refactor(streamlit): update to use BaseConnection interface (#9550)

docs/how-to/visualization/example_streamlit_app/example_streamlit_app.py

@@ -27,10 +27,10 @@ def get_emoji():
 @st.cache_data
 def query():
     return (
-        con.tables.recipes.relabel("snake_case")
+        con.tables.recipes.rename("snake_case")
         .mutate(ner=_.ner.map(lambda n: n.lower()).unnest())
         .ner.topk(max(options))
-        .relabel(dict(ner="ingredient"))
+        .rename(ingredient="ner")
         .to_pandas()
         .assign(
             emoji=lambda df: df.ingredient.map(
@@ -43,7 +43,7 @@ def query():
 
 emojis = get_emoji()
 
-con = st.experimental_connection("ch", type=IbisConnection)
+con = st.connection("ch", type=IbisConnection)
 
 if n := st.radio("Ingredients", options, index=1, horizontal=True):
     table, whole = st.columns((2, 1))

docs/how-to/visualization/streamlit.qmd

@@ -1,6 +1,6 @@
 # Streamlit + Ibis
 
-Ibis supports the [streamlit `experimental_connection` interface](https://blog.streamlit.io/introducing-st-experimental_connection/), making it easier than ever to combine the powers of both tools!
+Ibis supports the [streamlit `connection` interface](https://docs.streamlit.io/develop/concepts/connections/connecting-to-data), making it easier than ever to combine the powers of both tools!
 
 Check out the example application below that shows the top N ingredients from a corpus of recipes using [the ClickHouse backend](../../backends/clickhouse.qmd)!
 

ibis/streamlit/__init__.py

@@ -2,7 +2,7 @@
 
 from typing import Any
 
-from streamlit.connections import ExperimentalBaseConnection
+from streamlit.connections import BaseConnection
 from streamlit.runtime.caching import cache_data
 
 import ibis
@@ -11,14 +11,14 @@
 __all__ = ["IbisConnection"]
 
 
-class IbisConnection(ExperimentalBaseConnection[BaseBackend]):
+class IbisConnection(BaseConnection[BaseBackend]):
     def _connect(self, **kwargs: Any) -> BaseBackend:
         """Connect to the backend and return a client object.
 
-        This method is invoked when `st.experimental_connection` is called and
-        pulls information from streamlit secrets. `_connect` is part of the
-        streamlit connection API to be implemented by developers of specific
-        connection types.
+        This method is invoked when `st.connection` is called and pulls
+        information from streamlit secrets. `_connect` is part of the streamlit
+        connection API to be implemented by developers of specific connection
+        types.
 
         Here's an example not-so-secret configuration:
 
@@ -48,7 +48,7 @@ def _connect(self, **kwargs: Any) -> BaseBackend:
 
         from ibis.streamlit import IbisConnection
 
-        con = st.experimental_connection("ch", type=IbisConnection)
+        con = st.connection("ch", type=IbisConnection)
 
         # Now you can use `con` as if it were an ibis backend
         con.list_tables()