feat: Add support for %dpip magic to install packages on Spark session

google/cloud/dataproc_magics/__init__.py

@@ -0,0 +1,19 @@
+# Copyright 2026 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from .magics import DataprocMagics
+
+
+def load_ipython_extension(ipython):
+    ipython.register_magics(DataprocMagics)

google/cloud/dataproc_magics/magics.py

@@ -0,0 +1,76 @@
+# Copyright 2026 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""Dataproc magic implementations."""
+
+import shlex
+from IPython.core.magic import (Magics, magics_class, line_magic)
+from google.cloud.dataproc_spark_connect import DataprocSparkSession
+
+
+@magics_class
+class DataprocMagics(Magics):
+
+    def __init__(
+        self,
+        shell,
+        **kwargs,
+    ):
+        super().__init__(shell, **kwargs)
+
+    @line_magic
+    def dpip(self, line):
+        """
+        Custom magic to install pip packages as Spark Connect artifacts.
+        Usage: %dpip install pandas numpy
+        """
+        try:
+            args = shlex.split(line)
+
+            if not args or args[0] != "install":
+                raise RuntimeError(
+                    "Usage: %dpip install <package1> <package2> ..."
+                )
+
+            packages = args[1:]  # remove `install`
+
+            if not packages:
+                raise RuntimeError("Error: No packages specified.")
+
+            if any(pkg.startswith("-") for pkg in packages):
+                raise RuntimeError("Error: Flags are not currently supported.")
+
+            sessions = [
+                (key, value)
+                for key, value in self.shell.user_ns.items()
+                if isinstance(value, DataprocSparkSession)
+            ]
+
+            if not sessions:
+                raise RuntimeError(
+                    "Error: No active Dataproc Spark Session found. Please create one first."
+                )
+            if len(sessions) > 1:
+                raise RuntimeError(
+                    "Error: Found more than one active Dataproc Spark Sessions."
+                )
+
+            ((name, session),) = sessions
+            print(f"Active session found: {name}")
+            print(f"Installing packages: {packages}")
+            session.addArtifacts(*packages, pypi=True)
+
+            print("Finished installing packages.")
+        except Exception as e:
+            raise RuntimeError(f"Failed to install packages: {e}") from e

