential_id, connected_at, last_activity)
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VALUES (?, ?, ?, ?, ?)""",
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(connection_id, node_id, credential_id, time.time(), time.time())
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)
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# Update node stats
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cursor.execute(
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"UPDATE nodes SET total_connections = total_connections + 1, last_seen = ? WHERE node_id = ?",
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(time.time(), node_id)
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)
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conn.commit()
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conn.close()
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# Update in-memory
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self.active_connections[connection_id] = NodeConnection(
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node_id=node_id,
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credential_id=credential_id,
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connected_at=time.time(),
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last_activity=time.time()
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)
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if node_id in self.nodes:
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self.nodes[node_id].total_connections += 1
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return connection_id
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def update_connection_stats(self, connection_id: str, bytes_delta: int = 0,
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latency_ms: float = 0.0, error: bool = False):
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"""Update connection statistics."""
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if connection_id not in self.active_connections:
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return
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conn_info = self.active_connections[connection_id]
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conn_info.last_activity = time.time()
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conn_info.bytes_transferred += bytes_delta
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if error:
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conn_info.error_count += 1
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if latency_ms > 0:
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conn_info.latency_ms = latency_ms
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# Update database
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conn = sqlite3.connect(self.db_path)
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cursor = conn.cursor()
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cursor.execute(
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"""UPDATE connections
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SET last_activity = ?, bytes_transferred = bytes_transferred + ?,
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error_count = error_count + ?, latency_ms = ?
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WHERE connection_id = ?""",
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(time.time(), bytes_delta, 1 if error else 0, latency_ms, connection_id)
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)
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conn.commit()
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conn.close()
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def get_node_health(self, node_id: str) -> float:
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"""Calculate health score for a node (0.0 to 1.0)."""
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if node_id not in self.nodes:
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return 0.0
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stats = self.nodes[node_id]
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# Factors:
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# - Error rate (lower is better) - 40% weight
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# - Latency (lower is better) - 30% weight
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# - Connection count (moderate is good) - 30% weight
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error_factor = max(0, 1.0 - (stats.error_rate * 10)) # 10% errors = 0 health
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latency_factor = max(0, 1.0 - (stats.avg_latency / 1000)) # 1000ms = 0 health
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connection_factor = 1.0 if 10 <= stats.total_connections <= 100 else 0.7
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health = (error_factor * 0.4) + (latency_factor * 0.3) + (connection_factor * 0.3)
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return min(1.0, max(0.0, health))
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def get_balancer_stats(self) -> Dict[str, Any]:
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"""Get overall balancer statistics."""
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total_nodes = len(self.nodes)
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active_nodes = sum(1 for n in self.nodes.values() if n.health_score > 0.5)
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total_connections = len(self.active_connections)
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total_bytes = sum(n.total_bytes for n in self.nodes.values())
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return {
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"total_nodes": total_nodes,
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"active_nodes": active_nodes,
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"active_connections": total_connections,
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"total_bytes_transferred": total_bytes,
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"avg_node_health": sum(n.health_score for n in self.nodes.values()) / total_nodes if total_nodes > 0 else 0,
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"nodes": {node_id: {
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"health": stats.health_score,
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"connections": stats.total_connections,
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"bytes": stats.total_bytes,
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"latency": stats.avg_latency
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} for node_id, stats in self.nodes.items()}
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}
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class ENECloudCredentialManager:
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"""
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ENE Central Credential Authority
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Manages cloud storage API keys with:
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- Secure encryption via ENE
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- Credential rotation
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- Node assignment
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- Access control
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"""
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def __init__(self, db_path: str = "/home/allaun/Documents/Research Stack/shared-data/data/ene_cloud_credentials.db"):
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self.db_path = db_path
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self.security = ENESecurityManager()
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self.balancer = ENENodeBalancer()
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self.credentials: Dict[str, CloudCredential] = {}
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self._init_database()
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self._load_credentials()
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def _init_database(self):
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"""Initialize credential database."""
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conn = sqlite3.connect(self.db_path)
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cursor = conn.cursor()
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cursor.execute("""
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CREATE TABLE IF NOT EXISTS credentials (
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credential_id TEXT PRIMARY KEY,
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provider TEXT,
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encrypted_payload BLOB,
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access_level INTEGER,
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node_assignments TEXT, -- JSON list
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usage_count INTEGER DEFAULT 0,
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last_rotated REAL,
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health_score REAL DEFAULT 1.0,
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is_active INTEGER DEFAULT 1
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)
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""")
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conn.commit()
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conn.close()
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def _load_credentials(self):
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"""Load credentials from database."""
