Files
adaptive-pricing/projects/coulomb-pricing/observatory/economics.py
tegwick 31db9f8f31 Refactor economics to expense-record ledger with correct Bubble cost
Replace pre-aggregated costs.json with expense_records.json (48 line-item
records) and payment_records.json. All monthly and cumulative totals are
computed deterministically in observatory/ledger.py. Correct Bubble.io to
$32/mo (since Feb 2025) — infrastructure €69.44/mo not €72.20.
2026-06-22 02:03:22 +02:00

155 lines
5.4 KiB
Python

from __future__ import annotations
from decimal import Decimal, ROUND_HALF_UP
from .models import (
Budget,
EconomicsSnapshot,
LiquidityStatus,
LiquiditySummary,
MembershipRecord,
MonthlyPlatformCost,
PaymentRecord,
PricingModel,
Product,
)
TWOPLACES = Decimal("0.01")
PCTPLACES = Decimal("0.1")
def _quantize(value: Decimal, exp: Decimal = TWOPLACES) -> Decimal:
return value.quantize(exp, rounding=ROUND_HALF_UP)
def liquidity_status_for(net: Decimal) -> LiquidityStatus:
if net < Decimal("0"):
return "burning"
if net > Decimal("0"):
return "generating"
return "neutral"
def active_members(members: list[MembershipRecord]) -> int:
return sum(1 for member in members if member.status == "active")
def active_pricing_model(models: list[PricingModel], product: Product) -> PricingModel:
for model in models:
if model.id == product.active_pricing_model_id:
return model
raise ValueError(f"active pricing model not found: {product.active_pricing_model_id}")
def payment_for_period(period: str, payments: list[PaymentRecord]) -> PaymentRecord | None:
for record in payments:
if record.period == period:
return record
return None
def estimate_monthly_revenue(
period: str,
product: Product,
models: list[PricingModel],
members: list[MembershipRecord],
payments: list[PaymentRecord],
monthly_costs: list[MonthlyPlatformCost],
) -> tuple[Decimal, Decimal, str]:
recorded = payment_for_period(period, payments)
if recorded:
return recorded.gross_amount, recorded.net_amount, recorded.source
month = next((item for item in monthly_costs if item.period == period), None)
if month and month.gross_revenue > 0:
return month.gross_revenue, month.gross_revenue, "derived_from_ledger"
model = active_pricing_model(models, product)
count = active_members(members)
gross = model.access_fee_amount * count
return gross, gross, "derived_from_membership"
def periods_through(target: str, monthly_costs: list[MonthlyPlatformCost]) -> list[str]:
return sorted(item.period for item in monthly_costs if item.period <= target)
def build_liquidity_summary(
budget: Budget,
payments: list[PaymentRecord],
monthly_costs: list[MonthlyPlatformCost],
through_period: str,
) -> LiquiditySummary:
tracked = periods_through(through_period, monthly_costs)
cost_by_period = {item.period: item for item in monthly_costs}
cumulative_payments = Decimal("0")
cumulative_infrastructure = Decimal("0")
cumulative_processing = Decimal("0")
for period in tracked:
month = cost_by_period[period]
cumulative_infrastructure += month.infrastructure_cost
cumulative_processing += month.payment_processing_cost
payment = payment_for_period(period, payments)
cumulative_payments += payment.net_amount if payment else Decimal("0")
cumulative_net = _quantize(cumulative_payments - cumulative_infrastructure)
remaining = _quantize(budget.initial_budget + cumulative_net)
cumulative_total = _quantize(cumulative_infrastructure + cumulative_processing)
return LiquiditySummary(
currency=budget.currency,
through_period=through_period,
initial_budget=budget.initial_budget,
cumulative_member_payments=_quantize(cumulative_payments),
cumulative_infrastructure_cost=_quantize(cumulative_infrastructure),
cumulative_payment_processing_cost=_quantize(cumulative_processing),
cumulative_total_platform_cost=cumulative_total,
cumulative_net_liquidity=cumulative_net,
remaining_budget=remaining,
liquidity_status=liquidity_status_for(cumulative_net),
months_tracked=len(tracked),
)
def build_snapshot(
period: str,
product: Product,
models: list[PricingModel],
members: list[MembershipRecord],
payments: list[PaymentRecord],
monthly_costs: list[MonthlyPlatformCost],
) -> EconomicsSnapshot:
month = next(item for item in monthly_costs if item.period == period)
count = month.active_members if month.active_members else active_members(members)
gross_revenue, net_revenue, revenue_source = estimate_monthly_revenue(
period, product, models, members, payments, monthly_costs
)
infrastructure = month.infrastructure_cost
processing = month.payment_processing_cost
total_platform = month.total_platform_cost
cost_per_member = _quantize(total_platform / count) if count else Decimal("0.00")
gross_margin = _quantize(gross_revenue - total_platform)
margin_pct = (
_quantize((gross_margin / gross_revenue) * Decimal("100"), PCTPLACES)
if gross_revenue
else Decimal("-100.0") if total_platform else Decimal("0.0")
)
period_net = _quantize(net_revenue - infrastructure)
return EconomicsSnapshot(
period=period,
currency=product.currency,
active_members=count,
monthly_revenue=_quantize(gross_revenue),
monthly_infrastructure_cost=infrastructure,
monthly_payment_processing_cost=processing,
monthly_total_platform_cost=total_platform,
cost_per_member=cost_per_member,
gross_margin=gross_margin,
gross_margin_pct=margin_pct,
pricing_model_count=len(models),
revenue_source=revenue_source,
period_net_liquidity=period_net,
liquidity_status=liquidity_status_for(period_net),
)