Fix CI (#1830)

Co-authored-by: Garrick Aden-Buie <[email protected]>

pyproject.toml

@@ -75,6 +75,7 @@ test = [
     "seaborn",
     "plotnine",
     "plotly",
+    "anywidget",
     "duckdb",
     "holoviews",
     "bokeh",
@@ -116,6 +117,11 @@ dev = [
     "anthropic",
     "google-generativeai;python_version>='3.9'",
     "langchain_core",
+    # langsmith (needed for langchain_core) versions >= 0.3
+    # (up to at least 0.3.2 as of 2025-01-29) 
+    # cause an `argparse.ArgumentError` when running `pytest`.
+    # https://github.com/posit-dev/py-shiny/issues/1829
+    "langsmith<0.3",
     "openai",
     "ollama",
     "tokenizers",

shiny/_autoreload.py

@@ -251,7 +251,6 @@ async def process_request(
                 status_code=http.HTTPStatus.MOVED_PERMANENTLY,
                 reason_phrase="Moved Permanently",
                 headers=websockets.Headers(Location=app_url),
-                body=None,
             )
         else:
             return None

tests/playwright/deploys/plotly/app_requirements.txt

@@ -1,5 +1,6 @@
 pandas
 plotly
+anywidget
 htmltools
 git+https://github.com/posit-dev/py-shinywidgets.git#egg=shinywidgets
 

tests/pytest/test_chat.py

@@ -206,7 +206,7 @@ def test_google_normalization():
     if sys.version_info < (3, 9):
         return
 
-    from google.generativeai import (  # pyright: ignore[reportMissingTypeStubs]
+    from google.generativeai.generative_models import (  # pyright: ignore[reportMissingTypeStubs]
         GenerativeModel,
     )
 
@@ -382,7 +382,7 @@ def test_as_google_message():
     if sys.version_info < (3, 9):
         return
 
-    from google.generativeai import (  # pyright: ignore[reportMissingTypeStubs]
+    from google.generativeai.generative_models import (  # pyright: ignore[reportMissingTypeStubs]
         GenerativeModel,
     )
 
@@ -403,7 +403,9 @@ def test_as_google_message():
 
 
 def test_as_langchain_message():
-    from langchain_core.language_models.base import LanguageModelInput
+    from langchain_core.language_models.base import (
+        LanguageModelInput,
+    )
     from langchain_core.language_models.base import (
         Sequence as LangchainSequence,  # pyright: ignore[reportPrivateImportUsage]
     )