|
5 | 5 | import re, math, json |
6 | 6 | from pathlib import Path |
7 | 7 | from collections import Counter |
| 8 | +from itertools import dropwhile |
8 | 9 |
|
9 | 10 | from .deals import * |
10 | 11 | from .assets import * |
@@ -43,6 +44,14 @@ def eqDataFrameByLens(a, b, l, fn=None, msg=""): |
43 | 44 | eqDataFrame(fn(da), fn(db), msg=msg) |
44 | 45 |
|
45 | 46 |
|
| 47 | +def seniorTest(x, y): |
| 48 | + xx = pd.concat([x.rename("Left"),y.rename("Right")],axis=1).fillna(0) |
| 49 | + xflags = xx["Left"]- xx["Right"] == xx["Left"] |
| 50 | + yflags = xx["Right"] - xx["Left"] == xx["Right"] |
| 51 | + rflags = xflags | yflags |
| 52 | + f = dropwhile( lambda y: not y, dropwhile(lambda x:x ,xflags)) |
| 53 | + return len(list(f)) == 0 & Counter(rflags).get("False",0) <= 1 |
| 54 | + |
46 | 55 |
|
47 | 56 | @pytest.fixture |
48 | 57 | def setup_api(): |
@@ -330,6 +339,69 @@ def test_bondGrp(setup_api): |
330 | 339 | assert grpFlow.A1.to_list()[:8] == [1000.0, 1000.0, 1000.0, 1000.0, 1000.0, 1000.0, 1000.0, 993.93] |
331 | 340 | assert grpFlow.A2.to_list()[:8] == [510.6, 436.68, 364.06, 290.75, 217.26, 143.1, 68.74, 0.0,] |
332 | 341 |
|
| 342 | + assert seniorTest(r['bonds']['A']['A2'].principal,r['bonds']['A']['A1'].principal), "A2 should be senior to A1" |
| 343 | + |
| 344 | + r = setup_api.run(bondGrp & lens.waterfall['default'][1][3].set("byName") |
| 345 | + , read=True , runAssump = []) |
| 346 | + assert seniorTest(r['bonds']['A']['A1'].principal,r['bonds']['A']['A2'].principal), "byName: A1 should be senior to A2" |
| 347 | + |
| 348 | + r = setup_api.run(bondGrp & lens.waterfall['default'][1][3].set(('reverse',"byName"))) |
| 349 | + assert seniorTest(r['bonds']['A']['A2'].principal,r['bonds']['A']['A1'].principal), "byName: A2 should be senior to A1" |
| 350 | + |
| 351 | + r = setup_api.run(bondGrp & lens.waterfall['default'][1][3].set("byProrata") |
| 352 | + , read=True , runAssump = []) |
| 353 | + allEqTo08 = (r['bonds']['A']['A2'].principal / r['bonds']['A']['A1'].principal).round(2) == 0.8 |
| 354 | + assert all(allEqTo08), "byProrata: A2 should be 0.8 of A1" |
| 355 | + |
| 356 | + r = setup_api.run(bondGrp & lens.waterfall['default'][1][3].set("byCurRate") |
| 357 | + & lens.bonds[0][1][1]["A1"]['rate'].set(0.06) |
| 358 | + , read=True , runAssump = []) |
| 359 | + assert seniorTest(r['bonds']['A']['A2'].principal,r['bonds']['A']['A1'].principal), "A2 should be senior to A1" |
| 360 | + |
| 361 | + r = setup_api.run(bondGrp & lens.waterfall['default'][1][3].set(("reverse", "byCurRate")) |
| 362 | + & lens.bonds[0][1][1]["A1"]['rate'].set(0.06) |
| 363 | + , read=True , runAssump = []) |
| 364 | + assert seniorTest(r['bonds']['A']['A1'].principal,r['bonds']['A']['A2'].principal), "A1 should be senior to A2" |
| 365 | + |
| 366 | + #test by maturity date |
| 367 | + d = bondGrp & lens.bonds[0][1][1]["A1"].modify(lambda x: tz.assoc(x,"maturityDate","2026-01-01"))\ |
| 368 | + & lens.bonds[0][1][1]["A2"].modify(lambda x: tz.assoc(x,"maturityDate","2025-01-01"))\ |
| 369 | + & lens.waterfall['default'][1][3].set("byMaturity") |
| 370 | + |
| 371 | + r = setup_api.run(d, read=True , runAssump = []) |
