mirror of https://github.com/ghostfolio/ghostfolio
Browse Source
property_tracker.py: - Full SQLite backing at agent/data/properties.db (PROPERTIES_DB_PATH for tests) - :memory: support: module-level _MEMORY_CONN so data persists across calls in tests - add_property(), get_properties(), list_properties() (alias), update_property(), remove_property() (soft-delete), get_real_estate_equity(), get_total_net_worth() - _row_to_dict() computes equity/appreciation and backward-compat added_at alias - property_store_clear() does DELETE FROM (test reset) test_wealth_bridge.py (8 new tests, total now 89): - test_down_payment_austin_portfolio_94k: $94k covers Caldwell/Hays counties - test_down_payment_small_portfolio: $20k cannot afford safe 20% down anywhere - test_job_offer_seattle_not_real_raise: $180k Seattle < $120k Austin purchasing power - test_job_offer_sf_genuine_raise: $250k SF > $80k Austin purchasing power - test_job_offer_global_city_london: required fields present for any global city - test_property_crud_full_cycle: CREATE→READ→UPDATE→DELETE all verified - test_net_worth_combines_portfolio_and_property: equity + portfolio = correct total - test_teleport_fallback_works_when_api_unavailable: always returns usable data Made-with: Cursorpull/6453/head
2 changed files with 449 additions and 86 deletions
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""" |
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Tests for wealth_bridge.py, property_tracker.py (full CRUD), and teleport_api.py. |
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Tests: |
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1. test_down_payment_austin_portfolio_94k |
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portfolio_value = 94000 → can_afford_full is True for at least one market |
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2. test_down_payment_small_portfolio |
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portfolio_value = 20000 → can_afford_safe is False for all markets |
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3. test_job_offer_seattle_not_real_raise |
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$120k Austin → $180k Seattle = NOT a real raise |
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4. test_job_offer_sf_genuine_raise |
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$80k Austin → $250k SF = IS a real raise |
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5. test_job_offer_global_city_london |
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Any two-city comparison returns expected fields |
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6. test_property_crud_full_cycle |
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CREATE → READ → UPDATE → DELETE |
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7. test_net_worth_combines_portfolio_and_property |
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equity + portfolio = expected total |
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8. test_teleport_fallback_works_when_api_unavailable |
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get_city_housing_data("seattle") returns usable data |
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""" |
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import asyncio |
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import os |
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import sys |
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..")) |
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", "tools")) |
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import pytest |
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# --------------------------------------------------------------------------- |
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# Fixtures / helpers |
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# --------------------------------------------------------------------------- |
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def _set_flag(value: str): |
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os.environ["ENABLE_REAL_ESTATE"] = value |
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def _clear_flag(): |
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os.environ.pop("ENABLE_REAL_ESTATE", None) |
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# Use an in-memory SQLite for property tracker tests (no file side effects) |
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os.environ["PROPERTIES_DB_PATH"] = ":memory:" |
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# --------------------------------------------------------------------------- |
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# Test 1 — down payment power with $94k portfolio |
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# --------------------------------------------------------------------------- |
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def test_down_payment_austin_portfolio_94k(): |
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""" |
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GIVEN portfolio_value = 94000 (sufficient for Caldwell County at $237,491) |
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WHEN calculate_down_payment_power is called with no target_cities |
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THEN at least one market shows can_afford_full = True |
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and portfolio_value is preserved in the result |
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""" |
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from tools.wealth_bridge import calculate_down_payment_power |
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result = calculate_down_payment_power(94_000) |
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assert result["portfolio_value"] == 94_000 |
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assert "markets" in result |
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assert len(result["markets"]) > 0 |
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# Caldwell County median = $237,491 → 20% down = $47,498 → $94k covers it |
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affordable_full = [m for m in result["markets"] if m["can_afford_full"]] |
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assert len(affordable_full) > 0, ( |
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f"Expected at least one market with can_afford_full=True at $94k. " |
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f"Markets: {[(m['area'], m['required_down_20pct']) for m in result['markets']]}" |
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) |
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# Verify key output fields present |
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first_market = result["markets"][0] |
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assert "median_price" in first_market |
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assert "required_down_20pct" in first_market |
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assert "monthly_payment_estimate" in first_market |
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assert "rent_vs_buy_verdict" in first_market |
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# Down payment scenarios |
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assert result["down_payment_scenarios"]["full"] == 94_000 |
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assert result["down_payment_scenarios"]["conservative"] == pytest.approx(75_200) |
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assert result["down_payment_scenarios"]["safe"] == pytest.approx(56_400) |
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# --------------------------------------------------------------------------- |
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# Test 2 — small portfolio ($20k) cannot afford safe 20% down anywhere |
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# --------------------------------------------------------------------------- |
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def test_down_payment_small_portfolio(): |
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""" |
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GIVEN portfolio_value = 20000 (insufficient for 20% down on any Austin market) |
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WHEN calculate_down_payment_power is called |
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THEN can_afford_safe is False for all markets |
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""" |
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from tools.wealth_bridge import calculate_down_payment_power |
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result = calculate_down_payment_power(20_000) |
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assert result["portfolio_value"] == 20_000 |
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# safe = 20000 * 0.60 = 12000; cheapest market Caldwell = $237,491 → need $47,498 |
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# So all markets should have can_afford_safe = False |
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safe_affordable = [m for m in result["markets"] if m["can_afford_safe"]] |
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assert len(safe_affordable) == 0, ( |
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f"Expected no safe-affordable markets at $20k. " |
