velocitatem/PHANTOM
1
0
Fork 0
mirror of https://github.com/velocitatem/PHANTOM.git synced 2026-05-31 08:33:36 +00:00
Code Issues Packages Projects Releases Wiki Activity

responsive and representative demand for COI erosion

Browse Source
This commit is contained in:
Daniel Rosel
2026-03-11 12:46:22 +01:00
parent 0f708aab15
commit fa2dde8307
7 changed files with 66 additions and 145 deletions
Download Patch File Download Diff File Expand all files Collapse all files

22
engine/lib/wrappers.py
View File

@@ -32,17 +32,23 @@ class EconomicMetricsWrapper(gym.Wrapper):
obs, reward, terminated, truncated, info = self.env.step(action)
# extract from unwrapped env
prices = self.env.unwrapped._prices
quoted_prices = np.asarray(self.env.unwrapped._prices, dtype=float)
effective_prices = np.asarray(
info.get("effective_prices", quoted_prices), dtype=float
)
if effective_prices.shape != quoted_prices.shape:
effective_prices = quoted_prices
demand_dict = self.env.unwrapped._demand
demand = np.array([demand_dict.get(i, 0.0) for i in range(len(prices))])
demand = np.array([demand_dict.get(i, 0.0) for i in range(len(quoted_prices))])
# core calculations
revenue = float(np.sum(prices * demand))
avg_price = float(np.mean(prices))
revenue = float(info.get("revenue", np.sum(effective_prices * demand)))
quoted_revenue = float(np.sum(quoted_prices * demand))
avg_price = float(np.mean(effective_prices))
margin = (avg_price - self.p_min) / max(avg_price, 1e-6)
coi_level = avg_price - self.p_min # E[P] - p_min per thesis Def 1
self._price_history.append(prices.copy())
self._price_history.append(effective_prices.copy())
self._revenue_history.append(revenue)
# regret vs baseline (golden path)
@@ -53,6 +59,7 @@ class EconomicMetricsWrapper(gym.Wrapper):
# inject structured metrics into info
info["economics"] = {
"revenue": revenue,
"quoted_revenue": quoted_revenue,
"margin": margin,
"coi_level": coi_level,
"regret": regret,
@@ -71,10 +78,13 @@ class EconomicMetricsWrapper(gym.Wrapper):
"agent_prob",
"alpha_adv",
"alpha_nominal",
"erosion_share",
"effective_price_mean",
):
if key in info:
info["economics"][key] = info[key]
info["prices"] = prices.copy()
info["prices"] = quoted_prices.copy()
info["effective_prices"] = effective_prices.copy()
info["demand"] = demand.copy()
return obs, reward, terminated, truncated, info