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TradingAgents/tests/unit/test_finnhub_integration.py

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"""Offline integration tests for the Finnhub dataflow modules.
All HTTP calls are patched with unittest.mock so no real network requests are
made and no FINNHUB_API_KEY is required. Mock responses reproduce realistic
Finnhub response shapes to exercise every significant code path.
Run with:
pytest tests/test_finnhub_integration.py -v
"""
import json
import os
import time
from unittest.mock import MagicMock, call, patch
import pytest
import requests
# ---------------------------------------------------------------------------
# Fixtures
# ---------------------------------------------------------------------------
@pytest.fixture(autouse=True)
def set_fake_api_key(monkeypatch):
"""Inject a dummy API key so every test bypasses the missing-key guard."""
monkeypatch.setenv("FINNHUB_API_KEY", "test_key")
# ---------------------------------------------------------------------------
# Shared mock-response helpers
# ---------------------------------------------------------------------------
def _json_response(payload: dict | list, status_code: int = 200) -> MagicMock:
"""Return a mock requests.Response whose .json() returns *payload*."""
resp = MagicMock()
resp.status_code = status_code
resp.text = json.dumps(payload)
resp.json.return_value = payload
resp.raise_for_status = MagicMock()
return resp
def _error_response(status_code: int, body: str = "") -> MagicMock:
"""Return a mock response with a non-2xx status code."""
resp = MagicMock()
resp.status_code = status_code
resp.text = body
resp.json.side_effect = ValueError("not json")
resp.raise_for_status.side_effect = requests.HTTPError(f"{status_code}")
return resp
# ---------------------------------------------------------------------------
# Canned response payloads
# ---------------------------------------------------------------------------
CANDLE_OK = {
"s": "ok",
"t": [1704067200, 1704153600, 1704240000], # 2024-01-01 .. 2024-01-03
"o": [185.0, 186.0, 187.0],
"h": [188.0, 189.0, 190.0],
"l": [184.0, 185.0, 186.0],
"c": [187.0, 188.0, 189.0],
"v": [50_000_000, 45_000_000, 48_000_000],
}
CANDLE_NO_DATA = {"s": "no_data"}
CANDLE_ERROR_STATUS = {"s": "error"}
QUOTE_OK = {
"c": 189.5,
"d": 1.5,
"dp": 0.8,
"h": 191.0,
"l": 187.0,
"o": 188.0,
"pc": 188.0,
"t": 1704153600,
}
QUOTE_ALL_ZERO = {"c": 0.0, "d": 0.0, "dp": 0.0, "h": 0.0, "l": 0.0, "o": 0.0, "pc": 0.0, "t": 0}
PROFILE_OK = {
"name": "Apple Inc",
"ticker": "AAPL",
"exchange": "NASDAQ/NMS (GLOBAL MARKET)",
"ipo": "1980-12-12",
"finnhubIndustry": "Technology",
"marketCapitalization": 2_900_000.0,
"shareOutstanding": 15_500.0,
"currency": "USD",
"country": "US",
"weburl": "https://www.apple.com/",
"logo": "https://static.finnhub.io/logo/87cb30d8-80df-11ea-8951-00000000092a.png",
"phone": "14089961010",
}
FINANCIALS_OK = {
"cik": "0000320193",
"data": [
{
"period": "2023-12-30",
"year": 2023,
"quarter": 1,
"filedDate": "2024-02-02",
"acceptedDate": "2024-02-02",
"form": "10-Q",
"cik": "0000320193",
"report": {
"ic": [
{
"concept": "us-gaap:Revenues",
"label": "Revenues",
"unit": "USD",
"value": 119_575_000_000,
},
{
"concept": "us-gaap:NetIncomeLoss",
"label": "Net Income",
"unit": "USD",
"value": 33_916_000_000,
},
],
"bs": [],
"cf": [],
},
}
],
}
FINANCIALS_EMPTY = {"data": []}
METRIC_OK = {
"metric": {
"peTTM": 28.5,
"peAnnual": 29.1,
"pbQuarterly": 45.2,
"pbAnnual": 46.0,
"psTTM": 7.3,
"52WeekHigh": 199.0,
"52WeekLow": 124.0,
"roeTTM": 147.0,
"roaTTM": 28.0,
"epsTTM": 6.42,
"dividendYieldIndicatedAnnual": 0.54,
"beta": 1.25,
},
"series": {},
}
METRIC_EMPTY = {"metric": {}}
COMPANY_NEWS_OK = [
{
"headline": "Apple Unveils New iPhone Model",
"source": "Reuters",
"summary": "Apple announced its latest device lineup at an event in Cupertino.",
"url": "https://example.com/news/apple-iphone",
"datetime": 1704153600,
"category": "technology",
"sentiment": 0.4,
}
]
MARKET_NEWS_OK = [
{
"headline": "Fed Signals Rate Pause Ahead",
"source": "Bloomberg",
"summary": "Federal Reserve officials indicated they may hold rates steady.",
"url": "https://example.com/news/fed",
"datetime": 1704153600,
}
]
INSIDER_TXN_OK = {
"data": [
{
"name": "Tim Cook",
"transactionCode": "S",
"share": 100_000,
"price": 185.5,
"value": 18_550_000.0,
"transactionDate": "2024-01-10",
"filingDate": "2024-01-12",
}
]
}
INSIDER_TXN_EMPTY = {"data": []}
INDICATOR_RSI_OK = {
"s": "ok",
"t": [1704067200, 1704153600],
"rsi": [62.5, 64.1],
}
INDICATOR_MACD_OK = {
"s": "ok",
"t": [1704067200, 1704153600],
"macd": [1.23, 1.45],
"macdSignal": [1.10, 1.30],
"macdHist": [0.13, 0.15],
}
INDICATOR_BBANDS_OK = {
"s": "ok",
"t": [1704067200, 1704153600],
"upperBand": [195.0, 196.0],
"middleBand": [185.0, 186.0],
"lowerBand": [175.0, 176.0],
}
INDICATOR_NO_DATA = {"s": "no_data", "t": []}
# ---------------------------------------------------------------------------
# 1. finnhub_common — Exception hierarchy
# ---------------------------------------------------------------------------
class TestFinnhubExceptionHierarchy:
"""All custom exceptions must be proper subclasses of FinnhubError."""