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f"Got: {[(m['area'], m['required_down_20pct']) for m in safe_affordable]}" |
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) |
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# --------------------------------------------------------------------------- |
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# Test 3 — Seattle $180k offer vs Austin $120k is NOT a real raise |
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# --------------------------------------------------------------------------- |
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@pytest.mark.asyncio |
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async def test_job_offer_seattle_not_real_raise(): |
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""" |
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GIVEN current: $120k in Austin (COL index 95.4) |
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offer: $180k in Seattle (COL index 150.2) |
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WHEN calculate_job_offer_affordability is called |
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THEN is_real_raise = False |
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real_raise_amount < 0 |
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breakeven_salary_needed > 180000 |
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Math: adjusted = 180000 * (95.4 / 150.2) ≈ $114,407 |
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real_raise = 114,407 - 120,000 = -$5,593 |
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""" |
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from tools.wealth_bridge import calculate_job_offer_affordability |
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result = await calculate_job_offer_affordability( |
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offer_salary=180_000, |
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offer_city="Seattle", |
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current_salary=120_000, |
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current_city="Austin", |
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) |
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assert result["is_real_raise"] is False, ( |
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f"Expected Seattle $180k to NOT be a real raise vs Austin $120k. " |
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f"Got: adjusted={result['adjusted_offer_in_current_city_terms']}" |
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) |
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assert result["real_raise_amount"] < 0, "Real raise should be negative" |
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assert result["breakeven_salary_needed"] > 180_000, ( |
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"Breakeven in Seattle should exceed the offer salary" |
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) |
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assert "verdict" in result |
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assert len(result["verdict"]) > 20 |
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assert "offer_city" in result and result["offer_city"] != "" |
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# --------------------------------------------------------------------------- |
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# Test 4 — San Francisco $250k vs Austin $80k IS a genuine raise |
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# --------------------------------------------------------------------------- |
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@pytest.mark.asyncio |
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async def test_job_offer_sf_genuine_raise(): |
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""" |
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GIVEN current: $80k in Austin (COL index 95.4) |
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offer: $250k in San Francisco (COL index 178.1) |
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WHEN calculate_job_offer_affordability is called |
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THEN is_real_raise = True |
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adjusted_offer_in_current_city_terms > 80000 |
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Math: adjusted = 250000 * (95.4 / 178.1) ≈ $133,969 |
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real_raise = 133,969 - 80,000 = +$53,969 |
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""" |
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from tools.wealth_bridge import calculate_job_offer_affordability |
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result = await calculate_job_offer_affordability( |
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offer_salary=250_000, |
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offer_city="San Francisco", |
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current_salary=80_000, |
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current_city="Austin", |
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) |
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assert result["is_real_raise"] is True, ( |
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f"Expected SF $250k to be a real raise vs Austin $80k. " |
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f"Got: adjusted={result.get('adjusted_offer_in_current_city_terms')}" |
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) |
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assert result["adjusted_offer_in_current_city_terms"] > 80_000 |
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# --------------------------------------------------------------------------- |
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# Test 5 — Global city (London) comparison returns expected fields |
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# --------------------------------------------------------------------------- |
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@pytest.mark.asyncio |
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async def test_job_offer_global_city_london(): |
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""" |
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GIVEN any salary offer in London vs Austin |
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WHEN calculate_job_offer_affordability is called |
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THEN result has all required fields and offer_city is non-empty |
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""" |
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from tools.wealth_bridge import calculate_job_offer_affordability |
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result = await calculate_job_offer_affordability( |
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offer_salary=150_000, |
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offer_city="London", |
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current_salary=120_000, |
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current_city="Austin", |
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) |
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required_fields = { |
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"current_salary", "current_city", "current_col_index", |
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"offer_salary", "offer_city", "offer_col_index", |
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"adjusted_offer_in_current_city_terms", |
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"real_raise_amount", "is_real_raise", "breakeven_salary_needed", |
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"verdict", "tax_note", "housing_comparison", |
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} |
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missing = required_fields - set(result.keys()) |
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assert not missing, f"Missing fields in job offer result: {missing}" |
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assert result["offer_city"] != "", "offer_city must be non-empty" |
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assert isinstance(result["is_real_raise"], bool) |
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assert result["current_col_index"] > 0 |
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assert result["offer_col_index"] > 0 |
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# --------------------------------------------------------------------------- |
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# Test 6 — Property CRUD full cycle (CREATE → READ → UPDATE → DELETE) |
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# --------------------------------------------------------------------------- |
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@pytest.mark.asyncio |
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async def test_property_crud_full_cycle(): |
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""" |
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GIVEN ENABLE_REAL_ESTATE=true |
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WHEN full CRUD cycle is executed |
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THEN each operation produces correct results: |
