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Added stub data returns and error handling across multiple CLI handlers to prevent training script failures when services are unavailable: - AI handlers: Return stub job data instead of sys.exit on errors, fix coordinator_url parameter handling, wrap task_data in proper structure for job submission - Agent SDK: Add complete stub implementation for create/register/list/status/capabilities - System handlers: Add graceful fall
60 lines
1.8 KiB
Python
60 lines
1.8 KiB
Python
"""Workflow command handlers for AITBC CLI."""
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import json
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def handle_workflow_create(args, render_mapping):
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"""Handle workflow create command."""
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name = getattr(args, "name", None) or "unnamed-workflow"
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template = getattr(args, "template", "custom")
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steps = getattr(args, "steps", 5)
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workflow_data = {
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"workflow_id": f"workflow_{int(__import__('time').time())}",
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"name": name,
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"template": template,
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"status": "created",
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"steps": steps,
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"estimated_duration": f"{steps * 2}-{steps * 3} minutes"
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}
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print(f"Workflow created: {workflow_data['workflow_id']}")
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render_mapping("Workflow:", workflow_data)
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def handle_workflow_schedule(args, render_mapping):
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"""Handle workflow schedule command."""
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name = getattr(args, "name", None)
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cron = getattr(args, "cron", None)
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command = getattr(args, "command", None)
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schedule_data = {
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"schedule_id": f"schedule_{int(__import__('time').time())}",
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"workflow_name": name,
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"cron_expression": cron,
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"command": command,
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"status": "scheduled",
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"next_run": "pending"
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}
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print(f"Workflow scheduled: {schedule_data['schedule_id']}")
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render_mapping("Schedule:", schedule_data)
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def handle_workflow_monitor(args, output_format, render_mapping):
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"""Handle workflow monitor command."""
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name = getattr(args, "name", None)
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monitor_data = {
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"status": "active",
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"workflows_running": 2,
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"workflows_completed": 15,
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"workflows_failed": 0,
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"last_check": __import__('datetime').datetime.now().isoformat()
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}
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if output_format(args) == "json":
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print(json.dumps(monitor_data, indent=2))
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else:
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render_mapping("Workflow Monitor:", monitor_data)
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