maint: move from deploy_rsconnect to deploy_connect

vetiver/__init__.py

@@ -1,4 +1,5 @@
 """vetiver - Python parallel to R vetiver package"""
+
 # Change to import.metadata when minimum python>=3.8
 from importlib_metadata import version as _version
 
@@ -22,7 +23,7 @@
 from .handlers.xgboost import XGBoostHandler  # noqa
 from .handlers.spacy import SpacyHandler  # noqa
 from .helpers import api_data_to_frame  # noqa
-from .rsconnect import deploy_rsconnect  # noqa
+from .rsconnect import deploy_connect, deploy_rsconnect  # noqa
 from .monitor import compute_metrics, pin_metrics, plot_metrics, _rolling_df  # noqa
 from .templates import model_card, monitoring_dashboard  # noqa
 from .types import create_prototype, Prototype  # noqa

vetiver/rsconnect.py

@@ -2,14 +2,15 @@
 import shutil
 import tempfile
 import typing
+import warnings
 
 from rsconnect.actions import deploy_python_fastapi
 from rsconnect.api import RSConnectServer as ConnectServer
 
 from .write_fastapi import write_app
 
 
-def deploy_rsconnect(
+def deploy_connect(
     connect_server: ConnectServer,
     board,
     pin_name: str,
@@ -68,7 +69,7 @@ def deploy_rsconnect(
     )
 
     # Deploy model, which should already be pinned on Posit Connect
-    vetiver.deploy_rsconnect(
+    vetiver.deploy_connect(
         connect_server = connect_server,
         board = board,
        pin_name = "my_model"
@@ -116,3 +117,40 @@ def deploy_rsconnect(
             log_callback=log_callback,
             image=image,
         )
+
+
+def deploy_rsconnect(
+    connect_server: ConnectServer,
+    board,
+    pin_name: str,
+    version: str = None,
+    extra_files: typing.List[str] = None,
+    new: bool = False,
+    app_id: int = None,
+    title: str = None,
+    python: str = None,
+    force_generate: bool = False,
+    log_callback: typing.Callable = None,
+    image: str = None,
+):
+    """Deprecated. Use `deploy_connect` instead."""
+
+    warnings.warn(
+        "deploy_rsconnect is deprecated and will be removed in a future version. "
+        "Use deploy_connect instead."
+    )
+
+    deploy_connect(
+        connect_server=connect_server,
+        board=board,
+        pin_name=pin_name,
+        version=version,
+        extra_files=extra_files,
+        new=new,
+        app_id=app_id,
+        title=title,
+        python=python,
+        force_generate=force_generate,
+        log_callback=log_callback,
+        image=image,
+    )

vetiver/tests/test_rsconnect.py

@@ -68,15 +68,15 @@ def test_deploy(rsc_short):
 
     v = vetiver.VetiverModel(model=model, prototype_data=X_df, model_name="susan/model")
 
-    board = pins.board_rsconnect(
+    board = pins.board_connect(
         server_url=RSC_SERVER_URL, api_key=get_key("susan"), allow_pickle_read=True
     )
 
     vetiver.vetiver_pin_write(board=board, model=v)
     connect_server = RSConnectServer(url=RSC_SERVER_URL, api_key=get_key("susan"))
     assert isinstance(board.pin_read("susan/model"), sklearn.dummy.DummyRegressor)
 
-    vetiver.deploy_rsconnect(
+    vetiver.deploy_connect(
         connect_server=connect_server,
         board=board,
         pin_name="susan/model",