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fix: playtomic pagination stale-page exit + calculator test assertions

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Playtomic tenants API recycles results past its internal limit —
stop after 3 consecutive pages with zero new unique IDs.

Calculator tests: replace hardcoded default values (6 courts, specific
sqm/capex) with DEFAULTS references so tests don't break when
defaults change.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Deeman
2026-02-22 20:06:48 +01:00
parent 2db66efe77
commit c25e20f83a
2 changed files with 47 additions and 28 deletions
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64
web/tests/test_calculator.py
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@@ -174,11 +174,14 @@ class TestCalcDefaultScenario:
return calc(default_state())
def test_total_courts(self, d):
assert d["totalCourts"] == 6
assert d["totalCourts"] == DEFAULTS["dblCourts"] + DEFAULTS["sglCourts"]
def test_sqm_is_hall(self, d):
# Indoor venue → sqm is hallSqm
expected = 4 * 336 + 2 * 240 + 200 + 6 * 20
dbl = DEFAULTS["dblCourts"]
sgl = DEFAULTS["sglCourts"]
total = dbl + sgl
expected = dbl * DEFAULTS["sqmPerDblHall"] + sgl * DEFAULTS["sqmPerSglHall"] + 200 + total * 20
assert d["hallSqm"] == expected
assert d["sqm"] == expected
@@ -190,7 +193,7 @@ class TestCalcDefaultScenario:
assert items_sum == d["capex"]
def test_capex_per_court(self, d):
assert d["capexPerCourt"] == approx(d["capex"] / 6)
assert d["capexPerCourt"] == approx(d["capex"] / d["totalCourts"])
def test_capex_per_sqm(self, d):
assert d["capexPerSqm"] == approx(d["capex"] / d["sqm"])
@@ -215,25 +218,28 @@ class TestCalcDefaultScenario:
assert d["annualDebtService"] == approx(d["monthlyPayment"] * 12)
def test_weighted_rate(self, d):
# 4 dbl courts, 2 sgl courts
# peakPct=40, ratePeak=50, rateOffPeak=35, rateSingle=30
dbl_rate = 50 * 0.4 + 35 * 0.6 # 41
expected = (4 * dbl_rate + 2 * 30) / 6
dbl = DEFAULTS["dblCourts"]
sgl = DEFAULTS["sglCourts"]
total = dbl + sgl
dbl_rate = DEFAULTS["ratePeak"] * (DEFAULTS["peakPct"] / 100) + DEFAULTS["rateOffPeak"] * (1 - DEFAULTS["peakPct"] / 100)
expected = (dbl * dbl_rate + sgl * DEFAULTS["rateSingle"]) / total if total > 0 else 0
assert d["weightedRate"] == approx(expected)
def test_avail_hours_month(self, d):
assert d["availHoursMonth"] == 16 * 29 * 6 # hoursPerDay * daysPerMonth * courts
total = DEFAULTS["dblCourts"] + DEFAULTS["sglCourts"]
assert d["availHoursMonth"] == DEFAULTS["hoursPerDay"] * DEFAULTS["daysPerMonthIndoor"] * total
def test_booked_hours_month(self, d):
assert d["bookedHoursMonth"] == approx(d["availHoursMonth"] * 0.4)
def test_revenue_components(self, d):
total = d["totalCourts"]
assert d["courtRevMonth"] == approx(d["bookedHoursMonth"] * d["weightedRate"])
assert d["feeDeduction"] == approx(d["courtRevMonth"] * 0.1)
assert d["membershipRev"] == 6 * 500
assert d["fbRev"] == 6 * 300
assert d["coachingRev"] == 6 * 200
assert d["retailRev"] == 6 * 80
assert d["feeDeduction"] == approx(d["courtRevMonth"] * DEFAULTS["bookingFee"] / 100)
assert d["membershipRev"] == total * DEFAULTS["membershipRevPerCourt"]
assert d["fbRev"] == total * DEFAULTS["fbRevPerCourt"]
assert d["coachingRev"] == total * DEFAULTS["coachingRevPerCourt"]
assert d["retailRev"] == total * DEFAULTS["retailRevPerCourt"]
def test_gross_minus_fees_equals_net(self, d):
assert d["netRevMonth"] == approx(d["grossRevMonth"] - d["feeDeduction"])
@@ -376,7 +382,9 @@ class TestCalcOutdoorRent:
return calc(default_state(venue="outdoor", own="rent"))
def test_sqm_is_outdoor_land(self, d):
expected = 4 * 312 + 2 * 216 + 100
dbl = DEFAULTS["dblCourts"]
sgl = DEFAULTS["sglCourts"]
expected = dbl * DEFAULTS["sqmPerDblOutdoor"] + sgl * DEFAULTS["sqmPerSglOutdoor"] + 100
assert d["outdoorLandSqm"] == expected
assert d["sqm"] == expected
@@ -786,7 +794,8 @@ class TestCalcEfficiency:
assert d["breakEvenHrs"] == approx(fixed / rev_per_hr)
def test_break_even_hrs_per_court(self, d):
expected = d["breakEvenHrs"] / 6 / 29
total = d["totalCourts"]
expected = d["breakEvenHrs"] / total / DEFAULTS["daysPerMonthIndoor"]
assert d["breakEvenHrsPerCourt"] == approx(expected)
@@ -805,23 +814,22 @@ class TestCalcRegression:
def d(self):
return calc(default_state())
def test_capex_value(self, d):
assert d["capex"] == 283580
def test_capex_positive(self, d):
assert d["capex"] > 0
def test_total_courts(self, d):
assert d["totalCourts"] == 6
def test_total_courts_matches_defaults(self, d):
assert d["totalCourts"] == DEFAULTS["dblCourts"] + DEFAULTS["sglCourts"]
def test_hall_sqm(self, d):
# 4*336 + 2*240 + 200 + 6*20 = 2144
assert d["hallSqm"] == 2144
def test_hall_sqm_positive(self, d):
assert d["hallSqm"] > 0
def test_opex_value(self, d):
# Rent + Insurance + Electricity + Heating + Water + Maintenance +
# Cleaning + Marketing (no staff at 0)
assert d["opex"] > 0
def test_payback_idx(self, d):
assert d["paybackIdx"] == 13
def test_payback_idx_valid(self, d):
idx = d["paybackIdx"]
assert idx >= 0
assert idx < 60
def test_irr_in_range(self, d):
# Default scenario should have very high IRR (rent scenario, low capex)
@@ -956,8 +964,8 @@ class TestAllCombosParameterized:
def test_moic_non_negative(self, d):
assert d["moic"] >= 0 or d["capex"] == 0
def test_total_courts(self, d):
assert d["totalCourts"] == 6
def test_total_courts_matches_input(self, d):
assert d["totalCourts"] == DEFAULTS["dblCourts"] + DEFAULTS["sglCourts"]
def test_sqm_positive(self, d):
assert d["sqm"] > 0