tests/integration/dataproc_magics/test_magics.py

@@ -0,0 +1,211 @@
+# Copyright 2026 Google LLC
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+import os
+import pytest
+import certifi
+from unittest import mock
+
+from google.cloud.dataproc_spark_connect import DataprocSparkSession
+
+
+_SERVICE_ACCOUNT_KEY_FILE_ = "service_account_key.json"
+
+
+@pytest.fixture(params=[None, "3.0"])
+def image_version(request):
+    return request.param
+
+
+@pytest.fixture
+def test_project():
+    return os.getenv("GOOGLE_CLOUD_PROJECT")
+
+
+@pytest.fixture
+def test_region():
+    return os.getenv("GOOGLE_CLOUD_REGION")
+
+
+def is_ci_environment():
+    """Detect if running in CI environment."""
+    return os.getenv("CI") == "true" or os.getenv("GITHUB_ACTIONS") == "true"
+
+
+@pytest.fixture
+def auth_type(request):
+    """Auto-detect authentication type based on environment.
+
+    CI environment (CI=true or GITHUB_ACTIONS=true): Uses SERVICE_ACCOUNT
+    Local environment: Uses END_USER_CREDENTIALS
+    Test parametrization can still override this default.
+    """
+    # Allow test parametrization to override
+    if hasattr(request, "param"):
+        return request.param
+
+    # Auto-detect based on environment
+    if is_ci_environment():
+        return "SERVICE_ACCOUNT"
+    else:
+        return "END_USER_CREDENTIALS"
+
+
+@pytest.fixture
+def test_subnet():
+    return os.getenv("DATAPROC_SPARK_CONNECT_SUBNET")
+
+
+@pytest.fixture
+def test_subnetwork_uri(test_subnet):
+    # Make DATAPROC_SPARK_CONNECT_SUBNET the full URI
+    # to align with how user would specify it in the project
+    return test_subnet
+
+
+@pytest.fixture
+def os_environment(auth_type, image_version, test_project, test_region):
+    original_environment = dict(os.environ)
+    if os.path.isfile(_SERVICE_ACCOUNT_KEY_FILE_):
+        os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = (
+            _SERVICE_ACCOUNT_KEY_FILE_
+        )
+    os.environ["DATAPROC_SPARK_CONNECT_AUTH_TYPE"] = auth_type
+    if auth_type == "END_USER_CREDENTIALS":
+        os.environ.pop("DATAPROC_SPARK_CONNECT_SERVICE_ACCOUNT", None)
+    # Add SSL certificate fix
+    os.environ["SSL_CERT_FILE"] = certifi.where()
+    os.environ["REQUESTS_CA_BUNDLE"] = certifi.where()
+    yield os.environ
+    os.environ.clear()
+    os.environ.update(original_environment)
+
+
+@pytest.fixture
+def connect_session(test_project, test_region, os_environment):
+    session = (
+        DataprocSparkSession.builder.projectId(test_project)
+        .location(test_region)
+        .getOrCreate()
+    )
+    yield session
+    # Clean up the session after each test to prevent resource conflicts
+    try:
+        session.stop()
+    except Exception:
+        # Ignore cleanup errors to avoid masking the actual test failure
+        pass
+
+
+@pytest.fixture
+def ipython_shell(connect_session):
+    """Provides an IPython shell with a DataprocSparkSession in user_ns."""
+    try:
+        from IPython.terminal.interactiveshell import TerminalInteractiveShell
+        from google.cloud import dataproc_magics
+
+        shell = TerminalInteractiveShell.instance()
+        shell.user_ns = {"spark": connect_session}
+
+        # Load magics
+        dataproc_magics.load_ipython_extension(shell)
+
+        yield shell
+    finally:
+        from IPython.terminal.interactiveshell import TerminalInteractiveShell
+
+        TerminalInteractiveShell.clear_instance()
+
+
+# Tests for magics.py
+def test_dpip_magic_loads(ipython_shell):
+    """Test that %dpip magic is registered."""
+    assert "dpip" in ipython_shell.magics_manager.magics["line"]
+
+
+def test_dpip_install_success(connect_session, ipython_shell, capsys):
+    """Test installing a single package with %dpip."""
+    ipython_shell.run_line_magic("dpip", "install roman numpy")
+    captured = capsys.readouterr()
+    assert "Active session found:" in captured.out
+    assert "Installing packages:" in captured.out
+    assert "Finished installing packages." in captured.out
+
+    from pyspark.sql.connect.functions import udf
+    from pyspark.sql.types import StringType
+
+    df = connect_session.createDataFrame([(1666,)], ["number"])
+
+    def to_roman(number):
+        import roman
+
+        return roman.toRoman(number)
+
+    df_result = df.withColumn(
+        "roman", udf(to_roman, StringType())("number")
+    ).collect()
+
+    assert df_result[0]["roman"] == "MDCLXVI"
+
+    connect_session.stop()
+
+
+def test_dpip_no_install_command(ipython_shell):
+    """Test usage message when 'install' is missing."""
+    with pytest.raises(
+        RuntimeError, match="Usage: %dpip install <package1> <package2>..."
+    ):
+        ipython_shell.run_line_magic("dpip", "pandas")
+
+
+def test_dpip_no_packages(ipython_shell):
+    """Test message when no packages are specified."""
+    with pytest.raises(RuntimeError, match="Error: No packages specified."):
+        ipython_shell.run_line_magic("dpip", "install")
+
+
+def test_dpip_with_flags(ipython_shell):
+    """Test installing multiple packages with flags like -U."""
+    with pytest.raises(
+        RuntimeError, match="Error: Flags are not currently supported."
+    ):
+        ipython_shell.run_line_magic("dpip", "install -U numpy scikit-learn")
+
+
+def test_dpip_no_session(ipython_shell):
+    """Test message when no Spark session is active."""
+    ipython_shell.user_ns = {}  # Remove spark session from namespace
+    with pytest.raises(
+        RuntimeError, match="No active Dataproc Spark Session found."
+    ):
+        ipython_shell.run_line_magic("dpip", "install pandas")
+
+
+def test_dpip_install_failure(ipython_shell):
+    """Test error message on installation failure."""
+    with pytest.raises(
+        RuntimeError,
+        match="No matching distribution found",
+    ):
+        ipython_shell.run_line_magic("dpip", "install dp-non-existent-package")
+
+
+def test_dpip_multiple_sessions(ipython_shell, connect_session):
+    """Test error message when multiple Spark sessions found."""
+    ipython_shell.user_ns["sparksession"] = connect_session
+    ipython_shell.user_ns["sparkanother"] = connect_session
+    with pytest.raises(
+        RuntimeError,
+        match="Error: Found more than one active Dataproc Spark Sessions.",
+    ):
+        ipython_shell.run_line_magic("dpip", "install pandas")