def test_finnhub_error_is_exception(self):
from tradingagents.dataflows.finnhub_common import FinnhubError
assert issubclass(FinnhubError, Exception)
def test_api_key_invalid_error_is_finnhub_error(self):
from tradingagents.dataflows.finnhub_common import APIKeyInvalidError, FinnhubError
assert issubclass(APIKeyInvalidError, FinnhubError)
def test_rate_limit_error_is_finnhub_error(self):
from tradingagents.dataflows.finnhub_common import FinnhubError, RateLimitError
assert issubclass(RateLimitError, FinnhubError)
def test_third_party_error_is_finnhub_error(self):
from tradingagents.dataflows.finnhub_common import FinnhubError, ThirdPartyError
assert issubclass(ThirdPartyError, FinnhubError)
def test_third_party_timeout_error_is_finnhub_error(self):
from tradingagents.dataflows.finnhub_common import FinnhubError, ThirdPartyTimeoutError
assert issubclass(ThirdPartyTimeoutError, FinnhubError)
def test_third_party_parse_error_is_finnhub_error(self):
from tradingagents.dataflows.finnhub_common import FinnhubError, ThirdPartyParseError
assert issubclass(ThirdPartyParseError, FinnhubError)
def test_all_exceptions_can_be_raised_and_caught(self):
from tradingagents.dataflows.finnhub_common import (
APIKeyInvalidError,
FinnhubError,
RateLimitError,
ThirdPartyError,
ThirdPartyParseError,
ThirdPartyTimeoutError,
)
for exc_class in (
APIKeyInvalidError,
RateLimitError,
ThirdPartyError,
ThirdPartyTimeoutError,
ThirdPartyParseError,
):
with pytest.raises(FinnhubError):
raise exc_class("test message")
# ---------------------------------------------------------------------------
# 2. finnhub_common — get_api_key
# ---------------------------------------------------------------------------
class TestGetApiKey:
"""get_api_key() reads from env; raises APIKeyInvalidError when absent."""
def test_returns_key_when_set(self):
from tradingagents.dataflows.finnhub_common import get_api_key
# autouse fixture already sets FINNHUB_API_KEY=test_key
assert get_api_key() == "test_key"
def test_raises_when_env_var_missing(self, monkeypatch):
from tradingagents.dataflows.finnhub_common import APIKeyInvalidError, get_api_key
monkeypatch.delenv("FINNHUB_API_KEY", raising=False)
with pytest.raises(APIKeyInvalidError, match="FINNHUB_API_KEY"):
get_api_key()
def test_raises_when_env_var_empty_string(self, monkeypatch):
from tradingagents.dataflows.finnhub_common import APIKeyInvalidError, get_api_key
monkeypatch.setenv("FINNHUB_API_KEY", "")
with pytest.raises(APIKeyInvalidError):
get_api_key()
# ---------------------------------------------------------------------------
# 3. finnhub_common — _make_api_request HTTP status mapping
# ---------------------------------------------------------------------------
class TestMakeApiRequest:
"""_make_api_request maps HTTP status codes to the correct exceptions."""
_PATCH_TARGET = "tradingagents.dataflows.finnhub_common.requests.get"
def test_success_returns_dict(self):
from tradingagents.dataflows.finnhub_common import _make_api_request
with patch(self._PATCH_TARGET, return_value=_json_response({"foo": "bar"})):
result = _make_api_request("quote", {"symbol": "AAPL"})
assert result == {"foo": "bar"}
def test_http_401_raises_api_key_invalid_error(self):
from tradingagents.dataflows.finnhub_common import APIKeyInvalidError, _make_api_request
with patch(self._PATCH_TARGET, return_value=_error_response(401, "Unauthorized")):
with pytest.raises(APIKeyInvalidError):
_make_api_request("quote", {"symbol": "AAPL"})
def test_http_403_raises_api_key_invalid_error(self):
from tradingagents.dataflows.finnhub_common import APIKeyInvalidError, _make_api_request
with patch(self._PATCH_TARGET, return_value=_error_response(403, "Forbidden")):
with pytest.raises(APIKeyInvalidError):
_make_api_request("quote", {"symbol": "AAPL"})
def test_http_429_raises_rate_limit_error(self):
from tradingagents.dataflows.finnhub_common import RateLimitError, _make_api_request
with patch(self._PATCH_TARGET, return_value=_error_response(429, "Too Many Requests")):
with pytest.raises(RateLimitError):
_make_api_request("quote", {"symbol": "AAPL"})
def test_http_500_raises_third_party_error(self):
from tradingagents.dataflows.finnhub_common import ThirdPartyError, _make_api_request
with patch(self._PATCH_TARGET, return_value=_error_response(500, "Internal Server Error")):
with pytest.raises(ThirdPartyError):
_make_api_request("quote", {"symbol": "AAPL"})
def test_timeout_raises_third_party_timeout_error(self):
from tradingagents.dataflows.finnhub_common import (
ThirdPartyTimeoutError,
_make_api_request,
)
with patch(
self._PATCH_TARGET, side_effect=requests.exceptions.Timeout("timed out")
):
with pytest.raises(ThirdPartyTimeoutError):
_make_api_request("quote", {"symbol": "AAPL"})
def test_connection_error_raises_third_party_error(self):
from tradingagents.dataflows.finnhub_common import ThirdPartyError, _make_api_request
with patch(
self._PATCH_TARGET,
side_effect=requests.exceptions.ConnectionError("connection refused"),
):
with pytest.raises(ThirdPartyError):
_make_api_request("quote", {"symbol": "AAPL"})
def test_bad_json_raises_third_party_parse_error(self):
from tradingagents.dataflows.finnhub_common import (
ThirdPartyParseError,
_make_api_request,
)
bad_resp = MagicMock()
bad_resp.status_code = 200
bad_resp.text = "not-json!!"
bad_resp.json.side_effect = ValueError("invalid json")
bad_resp.raise_for_status = MagicMock()
with patch(self._PATCH_TARGET, return_value=bad_resp):
with pytest.raises(ThirdPartyParseError):
_make_api_request("quote", {"symbol": "AAPL"})
def test_token_is_injected_into_request_params(self):
"""The API key must be passed as 'token' in the query params."""
from tradingagents.dataflows.finnhub_common import _make_api_request
captured = {}
def capture(url, params, **kwargs):
captured.update(params)
return _json_response({})
with patch(self._PATCH_TARGET, side_effect=capture):
_make_api_request("quote", {"symbol": "AAPL"})
assert captured.get("token") == "test_key"
# ---------------------------------------------------------------------------
# 4. finnhub_common — utility helpers
# ---------------------------------------------------------------------------
class TestToUnixTimestamp:
"""_to_unix_timestamp converts YYYY-MM-DD strings to integer Unix timestamps."""