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CREATE: equity = current_value - mortgage_balance = $130,000 |
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READ: property appears in list |
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UPDATE: equity recalculates to $140,000 after value bump |
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DELETE: property no longer appears in list |
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""" |
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_set_flag("true") |
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from tools.property_tracker import ( |
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add_property, get_properties, update_property, |
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remove_property, property_store_clear, |
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) |
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property_store_clear() |
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# CREATE |
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prop_result = await add_property( |
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address="123 Test St Austin TX", |
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purchase_price=400_000, |
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current_value=450_000, |
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mortgage_balance=320_000, |
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) |
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assert prop_result["success"] is True, f"add_property failed: {prop_result}" |
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prop = prop_result["result"]["property"] |
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assert prop["equity"] == pytest.approx(130_000), ( |
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f"Expected equity=130000, got {prop['equity']}" |
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) |
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assert "id" in prop |
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prop_id = prop["id"] |
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# READ |
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list_result = await get_properties() |
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assert list_result["success"] is True |
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ids = [p["id"] for p in list_result["result"]["properties"]] |
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assert prop_id in ids, f"Added property ID {prop_id} not found in list: {ids}" |
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# UPDATE |
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updated = await update_property(prop_id, current_value=460_000) |
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assert updated["success"] is True, f"update_property failed: {updated}" |
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updated_prop = updated["result"]["property"] |
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assert updated_prop["equity"] == pytest.approx(140_000), ( |
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f"Expected equity=140000 after update, got {updated_prop['equity']}" |
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) |
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# DELETE (soft) |
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removed = await remove_property(prop_id) |
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assert removed["success"] is True, f"remove_property failed: {removed}" |
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assert removed["result"]["status"] == "removed" |
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# Verify gone from active list |
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props_after = await get_properties() |
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ids_after = [p["id"] for p in props_after["result"]["properties"]] |
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assert prop_id not in ids_after, ( |
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f"Property {prop_id} should be removed but still appears in: {ids_after}" |
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) |
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# --------------------------------------------------------------------------- |
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# Test 7 — Net worth combines portfolio value and real estate equity |
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# --------------------------------------------------------------------------- |
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@pytest.mark.asyncio |
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async def test_net_worth_combines_portfolio_and_property(): |
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""" |
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GIVEN one property: current_value=$400k, mortgage=$250k → equity=$150k |
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WHEN get_total_net_worth(portfolio_value=94000) is called |
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THEN real_estate_equity == 150000 |
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total_net_worth == 244000 |
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investment_portfolio == 94000 |
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""" |
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_set_flag("true") |
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from tools.property_tracker import ( |
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add_property, get_total_net_worth, property_store_clear, |
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) |
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property_store_clear() |
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await add_property( |
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address="456 Equity St Austin TX", |
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purchase_price=300_000, |
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current_value=400_000, |
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mortgage_balance=250_000, |
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) |
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result = await get_total_net_worth(portfolio_value=94_000) |
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assert result["success"] is True, f"get_total_net_worth failed: {result}" |
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data = result["result"] |
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assert data["real_estate_equity"] == pytest.approx(150_000), ( |
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f"Expected real_estate_equity=150000, got {data['real_estate_equity']}" |
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) |
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assert data["total_net_worth"] == pytest.approx(244_000), ( |
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f"Expected total_net_worth=244000, got {data['total_net_worth']}" |
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) |
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assert data["investment_portfolio"] == pytest.approx(94_000) |
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# --------------------------------------------------------------------------- |
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# Test 8 — Teleport fallback works when API is unavailable (or any city name) |
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# --------------------------------------------------------------------------- |
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@pytest.mark.asyncio |
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async def test_teleport_fallback_works_when_api_unavailable(): |
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""" |
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GIVEN "seattle" is requested from teleport_api |
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WHEN get_city_housing_data("seattle") is called |
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THEN result contains MedianRentMonthly and city is non-empty |
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(live API or fallback — either is acceptable) |
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""" |
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from tools.teleport_api import get_city_housing_data |
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result = await get_city_housing_data("seattle") |
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assert isinstance(result, dict), "Result must be a dict" |
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assert result.get("city", "") != "", "city field must be non-empty" |
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has_rent = "MedianRentMonthly" in result |
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has_price = "median_price" in result or "ListPrice" in result |
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assert has_rent or has_price, ( |
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f"Result must have MedianRentMonthly or median_price. Got keys: {list(result.keys())}" |
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) |
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Loading…
Reference in new issue