Add pytest warning filters for CI stability

Ignore ResourceWarning and PytestUnraisableExceptionWarning to prevent
CI failures from pre-existing unclosed socket warnings that are not
related to our warning context manager tests.

Author: nlebovits

pyproject.toml

@@ -110,6 +110,10 @@ select = ["E", "F", "W", "I"]
 [tool.pytest.ini_options]
 markers = "vcr: records network activity"
 addopts = "--benchmark-skip --block-network"
+filterwarnings = [
+    "ignore::ResourceWarning",
+    "ignore::pytest.PytestUnraisableExceptionWarning",
+]
 
 [tool.mypy]
 show_error_codes = true

tests/test_warnings.py

@@ -13,7 +13,6 @@ def test_ignore_context_manager(self) -> None:
         api = Client.from_file(str(TEST_DATA / "planetary-computer-root.json"))
         api.remove_conforms_to("COLLECTION_SEARCH")
 
-        # This should emit a DoesNotConformTo warning, but ignore() should suppress it
         with ignore():
             api.collection_search(limit=10, max_collections=10, q="test")
 
@@ -23,7 +22,6 @@ def test_strict_context_manager(self) -> None:
         api = Client.from_file(str(TEST_DATA / "planetary-computer-root.json"))
         api.remove_conforms_to("COLLECTION_SEARCH")
 
-        # This should raise DoesNotConformTo as an exception
         with strict():
             with pytest.raises(DoesNotConformTo, match="COLLECTION_SEARCH"):
                 api.collection_search(limit=10, max_collections=10, q="test")
@@ -33,12 +31,9 @@ def test_ignore_context_manager_cleanup(self) -> None:
         api = Client.from_file(str(TEST_DATA / "planetary-computer-root.json"))
         api.remove_conforms_to("COLLECTION_SEARCH")
 
-        # Test that warnings are suppressed inside the context
         with ignore():
             api.collection_search(limit=10, max_collections=10, q="test")
 
-        # Test that warnings are restored after exiting the context
-        # Use strict() to ensure warnings become exceptions
         with strict():
             with pytest.raises(DoesNotConformTo, match="COLLECTION_SEARCH"):
                 api.collection_search(limit=10, max_collections=10, q="test")