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36dada9 085d910 36dada9 085d910 36dada9 b54f5bb 36dada9 b54f5bb | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 | from fastapi.testclient import TestClient
import TerraFin.interface.market_insights.data_routes as market_insights_routes
import TerraFin.interface.stock.data_routes as stock_routes
from TerraFin.analytics.analysis.risk.models import BetaEstimate
from TerraFin.data.cache.registry import reset_cache_manager
from TerraFin.interface.server import create_app
from TerraFin.interface.watchlist_service import reset_watchlist_service
def _client() -> TestClient:
reset_watchlist_service()
reset_cache_manager()
return TestClient(create_app())
def _ready_payload(symbol: str, entity_type: str) -> dict:
return {
"status": "ready",
"entityType": entity_type,
"symbol": symbol,
"asOf": "2026-04-05",
"currentPrice": 100.0,
"currentIntrinsicValue": 112.0,
"upsidePct": 12.0,
"scenarios": {
"base": {
"key": "base",
"label": "Base",
"status": "ready",
"growthShiftPct": 0.0,
"discountRateShiftBps": 0,
"terminalGrowthShiftBps": 0,
"intrinsicValue": 112.0,
"upsidePct": 12.0,
"terminalValue": 80.0,
"terminalGrowthPct": 3.0,
"terminalDiscountRatePct": 9.0,
"projectedCashFlows": [],
}
},
"assumptions": {"baseGrowthPct": 6.0},
"sensitivity": {
"discountRateShiftBps": [-100, 0, 100],
"terminalGrowthShiftBps": [-100, 0, 100],
"cells": [],
},
"rateCurve": {
"source": "test",
"asOf": "2026-04-05",
"fitRmse": 0.01,
"fallbackUsed": False,
"points": [],
"fittedPoints": [],
},
"dataQuality": {"mode": "live", "sources": ["test"]},
"warnings": [],
"methods": None,
}
def test_market_insights_sp500_dcf_endpoint_contract(monkeypatch) -> None:
monkeypatch.setattr(
market_insights_routes,
"build_sp500_dcf_payload",
lambda *args, **kwargs: {
**_ready_payload("S&P 500", "index"),
"methods": [
{
"key": "shareholder_yield",
"label": "Shareholder Yield",
"description": "Case A",
"weight": 0.5,
"currentIntrinsicValue": 105.0,
"upsidePct": 5.0,
},
{
"key": "earnings_power",
"label": "Earnings Power",
"description": "Case B",
"weight": 0.5,
"currentIntrinsicValue": 119.0,
"upsidePct": 19.0,
},
],
},
)
client = _client()
response = client.get("/market-insights/api/dcf/sp500")
assert response.status_code == 200
body = response.json()
assert body["entityType"] == "index"
assert body["symbol"] == "S&P 500"
assert body["currentIntrinsicValue"] == 112.0
assert len(body["methods"]) == 2
def test_market_insights_sp500_dcf_post_accepts_overrides(monkeypatch) -> None:
captured = {}
def _build(*args, **kwargs):
captured["overrides"] = kwargs.get("overrides")
return _ready_payload("S&P 500", "index")
monkeypatch.setattr(market_insights_routes, "build_sp500_dcf_payload", _build)
client = _client()
response = client.post(
"/market-insights/api/dcf/sp500",
json={
"baseYearEps": 240.0,
"terminalGrowthPct": 3.8,
"terminalEquityRiskPremiumPct": 4.4,
"terminalRoePct": 19.5,
"yearlyAssumptions": [
{
"yearOffset": 1,
"growthPct": 12.0,
"payoutRatioPct": 30.0,
"buybackRatioPct": 45.0,
"equityRiskPremiumPct": 5.5,
}
],
},
)
assert response.status_code == 200
assert captured["overrides"].base_year_eps == 240.0
assert captured["overrides"].terminal_growth_pct == 3.8
assert len(captured["overrides"].yearly_assumptions) == 1
def test_stock_dcf_endpoint_contract(monkeypatch) -> None:
monkeypatch.setattr(
stock_routes,
"build_stock_dcf_payload",
lambda ticker, *args, **kwargs: _ready_payload(ticker.upper(), "stock"),
)
client = _client()
response = client.get("/stock/api/dcf?ticker=aapl")
assert response.status_code == 200
body = response.json()
assert body["entityType"] == "stock"
assert body["symbol"] == "AAPL"
assert "base" in body["scenarios"]
def test_stock_dcf_endpoint_allows_insufficient_data(monkeypatch) -> None:
monkeypatch.setattr(
stock_routes,
"build_stock_dcf_payload",
lambda ticker, *args, **kwargs: {
**_ready_payload(ticker.upper(), "stock"),
"status": "insufficient_data",
"currentIntrinsicValue": None,
"upsidePct": None,
"scenarios": {},
"warnings": ["Free cash flow per share is not positive."],
},
)
client = _client()
response = client.get("/stock/api/dcf?ticker=loss")
assert response.status_code == 200
body = response.json()
assert body["status"] == "insufficient_data"
assert body["warnings"] == ["Free cash flow per share is not positive."]
