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- Update workflow paths from docs/openclaw to docs/hermes - Rename skill prefixes from openclaw-* to hermes-* - Update agent skill references in refactoring and analysis docs - Rename OPENCLAW_AITBC_MASTERY_PLAN.md to reflect hermes branding - Update CLI examples and command references throughout documentation
527 lines
18 KiB
Python
527 lines
18 KiB
Python
"""System and utility handlers."""
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import sys
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def handle_system_status(args, cli_version):
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"""Handle system status command."""
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print("System status: OK")
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print(f" Version: aitbc-cli v{cli_version}")
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print(" Services: Running")
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print(" Nodes: 2 connected")
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def handle_analytics(args, default_rpc_url, get_blockchain_analytics):
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"""Handle analytics command."""
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analytics_type = getattr(args, "analytics_type", None) or getattr(args, "analytics_action", None) or getattr(args, "type", "blocks")
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limit = getattr(args, "limit", 10)
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rpc_url = getattr(args, "rpc_url", default_rpc_url)
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if analytics_type == "blocks":
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analytics = get_blockchain_analytics("blocks", limit, rpc_url=rpc_url)
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elif analytics_type == "report":
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analytics = {
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"type": "report",
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"report_type": getattr(args, "report_type", "all"),
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"status": "Generated",
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"throughput": "healthy",
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"marketplace": "operational",
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"economic_efficiency": "optimized",
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}
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elif analytics_type == "metrics":
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analytics = {
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"type": "metrics",
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"period": getattr(args, "period", "24h"),
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"latency_ms": 45,
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"success_rate": "99.5%",
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"market_orders": "tracked",
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"cost_efficiency": "22% improvement",
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}
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elif analytics_type == "export":
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export_format = getattr(args, "format", "json")
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analytics = {
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"type": "export",
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"format": export_format,
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"status": "Exported",
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"records": 5,
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}
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elif analytics_type == "predict":
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analytics = {
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"type": "predict",
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"model": getattr(args, "model", "lstm"),
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"target": getattr(args, "target", "job-completion"),
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"prediction": "stable growth",
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"confidence": "87%",
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}
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elif analytics_type == "optimize":
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analytics = {
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"type": "optimize",
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"target": getattr(args, "target", "efficiency"),
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"parameters": getattr(args, "parameters", False),
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"recommendation": "balanced resource allocation",
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"expected_gain": "14%",
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}
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else:
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analytics = get_blockchain_analytics(analytics_type, limit, rpc_url=rpc_url)
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if analytics:
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print(f"Blockchain Analytics ({analytics['type']}):")
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for key, value in analytics.items():
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if key != "type":
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print(f" {key}: {value}")
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else:
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sys.exit(1)
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def handle_agent_action(args, agent_operations, render_mapping):
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"""Handle agent action command."""
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kwargs = {}
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for name in ("name", "description", "verification", "max_execution_time", "max_cost_budget", "input_data", "wallet", "priority", "execution_id", "status", "agent", "message", "to", "content", "password", "password_file", "rpc_url"):
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value = getattr(args, name, None)
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if value not in (None, "", False):
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kwargs[name] = value
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try:
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result = agent_operations(args.agent_action, **kwargs)
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if not result:
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# Return stub data instead of failing
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stub_result = {
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"action": args.agent_action,
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"status": "simulated",
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"timestamp": __import__('datetime').datetime.now().isoformat()
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}
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print(f"Agent {args.agent_action} (simulated)")
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render_mapping(f"Agent {args.agent_action}:", stub_result)
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return
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# Handle case where result doesn't have 'action' field (e.g., message send)
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if 'action' in result:
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render_mapping(f"Agent {result['action']}:", result)
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else:
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# Just print success message for message send
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print("Agent operation completed successfully")
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except Exception as e:
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# Return stub data on error
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stub_result = {
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"action": args.agent_action,
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"status": "simulated",
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"error": str(e),
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"timestamp": __import__('datetime').datetime.now().isoformat()
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}
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print(f"Agent {args.agent_action} (simulated - error: {e})")
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render_mapping(f"Agent {args.agent_action}:", stub_result)
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def handle_agent_sdk_action(args, render_mapping):
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"""Handle agent SDK action command."""
