pricing_agent_tools.pyā¢1.12 kB
class PricingAgentTools:
def calculate_optimal_price(self, cost: float, margin: float, demand_factor: float) -> dict:
"""
Calculate optimal price using a simple formula.
"""
price = round((cost + margin) * demand_factor, 2)
return {'price': price}
def find_competitor_match(self, product_id: str) -> dict:
"""
Find nearest competitor product (simulated lookup).
"""
# Dummy competitor price for demonstration
competitor_prices = {'P001': 22.99, 'P002': 18.50, 'P003': 25.00}
price = competitor_prices.get(product_id, 19.99)
return {'competitor_price': price}
def generate_markdown_explanation(self, price_change: dict) -> dict:
"""
Generate markdown explanation for price changes.
"""
old = price_change.get('old_price', 'N/A')
new = price_change.get('new_price', 'N/A')
reason = price_change.get('reason', 'market adjustment')
markdown = f"**Price Update**\nOld Price: ${old}\nNew Price: ${new}\nReason: {reason}"
return {'markdown': markdown}