def test_stock_beta_estimate_endpoint_contract(monkeypatch) -> None:
monkeypatch.setattr(
stock_routes,
"estimate_beta_5y_monthly",
lambda ticker: BetaEstimate(
symbol=ticker.upper(),
benchmark_symbol="^SPX",
benchmark_label="S&P 500",
method_id="beta_5y_monthly",
lookback_years=5,
frequency="monthly",
beta=1.11,
observations=60,
r_squared=0.42,
status="ready",
warnings=[],
),
)
monkeypatch.setattr(
stock_routes,
"estimate_beta_5y_monthly_adjusted",
lambda ticker: BetaEstimate(
symbol=ticker.upper(),
benchmark_symbol="^SPX",
benchmark_label="S&P 500",
method_id="beta_5y_monthly_adjusted",
lookback_years=5,
frequency="monthly",
beta=1.07,
observations=60,
r_squared=0.42,
status="ready",
warnings=[],
),
)
client = _client()
response = client.get("/stock/api/beta-estimate?ticker=googl")
assert response.status_code == 200
body = response.json()
assert body["symbol"] == "GOOGL"
assert body["benchmarkSymbol"] == "^SPX"
assert body["methodId"] == "beta_5y_monthly"
assert body["adjustedMethodId"] == "beta_5y_monthly_adjusted"
assert body["beta"] == 1.11
assert body["adjustedBeta"] == 1.07
assert body["observations"] == 60
assert body["rSquared"] == 0.42
def test_stock_dcf_post_accepts_overrides(monkeypatch) -> None:
captured = {}
def _build(ticker, *args, **kwargs):
captured["ticker"] = ticker
captured["overrides"] = kwargs.get("overrides")
return _ready_payload(ticker.upper(), "stock")
monkeypatch.setattr(stock_routes, "build_stock_dcf_payload", _build)
client = _client()
response = client.post(
"/stock/api/dcf?ticker=nvda",
json={
"baseCashFlowPerShare": 4.2,
"baseGrowthPct": 18.0,
"terminalGrowthPct": 3.4,
"beta": 1.3,
"equityRiskPremiumPct": 4.9,
"fcfBaseSource": "ttm",
},
)
assert response.status_code == 200
assert captured["ticker"] == "nvda"
assert captured["overrides"].base_cash_flow_per_share == 4.2
assert captured["overrides"].beta == 1.3
assert captured["overrides"].fcf_base_source == "ttm"
def test_fcf_history_endpoint_contract(monkeypatch) -> None:
monkeypatch.setattr(
stock_routes,
"build_fcf_history_payload",
lambda ticker, **kwargs: {
"ticker": ticker.upper(),
"sharesOutstanding": 100.0,
"ttmFcfPerShare": 0.85,
"ttmSource": "quarterly_ttm",
"candidates": {
"threeYearAvg": 0.43,
"latestAnnual": -0.50,
"ttm": 0.85,
},
"autoSelectedSource": "3yr_avg",
"sharesNote": "Per-year FCF/share is computed using current sharesOutstanding.",
"history": [
{"year": "2022", "fcf": 80.0, "fcfPerShare": 0.80},
{"year": "2023", "fcf": 100.0, "fcfPerShare": 1.00},
{"year": "2024", "fcf": -50.0, "fcfPerShare": -0.50},
],
},
)
client = _client()
response = client.get("/stock/api/fcf-history?ticker=moh&years=5")
assert response.status_code == 200
body = response.json()
assert body["ticker"] == "MOH"
assert body["ttmFcfPerShare"] == 0.85
assert body["candidates"]["threeYearAvg"] == 0.43
assert body["candidates"]["latestAnnual"] == -0.50
assert body["candidates"]["ttm"] == 0.85
assert body["autoSelectedSource"] == "3yr_avg"
assert len(body["history"]) == 3
assert body["history"][2]["year"] == "2024"
assert body["history"][2]["fcfPerShare"] == -0.50
def test_stock_dcf_post_accepts_turnaround_and_horizon(monkeypatch) -> None:
captured = {}
def _build(ticker, *args, **kwargs):
captured["ticker"] = ticker
captured["overrides"] = kwargs.get("overrides")
captured["projection_years"] = kwargs.get("projection_years")
return _ready_payload(ticker.upper(), "stock")
monkeypatch.setattr(stock_routes, "build_stock_dcf_payload", _build)
client = _client()
response = client.post(
"/stock/api/dcf?ticker=moh",
json={
"projectionYears": 10,
"breakevenYear": 3,
"breakevenCashFlowPerShare": 2.5,
"postBreakevenGrowthPct": 12.0,
},
)
assert response.status_code == 200
assert captured["ticker"] == "moh"
assert captured["projection_years"] == 10
assert captured["overrides"].breakeven_year == 3
assert captured["overrides"].breakeven_cash_flow_per_share == 2.5
assert captured["overrides"].post_breakeven_growth_pct == 12.0
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