Implement customer-tuning solver and close WP-0006

This commit is contained in:
codex
2026-07-02 23:46:58 +02:00
parent 386c8a46fe
commit 124ad48720
10 changed files with 997 additions and 9 deletions

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@@ -28,6 +28,8 @@ def test_dashboard_payload_contains_live_ledger_totals() -> None:
assert payload["pricing_simulations"]["primary_profile_id"] == "solo-builder"
assert payload["pricing_simulations"]["required_improvement_factor"] == "1.05"
assert payload["pricing_simulations"]["reference_model_id"] is not None
assert payload["customer_tuning"]["request_count"] == 2
assert payload["customer_tuning"]["accepted_request_ids"] == ["small-team-lower-usage-price"]
assert len(payload["boundary_validation"]["model_results"]) == 3
assert payload["boundary_validation"]["policy"]["target_margin_pct"] == "15"
assert any(

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@@ -0,0 +1,149 @@
from __future__ import annotations
from decimal import Decimal
from pathlib import Path
from adaptive_pricing_core.customer_tuning import CustomerTuningRequest, solve_customer_tuning
from observatory.boundary import build_boundary_policy
from observatory.economics import build_snapshot
from observatory.load import (
load_ltv_scenarios,
load_membership,
load_monthly_ledger,
load_payment_records,
load_pricing_models,
load_product,
)
from observatory.ltv import _configuration, _ltv_policy, _profile, _usage_unit_cost
from observatory.tuning import build_customer_tuning_pilot
from observatory.usage import load_usage_records
DATA_DIR = Path(__file__).resolve().parent.parent / "data"
def _scenario_inputs(profile_id: str = "small-team"):
product = load_product(DATA_DIR)
models = load_pricing_models(DATA_DIR)
members = load_membership(DATA_DIR)
payments = load_payment_records(DATA_DIR)
ledger = load_monthly_ledger(DATA_DIR)
snapshot = build_snapshot("2026-06", product, models, members, payments, ledger)
usage_records = load_usage_records(DATA_DIR)
scenario_catalog = load_ltv_scenarios(DATA_DIR)
profile = _profile(next(item for item in scenario_catalog["profiles"] if item["id"] == profile_id))
observed_usage_unit_cost = _usage_unit_cost(usage_records, snapshot.period)
return snapshot, models, usage_records, scenario_catalog, profile, observed_usage_unit_cost
def test_lower_usage_price_request_can_stay_seller_safe() -> None:
(
snapshot,
models,
usage_records,
scenario_catalog,
profile,
observed_usage_unit_cost,
) = _scenario_inputs()
model = next(item for item in models if item.id == "membership-plus-overage")
outcome = solve_customer_tuning(
_configuration(model, profile, snapshot, observed_usage_unit_cost),
[
_configuration(candidate, profile, snapshot, observed_usage_unit_cost)
for candidate in models
if candidate.status in ("active", "candidate")
],
profile,
build_boundary_policy(snapshot),
_ltv_policy(scenario_catalog),
CustomerTuningRequest(
included_units=Decimal("50000"),
contract_duration_months=3,
preference="lower_usage_price",
approval_mode="self_serve_only",
),
)
assert outcome.decision == "accepted"
assert outcome.reference_model_id == "flat-899-eur-monthly"
assert outcome.passes_required_improvement is True
assert outcome.solved_usage_unit_price < Decimal("0.002")
assert "lower_included_usage" in outcome.tradeoffs
assert "longer_contract_duration" in outcome.tradeoffs
def test_high_included_request_is_rejected_for_self_serve() -> None:
(
snapshot,
models,
_usage_records,
scenario_catalog,
profile,
observed_usage_unit_cost,
) = _scenario_inputs()
model = next(item for item in models if item.id == "membership-plus-overage")
outcome = solve_customer_tuning(
_configuration(model, profile, snapshot, observed_usage_unit_cost),
[
_configuration(candidate, profile, snapshot, observed_usage_unit_cost)
for candidate in models
if candidate.status in ("active", "candidate")
],
profile,
build_boundary_policy(snapshot),
_ltv_policy(scenario_catalog),
CustomerTuningRequest(
included_units=Decimal("150000"),
contract_duration_months=3,
preference="lower_usage_price",
approval_mode="self_serve_only",
),
)
assert outcome.decision == "rejected"
assert outcome.passes_required_improvement is True
assert any(
constraint.id == "discount-exposure-limit"
for constraint in outcome.binding_constraints
)
def test_customer_tuning_pilot_surfaces_accepted_and_rejected_requests() -> None:
snapshot, models, usage_records, scenario_catalog, _profile_data, _usage_unit_cost_value = _scenario_inputs()
pilot = build_customer_tuning_pilot(
snapshot,
models,
usage_records,
scenario_catalog,
{
"requests": [
{
"id": "accepted",
"name": "Accepted",
"profile_id": "small-team",
"model_id": "membership-plus-overage",
"preference": "lower_usage_price",
"approval_mode": "self_serve_only",
"selected_tunables": {
"included_tokens": "50000",
"contract_duration_months": 3,
},
},
{
"id": "rejected",
"name": "Rejected",
"profile_id": "small-team",
"model_id": "membership-plus-overage",
"preference": "lower_usage_price",
"approval_mode": "self_serve_only",
"selected_tunables": {
"included_tokens": "150000",
"contract_duration_months": 3,
},
},
]
},
)
assert pilot["request_count"] == 2
assert pilot["accepted_request_ids"] == ["accepted"]
assert {item["result"]["decision"] for item in pilot["requests"]} == {"accepted", "rejected"}