| 372 | + assert seniorTest(r['bonds']['A']['A2'].principal,r['bonds']['A']['A1'].principal), "A2 should be senior to A1" |
| 373 | + |
| 374 | + d = bondGrp & lens.bonds[0][1][1]["A2"].modify(lambda x: tz.assoc(x,"startDate","2020-01-02"))\ |
| 375 | + & lens.waterfall['default'][1][3].set("byStartDate") |
| 376 | + |
| 377 | + r = setup_api.run(d, read=True , runAssump = []) |
| 378 | + assert seniorTest(r['bonds']['A']['A2'].principal,r['bonds']['A']['A1'].principal), "A2 should be senior to A1" |
| 379 | + |
| 380 | +@pytest.mark.trigger |
| 381 | +def test_trigger_chgBondRate(setup_api): |
| 382 | + withTrigger = test01 & lens.trigger.set({ |
| 383 | + "BeforeDistribution":{ |
| 384 | + "changeBndRt":{"condition":[">=","2021-08-20"] |
| 385 | + ,"effects":("changeBondRate", "A1", {"floater":[0.05, "SOFR1Y",-0.02,"MonthEnd"]}, 0.12) |
| 386 | + ,"status":False |
| 387 | + ,"curable":False} |
| 388 | + } |
| 389 | + }) |
| 390 | + r = setup_api.run(withTrigger , read=True ,runAssump = [("interest",("SOFR1Y",0.04))]) |
| 391 | + assert r['bonds']['A1'].rate.to_list() == [0.07, 0.12, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02, 0.02] |
| 392 | + |
| 393 | +@pytest.mark.pool |
| 394 | +def test_pool_lease_end(setup_api): |
| 395 | + """ Lease end date """ |
| 396 | + myPool = {'assets':[l1],'cutoffDate':"2022-01-01"} |
| 397 | + r = setup_api.runPool(myPool |
| 398 | + ,poolAssump=("Pool",("Lease", None, ('days', 20) , ('byAnnualRate', 0.0), ("byExtTimes", 2)) |
| 399 | + ,None |
| 400 | + ,None |
| 401 | + ) |
| 402 | + ,read=True) |
| 403 | + assert r['PoolConsol']['flow'].index[-1] == '2024-12-15' |
| 404 | + |
333 | 405 | @pytest.mark.trigger |
334 | 406 | def test_trigger_chgBondRate(setup_api): |
335 | 407 | withTrigger = test01 & lens.trigger.set({ |
@@ -425,9 +497,6 @@ def test_collect_pool_loanlevel_cashflow(setup_api): |
425 | 497 | eqDataFrame(rAssetLevel['pool']['flow']['PoolConsol'].drop(columns=["WAC"]) |
426 | 498 | ,combined2 |
427 | 499 | ,msg="breakdown should be same with aggregation cashflow(with performance)") |
428 | | - # combined = pd.concat([rWithOsPoolFlow['pool']['flow']['PoolConsol'] |
429 | | - # ,rWithOsPoolFlow['pool_outstanding']['flow']['PoolConsol']]) |
430 | | - # eqDataFrame(complete['pool']['flow']['PoolConsol'], combined) |
431 | 500 |
|
432 | 501 | @pytest.mark.report |
433 | 502 | def test_reports(setup_api): |
@@ -466,7 +535,10 @@ def test_revolving_01(setup_api): |
466 | 535 | totalPrins = r['pool']['breakdown']['PoolConsol'] & lens.Each().Principal.collect() & lens.Each().modify(lambda x: x.sum()) |
467 | 536 | assert r['pool']['flow']['PoolConsol'].Principal.sum().round(2) == sum(totalPrins).round(2), "Breakdown cashflow should tieout with aggregated pool cashflow" |
468 | 537 |
|
469 | | - |
| 538 | +@pytest.mark.asset |
| 539 | +def test_06(setup_api): |
| 540 | + r = setup_api.run(test06 , read=True , runAssump = []) |
| 541 | + assert r['pool']['flow']['PoolConsol'].Principal.sum() == 2175, "Total principal should be 2175.0" |
470 | 542 | # @pytest.mark.analytics |
471 | 543 | # def test_rootfinder_by_formula(setup_api): |
472 | 544 | # poolPerf = ("Pool",("Mortgage",{"CDR":0.002},{"CPR":0.001},{"Rate":0.1,"Lag":18},None) |
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