def test_known_date_returns_integer(self):
from tradingagents.dataflows.finnhub_common import _to_unix_timestamp
result = _to_unix_timestamp("2024-01-15")
assert isinstance(result, int)
# 2024-01-15 00:00 UTC+0 is 1705276800; local TZ may shift ±hours but
# the date portion is always in range [1705190400, 1705363200]
assert 1705190400 <= result <= 1705363200
def test_invalid_format_raises_value_error(self):
from tradingagents.dataflows.finnhub_common import _to_unix_timestamp
with pytest.raises(ValueError):
_to_unix_timestamp("15-01-2024")
def test_non_date_string_raises_value_error(self):
from tradingagents.dataflows.finnhub_common import _to_unix_timestamp
with pytest.raises(ValueError):
_to_unix_timestamp("not-a-date")
class TestFmtPct:
"""_fmt_pct formats floats as signed percentage strings."""
def test_positive_float(self):
from tradingagents.dataflows.finnhub_common import _fmt_pct
assert _fmt_pct(1.23) == "+1.23%"
def test_negative_float(self):
from tradingagents.dataflows.finnhub_common import _fmt_pct
assert _fmt_pct(-4.56) == "-4.56%"
def test_zero(self):
from tradingagents.dataflows.finnhub_common import _fmt_pct
assert _fmt_pct(0.0) == "+0.00%"
def test_none_returns_na(self):
from tradingagents.dataflows.finnhub_common import _fmt_pct
assert _fmt_pct(None) == "N/A"
# ---------------------------------------------------------------------------
# 5. finnhub_stock — get_stock_candles
# ---------------------------------------------------------------------------
class TestGetStockCandles:
"""get_stock_candles returns a CSV string or raises FinnhubError."""
_PATCH_TARGET = "tradingagents.dataflows.finnhub_common.requests.get"
def test_ok_response_produces_csv_with_header(self):
from tradingagents.dataflows.finnhub_stock import get_stock_candles
with patch(self._PATCH_TARGET, return_value=_json_response(CANDLE_OK)):
result = get_stock_candles("AAPL", "2024-01-01", "2024-01-03")
lines = result.strip().split("\n")
assert lines[0] == "timestamp,open,high,low,close,volume"
assert len(lines) >= 2, "Expected at least one data row"
def test_ok_response_data_rows_contain_price(self):
from tradingagents.dataflows.finnhub_stock import get_stock_candles
with patch(self._PATCH_TARGET, return_value=_json_response(CANDLE_OK)):
result = get_stock_candles("AAPL", "2024-01-01", "2024-01-03")
# Each data row should have 6 comma-separated fields
data_rows = result.strip().split("\n")[1:]
for row in data_rows:
fields = row.split(",")
assert len(fields) == 6
def test_no_data_status_raises_finnhub_error(self):
from tradingagents.dataflows.finnhub_common import FinnhubError
from tradingagents.dataflows.finnhub_stock import get_stock_candles
with patch(self._PATCH_TARGET, return_value=_json_response(CANDLE_NO_DATA)):
with pytest.raises(FinnhubError):
get_stock_candles("INVALID", "2024-01-01", "2024-01-03")
def test_error_status_raises_finnhub_error(self):
from tradingagents.dataflows.finnhub_common import FinnhubError
from tradingagents.dataflows.finnhub_stock import get_stock_candles
with patch(self._PATCH_TARGET, return_value=_json_response(CANDLE_ERROR_STATUS)):
with pytest.raises(FinnhubError):
get_stock_candles("AAPL", "2024-01-01", "2024-01-03")
def test_ok_with_empty_timestamps_raises_finnhub_error(self):
from tradingagents.dataflows.finnhub_common import FinnhubError
from tradingagents.dataflows.finnhub_stock import get_stock_candles
empty_candle = {"s": "ok", "t": [], "o": [], "h": [], "l": [], "c": [], "v": []}
with patch(self._PATCH_TARGET, return_value=_json_response(empty_candle)):
with pytest.raises(FinnhubError):
get_stock_candles("AAPL", "2024-01-01", "2024-01-03")
# ---------------------------------------------------------------------------
# 6. finnhub_stock — get_quote
# ---------------------------------------------------------------------------
class TestGetQuote:
"""get_quote returns a normalised dict or raises FinnhubError."""
_PATCH_TARGET = "tradingagents.dataflows.finnhub_common.requests.get"
def test_ok_response_returns_expected_keys(self):
from tradingagents.dataflows.finnhub_stock import get_quote
with patch(self._PATCH_TARGET, return_value=_json_response(QUOTE_OK)):
result = get_quote("AAPL")
expected_keys = {
"symbol", "current_price", "change", "change_percent",
"high", "low", "open", "prev_close", "timestamp",
}
assert expected_keys == set(result.keys())
def test_ok_response_symbol_field_is_correct(self):
from tradingagents.dataflows.finnhub_stock import get_quote
with patch(self._PATCH_TARGET, return_value=_json_response(QUOTE_OK)):
result = get_quote("AAPL")
assert result["symbol"] == "AAPL"
def test_ok_response_prices_are_floats(self):
from tradingagents.dataflows.finnhub_stock import get_quote
with patch(self._PATCH_TARGET, return_value=_json_response(QUOTE_OK)):
result = get_quote("AAPL")
assert isinstance(result["current_price"], float)
assert isinstance(result["change_percent"], float)
def test_all_zero_response_raises_finnhub_error(self):
from tradingagents.dataflows.finnhub_common import FinnhubError
from tradingagents.dataflows.finnhub_stock import get_quote
with patch(self._PATCH_TARGET, return_value=_json_response(QUOTE_ALL_ZERO)):
with pytest.raises(FinnhubError, match="all-zero"):
get_quote("BADINVLDSYM")
def test_timestamp_absent_uses_now_string(self):
"""When t=0 (no timestamp), the fallback is a formatted 'now' string."""
from tradingagents.dataflows.finnhub_stock import get_quote
quote_no_ts = dict(QUOTE_OK)
quote_no_ts["t"] = 0
with patch(self._PATCH_TARGET, return_value=_json_response(quote_no_ts)):
result = get_quote("AAPL")
# Timestamp must be a non-empty string
assert isinstance(result["timestamp"], str)
assert result["timestamp"]
# ---------------------------------------------------------------------------
# 7. finnhub_fundamentals — get_company_profile
# ---------------------------------------------------------------------------
class TestGetCompanyProfile:
"""get_company_profile returns a formatted string or raises FinnhubError."""
