Bump pandas from 2.0.3 to 2.1.0

pyproject.toml

@@ -25,7 +25,7 @@ classifiers = [
 
 [tool.poetry.dependencies]
 python = ">= 3.11, < 3.12"
-pandas = {version = "^2.0.3", extras = ["html"]}
+pandas = {version = "^2.1.0", extras = ["html"]}
 
 [tool.poetry.group.dev.dependencies]
 pre-commit = "^3.3.3"

tests/test_headers.py

@@ -9,7 +9,7 @@
 
 import pytest
 
-from xil._headers import _DEFAULT_CONTEXT, UA_HEADER, get_url_response
+from xil._headers import _DEFAULT_CONTEXT, get_url_response
 
 
 @pytest.fixture(name="url")
@@ -35,38 +35,17 @@ def _compare_requests(request1: Request, request2: Request) -> bool:
     )
 
 
-@pytest.mark.parametrize(
-    ("default_headers", "expected_headers"), [(False, {}), (True, UA_HEADER)]
-)
-def test_get_url_response_headers(
-    url: str,
-    default_headers: bool,
-    expected_headers: dict[str, str],
-    mock_urlopen: Mock,
-) -> None:
-    """Test the get_url_response request headers"""
-    get_url_response(url, default_headers)
-    mock_urlopen.assert_called_once()
-    actual_request = mock_urlopen.call_args.args[0]
-    expected_request = Request(url=url, headers=expected_headers)
-    assert _compare_requests(
-        actual_request, expected_request
-    ), "The actual request is different than expected"
-
-
-@pytest.mark.parametrize("default_headers", [False, True])
 @pytest.mark.parametrize(
     ("set_context", "expected_context"), [(False, None), (True, _DEFAULT_CONTEXT)]
 )
 def test_get_url_response_context(
     url: str,
-    default_headers: bool,
     set_context: bool,
     expected_context: ssl.SSLContext | None,
     mock_urlopen: Mock,
 ) -> None:
     """Test that get_url_response sets an SSL context when it is asked to"""
-    get_url_response(url, default_headers=default_headers, set_context=set_context)
+    get_url_response(url, set_context=set_context)
     mock_urlopen.assert_called_once()
     assert mock_urlopen.call_args.kwargs == {
         "context": expected_context,

xil/_headers.py

@@ -18,22 +18,17 @@
 
 def get_url_response(
     url: str,
-    default_headers: bool = True,
     set_context: bool = False,
 ) -> http.client.HTTPResponse:
     """
     Return the response from a URL with custom headers and SSL context when opening if
     set_context is True.
     """
-    if default_headers:
-        headers = UA_HEADER
-    else:
-        headers = {}
     if set_context:
         context = _DEFAULT_CONTEXT
     else:
         context = None
-    request = urllib.request.Request(url, headers=headers)
+    request = urllib.request.Request(url)
     return urllib.request.urlopen(  # type: ignore[no-any-return]
         request, context=context
     )

xil/boi.py

@@ -25,9 +25,7 @@
     [[_CURRENCY_KEY], ["code", "official rate", "change (%)", "amount", "time"]]
 )
 
-get_boi_url_response = partial(
-    get_url_response, default_headers=False, set_context=True
-)
+get_boi_url_response = partial(get_url_response, set_context=True)
 
 
 def get_boi_df(url: str = _BOI_URL) -> pd.DataFrame:

xil/fibi.py

@@ -9,11 +9,11 @@
 import pandas as pd
 
 from xil._df_normalizer import DataFrameNormalizer
-from xil._headers import get_url_response
+from xil._headers import UA_HEADER
 
 _FIBI_URL = "http://apps.fibi.co.il/Matach/matach.aspx"
 _ENCODING = "iso-8859-8"
-_MATCH = "המחאות"
+_MATCH = "העברות והמחאות"
 _HEADER = [0, 1]
 _ATTRS = {"class": "clsPart"}
 _RELEVANT_COLS = [
@@ -22,8 +22,8 @@
     ("יציג", "יציג"),
     ("בנקנוטים", "מכירה"),
     ("בנקנוטים", "קניה"),
-    ("המחאות", "מכירה"),
-    ("המחאות", "קניה"),
+    ("העברות והמחאות", "מכירה"),
+    ("העברות והמחאות", "קניה"),
 ]
 _IDX0 = pd.MultiIndex.from_product([["currency"], ["name", "amount", "official rate"]])
 _IDX1 = pd.MultiIndex.from_product([["cash", "transfer"], ["sell", "buy"]])
@@ -32,14 +32,14 @@
 
 def get_fibi_df(url: str = _FIBI_URL) -> pd.DataFrame:
     """Get FIBI exchange rates"""
-    with get_url_response(url) as response:
-        dfs = pd.read_html(
-            response,  # type: ignore[arg-type]
-            match=_MATCH,
-            header=_HEADER,
-            encoding=_ENCODING,
-            attrs=_ATTRS,
-        )
+    dfs = pd.read_html(
+        url,
+        match=_MATCH,
+        header=_HEADER,
+        encoding=_ENCODING,
+        attrs=_ATTRS,
+        storage_options=UA_HEADER,  # type: ignore[call-arg]
+    )
 
     df = dfs[0]  # guaranteed to have at least one element at this point
     df = df[_RELEVANT_COLS]