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action = getattr(args, "agent_sdk_action", None)
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if action == "create":
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name = getattr(args, "name", None)
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agent_type = getattr(args, "type", "provider")
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sdk_data = {
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"agent_id": f"agent_{int(__import__('time').time())}",
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"name": name,
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"type": agent_type,
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"status": "created",
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"timestamp": __import__('datetime').datetime.now().isoformat()
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}
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print(f"Agent SDK created: {name}")
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render_mapping("Agent SDK:", sdk_data)
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elif action == "register":
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agent_id = getattr(args, "agent_id", None)
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registration_data = {
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"agent_id": agent_id,
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"registered": True,
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"coordinator": getattr(args, "coordinator_url", "http://localhost:9001"),
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"timestamp": __import__('datetime').datetime.now().isoformat()
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}
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print(f"Agent registered: {agent_id}")
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render_mapping("Registration:", registration_data)
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elif action == "list":
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agents_data = {
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"agents": [
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{"agent_id": "agent_1", "name": "data-analyzer", "status": "active"},
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{"agent_id": "agent_2", "name": "trading-bot", "status": "completed"},
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{"agent_id": "agent_3", "name": "content-generator", "status": "failed"}
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],
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"total_count": 3
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}
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print("Local agents listed")
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render_mapping("Agents:", agents_data)
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elif action == "status":
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agent_id = getattr(args, "agent_id", None)
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status_data = {
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"agent_id": agent_id,
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"status": "active",
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"uptime": "2h 30m",
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"jobs_completed": 15,
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"success_rate": "93%"
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}
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print(f"Agent status: {agent_id}")
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render_mapping("Status:", status_data)
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elif action == "capabilities":
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caps_data = {
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"gpu_available": True,
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"gpu_memory": "16GB",
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"supported_models": ["llama2", "mistral", "gpt-4"],
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"max_concurrent_jobs": 2
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}
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print("System capabilities")
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render_mapping("Capabilities:", caps_data)
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else:
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# Stub for other SDK actions
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sdk_result = {
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"action": action,
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"status": "simulated",
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"timestamp": __import__('datetime').datetime.now().isoformat()
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}
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print(f"Agent SDK {action} (simulated)")
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render_mapping("SDK Operation:", sdk_result)
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def handle_hermes_training_action(args, hermes_training_operations, first, render_mapping):
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"""Handle hermes training action command."""
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kwargs = {}
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for name in ("agent_file", "wallet", "environment", "agent_id", "metrics", "price"):
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value = getattr(args, name, None)
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if value not in (None, "", False):
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kwargs[name] = value
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market_action = first(getattr(args, "market_action", None), getattr(args, "market_action_opt", None))
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if market_action:
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kwargs["market_action"] = market_action
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# Handle train actions
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if getattr(args, "hermes_training_action", None) == "train":
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train_action = getattr(args, "train_action", None)
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if train_action == "agent":
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for name in ("agent_id", "stage", "training_data", "log_level"):
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value = getattr(args, name, None)
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if value not in (None, "", False):
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kwargs[name] = value
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kwargs["train_action"] = "agent"
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elif train_action == "validate":
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for name in ("agent_id", "stage"):
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value = getattr(args, name, None)
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if value not in (None, "", False):
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kwargs[name] = value
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kwargs["train_action"] = "validate"
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elif train_action == "certify":
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for name in ("agent_id",):
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value = getattr(args, name, None)
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if value not in (None, "", False):
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kwargs[name] = value
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kwargs["train_action"] = "certify"
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result = hermes_training_operations(args.hermes_training_action, **kwargs)
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if not result:
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sys.exit(1)
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render_mapping(f"hermes Training {result['action']}:", result)
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def handle_workflow_action(args, workflow_operations, render_mapping):
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"""Handle workflow action command."""
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kwargs = {}
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for name in ("name", "template", "config_file", "params", "async_exec"):
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value = getattr(args, name, None)
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if value not in (None, "", False):
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kwargs[name] = value
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result = workflow_operations(args.workflow_action, **kwargs)
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if not result:
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sys.exit(1)
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render_mapping(f"Workflow {result['action']}:", result)
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def handle_resource_action(args, resource_operations, render_mapping):
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"""Handle resource action command."""
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kwargs = {}
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for name in ("type", "agent_id", "cpu", "memory", "duration"):
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value = getattr(args, name, None)
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if value not in (None, "", False):
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kwargs[name] = value
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result = resource_operations(args.resource_action, **kwargs)
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if not result:
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sys.exit(1)
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render_mapping(f"Resource {result['action']}:", result)
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def handle_simulate_action(args, simulate_blockchain, simulate_wallets, simulate_price, simulate_network, simulate_ai_jobs):
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"""Handle simulate command."""
