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-rw-r--r--backend/app/services/data_service.py61
-rw-r--r--backend/tests/test_api.py43
2 files changed, 81 insertions, 23 deletions
diff --git a/backend/app/services/data_service.py b/backend/app/services/data_service.py
index ab06723..f913ec5 100644
--- a/backend/app/services/data_service.py
+++ b/backend/app/services/data_service.py
@@ -830,8 +830,6 @@ def compute_sector_ratio_benchmarks(symbol: str) -> dict[str, float]:
"""Median TTM ratio benchmarks from same-sector peers (FMP-backed when available)."""
sym = normalize_symbol(symbol)
fmp_key = os.getenv("FMP_API_KEY")
- if not fmp_key:
- return {}
info = get_company_info(sym)
sector_raw = info.get("sector") if isinstance(info, dict) else None
@@ -843,27 +841,44 @@ def compute_sector_ratio_benchmarks(symbol: str) -> dict[str, float]:
return {}
peer_symbols: list[str] = []
- try:
- with httpx.Client(timeout=3.5) as client:
- res = client.get(
- "https://financialmodelingprep.com/api/v3/stock-screener",
- params={
- "sector": sector,
- "isEtf": "false",
- "isActivelyTrading": "true",
- "limit": 12,
- "apikey": fmp_key,
- },
- )
- rows = res.json()
- if isinstance(rows, list):
- for row in rows:
- psym = normalize_symbol((row or {}).get("symbol"))
- if not psym or psym == sym:
- continue
- peer_symbols.append(psym)
- except Exception:
- return {}
+ if fmp_key:
+ try:
+ with httpx.Client(timeout=3.5) as client:
+ res = client.get(
+ "https://financialmodelingprep.com/api/v3/stock-screener",
+ params={
+ "sector": sector,
+ "isEtf": "false",
+ "isActivelyTrading": "true",
+ "limit": 12,
+ "apikey": fmp_key,
+ },
+ )
+ rows = res.json()
+ if isinstance(rows, list):
+ for row in rows:
+ psym = normalize_symbol((row or {}).get("symbol"))
+ if not psym or psym == sym:
+ continue
+ peer_symbols.append(psym)
+ except Exception:
+ peer_symbols = []
+
+ # No-key or FMP failure fallback: search by sector term, then filter by exact sector.
+ if not peer_symbols:
+ try:
+ candidates = search_tickers(sector)
+ except Exception:
+ candidates = []
+ target_sector = sector.lower()
+ for row in candidates[:24]:
+ psym = normalize_symbol((row or {}).get("symbol"))
+ if not psym or psym == sym:
+ continue
+ pinfo = get_company_info(psym)
+ psector = str((pinfo or {}).get("sector") or "").strip().lower()
+ if psector and psector == target_sector:
+ peer_symbols.append(psym)
if not peer_symbols:
return {}
diff --git a/backend/tests/test_api.py b/backend/tests/test_api.py
index 300069c..345c0a3 100644
--- a/backend/tests/test_api.py
+++ b/backend/tests/test_api.py
@@ -1212,6 +1212,49 @@ def test_get_ratios_sector_benchmark_fields(monkeypatch) -> None:
assert result["dividend_yield"]["vs_sector"] == pytest.approx(0.012)
+def test_compute_sector_ratio_benchmarks_without_fmp_key(monkeypatch) -> None:
+ clear_service_caches()
+ monkeypatch.delenv("FMP_API_KEY", raising=False)
+ monkeypatch.setattr(
+ data_service,
+ "get_company_info",
+ lambda symbol: (
+ {"sector": "Technology"}
+ if symbol == "AAPL"
+ else {"sector": "Technology"}
+ if symbol == "MSFT"
+ else {"sector": "Technology"}
+ if symbol == "NVDA"
+ else {"sector": "Healthcare"}
+ ),
+ )
+ monkeypatch.setattr(
+ data_service,
+ "search_tickers",
+ lambda query: [
+ {"symbol": "MSFT", "name": "Microsoft", "exchange": "NASDAQ"},
+ {"symbol": "NVDA", "name": "NVIDIA", "exchange": "NASDAQ"},
+ {"symbol": "UNH", "name": "UnitedHealth", "exchange": "NYSE"},
+ ],
+ )
+ monkeypatch.setattr(
+ data_service,
+ "compute_ttm_ratios",
+ lambda symbol: (
+ {"trailing_pe": 30.0, "current_ratio": 2.0}
+ if symbol == "MSFT"
+ else {"trailing_pe": 20.0, "current_ratio": 1.5}
+ if symbol == "NVDA"
+ else {"trailing_pe": 10.0, "current_ratio": 1.0}
+ ),
+ )
+
+ result = data_service.compute_sector_ratio_benchmarks("AAPL")
+
+ assert result["trailing_pe"] == pytest.approx(25.0)
+ assert result["current_ratio"] == pytest.approx(1.75)
+
+
def test_ticker_ratios_route(monkeypatch) -> None:
"""GET /api/tickers/{symbol}/ratios returns a valid RatiosResponse shape."""
clear_service_caches()