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porting to better

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This commit is contained in:
Daniel Rosel
2026-01-28 16:09:28 +01:00
parent 83d9bb2552
commit 6e06081d60
4 changed files with 77 additions and 2 deletions
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8
engine/lib/demand.py
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@@ -1,11 +1,15 @@
import logging
import numpy as np
from logging import getLogger
logger = getLogger(__name__)
def generate_demand(prices):
def generate_demand(prices, distribution_method = np.random.normal, distribution_params = (50.0, 10.0)):
# assumption 1: each product has an intrinsic valuation drawn from a normal distribution centered at 50
product_valuations = np.random.normal(loc=50.0, scale=10.0, size=len(prices))
product_valuations = distribution_method(*distribution_params, size=len(prices))
# assumption 2: demand decreases as price increases, following a simple linear model
demand = np.maximum(0, product_valuations - prices) # demand cannot be negative
demand = demand / np.sum(demand) * 100 # normalize to total demand of 1000 units so demand output is within [0, 100]
logger.info(f"Generated demand for prices {prices}: {demand} with valuations from distribution {distribution_params}")
return demand
def estimate_demand(trajectories):