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Create tools.py
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tools.py
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import random
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from datetime import datetime
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class BaseTool:
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"""Base class for all procurement tools"""
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def __init__(self, name):
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self.name = name
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def run(self, pr_data):
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raise NotImplementedError
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class InventoryTool(BaseTool):
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def __init__(self):
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super().__init__("InventoryTool")
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def run(self, pr_data):
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current_inventory = pr_data["Current_Inventory"]
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required_quantity = pr_data["Quantity"]
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# Simulate checking other locations
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other_locations_inventory = random.randint(0, required_quantity * 2)
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total_available = current_inventory + other_locations_inventory
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if total_available >= required_quantity:
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return {
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"inventory_available": True,
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"current_location": current_inventory,
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"other_locations": other_locations_inventory,
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"total_available": total_available,
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"message": f"Sufficient inventory available: {total_available} units across all locations"
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}
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else:
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return {
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"inventory_available": False,
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"current_location": current_inventory,
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"other_locations": other_locations_inventory,
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"total_available": total_available,
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"shortage": required_quantity - total_available,
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"message": f"Inventory shortage: {required_quantity - total_available} units needed"
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}
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class ExternalRiskTool(BaseTool):
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def __init__(self):
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super().__init__("ExternalRiskTool")
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def run(self, pr_data):
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# Simulate external risk assessment
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category = pr_data["Category"]
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external_disruption = pr_data["External_Disruption"]
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# Risk factors based on category and external conditions
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risk_factors = []
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risk_score = 0.0
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if external_disruption:
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risk_factors.append("Supply chain disruption reported")
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risk_score += 0.4
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# Category-specific risks
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if category == "Raw Materials":
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if random.random() < 0.2: # 20% chance of commodity price volatility
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risk_factors.append("Commodity price volatility detected")
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risk_score += 0.3
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if category == "IT Equipment":
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if random.random() < 0.15: # 15% chance of semiconductor shortage
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risk_factors.append("Semiconductor supply constraints")
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risk_score += 0.25
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# Geographic risk simulation
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if random.random() < 0.1: # 10% chance of regional disruption
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risk_factors.append("Regional weather/transport disruption")
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risk_score += 0.2
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high_risk = risk_score > 0.3
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return {
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"risk": high_risk,
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"risk_score": risk_score,
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"risk_factors": risk_factors,
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"message": f"Risk assessment: {'HIGH RISK' if high_risk else 'LOW RISK'} - Score: {risk_score:.2f}"
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}
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class ContractTool(BaseTool):
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def __init__(self):
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super().__init__("ContractTool")
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def run(self, pr_data):
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contract_status = pr_data["Contract_Status"]
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category = pr_data["Category"]
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# Simulate contract validation
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if contract_status == "Expired":
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days_expired = random.randint(1, 90)
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return {
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"contract_expired": True,
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"days_expired": days_expired,
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"renewal_required": True,
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"message": f"Contract expired {days_expired} days ago - renewal required"
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}
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else:
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days_remaining = random.randint(30, 365)
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auto_renewable = category in ["Office Supplies", "Services"]
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return {
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"contract_expired": False,
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"days_remaining": days_remaining,
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"auto_renewable": auto_renewable,
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"terms_compliant": True,
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"message": f"Contract valid for {days_remaining} days - terms compliant"
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}
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class POExecutionTool(BaseTool):
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def __init__(self):
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super().__init__("POExecutionTool")
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def run(self, pr_data):
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# Simulate PO creation and execution
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po_number = f"PO-{random.randint(100000, 999999)}"
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estimated_delivery = random.randint(3, 14) # 3-14 days
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# Calculate costs
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base_cost = pr_data["Budget"]
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urgency_premium = {"Low": 0.0, "Medium": 0.05, "High": 0.15}
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final_cost = base_cost * (1 + urgency_premium[pr_data["Urgency"]])
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return {
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"po_executed": True,
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"po_number": po_number,
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"estimated_delivery_days": estimated_delivery,
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"final_cost": final_cost,
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"cost_variance": ((final_cost - base_cost) / base_cost) * 100,
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"message": f"PO {po_number} created - Estimated delivery: {estimated_delivery} days, Cost: ${final_cost:,.2f}"
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}
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class HumanNotificationTool(BaseTool):
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def __init__(self):
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super().__init__("HumanNotificationTool")
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def run(self, pr_data):
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# Simulate human notification
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urgency = pr_data["Urgency"]
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notification_channels = []
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if urgency == "High":
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notification_channels = ["Email", "SMS", "Slack"]
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sla_hours = 2
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elif urgency == "Medium":
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notification_channels = ["Email", "Slack"]
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sla_hours = 8
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else:
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notification_channels = ["Email"]
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sla_hours = 24
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return {
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"notified": True,
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"channels": notification_channels,
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"sla_hours": sla_hours,
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"escalation_level": urgency,
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"message": f"Human review requested via {', '.join(notification_channels)} - SLA: {sla_hours}h"
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}
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