Lingxian Kong 05588c1957 Add sidecar support for runtime
Split function package download functionality into a separate
container, so that it will be easy to add additional runtime support.

I was planning to use kubernetes new verion apps api in qinling, but
failed because the kubernetes client in global requirement is not
updated yet, so I comment the code out in case we use them in future.

Change-Id: I0709b8ac689638b78e00ca35d0fea2db6cae0d0f
Story: 2001580
Task: 6607
2018-03-06 01:31:16 +00:00

216 lines
6.6 KiB
Python

# Copyright 2017 Catalyst IT Limited
#
# 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 importlib
import json
from multiprocessing import Manager
from multiprocessing import Process
import os
import resource
import sys
import time
import traceback
from flask import Flask
from flask import request
from flask import Response
from keystoneauth1.identity import generic
from keystoneauth1 import session
import requests
app = Flask(__name__)
DOWNLOAD_ERROR = "Failed to download function package from %s, error: %s"
INVOKE_ERROR = "Function execution failed because of too much resource " \
"consumption"
def _print_trace():
exc_type, exc_value, exc_traceback = sys.exc_info()
lines = traceback.format_exception(exc_type, exc_value, exc_traceback)
print(''.join(line for line in lines))
def _set_ulimit():
"""Limit resources usage for the current process and/or its children.
Refer to https://docs.python.org/2.7/library/resource.html
"""
customized_limits = {
resource.RLIMIT_NOFILE: 1024,
resource.RLIMIT_NPROC: 128,
resource.RLIMIT_FSIZE: 61440
}
for t, soft in customized_limits.items():
_, hard = resource.getrlimit(t)
resource.setrlimit(t, (soft, hard))
def _get_responce(output, duration, logs, success, code):
return Response(
response=json.dumps(
{
'output': output,
'duration': duration,
'logs': logs,
'success': success
}
),
status=code,
mimetype='application/json'
)
def _invoke_function(execution_id, zip_file, module_name, method, arg, input,
return_dict):
"""Thie function is supposed to be running in a child process."""
# Set resource limit for current sub-process
_set_ulimit()
sys.path.insert(0, zip_file)
sys.stdout = open("%s.out" % execution_id, "w", 0)
print('Start execution: %s' % execution_id)
try:
module = importlib.import_module(module_name)
func = getattr(module, method)
return_dict['result'] = func(arg, **input) if arg else func(**input)
return_dict['success'] = True
except Exception as e:
_print_trace()
if isinstance(e, OSError) and 'Resource' in str(e):
sys.exit(1)
return_dict['result'] = str(e)
return_dict['success'] = False
finally:
print('Finished execution: %s' % execution_id)
@app.route('/execute', methods=['POST'])
def execute():
"""Invoke function.
Several things need to handle in this function:
- Save the function log
- Capture the function internal exception
- Deal with process execution error (The process may be killed for some
reason, e.g. unlimited memory allocation)
- Deal with os error for process (e.g. Resource temporarily unavailable)
"""
params = request.get_json() or {}
input = params.get('input') or {}
execution_id = params['execution_id']
download_url = params.get('download_url')
function_id = params.get('function_id')
entry = params.get('entry')
request_id = params.get('request_id')
trust_id = params.get('trust_id')
auth_url = params.get('auth_url')
username = params.get('username')
password = params.get('password')
zip_file = '/var/qinling/packages/%s.zip' % function_id
function_module, function_method = 'main', 'main'
if entry:
function_module, function_method = tuple(entry.rsplit('.', 1))
print(
'Request received, request_id: %s, execution_id: %s, input: %s, '
'auth_url: %s' %
(request_id, execution_id, input, auth_url)
)
####################################################################
#
# Download function package by calling sidecar service. We don't check the
# zip file existence here to avoid using partial file during downloading.
#
####################################################################
resp = requests.post(
'http://localhost:9091/download',
json={
'download_url': download_url,
'function_id': function_id,
'token': params.get('token')
}
)
if not resp.ok:
return _get_responce(resp.content, 0, '', False, 500)
####################################################################
#
# Provide an openstack session to user's function
#
####################################################################
os_session = None
if auth_url:
auth = generic.Password(
username=username,
password=password,
auth_url=auth_url,
trust_id=trust_id,
user_domain_name='Default'
)
os_session = session.Session(auth=auth, verify=False)
input.update({'context': {'os_session': os_session}})
####################################################################
#
# Create a new process to run user's function
#
####################################################################
manager = Manager()
return_dict = manager.dict()
return_dict['success'] = False
start = time.time()
# Run the function in a separate process to avoid messing up the log
p = Process(
target=_invoke_function,
args=(execution_id, zip_file, function_module, function_method,
input.pop('__function_input', None), input, return_dict)
)
p.start()
p.join()
####################################################################
#
# Get execution output(log, duration, etc.)
#
####################################################################
duration = round(time.time() - start, 3)
# Process was killed unexpectedly or finished with error.
if p.exitcode != 0:
output = INVOKE_ERROR
success = False
else:
output = return_dict.get('result')
success = return_dict['success']
# Execution log
with open('%s.out' % execution_id) as f:
logs = f.read()
os.remove('%s.out' % execution_id)
return _get_responce(output, duration, logs, success, 200)
@app.route('/ping')
def ping():
return 'pong'