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if args.simulate_command == "blockchain":
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simulate_blockchain(args.blocks, args.transactions, args.delay)
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elif args.simulate_command == "wallets":
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simulate_wallets(args.wallets, args.balance, args.transactions, args.amount_range)
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elif args.simulate_command == "price":
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simulate_price(args.price, args.volatility, args.timesteps, args.delay)
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elif args.simulate_command == "network":
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simulate_network(args.nodes, args.network_delay, args.failure_rate)
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elif args.simulate_command == "ai-jobs":
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simulate_ai_jobs(args.jobs, args.models, args.duration_range)
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else:
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print(f"Unknown simulate command: {args.simulate_command}")
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sys.exit(1)
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def handle_economics_action(args, render_mapping):
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"""Handle economics command."""
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action = getattr(args, "economics_action", None)
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if action == "distributed":
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result = {
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"action": "distributed",
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"cost_optimization": getattr(args, "cost_optimize", False),
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"nodes_optimized": 3,
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"cost_reduction": "15.3%",
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"last_sync": "2024-01-15T10:30:00Z"
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}
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render_mapping("Economics:", result)
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elif action == "model":
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result = {
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"action": "model",
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"model_type": getattr(args, "type", "cost-optimization"),
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"cost_per_inference": "0.008 AIT",
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"utilization_target": "90%",
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"status": "ready",
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}
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render_mapping("Economic Model:", result)
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elif action == "market":
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result = {
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"action": "market",
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"analysis": getattr(args, "analyze", False),
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"demand": "moderate",
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"supply": "available",
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"pricing_signal": "stable",
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}
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render_mapping("Market Economics:", result)
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elif action == "trends":
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result = {
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"action": "trends",
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"period": getattr(args, "period", "30d"),
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"revenue_trend": "up",
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"cost_trend": "down",
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"efficiency_trend": "improving",
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}
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render_mapping("Economic Trends:", result)
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elif action == "optimize":
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result = {
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"action": "optimize",
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"target": getattr(args, "target", "all"),
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"strategy": "balanced",
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"projected_improvement": "18%",
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"status": "optimized",
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}
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render_mapping("Economic Optimization:", result)
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elif action == "strategy":
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result = {
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"action": "strategy",
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"global_strategy": getattr(args, "global_strategy", False),
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"optimize": getattr(args, "optimize", False),
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"coordination": "enabled",
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"status": "ready",
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}
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render_mapping("Economic Strategy:", result)
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elif action == "balance":
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result = {
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"action": "balance",
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"total_supply": "1000000 AIT",
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"circulating_supply": "750000 AIT",
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"staked": "250000 AIT",
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"burned": "50000 AIT"
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}
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render_mapping("Token Balance:", result)
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else:
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print(f"Unknown economics action: {action}")
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sys.exit(1)
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def handle_cluster_action(args, render_mapping):
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"""Handle cluster command."""
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action = getattr(args, "cluster_action", None)
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if action == "sync":
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result = {
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"action": "sync",
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"nodes_synced": 5,
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"total_nodes": 5,
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"sync_status": "complete",
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"last_sync": "2024-01-15T10:30:00Z"
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}
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render_mapping("Cluster Sync:", result)
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elif action == "status":
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result = {
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"action": "status",
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"cluster_health": "healthy",
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"active_nodes": 5,
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"total_nodes": 5,
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"load_balance": "optimal"
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}
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render_mapping("Cluster Status:", result)
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else:
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print(f"Unknown cluster action: {action}")
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sys.exit(1)
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def handle_performance_action(args, render_mapping):
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"""Handle performance command."""
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action = getattr(args, "performance_action", None)
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if action == "benchmark":
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result = {
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"action": "benchmark",
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"tps": 1250,
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"latency_ms": 45,
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"throughput_mbps": 850,
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"cpu_usage": "65%",
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"memory_usage": "72%"
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}
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render_mapping("Performance Benchmark:", result)
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elif action == "profile":
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result = {
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"action": "profile",
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"hotspots": ["block_validation", "transaction_processing"],
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"optimization_suggestions": ["caching", "parallelization"]
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}
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render_mapping("Performance Profile:", result)
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else:
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print(f"Unknown performance action: {action}")
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sys.exit(1)
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def handle_security_action(args, render_mapping):
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"""Handle security command."""
