Add version() API to unify with Keras and KerasNLP (#2199)

* Unify `version` API with keras and keras_nlp

* Formatting

* Update to keep `version` parity with KerasNLP, support nightly version string

* Update version_utils.py

* Update version_utils.py

Author: grasskin

keras_cv/__init__.py

@@ -41,5 +41,5 @@
 from keras_cv.core import FactorSampler
 from keras_cv.core import NormalFactorSampler
 from keras_cv.core import UniformFactorSampler
-
-__version__ = "0.8.2"
+from keras_cv.version_utils import __version__
+from keras_cv.version_utils import version

keras_cv/version_utils.py

@@ -0,0 +1,23 @@
+# Copyright 2023 The KerasCV Authors
+#
+# 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
+#
+#     https://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 keras_cv.api_export import keras_cv_export
+
+# Unique source of truth for the version number.
+__version__ = "0.8.2"
+
+
+@keras_cv_export("keras_cv.version")
+def version():
+    return __version__

pip_build.py

@@ -64,11 +64,22 @@ def export_version_string(version, is_nightly=False):
             )
             f.write(setup_contents)
 
+    # Overwrite the version string with our package version.
+    with open(os.path.join(package, "src", "version_utils.py")) as f:
+        version_contents = f.readlines()
+    with open(os.path.join(package, "src", "version_utils.py"), "w") as f:
+        for line in version_contents:
+            if line.startswith("__version__"):
+                f.write(f'__version__ = "{version}"\n')
+            else:
+                f.write(line)
+
     # Make sure to export the __version__ string
     with open(os.path.join(package, "__init__.py")) as f:
         init_contents = f.read()
     with open(os.path.join(package, "__init__.py"), "w") as f:
-        f.write(init_contents + "\n\n" + f'__version__ = "{version}"\n')
+        f.write(init_contents)
+        f.write("from keras_cv.src.version_utils import __version__\n")
 
 
 def copy_source_to_build_directory(root_path):

setup.py

@@ -21,13 +21,32 @@
 from setuptools import setup
 from setuptools.dist import Distribution
 
+
+def read(rel_path):
+    here = os.path.abspath(os.path.dirname(__file__))
+    with open(os.path.join(here, rel_path)) as fp:
+        return fp.read()
+
+
+def get_version(rel_path):
+    for line in read(rel_path).splitlines():
+        if line.startswith("__version__"):
+            delim = '"' if '"' in line else "'"
+            return line.split(delim)[1]
+    raise RuntimeError("Unable to find version string.")
+
+
 BUILD_WITH_CUSTOM_OPS = (
     "BUILD_WITH_CUSTOM_OPS" in os.environ
     and os.environ["BUILD_WITH_CUSTOM_OPS"] == "true"
 )
 
 HERE = pathlib.Path(__file__).parent
 README = (HERE / "README.md").read_text()
+if os.path.exists("keras_cv/version_utils.py"):
+    VERSION = get_version("keras_cv/version_utils.py")
+else:
+    VERSION = get_version("keras_cv/src/version_utils.py")
 
 
 class BinaryDistribution(Distribution):
@@ -45,6 +64,7 @@ def is_pure(self):
     description="Industry-strength computer Vision extensions for Keras.",
     long_description=README,
     long_description_content_type="text/markdown",
+    version=VERSION,
     url="https://github.com/keras-team/keras-cv",
     author="Keras team",
     author_email="[email protected]",