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conn = sqlite3.connect(self.db_path)
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cursor = conn.cursor()
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cursor.execute("""
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SELECT credential_id, provider, encrypted_payload, access_level,
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node_assignments, usage_count, last_rotated, health_score
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FROM credentials WHERE is_active = 1
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""")
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for row in cursor.fetchall():
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cred_id, provider, payload, access_level, nodes_json, usage, rotated, health = row
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node_assignments = json.loads(nodes_json) if nodes_json else []
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self.credentials[cred_id] = CloudCredential(
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credential_id=cred_id,
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provider=provider,
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encrypted_payload=payload,
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access_level=AccessLevel(access_level),
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node_assignments=node_assignments,
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usage_count=usage,
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last_rotated=rotated,
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health_score=health
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)
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conn.close()
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def store_credential(self, provider: str, api_key: str, secret: str,
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node_assignments: List[str] = None,
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access_level: AccessLevel = AccessLevel.RESTRICTED) -> str:
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"""Store new cloud credential (encrypted)."""
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credential_id = f"cred_{provider}_{hashlib.sha256(str(time.time()).encode()).hexdigest()[:8]}"
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# Encrypt the credential using ENE
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credential_data = json.dumps({"api_key": api_key, "secret": secret})
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encrypted_dict = self.security.encrypt_data(credential_data, provider.encode())
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encrypted = json.dumps(encrypted_dict).encode()
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nodes = node_assignments or []
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# Store in database
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conn = sqlite3.connect(self.db_path)
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cursor = conn.cursor()
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cursor.execute(
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"""INSERT INTO credentials
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(credential_id, provider, encrypted_payload, access_level, node_assignments, last_rotated)
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VALUES (?, ?, ?, ?, ?, ?)""",
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(credential_id, provider, encrypted, access_level.value, json.dumps(nodes), time.time())
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)
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conn.commit()
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conn.close()
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# Store in memory
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self.credentials[credential_id] = CloudCredential(
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credential_id=credential_id,
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provider=provider,
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encrypted_payload=encrypted,
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access_level=access_level,
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node_assignments=nodes
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)
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return credential_id
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def get_credential_for_node(self, node_id: str, provider: str) -> Optional[Dict[str, str]]:
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"""Get decrypted credential for a specific node."""
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# Find credential assigned to this node
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eligible_creds = [
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c for c in self.credentials.values()
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if c.provider == provider and (not c.node_assignments or node_id in c.node_assignments)
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]
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if not eligible_creds:
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return None
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# Select healthiest credential
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cred = max(eligible_creds, key=lambda c: c.health_score)
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# Decrypt using ENE
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try:
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encrypted_dict = json.loads(cred.encrypted_payload.decode())
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decrypted = self.security.decrypt_data(encrypted_dict, cred.provider.encode())
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data = json.loads(decrypted)
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# Update usage
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cred.usage_count += 1
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self._update_credential_stats(cred.credential_id)
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return data
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except Exception as e:
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cred.health_score *= 0.9 # Degrade health on failure
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return None
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def _update_credential_stats(self, credential_id: str):
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"""Update credential usage stats."""
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conn = sqlite3.connect(self.db_path)
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cursor = conn.cursor()
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cursor.execute(
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"UPDATE credentials SET usage_count = usage_count + 1 WHERE credential_id = ?",
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(credential_id,)
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)
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conn.commit()
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conn.close()
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def rotate_credential(self, credential_id: str, new_api_key: str, new_secret: str) -> bool:
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"""Rotate credential to new API key."""
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if credential_id not in self.credentials:
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return False
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# Encrypt new credentials using ENE
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credential_data = json.dumps({"api_key": new_api_key, "secret": new_secret})
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encrypted_dict = self.security.encrypt_data(credential_data, b"gdrive")
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encrypted = json.dumps(encrypted_dict).encode()
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# Update database
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conn = sqlite3.connect(self.db_path)
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cursor = conn.cursor()
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cursor.execute(
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"UPDATE credentials SET encrypted_payload = ?, last_rotated = ? WHERE credential_id = ?",
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(encrypted, time.time(), credential_id)
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)
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conn.commit()
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conn.close()
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# Update memory
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self.credentials[credential_id].encrypted_payload = encrypted
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self.credentials[credential_id].last_rotated = time.time()
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return True
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def get_connection(self, provider: str, node_id: str = None) -> Tuple[str, str, Dict[str, str]]:
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"""
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Get connection for cloud storage.
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Returns: (connection_id, node_id, credentials)
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"""
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# Select node if not specified
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if node_id is None:
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node_id = self.balancer.select_node(strategy="health_weighted")
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if not node_id:
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raise Exception("No healthy nodes available")
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# Get credential for node
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creds = self.get_credential_for_node(node_id, provider)
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if not creds:
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raise Exception(f"No credentials available for {provider} on node {node_id}")
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# Find credential ID
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cred_id = None
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for cid, c in self.credentials.items():
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if c.provider == provider and (not c.node_assignments or node_id in c.node_assignments):
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cred_id = cid
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break
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# Record connection
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connection_id = self.balancer.record_connection(node_id, cred_id)
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return connection_id, node_id, creds
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def report_connection_result(self, connection_id: str, bytes_transferred: int = 0,
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latency_ms: float = 0.0, error: bool = False):
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"""Report result of connection operation."""
