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Add a Monte-Carlo "FIRE number" solver so the wealth dashboard can show a £ countdown to retirement across life-stage cases, in today's money. Viktor wants to see, per country, how far his net worth is from being able to retire for good under three cases — Solo (his spend ×1.5), Household (+Anca ×1.5), Family (+2 kids) — with cost-of-living re-scaling per country and a 99% Guyton-Klinger success bar. - spend_model: per-Case real-GBP spend, COL-scaled (rent + non-rent essentials scale by country; Holidays fixed), ×1.5 safety. Constants sourced live from actualbudget (Viktor) / on-record (Anca). - geo: city -> tax jurisdiction (nomad fallback). - fire_target: binary-search the smallest LIQUID net worth where GK reaches the bar; pension modelled as a tranche unlocking at ~57, kids ramp + optional home as cashflows. New fire_target table (migration 0007) + idempotent upsert. - recompute-fire-targets CLI: solve every Case x country and persist for Grafana. - CONTEXT.md glossary + ADR-0001 (why MC-threshold on liquid NW, not 25x spend). Reuses the existing simulator unchanged (its cashflow hooks already supported pension/kids/home). 345 tests pass; mypy + ruff clean. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
37 lines
1.1 KiB
Python
37 lines
1.1 KiB
Python
"""City -> tax jurisdiction mapping for the countdown solver."""
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from __future__ import annotations
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import pytest
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from fire_planner.geo import jurisdiction_for_city
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@pytest.mark.parametrize(
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("slug", "expected"),
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[
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("sofia", "bulgaria"),
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("limassol", "cyprus"),
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("bangkok", "thailand"),
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("chiang-mai", "thailand"),
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("kuala-lumpur", "malaysia"),
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("penang", "malaysia"),
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("dubai", "uae"),
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("london", "uk"),
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],
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)
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def test_known_cities_map_to_their_regime(slug: str, expected: str) -> None:
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assert jurisdiction_for_city(slug) == expected
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@pytest.mark.parametrize("slug", ["lisbon", "porto", "athens", "tbilisi", "atlantis", ""])
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def test_unmapped_cities_fall_back_to_nomad(slug: str) -> None:
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assert jurisdiction_for_city(slug) == "nomad"
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def test_mapping_only_uses_regimes_the_engine_knows() -> None:
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from fire_planner.geo import CITY_JURISDICTION
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from fire_planner.scenarios import _JURISDICTION_CONSTRUCTORS
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known = set(_JURISDICTION_CONSTRUCTORS)
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assert set(CITY_JURISDICTION.values()) <= known
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assert "nomad" in known
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