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Declarative Machine Learning
#!/usr/bin/env python3
# -------------------------------------------------------------
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you 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 sys
import subprocess
import shlex
import re
import tempfile
import os
# Subprocess and log parsing related functions
def subprocess_exec(cmd_string, log_file_path=None, extract=None):
"""
Execute the input string as subprocess
cmd_string: String
Input string to be executed as a sub process
extract: String
Based on extract as time/dir we extract this information from
the logs accordingly
log_file_path: String
Path to write the log file
return: String
Based on extract we return the relevant string
"""
# Debug
# print(cmd_string)
exec_command = shlex.split(cmd_string)
log_file = None
is_temp_file = False
if log_file_path is not None:
log_file_path = log_file_path + '.log'
log_file = open(log_file_path, "w+")
else:
os_log_file, log_file_path = tempfile.mkstemp()
log_file = os.fdopen(os_log_file, 'w+')
is_temp_file = True
log_file.write(' '.join(exec_command))
log_file.write('\n')
proc1 = subprocess.Popen(exec_command, stdout=log_file,
stderr=subprocess.STDOUT)
proc1.wait()
return_code = proc1.returncode
log_file.close()
log_file = open(log_file_path, 'r+')
if return_code == 0:
if extract == 'time':
return_data = parse_time(log_file)
if extract == 'dir':
return_data = parse_hdfs_paths(log_file)
if extract == 'hdfs_base':
return_data = parse_hdfs_base(log_file)
if extract is None:
return_data = 0
if return_code != 0:
return_data = 'proc_fail'
print('sub-process failed, return code {}'.format(return_code))
if is_temp_file:
os.remove(log_file_path)
return return_data
def parse_hdfs_base(std_outs):
"""
return: String
hdfs base uri
"""
hdfs_uri = None
for line in std_outs:
if line.startswith('hdfs://'):
hdfs_uri = line
if hdfs_uri is None:
sys.exit('HDFS URI not found')
return hdfs_uri
def write_logs(std_outs, log_file_path):
"""
Write all logs to the specified location
"""
with open(log_file_path, 'w')as log:
log.write("\n".join(std_outs))
def get_all_logs(process):
"""
Based on the subprocess capture logs
process: Process
Process object
return: List, List
Std out and Error as logs as list
"""
out_arr = []
while True:
nextline = process.stdout.readline().decode('utf8').strip()
out_arr.append(nextline)
if nextline == '' and process.poll() is not None:
break
error_arr = []
while True:
nextline = process.stderr.readline().decode('utf8').strip()
error_arr.append(nextline)
if nextline == '' and process.poll() is not None:
break
return out_arr, error_arr
def parse_hdfs_paths(std_outs):
"""
Extract the hdfs paths from the input
std_outs: List
Std outs obtained from the subprocess
return: List
Obtain a list of hdfs paths
"""
hdfs_dir = []
for i in std_outs:
if 'No such file or directory' in i:
break
elif 'hdfs' in i:
current_dir = i.split(' ')[-1]
hdfs_dir.append(current_dir)
return hdfs_dir
def parse_time(raw_logs):
"""
Parses raw input list and extracts time
raw_logs : List
Each line obtained from the standard output is in the list
return: String
Extracted time in seconds or time_not_found
"""
# Debug
# print(raw_logs)
for line in raw_logs:
if 'ERROR' in line:
return 'error'
if line.startswith('Total execution time'):
extract_time = re.findall(r'\d+', line)
total_time = '.'.join(extract_time)
return total_time
return 'time_not_found'