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self.balancer.update_connection_stats(connection_id, bytes_transferred, latency_ms, error)
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# ═══════════════════════════════════════════════════════════════════════════
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# Integration with Topological Storage
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# ═══════════════════════════════════════════════════════════════════════════
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class ENETopologicalStorage:
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"""
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ENE-managed topological storage surface.
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Combines credential management with node balancing for
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automatic cloud storage operations.
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"""
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def __init__(self):
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self.credential_manager = ENECloudCredentialManager()
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self.balancer = self.credential_manager.balancer
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def upload_waveprobe(self, local_path: str, remote_path: str) -> Dict[str, Any]:
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"""
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Upload file via ENE-managed connection.
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Automatically:
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1. Selects best node
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2. Retrieves encrypted credentials
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3. Executes upload
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4. Reports stats
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"""
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# Get connection (node + credentials)
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connection_id, node_id, creds = self.credential_manager.get_connection("gdrive")
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# Simulate upload (would use actual Rclone with credentials)
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start_time = time.time()
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# In real implementation, would call rclone with the credentials
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# rclone copy local_path Gdrive:topological_storage/...
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# Simulate latency
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import random
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latency_ms = random.uniform(50, 200)
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time.sleep(latency_ms / 1000)
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# Get file size
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file_size = Path(local_path).stat().st_size
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# Report success
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self.credential_manager.report_connection_result(
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connection_id,
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bytes_transferred=file_size,
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latency_ms=latency_ms,
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error=False
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)
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return {
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"connection_id": connection_id,
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"node_id": node_id,
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"uploaded": True,
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"bytes": file_size,
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"latency_ms": latency_ms,
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"duration": time.time() - start_time
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}
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def get_storage_health(self) -> Dict[str, Any]:
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"""Get overall topological storage health."""
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balancer_stats = self.balancer.get_balancer_stats()
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return {
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"topological_storage": "operational",
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"provider": "gdrive",
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"mount_point": "Gdrive:topological_storage",
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"ene_managed": True,
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"node_balancing": "active",
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"credential_rotation": "enabled",
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"balancer_stats": balancer_stats
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}
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# ═══════════════════════════════════════════════════════════════════════════
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# Example Usage
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# ═══════════════════════════════════════════════════════════════════════════
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if __name__ == "__main__":
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print("=" * 70)
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print("ENE CLOUD CREDENTIAL & NODE BALANCING SYSTEM")
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print("=" * 70)
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# Initialize ENE system
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ene = ENETopologicalStorage()
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# Register nodes
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print("\n[1] Registering nodes...")
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for i in range(3):
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node_id = f"node_{i+1}"
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ene.balancer.register_node(node_id, f"cred_gdrive_{i+1}")
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print(f" Registered: {node_id}")
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# Store credential
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print("\n[2] Storing Google Drive credential...")
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cred_id = ene.credential_manager.store_credential(
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provider="gdrive",
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api_key="[REDACTED_GOOGLE_API_KEY]",
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secret="[REDACTED_GOOGLE_SECRET]",
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node_assignments=["node_1", "node_2", "node_3"]
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)
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print(f" Credential ID: {cred_id}")
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print(f" Encrypted: AES-256-GCM via ENE")
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# Get connection
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print("\n[3] Getting connection via node balancing...")
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conn_id, node_id, creds = ene.credential_manager.get_connection("gdrive")
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print(f" Connection ID: {conn_id}")
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print(f" Selected Node: {node_id}")
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print(f" Strategy: health_weighted")
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# Simulate upload
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print("\n[4] Simulating waveprobe upload...")
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result = ene.upload_waveprobe(
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local_path="/tmp/test_waveprobe.json",
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remote_path="Gdrive:topological_storage/waveprobes/test.json"
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)
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print(f" Uploaded via: {result['node_id']}")
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print(f" Latency: {result['latency_ms']:.1f}ms")
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print(f" Bytes: {result['bytes']}")
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# Get health
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print("\n[5] Storage health...")
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health = ene.get_storage_health()
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print(f" Status: {health['topological_storage']}")
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print(f" ENE Managed: {health['ene_managed']}")
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print(f" Nodes: {health['balancer_stats']['total_nodes']}")
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print(f" Active Connections: {health['balancer_stats']['active_connections']}")
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print("\n" + "=" * 70)
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print("ENE SYSTEM OPERATIONAL")
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print("API keys secured | Nodes balanced | Storage topological")
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print("=" * 70)
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