_PATCH_TARGET = "tradingagents.dataflows.finnhub_common.requests.get"
def test_ok_response_contains_company_name(self):
from tradingagents.dataflows.finnhub_fundamentals import get_company_profile
with patch(self._PATCH_TARGET, return_value=_json_response(PROFILE_OK)):
result = get_company_profile("AAPL")
assert "Apple Inc" in result
def test_ok_response_contains_symbol(self):
from tradingagents.dataflows.finnhub_fundamentals import get_company_profile
with patch(self._PATCH_TARGET, return_value=_json_response(PROFILE_OK)):
result = get_company_profile("AAPL")
assert "AAPL" in result
def test_ok_response_contains_exchange(self):
from tradingagents.dataflows.finnhub_fundamentals import get_company_profile
with patch(self._PATCH_TARGET, return_value=_json_response(PROFILE_OK)):
result = get_company_profile("AAPL")
assert "NASDAQ" in result
def test_empty_profile_raises_finnhub_error(self):
from tradingagents.dataflows.finnhub_common import FinnhubError
from tradingagents.dataflows.finnhub_fundamentals import get_company_profile
with patch(self._PATCH_TARGET, return_value=_json_response({})):
with pytest.raises(FinnhubError):
get_company_profile("BADINVLDSYM")
def test_result_is_multiline_string(self):
from tradingagents.dataflows.finnhub_fundamentals import get_company_profile
with patch(self._PATCH_TARGET, return_value=_json_response(PROFILE_OK)):
result = get_company_profile("AAPL")
assert "\n" in result
# ---------------------------------------------------------------------------
# 8. finnhub_fundamentals — get_financial_statements
# ---------------------------------------------------------------------------
class TestGetFinancialStatements:
"""get_financial_statements returns formatted text or raises on errors."""
_PATCH_TARGET = "tradingagents.dataflows.finnhub_common.requests.get"
def test_income_statement_ok_has_header(self):
from tradingagents.dataflows.finnhub_fundamentals import get_financial_statements
with patch(self._PATCH_TARGET, return_value=_json_response(FINANCIALS_OK)):
result = get_financial_statements("AAPL", "income_statement", "quarterly")
# Header should mention the statement type and symbol
assert "AAPL" in result
assert "Income Statement" in result or "income_statement" in result.lower()
def test_income_statement_ok_contains_line_items(self):
from tradingagents.dataflows.finnhub_fundamentals import get_financial_statements
with patch(self._PATCH_TARGET, return_value=_json_response(FINANCIALS_OK)):
result = get_financial_statements("AAPL", "income_statement", "quarterly")
assert "Revenues" in result or "Net Income" in result
def test_empty_data_list_raises_finnhub_error(self):
from tradingagents.dataflows.finnhub_common import FinnhubError
from tradingagents.dataflows.finnhub_fundamentals import get_financial_statements
with patch(self._PATCH_TARGET, return_value=_json_response(FINANCIALS_EMPTY)):
with pytest.raises(FinnhubError, match="No financial reports"):
get_financial_statements("AAPL", "income_statement", "quarterly")
def test_invalid_statement_type_raises_value_error(self):
from tradingagents.dataflows.finnhub_fundamentals import get_financial_statements
with pytest.raises(ValueError, match="Invalid statement_type"):
get_financial_statements("AAPL", "invalid_type", "quarterly") # type: ignore[arg-type]
def test_balance_sheet_and_cash_flow_accepted(self):
"""Both 'balance_sheet' and 'cash_flow' are valid statement_type values."""
from tradingagents.dataflows.finnhub_fundamentals import get_financial_statements
# Build a payload with bs and cf data present
bs_payload = {
"data": [
{
"period": "2023-12-30",
"year": 2023,
"quarter": 1,
"filedDate": "2024-02-02",
"acceptedDate": "2024-02-02",
"form": "10-Q",
"cik": "0000320193",
"report": {
"bs": [{"concept": "us-gaap:Assets", "label": "Assets", "unit": "USD", "value": 352_583_000_000}],
"ic": [],
"cf": [],
},
}
]
}
with patch(self._PATCH_TARGET, return_value=_json_response(bs_payload)):
result = get_financial_statements("AAPL", "balance_sheet", "annual")
assert "AAPL" in result
# ---------------------------------------------------------------------------
# 9. finnhub_fundamentals — get_basic_financials
# ---------------------------------------------------------------------------
class TestGetBasicFinancials:
"""get_basic_financials returns formatted metrics or raises FinnhubError."""
_PATCH_TARGET = "tradingagents.dataflows.finnhub_common.requests.get"
def test_ok_response_contains_valuation_header(self):
from tradingagents.dataflows.finnhub_fundamentals import get_basic_financials
with patch(self._PATCH_TARGET, return_value=_json_response(METRIC_OK)):
result = get_basic_financials("AAPL")
assert "Valuation" in result
def test_ok_response_contains_symbol(self):
from tradingagents.dataflows.finnhub_fundamentals import get_basic_financials
with patch(self._PATCH_TARGET, return_value=_json_response(METRIC_OK)):
result = get_basic_financials("AAPL")
assert "AAPL" in result
def test_ok_response_has_pe_metric(self):
from tradingagents.dataflows.finnhub_fundamentals import get_basic_financials
with patch(self._PATCH_TARGET, return_value=_json_response(METRIC_OK)):
result = get_basic_financials("AAPL")
assert "P/E" in result
def test_empty_metric_raises_finnhub_error(self):
from tradingagents.dataflows.finnhub_common import FinnhubError
from tradingagents.dataflows.finnhub_fundamentals import get_basic_financials
with patch(self._PATCH_TARGET, return_value=_json_response(METRIC_EMPTY)):
with pytest.raises(FinnhubError):
get_basic_financials("BADINVLDSYM")
def test_missing_optional_metrics_rendered_as_na(self):
"""Metrics absent from the payload should appear as 'N/A' in output."""
from tradingagents.dataflows.finnhub_fundamentals import get_basic_financials
sparse_metric = {"metric": {"peTTM": 25.0}} # all others absent
with patch(self._PATCH_TARGET, return_value=_json_response(sparse_metric)):
result = get_basic_financials("AAPL")
assert "N/A" in result
# ---------------------------------------------------------------------------
# ---------------------------------------------------------------------------
# 10.5 finnhub_news — _fetch_company_news_data helper
# ---------------------------------------------------------------------------
class TestFetchCompanyNewsData:
"""_fetch_company_news_data handles errors by returning an empty list."""
