p4tutorials-turkce/utils/run_exercise.py
sibanez12 76a9067dea SIGCOMM 2019 Tutorial Edits (#272)
* Updated the utils/run_exercise.py to allow exercises to customize
host configuration from the topology.json file.

Now hosts and `ping` each other in the basic exercise. Other Linux
utilities should work as well (e.g. iperf).

```
mininet> h1 ping h2
PING 10.0.2.2 (10.0.2.2) 56(84) bytes of data.
64 bytes from 10.0.2.2: icmp_seq=1 ttl=62 time=3.11 ms
64 bytes from 10.0.2.2: icmp_seq=2 ttl=62 time=2.34 ms
64 bytes from 10.0.2.2: icmp_seq=3 ttl=62 time=2.15 ms
^C
--- 10.0.2.2 ping statistics ---
3 packets transmitted, 3 received, 0% packet loss, time 2003ms
rtt min/avg/max/mdev = 2.153/2.540/3.118/0.416 ms
mininet> pingall
*** Ping: testing ping reachability
h1 -> h2 h3
h2 -> h1 h3
h3 -> h1 h2
*** Results: 0% dropped (6/6 received)
```

Only updated basic exercise, still need to update other exercises.

Also, updated the root-bootstrap.sh because I was running into issues
with latest version of vagrant.

* Accidentially added the solution to the basic exercise in the previous
commit. Undoing that here ...

* Updated the topology.json file and table entries for the basic_tunnel
exercise.

* Updated P4Runtime exercise with new topology and table entries.

* Fixed MAC addresses in P4Runtime exercise. It is working now.

* Fixed MAC addresses in P4Runtime exercise starter code

* Updated ECN exercise to use new topology.json file. Updated the
table entries / MAC addresses as well.

* Updated the topology.json file and table entries for the MRI exercise.

* Updated source_routing exercise with new topology file and verified
correct functionality.

* Updated load_balance exercise with new topology.

* Moved basic exercise triangle topology into a separate folder

* Added new topology for the basic exercise: a single pod of a fat-tree.

* Updated Makefiles and run_exercise.py to allow exercises to configure
each switch with a different P4 program. This is mainly for the
firewall exercise.

* Updated Makefiles of project to work with new utils/Makefile

* Updated load_balance and p4runtime exercise Makefiles

* Initial commit of the firewall exercise, which is a simple stateful
firewall that uses a bloom filter. Need to update README files

* Initial commit of the path_monitor exercise. It is working but still
need to update the README and figure out what we want the tutorial
attendees to implement.

* Updated README file in firewall exercise. Also removed the bits
from the starter code that we want the tutorial attendees to
implement

* Renamed path_monitor exercise to link_monitor

* Updated the README in the link_monitor exercise and removed the
bits from the starter code that we want the tutorial attendees
to implement.

* Updated README for the firewall exercise

* Adding pod-topo.png image to basic exercise

* Added firewall-topo.png image to firewall exercise

* Added link-monitor-topo.png to link_monitor exercise

* Updated README files to point to topology images

* Updated top-level README to point to new exercises.

* Fixed link for VM dependencies script in README

* Updated bmv2/pi/p4c commits

* Updated README files for exercises to fix some typos and added
a note about the V1Model architecture.

* Added a note about food for thought in the link_monitor README

* Updated the firewall.p4 program to use two register arrays rather
than a single one. This is to make the design more portable to
high line rate devices which can only support a single access
to each register array.

* Minor fix to firewall exercise to get rid of compiler warning.

* Updated comment in firewall exercise.

* Minor (typo) fixes in the firewall ReadMe

* More info in firewall exercise ReadMe step 2

* Updated firewall.p4 to reuse direction variable

* More testing steps, small fixes in firewall exercise Readme

* Added food for thought to firewall Readme

* Cosmetic fixes to firewall ReadMe

* Made a few updates to the basic exercise README and added more
details to the link_monitor exercise README.

Also added a command to install grip when provisioning the VM.
This could be useful for rendering the markdown README files offline.

* Updated top level README so it can be merged into the master branch.

* Moved cmd to install grip from root-bootstrap to user-bootstrap
2019-08-14 06:39:06 -04:00

