py 3.14 (#32)

Author: lsbardel

.github/workflows/build.yml

@@ -16,7 +16,7 @@ jobs:
       FMP_API_KEY: ${{ secrets.FMP_API_KEY }}
     strategy:
       matrix:
-        python-version: ["3.11", "3.12", "3.13"]
+        python-version: ["3.11", "3.12", "3.13", "3.14"]
 
     steps:
       - uses: actions/checkout@v4
@@ -37,17 +37,17 @@ jobs:
       - name: run tests
         run: make tests
       - name: upload coverage reports to codecov
-        if: matrix.python-version == '3.12'
+        if: matrix.python-version == '3.13'
         uses: codecov/codecov-action@v3
         with:
           token: ${{ secrets.CODECOV_TOKEN }}
           files: ./build/coverage.xml
       - name: build book
-        if: ${{ matrix.python-version == '3.12' }}
+        if: ${{ matrix.python-version == '3.13' }}
         run: make book
       - name: publish book
-        if: ${{ matrix.python-version == '3.12' }}
+        if: ${{ matrix.python-version == '3.13' }}
         run: make publish-book
       - name: publish
-        if: ${{ matrix.python-version == '3.12' && github.event.head_commit.message == 'release' }}
+        if: ${{ matrix.python-version == '3.13' && github.event.head_commit.message == 'release' }}
         run: make publish

.vscode/launch.json

@@ -14,7 +14,7 @@
             "args": [
                 "-x",
                 "-vvv",
-                "quantflow_tests/test_vault.py",
+                "quantflow_tests/test_data.py::test_fed_yc",
             ]
         },
     ]

poetry.lock

@@ -1,6 +1,6 @@
 [project]
 name = "quantflow"
-version = "0.4.2"
+version = "0.4.3"
 description = "quantitative analysis"
 authors = [{ name = "Luca Sbardella", email = "luca@quantmind.com" }]
 license = "BSD-3-Clause"
@@ -42,6 +42,7 @@ ghp-import = "^2.0.2"
 ruff = "^0.12.2"
 pytest-asyncio = "^1.0.0"
 isort = "^6.0.1"
+types-python-dateutil = "^2.9.0.20251115"
 
 [tool.poetry.group.book]
 optional = true

pyproject.toml

@@ -1,3 +1,3 @@
 """Quantitative analysis and pricing"""
 
-__version__ = "0.4.1"
+__version__ = "0.4.3"

quantflow/__init__.py

@@ -11,7 +11,7 @@
 class FiscalData(AioHttpClient):
     """Fiscal Data API client.
 
-    THis class is used to fetch data from the
+    This class is used to fetch data from the
     [fiscal data api](https://fiscaldata.treasury.gov/api-documentation/)
     """
 

quantflow/data/fiscal_data.py

@@ -1,13 +1,13 @@
 from typing import AsyncIterator
 
 import pytest
-from aiohttp.client_exceptions import ClientError
 
 from quantflow.data.fed import FederalReserve
 from quantflow.data.fiscal_data import FiscalData
 from quantflow.data.fmp import FMP
+from quantflow_tests.utils import skip_network_issue
 
-pytestmark = pytest.mark.skipif(not FMP().key, reason="No FMP API key found")
+skip_fmp = not FMP().key
 
 
 @pytest.fixture
@@ -16,49 +16,46 @@ async def fmp() -> AsyncIterator[FMP]:
         yield fmp
 
 
+@pytest.mark.skipif(skip_fmp, reason="No FMP API key found")
 def test_client(fmp: FMP) -> None:
     assert fmp.url
     assert fmp.key
 
 
+@pytest.mark.skipif(skip_fmp, reason="No FMP API key found")
 async def test_historical(fmp: FMP) -> None:
     df = await fmp.prices("BTCUSD", fmp.freq.one_hour)
     assert df["close"] is not None
 
 
+@pytest.mark.skipif(skip_fmp, reason="No FMP API key found")
 async def test_dividends(fmp: FMP) -> None:
     data = await fmp.dividends()
     assert data is not None
 
 
+@skip_network_issue
 async def test_fed_yc() -> None:
-    try:
-        async with FederalReserve() as fed:
-            df = await fed.yield_curves()
-            assert df is not None
-            assert df.shape[0] > 0
-            assert df.shape[1] == 12
-    except (ConnectionError, ClientError) as e:
-        pytest.skip(f"Skipping test_fed due to network issue: {e}")
+    async with FederalReserve() as fed:
+        df = await fed.yield_curves()
+        assert df is not None
+        assert df.shape[0] > 0
+        assert df.shape[1] == 12
 
 
+@skip_network_issue
 async def test_fed_rates() -> None:
-    try:
-        async with FederalReserve() as fed:
-            df = await fed.ref_rates()
-            assert df is not None
-            assert df.shape[0] > 0
-            assert df.shape[1] == 2
-    except (ConnectionError, ClientError) as e:
-        pytest.skip(f"Skipping test_fed due to network issue: {e}")
+    async with FederalReserve() as fed:
+        df = await fed.ref_rates()
+        assert df is not None
+        assert df.shape[0] > 0
+        assert df.shape[1] == 2
 
 
+@skip_network_issue
 async def __test_fiscal_data() -> None:
-    try:
-        async with FiscalData() as fd:
-            df = await fd.securities()
-            assert df is not None
-            assert df.shape[0] > 0
-            assert df.shape[1] == 2
-    except (ConnectionError, ClientError) as e:
-        pytest.skip(f"Skipping test_fed due to network issue: {e}")
+    async with FiscalData() as fd:
+        df = await fd.securities()
+        assert df is not None
+        assert df.shape[0] > 0
+        assert df.shape[1] == 2

quantflow_tests/test_data.py

@@ -1,6 +1,8 @@
 from typing import cast
 
 import numpy as np
+import pytest
+from aiohttp.client_exceptions import ClientError
 
 from quantflow.sp.base import StochasticProcess1D
 from quantflow.utils.marginal import Marginal1D
@@ -30,3 +32,15 @@ def analytical_tests(pr: StochasticProcess1D, tol: float = 1e-3):
     np.testing.assert_allclose(m.mean(), m.mean_from_characteristic(), tol)
     np.testing.assert_allclose(m.std(), m.std_from_characteristic(), tol)
     np.testing.assert_allclose(m.variance(), m.variance_from_characteristic(), tol)
+
+
+def skip_network_issue(func):
+    """Decorator to skip tests in case of network issues."""
+
+    async def wrapper(*args, **kwargs):
+        try:
+            await func(*args, **kwargs)
+        except (ConnectionError, ClientError) as e:
+            pytest.skip(f"Skipping {func.__name__} due to network issue: {e}")
+
+    return wrapper