_PATCH_TARGET = "tradingagents.dataflows.finnhub_news._make_api_request"
def test_fetch_company_news_data_api_error_returns_empty_list(self):
from tradingagents.dataflows.finnhub_news import _fetch_company_news_data
with patch(self._PATCH_TARGET, side_effect=Exception("API failure")):
result = _fetch_company_news_data("AAPL", {"symbol": "AAPL"})
assert result == []
def test_fetch_company_news_data_invalid_response_type_returns_empty_list(self):
from tradingagents.dataflows.finnhub_news import _fetch_company_news_data
with patch(self._PATCH_TARGET, return_value={"error": "Not a list"}):
result = _fetch_company_news_data("AAPL", {"symbol": "AAPL"})
assert result == []
# 10. finnhub_news — get_company_news
# ---------------------------------------------------------------------------
class TestGetCompanyNews:
"""get_company_news returns formatted markdown or 'no news' fallback."""
_PATCH_TARGET = "tradingagents.dataflows.finnhub_common.requests.get"
def test_ok_response_contains_headline(self):
from tradingagents.dataflows.finnhub_news import get_company_news
with patch(self._PATCH_TARGET, return_value=_json_response(COMPANY_NEWS_OK)):
result = get_company_news("AAPL", "2024-01-01", "2024-01-10")
assert "Apple Unveils New iPhone Model" in result
def test_ok_response_contains_source(self):
from tradingagents.dataflows.finnhub_news import get_company_news
with patch(self._PATCH_TARGET, return_value=_json_response(COMPANY_NEWS_OK)):
result = get_company_news("AAPL", "2024-01-01", "2024-01-10")
assert "Reuters" in result
def test_empty_articles_list_returns_no_news_message(self):
from tradingagents.dataflows.finnhub_news import get_company_news
with patch(self._PATCH_TARGET, return_value=_json_response([])):
result = get_company_news("AAPL", "2024-01-01", "2024-01-10")
assert "No news articles" in result
def test_result_has_symbol_in_header(self):
from tradingagents.dataflows.finnhub_news import get_company_news
with patch(self._PATCH_TARGET, return_value=_json_response(COMPANY_NEWS_OK)):
result = get_company_news("AAPL", "2024-01-01", "2024-01-10")
assert "AAPL" in result
# ---------------------------------------------------------------------------
# 11. finnhub_news — get_market_news
# ---------------------------------------------------------------------------
class TestGetMarketNews:
"""get_market_news returns formatted news or raises on invalid categories."""
_PATCH_TARGET = "tradingagents.dataflows.finnhub_common.requests.get"
def test_general_category_contains_market_news_header(self):
from tradingagents.dataflows.finnhub_news import get_market_news
with patch(self._PATCH_TARGET, return_value=_json_response(MARKET_NEWS_OK)):
result = get_market_news("general")
assert "Market News" in result
def test_valid_categories_accepted(self):
"""All four valid categories should not raise ValueError."""
from tradingagents.dataflows.finnhub_news import get_market_news
for category in ("general", "forex", "crypto", "merger"):
with patch(self._PATCH_TARGET, return_value=_json_response([])):
result = get_market_news(category) # should not raise
assert isinstance(result, str)
def test_invalid_category_raises_value_error(self):
from tradingagents.dataflows.finnhub_news import get_market_news
with pytest.raises(ValueError, match="Invalid category"):
get_market_news("sports") # type: ignore[arg-type]
def test_ok_response_contains_headline(self):
from tradingagents.dataflows.finnhub_news import get_market_news
with patch(self._PATCH_TARGET, return_value=_json_response(MARKET_NEWS_OK)):
result = get_market_news("general")
assert "Fed Signals Rate Pause Ahead" in result
# ---------------------------------------------------------------------------
# 12. finnhub_news — get_insider_transactions
# ---------------------------------------------------------------------------
class TestGetInsiderTransactions:
"""get_insider_transactions returns a markdown table or 'no transactions' fallback."""
_PATCH_TARGET = "tradingagents.dataflows.finnhub_common.requests.get"
def test_ok_response_has_markdown_table_header(self):
from tradingagents.dataflows.finnhub_news import get_insider_transactions
with patch(self._PATCH_TARGET, return_value=_json_response(INSIDER_TXN_OK)):
result = get_insider_transactions("AAPL")
# Markdown table header row
assert "| Name |" in result or "|Name|" in result.replace(" ", "")
def test_ok_response_contains_executive_name(self):
from tradingagents.dataflows.finnhub_news import get_insider_transactions
with patch(self._PATCH_TARGET, return_value=_json_response(INSIDER_TXN_OK)):
result = get_insider_transactions("AAPL")
assert "Tim Cook" in result
def test_ok_response_transaction_code_mapped_to_label(self):
"""Transaction code 'S' should be rendered as 'Sell', not 'S'."""
from tradingagents.dataflows.finnhub_news import get_insider_transactions
with patch(self._PATCH_TARGET, return_value=_json_response(INSIDER_TXN_OK)):
result = get_insider_transactions("AAPL")
assert "Sell" in result
def test_empty_transactions_returns_no_transactions_message(self):
from tradingagents.dataflows.finnhub_news import get_insider_transactions
with patch(self._PATCH_TARGET, return_value=_json_response(INSIDER_TXN_EMPTY)):
result = get_insider_transactions("AAPL")
assert "No insider transactions" in result
def test_result_contains_symbol(self):
from tradingagents.dataflows.finnhub_news import get_insider_transactions
with patch(self._PATCH_TARGET, return_value=_json_response(INSIDER_TXN_OK)):
result = get_insider_transactions("AAPL")
assert "AAPL" in result
def test_invalid_transaction_values_fall_back_to_raw_strings(self):
"""Testing the error path at line 220 where float conversion fails."""