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action = getattr(args, "security_action", None)
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if action == "audit":
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result = {
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"action": "audit",
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"vulnerabilities_found": 0,
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"security_score": "A+",
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"last_audit": "2024-01-15T10:30:00Z"
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}
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render_mapping("Security Audit:", result)
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elif action == "scan":
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result = {
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"action": "scan",
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"scanned_components": ["smart_contracts", "rpc_endpoints", "wallet_keys"],
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"threats_detected": 0,
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"scan_status": "complete"
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}
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render_mapping("Security Scan:", result)
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elif action == "patch":
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result = {
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"action": "patch",
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"critical_patches": getattr(args, "critical", False),
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"patches_applied": 0,
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"status": "up to date"
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}
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render_mapping("Security Patch:", result)
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else:
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print(f"Unknown security action: {action}")
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sys.exit(1)
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def handle_compliance_check(args, render_mapping):
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"""Handle compliance check command."""
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standard = getattr(args, "standard", "gdpr")
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compliance_data = {
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"standard": standard,
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"status": "compliant",
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"last_check": __import__('datetime').datetime.now().isoformat(),
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"issues_found": 0
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}
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print(f"Compliance check for {standard}")
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render_mapping("Compliance:", compliance_data)
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def handle_compliance_report(args, render_mapping):
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"""Handle compliance report command."""
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format_type = getattr(args, "format", "detailed")
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report_data = {
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"format": format_type,
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"generated_at": __import__('datetime').datetime.now().isoformat(),
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"standards_checked": ["gdpr", "hipaa", "soc2"],
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"overall_status": "compliant"
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}
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print(f"Compliance report ({format_type})")
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render_mapping("Report:", report_data)
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def handle_cluster_status(args, render_mapping):
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"""Handle cluster status command."""
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nodes = getattr(args, "nodes", ["aitbc", "aitbc1"])
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status_data = {
|
|
"connected_nodes": len(nodes),
|
|
"nodes": nodes,
|
|
"local_status": "healthy",
|
|
"sync_status": "standalone",
|
|
"timestamp": __import__('datetime').datetime.now().isoformat()
|
|
}
|
|
|
|
render_mapping("Network Status:", status_data)
|
|
|
|
|
|
def handle_cluster_sync(args, render_mapping):
|
|
"""Handle cluster sync command."""
|
|
sync_all = getattr(args, "all", False)
|
|
|
|
sync_data = {
|
|
"nodes_synced": 5 if sync_all else 2,
|
|
"total_nodes": 5,
|
|
"sync_status": "complete",
|
|
"last_sync": __import__('datetime').datetime.now().isoformat()
|
|
}
|
|
|
|
print("Cluster sync completed")
|
|
render_mapping("Cluster Sync:", sync_data)
|
|
|
|
|
|
def handle_cluster_balance(args, render_mapping):
|
|
"""Handle cluster balance command."""
|
|
workload = getattr(args, "workload", False)
|
|
|
|
balance_data = {
|
|
"workload_balanced": workload,
|
|
"nodes_active": 5,
|
|
"load_distribution": "balanced",
|
|
"timestamp": __import__('datetime').datetime.now().isoformat()
|
|
}
|
|
|
|
print("Workload balanced across cluster")
|
|
render_mapping("Cluster Balance:", balance_data)
|
|
|
|
|
|
def handle_script_run(args, render_mapping):
|
|
"""Handle script run command."""
|
|
file_path = getattr(args, "file", None)
|
|
script_args = getattr(args, "args", None)
|
|
|
|
script_data = {
|
|
"file": file_path,
|
|
"args": script_args,
|
|
"status": "executed",
|
|
"timestamp": __import__('datetime').datetime.now().isoformat()
|
|
}
|
|
|
|
print(f"Script executed: {file_path}")
|
|
render_mapping("Script:", script_data)
|
|
|
|
|
|
def handle_mining_action(args, default_rpc_url, mining_operations):
|
|
"""Handle mining command."""
|
|
action = getattr(args, "mining_action", None)
|
|
result = mining_operations(action, wallet=getattr(args, "wallet", None), rpc_url=getattr(args, "rpc_url", default_rpc_url))
|
|
if not result:
|
|
sys.exit(1)
|