Working PR for monitoring changes to main

Cargo.toml

@@ -37,18 +37,20 @@ substrait = ["dep:datafusion-substrait"]
 tokio = { version = "1.45", features = ["macros", "rt", "rt-multi-thread", "sync"] }
 pyo3 = { version = "0.24", features = ["extension-module", "abi3", "abi3-py39"] }
 pyo3-async-runtimes = { version = "0.24", features = ["tokio-runtime"]}
-arrow = { version = "55.0.0", features = ["pyarrow"] }
-datafusion = { version = "47.0.0", features = ["avro", "unicode_expressions"] }
-datafusion-substrait = { version = "47.0.0", optional = true }
-datafusion-proto = { version = "47.0.0" }
-datafusion-ffi = { version = "47.0.0" }
+pyo3-log = "0.12.4"
+arrow = { version = "55.1.0", features = ["pyarrow"] }
+datafusion = { version = "48.0.0", features = ["avro", "unicode_expressions"] }
+datafusion-substrait = { version = "48.0.0", optional = true }
+datafusion-proto = { version = "48.0.0" }
+datafusion-ffi = { version = "48.0.0" }
 prost = "0.13.1" # keep in line with `datafusion-substrait`
 uuid = { version = "1.16", features = ["v4"] }
 mimalloc = { version = "0.1", optional = true, default-features = false, features = ["local_dynamic_tls"] }
 async-trait = "0.1.88"
 futures = "0.3"
 object_store = { version = "0.12.1", features = ["aws", "gcp", "azure", "http"] }
 url = "2"
+log = "0.4.27"
 
 [build-dependencies]
 prost-types = "0.13.1" # keep in line with `datafusion-substrait`

docs/source/api/dataframe.rst

@@ -174,7 +174,7 @@ HTML Rendering Customization
 ----------------------------
 
 DataFusion provides extensive customization options for HTML table rendering through the
-``datafusion.html_formatter`` module.
+``datafusion.dataframe_formatter`` module.
 
 Configuring the HTML Formatter
 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
@@ -183,7 +183,7 @@ You can customize how DataFrames are rendered by configuring the formatter:
 
 .. code-block:: python
 
-    from datafusion.html_formatter import configure_formatter
+    from datafusion.dataframe_formatter import configure_formatter
 
     configure_formatter(
         max_cell_length=30,              # Maximum length of cell content before truncation
@@ -206,7 +206,7 @@ For advanced styling needs, you can create a custom style provider class:
 
 .. code-block:: python
 
-    from datafusion.html_formatter import configure_formatter
+    from datafusion.dataframe_formatter import configure_formatter
 
     class CustomStyleProvider:
         def get_cell_style(self) -> str:
@@ -225,7 +225,7 @@ You can register custom formatters for specific data types:
 
 .. code-block:: python
 
-    from datafusion.html_formatter import get_formatter
+    from datafusion.dataframe_formatter import get_formatter
 
     formatter = get_formatter()
 
@@ -285,7 +285,7 @@ The HTML formatter maintains global state that can be managed:
 
 .. code-block:: python
 
-    from datafusion.html_formatter import reset_formatter, reset_styles_loaded_state, get_formatter
+    from datafusion.dataframe_formatter import reset_formatter, reset_styles_loaded_state, get_formatter
 
     # Reset the formatter to default settings
     reset_formatter()
@@ -303,7 +303,7 @@ This example shows how to create a dashboard-like styling for your DataFrames:
 
 .. code-block:: python
 
-    from datafusion.html_formatter import configure_formatter, get_formatter
+    from datafusion.dataframe_formatter import configure_formatter, get_formatter
 
     # Define custom CSS
     custom_css = """

docs/source/contributor-guide/ffi.rst

@@ -176,7 +176,7 @@ By convention the ``datafusion-python`` library expects a Python object that has
 ``TableProvider`` PyCapsule to have this capsule accessible by calling a function named
 ``__datafusion_table_provider__``. You can see a complete working example of how to
 share a ``TableProvider`` from one python library to DataFusion Python in the
-`repository examples folder <https://github.com/apache/datafusion-python/tree/main/examples/ffi-table-provider>`_.
+`repository examples folder <https://github.com/apache/datafusion-python/tree/main/examples/datafusion-ffi-example>`_.
 
 This section has been written using ``TableProvider`` as an example. It is the first
 extension that has been written using this approach and the most thoroughly implemented.