from tradingagents.dataflows.finnhub_news import get_insider_transactions
invalid_txn = {
"data": [
{
"name": "Test Exec",
"transactionCode": "P",
"share": "invalid_share",
"price": "invalid_price",
"value": "invalid_value",
"transactionDate": "2024-01-10",
"filingDate": "2024-01-12",
}
]
}
with patch(self._PATCH_TARGET, return_value=_json_response(invalid_txn)):
result = get_insider_transactions("AAPL")
assert "invalid_share" in result
assert "invalid_price" in result
assert "invalid_value" in result
# ---------------------------------------------------------------------------
# 13. finnhub_scanner — get_market_movers_finnhub
# ---------------------------------------------------------------------------
def _make_quote_side_effect(symbols_quotes: dict) -> callable:
"""Build a side_effect for _rate_limited_request that returns quote data per symbol."""
def side_effect(endpoint: str, params: dict) -> dict:
symbol = params.get("symbol", "")
if symbol in symbols_quotes:
return symbols_quotes[symbol]
# Default: valid but flat quote so it is not skipped
return {"c": 100.0, "d": 0.0, "dp": 0.0, "h": 101.0, "l": 99.0, "o": 100.0, "pc": 100.0, "t": 1704153600}
return side_effect
class TestGetMarketMoversFinnhub:
"""get_market_movers_finnhub returns a sorted markdown table."""
_RATE_PATCH = "tradingagents.dataflows.finnhub_scanner._rate_limited_request"
def _build_movers_side_effect(self) -> callable:
"""Return a mock that assigns unique change% values to the first few symbols."""
quotes_by_symbol = {
"AAPL": {"c": 200.0, "d": 5.0, "dp": 2.5, "h": 202.0, "l": 198.0, "o": 195.0, "pc": 195.0, "t": 1704153600},
"MSFT": {"c": 400.0, "d": 3.0, "dp": 0.75, "h": 402.0, "l": 398.0, "o": 397.0, "pc": 397.0, "t": 1704153600},
"NVDA": {"c": 600.0, "d": 30.0, "dp": 5.26, "h": 605.0, "l": 595.0, "o": 570.0, "pc": 570.0, "t": 1704153600},
}
return _make_quote_side_effect(quotes_by_symbol)
def test_gainers_returns_markdown_table(self):
from tradingagents.dataflows.finnhub_scanner import get_market_movers_finnhub
with patch(self._RATE_PATCH, side_effect=self._build_movers_side_effect()):
result = get_market_movers_finnhub("gainers")
assert "| Symbol |" in result or "|Symbol|" in result.replace(" ", "")
def test_gainers_sorted_highest_first(self):
"""The first data row after the header should be the top gainer."""
from tradingagents.dataflows.finnhub_scanner import get_market_movers_finnhub
with patch(self._RATE_PATCH, side_effect=self._build_movers_side_effect()):
result = get_market_movers_finnhub("gainers")
# NVDA has the highest dp (+5.26%) so it must appear before AAPL (+2.5%)
nvda_pos = result.find("NVDA")
aapl_pos = result.find("AAPL")
assert nvda_pos != -1
assert nvda_pos < aapl_pos
def test_losers_sorted_lowest_first(self):
from tradingagents.dataflows.finnhub_scanner import get_market_movers_finnhub
losers_quotes = {
"AAPL": {"c": 180.0, "d": -5.0, "dp": -2.7, "h": 186.0, "l": 179.0, "o": 185.0, "pc": 185.0, "t": 1704153600},
"MSFT": {"c": 390.0, "d": -1.0, "dp": -0.26, "h": 392.0, "l": 389.0, "o": 391.0, "pc": 391.0, "t": 1704153600},
}
with patch(self._RATE_PATCH, side_effect=_make_quote_side_effect(losers_quotes)):
result = get_market_movers_finnhub("losers")
aapl_pos = result.find("AAPL")
msft_pos = result.find("MSFT")
assert aapl_pos != -1
assert aapl_pos < msft_pos
def test_invalid_category_raises_value_error(self):
from tradingagents.dataflows.finnhub_scanner import get_market_movers_finnhub
with pytest.raises(ValueError, match="Invalid category"):
get_market_movers_finnhub("unknown_cat")
def test_all_quotes_fail_raises_finnhub_error(self):
from tradingagents.dataflows.finnhub_common import FinnhubError
from tradingagents.dataflows.finnhub_scanner import get_market_movers_finnhub
with patch(
self._RATE_PATCH,
side_effect=FinnhubError("quota exceeded"),
):
with pytest.raises(FinnhubError, match="All .* quote fetches failed"):
get_market_movers_finnhub("gainers")
# ---------------------------------------------------------------------------
# 14. finnhub_scanner — get_market_indices_finnhub
# ---------------------------------------------------------------------------
class TestGetMarketIndicesFinnhub:
"""get_market_indices_finnhub builds a table of index levels."""
_RATE_PATCH = "tradingagents.dataflows.finnhub_scanner._rate_limited_request"
def test_output_contains_major_market_indices_header(self):
from tradingagents.dataflows.finnhub_scanner import get_market_indices_finnhub
with patch(self._RATE_PATCH, return_value=QUOTE_OK):
result = get_market_indices_finnhub()
assert "Major Market Indices" in result
def test_output_contains_spy_proxy_label(self):
from tradingagents.dataflows.finnhub_scanner import get_market_indices_finnhub
with patch(self._RATE_PATCH, return_value=QUOTE_OK):
result = get_market_indices_finnhub()
assert "SPY" in result or "S&P 500" in result
def test_vix_row_has_no_dollar_sign(self):
"""VIX is unitless — it must not be prefixed with '$'."""
from tradingagents.dataflows.finnhub_scanner import get_market_indices_finnhub
with patch(self._RATE_PATCH, return_value=QUOTE_OK):
result = get_market_indices_finnhub()
lines = result.split("\n")
vix_lines = [l for l in lines if "VIX" in l]
assert vix_lines, "Expected a VIX row"
# The VIX price cell must not start with '$'
for vix_line in vix_lines:
cells = [c.strip() for c in vix_line.split("|") if c.strip()]
# cells[1] is the Price cell for the VIX row
if len(cells) >= 2:
assert not cells[1].startswith("$"), f"VIX price should not have $: {cells[1]}"
def test_all_fetches_fail_raises_finnhub_error(self):
from tradingagents.dataflows.finnhub_common import FinnhubError
from tradingagents.dataflows.finnhub_scanner import get_market_indices_finnhub
with patch(
self._RATE_PATCH,
side_effect=FinnhubError("network failure"),
):
with pytest.raises(FinnhubError, match="All market index fetches failed"):
get_market_indices_finnhub()
# ---------------------------------------------------------------------------
# 15. finnhub_scanner — get_sector_performance_finnhub
# ---------------------------------------------------------------------------
class TestGetSectorPerformanceFinnhub:
"""get_sector_performance_finnhub returns sector ETF data."""
