5ab2906667
Automated salvage commit — agent session ended (exit 1). Work in progress, may need continuation.
126 lines
4.3 KiB
Python
126 lines
4.3 KiB
Python
"""
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Resource Tracking System for FLEET-005.
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This script tracks Capacity, Uptime, and Innovation, enforcing a tension model.
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"""
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import json
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import os
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from datetime import datetime
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# --- Configuration ---
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METRICS_DIR = "metrics"
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RESOURCE_STATE_FILE = os.path.join(METRICS_DIR, "resource_state.json")
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CAPACITY_THRESHOLD_INNOVATION = 70.0 # Innovation generates when capacity < 70%
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# --- Helper Functions ---
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def load_resource_state():
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"""Loads the current resource state from a JSON file."""
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if not os.path.exists(RESOURCE_STATE_FILE):
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return {"capacity": 100.0, "uptime": 100.0, "innovation": 0.0, "last_run": None}
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with open(RESOURCE_STATE_FILE, "r") as f:
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return json.load(f)
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def save_resource_state(state):
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"""Saves the current resource state to a JSON file."""
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os.makedirs(METRICS_DIR, exist_ok=True)
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with open(RESOURCE_STATE_FILE, "w") as f:
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json.dump(state, f, indent=4)
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def calculate_fibonacci_milestone(current_uptime):
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"""Calculates the next Fibonacci-based uptime milestone."""
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milestones = [95.0, 95.5, 96.0, 97.0, 98.0, 99.0, 99.9] # Example milestones, can be expanded
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for milestone in milestones:
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if current_uptime < milestone:
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return milestone
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return None # All milestones achieved or above
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# --- Main Tracking Logic ---
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def track_resources(fleet_improvements_cost, healthy_utilization_gain, service_uptime_percent):
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"""
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Updates resource states based on inputs and tension model.
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Args:
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fleet_improvements_cost (float): Capacity consumed by new improvements.
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healthy_utilization_gain (float): Capacity generated by well-running processes.
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service_uptime_percent (float): Current uptime of services (0-100%).
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"""
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state = load_resource_state()
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# Update Capacity
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state["capacity"] = state["capacity"] - fleet_improvements_cost + healthy_utilization_gain
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state["capacity"] = max(0.0, min(100.0, state["capacity"])) # Keep capacity between 0 and 100
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# Update Uptime
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state["uptime"] = service_uptime_percent
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# Update Innovation
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if state["capacity"] < CAPACITY_THRESHOLD_INNOVATION:
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# Placeholder for innovation generation logic
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# For now, a simple linear increase based on how far below the threshold
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innovation_gain = (CAPACITY_THRESHOLD_INNOVATION - state["capacity"]) * 0.1
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state["innovation"] += innovation_gain
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state["last_run"] = datetime.now().isoformat()
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save_resource_state(state)
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return state
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def generate_dashboard_report(state):
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"""Generates a simple text-based dashboard report."""
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report = f"""
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--- Resource Tracking System Dashboard ---
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Last Run: {state.get("last_run", "N/A")}
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Capacity: {state["capacity"]:.2f}%
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Uptime: {state["uptime"]:.2f}%
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Innovation: {state["innovation"]:.2f}
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"""
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fib_milestone = calculate_fibonacci_milestone(state["uptime"])
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if fib_milestone:
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report += f"Next Uptime Milestone: {fib_milestone:.2f}%
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"
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else:
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report += "All Uptime Milestones Achieved!
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"
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if state["innovation"] < 100:
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report += f"Innovation needs to be > 100 to unblock Phase 3. Current: {state['innovation']:.2f}
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"
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else:
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report += "Phase 3 is unblocked (Innovation > 100)!
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"
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report += "------------------------------------------"
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return report
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def main():
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# Placeholder values for daily inputs
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# In a real system, these would come from other monitoring systems or configurations
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daily_fleet_improvements_cost = 5.0 # Example: 5% capacity consumed daily
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daily_healthy_utilization_gain = 3.0 # Example: 3% capacity generated daily
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current_service_uptime = 96.5 # Example: 96.5% current uptime
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print("Running resource tracker...")
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updated_state = track_resources(
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fleet_improvements_cost=daily_fleet_improvements_cost,
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healthy_utilization_gain=daily_healthy_utilization_gain,
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service_uptime_percent=current_service_uptime
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)
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print("Resource state updated.")
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print(generate_dashboard_report(updated_state))
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# Check for blocking Phase 3
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if updated_state["innovation"] < 100:
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print("
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WARNING: Phase 3 work is currently BLOCKED due to insufficient Innovation.")
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else:
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print("
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Phase 3 work is UNBLOCKED!")
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if __name__ == "__main__":
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main()
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