106 lines
3.4 KiB
Python
106 lines
3.4 KiB
Python
# Copyright 2018 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 argparse
|
|
import kfp.dsl as dsl
|
|
import kfp.compiler
|
|
import os
|
|
import shutil
|
|
import subprocess
|
|
import sys
|
|
import tempfile
|
|
from deprecated.sphinx import deprecated
|
|
|
|
|
|
def parse_arguments():
|
|
"""Parse command line arguments."""
|
|
|
|
parser = argparse.ArgumentParser()
|
|
parser.add_argument('--py',
|
|
type=str,
|
|
help='local absolute path to a py file.')
|
|
parser.add_argument('--function',
|
|
type=str,
|
|
help='The name of the function to compile if there are multiple.')
|
|
parser.add_argument('--namespace',
|
|
type=str,
|
|
help='The namespace for the pipeline function')
|
|
parser.add_argument('--output',
|
|
type=str,
|
|
required=True,
|
|
help='local path to the output workflow yaml file.')
|
|
parser.add_argument('--disable-type-check',
|
|
action='store_true',
|
|
help='disable the type check, default is enabled.')
|
|
|
|
args = parser.parse_args()
|
|
return args
|
|
|
|
|
|
def _compile_pipeline_function(pipeline_funcs, function_name, output_path, type_check):
|
|
if len(pipeline_funcs) == 0:
|
|
raise ValueError('A function with @dsl.pipeline decorator is required in the py file.')
|
|
|
|
if len(pipeline_funcs) > 1 and not function_name:
|
|
func_names = [x.__name__ for x in pipeline_funcs]
|
|
raise ValueError('There are multiple pipelines: %s. Please specify --function.' % func_names)
|
|
|
|
if function_name:
|
|
pipeline_func = next((x for x in pipeline_funcs if x.__name__ == function_name), None)
|
|
if not pipeline_func:
|
|
raise ValueError('The function "%s" does not exist. '
|
|
'Did you forget @dsl.pipeline decoration?' % function_name)
|
|
else:
|
|
pipeline_func = pipeline_funcs[0]
|
|
|
|
kfp.compiler.Compiler().compile(pipeline_func, output_path, type_check)
|
|
|
|
|
|
class PipelineCollectorContext():
|
|
def __enter__(self):
|
|
pipeline_funcs = []
|
|
def add_pipeline(func):
|
|
pipeline_funcs.append(func)
|
|
return func
|
|
self.old_handler = dsl._pipeline._pipeline_decorator_handler
|
|
dsl._pipeline._pipeline_decorator_handler = add_pipeline
|
|
return pipeline_funcs
|
|
|
|
def __exit__(self, *args):
|
|
dsl._pipeline._pipeline_decorator_handler = self.old_handler
|
|
|
|
|
|
def compile_pyfile(pyfile, function_name, output_path, type_check):
|
|
sys.path.insert(0, os.path.dirname(pyfile))
|
|
try:
|
|
filename = os.path.basename(pyfile)
|
|
with PipelineCollectorContext() as pipeline_funcs:
|
|
__import__(os.path.splitext(filename)[0])
|
|
_compile_pipeline_function(pipeline_funcs, function_name, output_path, type_check)
|
|
finally:
|
|
del sys.path[0]
|
|
|
|
|
|
def main():
|
|
args = parse_arguments()
|
|
if args.py is None:
|
|
raise ValueError('The --py option must be specified.')
|
|
compile_pyfile(
|
|
args.py,
|
|
args.function,
|
|
args.output,
|
|
not args.disable_type_check,
|
|
)
|