adaptive-pricing/projects/coulomb-pricing/tests/test_economics.py

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from __future__ import annotations
from decimal import Decimal
from pathlib import Path
from observatory.economics import active_members, build_snapshot, monthly_cost_total
from observatory.load import (
load_costs,
load_membership,
load_pricing_models,
load_product,
load_revenue,
)
DATA_DIR = Path(__file__).resolve().parent.parent / "data"
def test_active_members_counts_only_active_status() -> None:
members = load_membership(DATA_DIR)
assert active_members(members) == 3
def test_build_snapshot_uses_seed_revenue_for_period() -> None:
product = load_product(DATA_DIR)
models = load_pricing_models(DATA_DIR)
members = load_membership(DATA_DIR)
revenue = load_revenue(DATA_DIR)
_, costs, fx_rates = load_costs(DATA_DIR)
snapshot = build_snapshot("2026-06", product, models, members, revenue, costs, fx_rates)
assert snapshot.active_members == 3
assert snapshot.monthly_revenue == Decimal("80.91")
assert snapshot.revenue_source == "manual_estimate"
assert snapshot.pricing_model_count == 3
assert snapshot.monthly_cost > Decimal("0")
assert snapshot.cost_per_member == (snapshot.monthly_cost / 3).quantize(Decimal("0.01"))
assert snapshot.gross_margin == (snapshot.monthly_revenue - snapshot.monthly_cost).quantize(
Decimal("0.01")
)
def test_monthly_cost_includes_fixed_and_variable_components() -> None:
_, costs, fx_rates = load_costs(DATA_DIR)
total = monthly_cost_total(costs, fx_rates, Decimal("80.91"), 3)
# fixed: 35 USD -> 32.20 EUR + 15 EUR + 25 EUR = 72.20
# variable: 1.5% of 80.91 + 0.25 * 3 = 1.21 + 0.75 = 1.96
assert total == Decimal("74.16")
def test_dashboard_module_renders_markdown() -> None:
from observatory.dashboard import generate_dashboard
report = generate_dashboard(DATA_DIR, "2026-06")
assert "# Economics Dashboard v1" in report
assert "Pricing Model Registry" in report
assert "flat-899-eur-monthly" in report