acknowledge the contributions of their colleagues of the SONATA
partner consortium (www.sonata-nfv.eu).
"""
+
import logging
import threading
from flask import Flask
from flask_restful import Api
+from gevent.wsgi import WSGIServer
# need to import total module to set its global variable dcs
import compute
# need to import total module to set its global variable net
import network
-from network import NetworkAction
+from network import NetworkAction, DrawD3jsgraph
import monitor
-from monitor import MonitorInterfaceAction, MonitorFlowAction, MonitorLinkAction, MonitorSkewAction
+from monitor import MonitorInterfaceAction, MonitorFlowAction, MonitorLinkAction, MonitorSkewAction, MonitorTerminal
+
+import pkg_resources
+from os import path
-logging.basicConfig(level=logging.INFO)
+logging.basicConfig()
class RestApiEndpoint(object):
default command line client.
"""
- def __init__(self, listenip, port):
+ def __init__(self, listenip, port, DCnetwork=None):
self.ip = listenip
self.port = port
+ # connect this DC network to the rest api endpoint (needed for the networking and monitoring api)
+ self.connectDCNetwork(DCnetwork)
+
# setup Flask
- self.app = Flask(__name__)
+ # find directory of dashboard files
+ dashboard_file = pkg_resources.resource_filename('emuvim.dashboard', "index.html")
+ dashboard_dir = path.dirname(dashboard_file)
+ logging.info("Started emu dashboard: {0}".format(dashboard_dir))
+
+ self.app = Flask(__name__, static_folder=dashboard_dir, static_url_path='/dashboard')
self.api = Api(self.app)
# setup endpoints
# network related actions (setup chaining between VNFs)
self.api.add_resource(NetworkAction,
"/restapi/network")
-
+ self.api.add_resource(DrawD3jsgraph,
+ "/restapi/network/d3jsgraph")
# monitoring related actions
# export a network interface traffic rate counter
# the skewness metric is exported
self.api.add_resource(MonitorSkewAction,
"/restapi/monitor/skewness")
+ # start a terminal window for the specified vnfs
+ self.api.add_resource(MonitorTerminal,
+ "/restapi/monitor/term")
+
logging.debug("Created API endpoint %s(%s:%d)" % (self.__class__.__name__, self.ip, self.port))
+
def connectDatacenter(self, dc):
compute.dcs[dc.label] = dc
logging.info(
logging.info("Started API endpoint @ http://%s:%d" % (self.ip, self.port))
def _start_flask(self):
- self.app.run(self.ip, self.port, debug=True, use_reloader=False)
+ #self.app.run(self.ip, self.port, debug=False, use_reloader=False)
+ #this should be a more production-fit http-server
+ #self.app.logger.setLevel(logging.ERROR)
+ http_server = WSGIServer((self.ip, self.port),
+ self.app,
+ log=open("/dev/null", "w") # This disables HTTP request logs to not mess up the CLI when e.g. the auto-updated dashboard is used
+ )
+ http_server.serve_forever()