Rename Lightning Fabric CLI (#19442)

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Jirka Borovec <6035284+Borda@users.noreply.github.com>

docs/source-fabric/fundamentals/launch.rst

@@ -67,7 +67,7 @@ An alternative way to launch your Python script in multiple processes is to use
 
 .. code-block:: bash
 
-    lightning run model path/to/your/script.py
+    fabric run model path/to/your/script.py
 
 This is essentially the same as running ``python path/to/your/script.py``, but it also lets you configure the following settings externally without changing your code:
 
@@ -80,9 +80,9 @@ This is essentially the same as running ``python path/to/your/script.py``, but i
 
 .. code-block:: bash
 
-    lightning run model --help
+    fabric run model --help
 
-    Usage: lightning run model [OPTIONS] SCRIPT [SCRIPT_ARGS]...
+    Usage: fabric run model [OPTIONS] SCRIPT [SCRIPT_ARGS]...
 
       Run a Lightning Fabric script.
 
@@ -128,7 +128,7 @@ Here is how you run DDP with 8 GPUs and `torch.bfloat16 <https://pytorch.org/doc
 
 .. code-block:: bash
 
-    lightning run model ./path/to/train.py \
+    fabric run model ./path/to/train.py \
         --strategy=ddp \
         --devices=8 \
         --accelerator=cuda \
@@ -138,7 +138,7 @@ Or `DeepSpeed Zero3 <https://www.deepspeed.ai/2021/03/07/zero3-offload.html>`_ w
 
 .. code-block:: bash
 
-     lightning run model ./path/to/train.py \
+     fabric run model ./path/to/train.py \
         --strategy=deepspeed_stage_3 \
         --devices=8 \
         --accelerator=cuda \
@@ -148,7 +148,7 @@ Or `DeepSpeed Zero3 <https://www.deepspeed.ai/2021/03/07/zero3-offload.html>`_ w
 
 .. code-block:: bash
 
-    lightning run model ./path/to/train.py \
+    fabric run model ./path/to/train.py \
         --devices=auto \
         --accelerator=auto \
         --precision=16

src/lightning/__setup__.py

@@ -114,6 +114,8 @@ def _setup_args() -> Dict[str, Any]:
         "python_requires": ">=3.8",  # todo: take the lowes based on all packages
         "entry_points": {
             "console_scripts": [
+                "fabric = lightning.fabric.cli:_main",
+                "lightning = lightning.fabric.cli:_legacy_main",
                 "lightning_app = lightning:_cli_entry_point",
             ],
         },

src/lightning/fabric/CHANGELOG.md

@@ -17,7 +17,7 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/).
 
 ### Changed
 
--
+- Rename `lightning run model` to `fabric run model` ([#19442](https://github.com/Lightning-AI/pytorch-lightning/pull/19442))
 
 -
 

src/lightning/fabric/cli.py

@@ -14,6 +14,8 @@
 import logging
 import os
 import re
+import subprocess
+import sys
 from argparse import Namespace
 from typing import Any, List, Optional
 
@@ -29,6 +31,7 @@
 _log = logging.getLogger(__name__)
 
 _CLICK_AVAILABLE = RequirementCache("click")
+_LIGHTNING_SDK_AVAILABLE = RequirementCache("lightning_sdk")
 
 _SUPPORTED_ACCELERATORS = ("cpu", "gpu", "cuda", "mps", "tpu")
 
@@ -44,7 +47,32 @@ def _get_supported_strategies() -> List[str]:
 if _CLICK_AVAILABLE:
     import click
 
-    @click.command(
+    def _legacy_main() -> None:
+        """Legacy CLI handler for fabric.
+
+        Raises deprecation warning and runs through fabric cli if necessary, else runs the entrypoint directly
+
+        """
+        print("`lightning run model` is deprecated and will be removed in future versions."
+            " Please call `fabric run model` instead.")
+        args = sys.argv[1:]
+        if args and args[0] == "run" and args[1] == "model":
+            _main()
+            return
+
+        if _LIGHTNING_SDK_AVAILABLE:
+            subprocess.run([sys.executable, "-m", "lightning_sdk.cli.entrypoint"] + args)
+            return
+
+    @click.group()
+    def _main() -> None:
+        pass
+
+    @_main.group()
+    def run() -> None:
+        pass
+
+    @run.command(
         "model",
         context_settings={
             "ignore_unknown_options": True,

src/lightning_fabric/__setup__.py

@@ -78,6 +78,11 @@ def _setup_args() -> Dict[str, Any]:
         "install_requires": assistant.load_requirements(
             _PATH_REQUIREMENTS, unfreeze="none" if _FREEZE_REQUIREMENTS else "all"
         ),
+        "entry_points": {
+            "console_scripts": [
+                "fabric = lightning_fabric.cli:_main",
+            ],
+        },
         "extras_require": _prepare_extras(),
         "project_urls": {
             "Bug Tracker": "https://github.com/Lightning-AI/lightning/issues",

tests/tests_fabric/test_cli.py

@@ -21,7 +21,6 @@
 
 import pytest
 from lightning.fabric.cli import _get_supported_strategies, _run_model
-from lightning_utilities.core.imports import ModuleAvailableCache
 
 from tests_fabric.helpers.runif import RunIf
 
@@ -176,13 +175,20 @@ def test_cli_torchrun_num_processes_launched(_, devices, expected, monkeypatch,
     )
 
 
+def test_cli_through_fabric_entry_point():
+    result = subprocess.run("fabric run model --help", capture_output=True, text=True, shell=True)
+
+    message = "Usage: fabric run model [OPTIONS] SCRIPT [SCRIPT_ARGS]"
+    assert message in result.stdout or message in result.stderr
+
 @pytest.mark.skipif("lightning.fabric" == "lightning_fabric", reason="standalone package")
 def test_cli_through_lightning_entry_point():
     result = subprocess.run("lightning run model --help", capture_output=True, text=True, shell=True)
-    if not ModuleAvailableCache("lightning.app"):
-        message = "The `lightning` command requires additional dependencies"
-        assert message in result.stdout or message in result.stderr
-        assert result.returncode != 0
-    else:
-        message = "Usage: lightning run model [OPTIONS] SCRIPT [SCRIPT_ARGS]"
-        assert message in result.stdout or message in result.stderr
+
+    deprecation_message = (
+        "`lightning run model` is deprecated and will be removed in future versions. "
+        "Please call `fabric run model` instead"
+    )
+    message = "Usage: lightning run model [OPTIONS] SCRIPT [SCRIPT_ARGS]"
+    assert deprecation_message in result.stdout
+    assert message in result.stdout or message in result.stderr