_RATE_PATCH = "tradingagents.dataflows.finnhub_scanner._rate_limited_request"
def test_output_contains_sector_performance_header(self):
from tradingagents.dataflows.finnhub_scanner import get_sector_performance_finnhub
with patch(self._RATE_PATCH, return_value=QUOTE_OK):
result = get_sector_performance_finnhub()
assert "Sector Performance" in result
def test_output_contains_at_least_one_sector_etf(self):
from tradingagents.dataflows.finnhub_scanner import get_sector_performance_finnhub
with patch(self._RATE_PATCH, return_value=QUOTE_OK):
result = get_sector_performance_finnhub()
# At least one known sector ETF ticker should appear
etf_tickers = {"XLK", "XLV", "XLF", "XLE", "XLY", "XLP", "XLI", "XLB", "XLRE", "XLU", "XLC"}
assert any(ticker in result for ticker in etf_tickers)
def test_all_sectors_fail_raises_finnhub_error(self):
from tradingagents.dataflows.finnhub_common import FinnhubError
from tradingagents.dataflows.finnhub_scanner import get_sector_performance_finnhub
with patch(
self._RATE_PATCH,
side_effect=FinnhubError("all failed"),
):
with pytest.raises(FinnhubError):
get_sector_performance_finnhub()
# ---------------------------------------------------------------------------
# 16. finnhub_scanner — get_topic_news_finnhub
# ---------------------------------------------------------------------------
class TestGetTopicNewsFinnhub:
"""get_topic_news_finnhub maps topic strings to Finnhub categories."""
_RATE_PATCH = "tradingagents.dataflows.finnhub_scanner._rate_limited_request"
def test_crypto_topic_output_contains_topic(self):
from tradingagents.dataflows.finnhub_scanner import get_topic_news_finnhub
with patch(self._RATE_PATCH, return_value=MARKET_NEWS_OK):
result = get_topic_news_finnhub("crypto")
assert "crypto" in result.lower()
def test_crypto_topic_maps_to_crypto_category(self):
"""Verify the request is made with category='crypto'."""
from tradingagents.dataflows.finnhub_scanner import get_topic_news_finnhub
captured_params: list[dict] = []
def capture(endpoint, params):
captured_params.append(dict(params))
return []
with patch(self._RATE_PATCH, side_effect=capture):
get_topic_news_finnhub("crypto")
assert any(p.get("category") == "crypto" for p in captured_params)
def test_unknown_topic_defaults_to_general_category(self):
"""An unrecognised topic must fall back to 'general', not raise."""
from tradingagents.dataflows.finnhub_scanner import get_topic_news_finnhub
captured_params: list[dict] = []
def capture(endpoint, params):
captured_params.append(dict(params))
return []
with patch(self._RATE_PATCH, side_effect=capture):
get_topic_news_finnhub("sports_scores") # unknown topic
assert any(p.get("category") == "general" for p in captured_params)
def test_mergers_topic_maps_to_merger_category(self):
from tradingagents.dataflows.finnhub_scanner import get_topic_news_finnhub
captured_params: list[dict] = []
def capture(endpoint, params):
captured_params.append(dict(params))
return []
with patch(self._RATE_PATCH, side_effect=capture):
get_topic_news_finnhub("mergers")
assert any(p.get("category") == "merger" for p in captured_params)
def test_limit_parameter_caps_articles_returned(self):
"""Only the first *limit* articles should appear."""
from tradingagents.dataflows.finnhub_scanner import get_topic_news_finnhub
many_articles = [
{"headline": f"Headline {i}", "source": "src", "summary": "", "url": "", "datetime": 1704153600}
for i in range(30)
]
with patch(self._RATE_PATCH, return_value=many_articles):
result = get_topic_news_finnhub("general", limit=5)
# Only "Headline 0" through "Headline 4" should appear
assert "Headline 4" in result
assert "Headline 5" not in result
# ---------------------------------------------------------------------------
# 17. finnhub_indicators — get_indicator_finnhub
# ---------------------------------------------------------------------------
class TestGetIndicatorFinnhub:
"""get_indicator_finnhub returns formatted time-series strings."""
_PATCH_TARGET = "tradingagents.dataflows.finnhub_common.requests.get"
def test_rsi_output_has_header_line(self):
from tradingagents.dataflows.finnhub_indicators import get_indicator_finnhub
with patch(self._PATCH_TARGET, return_value=_json_response(INDICATOR_RSI_OK)):
result = get_indicator_finnhub("AAPL", "rsi", "2024-01-01", "2024-01-05")
assert "RSI" in result
def test_rsi_output_has_date_value_rows(self):
from tradingagents.dataflows.finnhub_indicators import get_indicator_finnhub
with patch(self._PATCH_TARGET, return_value=_json_response(INDICATOR_RSI_OK)):
result = get_indicator_finnhub("AAPL", "rsi", "2024-01-01", "2024-01-05")
# RSI values should appear: 62.5, 64.1
assert "62.5" in result or "62.5000" in result
def test_macd_output_has_multi_column_header(self):
from tradingagents.dataflows.finnhub_indicators import get_indicator_finnhub
with patch(self._PATCH_TARGET, return_value=_json_response(INDICATOR_MACD_OK)):
result = get_indicator_finnhub("AAPL", "macd", "2024-01-01", "2024-01-05")
assert "MACD" in result
assert "Signal" in result
assert "Histogram" in result
def test_bbands_output_has_upper_middle_lower_columns(self):
from tradingagents.dataflows.finnhub_indicators import get_indicator_finnhub
with patch(self._PATCH_TARGET, return_value=_json_response(INDICATOR_BBANDS_OK)):
result = get_indicator_finnhub("AAPL", "bbands", "2024-01-01", "2024-01-05")
assert "Upper" in result
assert "Middle" in result
assert "Lower" in result
def test_no_data_status_raises_finnhub_error(self):
from tradingagents.dataflows.finnhub_common import FinnhubError
from tradingagents.dataflows.finnhub_indicators import get_indicator_finnhub
with patch(self._PATCH_TARGET, return_value=_json_response(INDICATOR_NO_DATA)):
with pytest.raises(FinnhubError, match="No indicator data"):
