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execute_pipeline.py
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execute_pipeline.py
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#!/usr/bin/env python
# Copyright 2016 Google Inc. All Rights Reserved.
#
# 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.
"""CLI to execute pipeline either locally or remotely.
Usage: execute_pipeline.py [-h] [--remote_mode]
[--pipeline_kwargs PIPELINE_KWARGS]
pipeline_name
positional arguments:
pipeline_name The name of the pipeline to run
optional arguments:
-h, --help show this help message and exit
--remote_mode When specified, the pipeline will be executed remotely
--pipeline_kwargs PIPELINE_KWARGS
pipeline_kwargs string, e.g. {'sleep_secs':3, 'id':1}
Example:
python execute_pipeline.py --pipeline_kwargs={\'sleep_secs\':4} SamplePipeline
"""
import argparse
import ast
import os
import yaml
from taskflow import engines, task
from pipeline.pipelines import pipeline_factory
from pipeline.utils import job_util
def main():
pipeline_name, pipeline_kwargs, remote_mode = _parse_args()
pipeline = pipeline_factory.make_pipeline(pipeline_name, **pipeline_kwargs)
if remote_mode:
job_util.post_remote_pipeline_job(pipeline)
else:
# Hardcoded to execute the pipeline in serial engine, though not necessarily.
engine = engines.load(pipeline.flow, engine="serial", store=pipeline.kwargs)
engine.run()
def _CreateArgumentParser():
parser = argparse.ArgumentParser()
parser.add_argument("pipeline_name",
type=str,
help="The name of the pipeline to run")
parser.add_argument(
"--remote_mode",
action="store_true",
help="When specified, the pipeline will be executed remotely")
parser.add_argument(
"--pipeline_kwargs",
type=str,
default="{}",
help=
"pipeline_kwargs string, e.g. {\'sleep_secs\':3, \'type\':\'sample\'}")
parser.add_argument(
"--config",
type=str,
help="Comma-delimited list of the form "
+ "/path/to/config.yaml:config_section")
parser.add_argument(
"--reporoot",
type=str,
default="..",
help="Root directory where the input, output, and tool repositories live")
return parser
def _load_config_spec(config_spec, repl_vars):
(config_path, config_sections) = config_spec.strip().split(':')
config_sections = config_sections.split('|')
data = {}
with open(config_path) as config_file:
all_config_data = yaml.load(config_file)
for section in config_sections:
data.update(all_config_data[section])
repl_vars["THISDIR"] = os.path.dirname(config_path)
_var_replace_config_data(data, repl_vars)
del repl_vars["THISDIR"]
return data
def _parse_args():
parser = _CreateArgumentParser()
flags = parser.parse_args()
pipeline_args = {}
repl_vars = {"REPOROOT": flags.reporoot}
if flags.config:
for config_spec in flags.config.split(','):
config_args = _load_config_spec(config_spec, repl_vars)
pipeline_args.update(config_args)
cmd_args = ast.literal_eval(flags.pipeline_kwargs)
pipeline_args.update(cmd_args)
print "Final args:"
for (k, v) in pipeline_args.iteritems():
print " ", k, ":", v
return (flags.pipeline_name,
pipeline_args,
flags.remote_mode)
def _var_replace_config_data(data, repl_vars):
for (k, v) in data.items():
if type(v) is list:
data[k] = [_var_replace(lv, repl_vars) for lv in v]
elif type(v) is not bool:
data[k] = _var_replace(v, repl_vars)
def _var_replace(in_str, repl_vars):
new_str = in_str
for (k, v) in repl_vars.iteritems():
new_str = new_str.replace('${' + k + '}', v)
return new_str
if __name__ == "__main__":
main()