get_indicator_finnhub("AAPL", "rsi", "2024-01-01", "2024-01-05")
def test_invalid_indicator_name_raises_value_error(self):
from tradingagents.dataflows.finnhub_indicators import get_indicator_finnhub
with pytest.raises(ValueError, match="not supported"):
get_indicator_finnhub("AAPL", "bad_indicator", "2024-01-01", "2024-01-05") # type: ignore[arg-type]
def test_sma_indicator_accepted(self):
sma_response = {
"s": "ok",
"t": [1704067200, 1704153600],
"sma": [182.5, 183.1],
}
from tradingagents.dataflows.finnhub_indicators import get_indicator_finnhub
with patch(self._PATCH_TARGET, return_value=_json_response(sma_response)):
result = get_indicator_finnhub("AAPL", "sma", "2024-01-01", "2024-01-05")
assert "SMA" in result
def test_ema_indicator_accepted(self):
ema_response = {
"s": "ok",
"t": [1704067200],
"ema": [184.0],
}
from tradingagents.dataflows.finnhub_indicators import get_indicator_finnhub
with patch(self._PATCH_TARGET, return_value=_json_response(ema_response)):
result = get_indicator_finnhub("AAPL", "ema", "2024-01-01", "2024-01-05")
assert "EMA" in result
def test_atr_indicator_accepted(self):
atr_response = {
"s": "ok",
"t": [1704067200],
"atr": [3.25],
}
from tradingagents.dataflows.finnhub_indicators import get_indicator_finnhub
with patch(self._PATCH_TARGET, return_value=_json_response(atr_response)):
result = get_indicator_finnhub("AAPL", "atr", "2024-01-01", "2024-01-05")
assert "ATR" in result
def test_output_contains_symbol_and_date_range(self):
from tradingagents.dataflows.finnhub_indicators import get_indicator_finnhub
with patch(self._PATCH_TARGET, return_value=_json_response(INDICATOR_RSI_OK)):
result = get_indicator_finnhub("AAPL", "rsi", "2024-01-01", "2024-01-05")
assert "AAPL" in result
assert "2024-01-01" in result
assert "2024-01-05" in result
def test_output_contains_indicator_description(self):
"""Each indicator should append a human-readable description at the bottom."""
from tradingagents.dataflows.finnhub_indicators import get_indicator_finnhub
with patch(self._PATCH_TARGET, return_value=_json_response(INDICATOR_RSI_OK)):
result = get_indicator_finnhub("AAPL", "rsi", "2024-01-01", "2024-01-05")
# The description for RSI includes "overbought"
assert "overbought" in result.lower() or "RSI" in result
def test_unexpected_status_raises_finnhub_error(self):
from tradingagents.dataflows.finnhub_common import FinnhubError
from tradingagents.dataflows.finnhub_indicators import get_indicator_finnhub
bad_status = {"s": "error", "t": [1704067200], "rsi": [55.0]}
with patch(self._PATCH_TARGET, return_value=_json_response(bad_status)):
with pytest.raises(FinnhubError):
get_indicator_finnhub("AAPL", "rsi", "2024-01-01", "2024-01-05")
# ---------------------------------------------------------------------------
# 18. Edge cases & cross-cutting concerns
# ---------------------------------------------------------------------------
class TestEdgeCases:
"""Cross-cutting edge-case tests that span multiple modules."""
_PATCH_TARGET = "tradingagents.dataflows.finnhub_common.requests.get"
def test_api_key_missing_when_calling_stock_candles(self, monkeypatch):
"""All public functions propagate APIKeyInvalidError when key is absent."""
from tradingagents.dataflows.finnhub_common import APIKeyInvalidError
from tradingagents.dataflows.finnhub_stock import get_stock_candles
monkeypatch.delenv("FINNHUB_API_KEY", raising=False)
with pytest.raises(APIKeyInvalidError):
# No mock needed — key check happens before HTTP call
get_stock_candles("AAPL", "2024-01-01", "2024-01-03")
def test_api_key_missing_when_calling_get_quote(self, monkeypatch):
from tradingagents.dataflows.finnhub_common import APIKeyInvalidError
from tradingagents.dataflows.finnhub_stock import get_quote
monkeypatch.delenv("FINNHUB_API_KEY", raising=False)
with pytest.raises(APIKeyInvalidError):
get_quote("AAPL")
def test_api_key_missing_when_calling_company_profile(self, monkeypatch):
from tradingagents.dataflows.finnhub_common import APIKeyInvalidError
from tradingagents.dataflows.finnhub_fundamentals import get_company_profile
monkeypatch.delenv("FINNHUB_API_KEY", raising=False)
with pytest.raises(APIKeyInvalidError):
get_company_profile("AAPL")
def test_rate_limit_error_propagates_from_stock_candles(self):
from tradingagents.dataflows.finnhub_common import RateLimitError
from tradingagents.dataflows.finnhub_stock import get_stock_candles
with patch(self._PATCH_TARGET, return_value=_error_response(429, "Too Many Requests")):
with pytest.raises(RateLimitError):
get_stock_candles("AAPL", "2024-01-01", "2024-01-03")
def test_rate_limit_error_propagates_from_company_profile(self):
from tradingagents.dataflows.finnhub_common import RateLimitError
from tradingagents.dataflows.finnhub_fundamentals import get_company_profile
with patch(self._PATCH_TARGET, return_value=_error_response(429)):
with pytest.raises(RateLimitError):
get_company_profile("AAPL")
def test_timeout_propagates_from_get_company_news(self):
from tradingagents.dataflows.finnhub_common import ThirdPartyTimeoutError
from tradingagents.dataflows.finnhub_news import get_company_news
with patch(
self._PATCH_TARGET,
side_effect=requests.exceptions.Timeout("timeout"),
):
with pytest.raises(ThirdPartyTimeoutError):
get_company_news("AAPL", "2024-01-01", "2024-01-10")
def test_timeout_propagates_from_get_basic_financials(self):
from tradingagents.dataflows.finnhub_common import ThirdPartyTimeoutError
from tradingagents.dataflows.finnhub_fundamentals import get_basic_financials
with patch(
self._PATCH_TARGET,
side_effect=requests.exceptions.Timeout("timeout"),
):
with pytest.raises(ThirdPartyTimeoutError):
get_basic_financials("AAPL")
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