385 lines
15 KiB
Python
Executable File

#!/usr/bin/env python2
# Copyright 2013-present Barefoot Networks, Inc.
#
# 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.
#
# Adapted by Robert MacDavid (macdavid@cs.princeton.edu) from scripts found in
# the p4app repository (https://github.com/p4lang/p4app)
#
# We encourage you to dissect this script to better understand the BMv2/Mininet
# environment used by the P4 tutorial.
#
import os, sys, json, subprocess, re, argparse
from time import sleep
from p4_mininet import P4Switch, P4Host
from mininet.net import Mininet
from mininet.topo import Topo
from mininet.link import TCLink
from mininet.cli import CLI
from p4runtime_switch import P4RuntimeSwitch
import p4runtime_lib.simple_controller
def configureP4Switch(**switch_args):
""" Helper class that is called by mininet to initialize
the virtual P4 switches. The purpose is to ensure each
switch's thrift server is using a unique port.
"""
if "sw_path" in switch_args and 'grpc' in switch_args['sw_path']:
# If grpc appears in the BMv2 switch target, we assume will start P4Runtime
class ConfiguredP4RuntimeSwitch(P4RuntimeSwitch):
def __init__(self, *opts, **kwargs):
kwargs.update(switch_args)
P4RuntimeSwitch.__init__(self, *opts, **kwargs)
def describe(self):
print "%s -> gRPC port: %d" % (self.name, self.grpc_port)
return ConfiguredP4RuntimeSwitch
else:
class ConfiguredP4Switch(P4Switch):
next_thrift_port = 9090
def __init__(self, *opts, **kwargs):
global next_thrift_port
kwargs.update(switch_args)
kwargs['thrift_port'] = ConfiguredP4Switch.next_thrift_port
ConfiguredP4Switch.next_thrift_port += 1
P4Switch.__init__(self, *opts, **kwargs)
def describe(self):
print "%s -> Thrift port: %d" % (self.name, self.thrift_port)
return ConfiguredP4Switch
class ExerciseTopo(Topo):
""" The mininet topology class for the P4 tutorial exercises.
"""
def __init__(self, hosts, switches, links, log_dir, bmv2_exe, pcap_dir, **opts):
Topo.__init__(self, **opts)
host_links = []
switch_links = []
# assumes host always comes first for host<-->switch links
for link in links:
if link['node1'][0] == 'h':
host_links.append(link)
else:
switch_links.append(link)
for sw, params in switches.iteritems():
if "program" in params:
switchClass = configureP4Switch(
sw_path=bmv2_exe,
json_path=params["program"],
log_console=True,
pcap_dump=pcap_dir)
else:
# add default switch
switchClass = None
self.addSwitch(sw, log_file="%s/%s.log" %(log_dir, sw), cls=switchClass)
for link in host_links:
host_name = link['node1']
sw_name, sw_port = self.parse_switch_node(link['node2'])
host_ip = hosts[host_name]['ip']
host_mac = hosts[host_name]['mac']
self.addHost(host_name, ip=host_ip, mac=host_mac)
self.addLink(host_name, sw_name,
delay=link['latency'], bw=link['bandwidth'],
port2=sw_port)
for link in switch_links:
sw1_name, sw1_port = self.parse_switch_node(link['node1'])
sw2_name, sw2_port = self.parse_switch_node(link['node2'])
self.addLink(sw1_name, sw2_name,
port1=sw1_port, port2=sw2_port,
delay=link['latency'], bw=link['bandwidth'])
def parse_switch_node(self, node):
assert(len(node.split('-')) == 2)
sw_name, sw_port = node.split('-')
try:
sw_port = int(sw_port[1])
except:
raise Exception('Invalid switch node in topology file: {}'.format(node))
return sw_name, sw_port
class ExerciseRunner:
"""
Attributes:
log_dir : string // directory for mininet log files
pcap_dir : string // directory for mininet switch pcap files
quiet : bool // determines if we print logger messages
hosts : dict<string, dict> // mininet host names and their associated properties
switches : dict<string, dict> // mininet switch names and their associated properties
links : list<dict> // list of mininet link properties
switch_json : string // json of the compiled p4 example
bmv2_exe : string // name or path of the p4 switch binary
topo : Topo object // The mininet topology instance
net : Mininet object // The mininet instance
"""
def logger(self, *items):
if not self.quiet:
print(' '.join(items))
def format_latency(self, l):
""" Helper method for parsing link latencies from the topology json. """
if isinstance(l, (str, unicode)):
return l
else:
return str(l) + "ms"
def __init__(self, topo_file, log_dir, pcap_dir,
switch_json, bmv2_exe='simple_switch', quiet=False):
""" Initializes some attributes and reads the topology json. Does not
actually run the exercise. Use run_exercise() for that.
Arguments:
topo_file : string // A json file which describes the exercise's
mininet topology.
log_dir : string // Path to a directory for storing exercise logs
pcap_dir : string // Ditto, but for mininet switch pcap files
switch_json : string // Path to a compiled p4 json for bmv2
bmv2_exe : string // Path to the p4 behavioral binary
quiet : bool // Enable/disable script debug messages
"""
self.quiet = quiet
self.logger('Reading topology file.')
with open(topo_file, 'r') as f:
topo = json.load(f)
self.hosts = topo['hosts']
self.switches = topo['switches']
self.links = self.parse_links(topo['links'])
# Ensure all the needed directories exist and are directories
for dir_name in [log_dir, pcap_dir]:
if not os.path.isdir(dir_name):
if os.path.exists(dir_name):
raise Exception("'%s' exists and is not a directory!" % dir_name)
os.mkdir(dir_name)
self.log_dir = log_dir
self.pcap_dir = pcap_dir
self.switch_json = switch_json
self.bmv2_exe = bmv2_exe
def run_exercise(self):
""" Sets up the mininet instance, programs the switches,
and starts the mininet CLI. This is the main method to run after
initializing the object.
"""
# Initialize mininet with the topology specified by the config
self.create_network()
self.net.start()
sleep(1)
# some programming that must happen after the net has started
self.program_hosts()
self.program_switches()
# wait for that to finish. Not sure how to do this better
sleep(1)
self.do_net_cli()
# stop right after the CLI is exited
self.net.stop()
def parse_links(self, unparsed_links):
""" Given a list of links descriptions of the form [node1, node2, latency, bandwidth]
with the latency and bandwidth being optional, parses these descriptions
into dictionaries and store them as self.links
"""
links = []
for link in unparsed_links:
# make sure each link's endpoints are ordered alphabetically
s, t, = link[0], link[1]
if s > t:
s,t = t,s
link_dict = {'node1':s,
'node2':t,
'latency':'0ms',
'bandwidth':None
}
if len(link) > 2:
link_dict['latency'] = self.format_latency(link[2])
if len(link) > 3:
link_dict['bandwidth'] = link[3]
if link_dict['node1'][0] == 'h':
assert link_dict['node2'][0] == 's', 'Hosts should be connected to switches, not ' + str(link_dict['node2'])
links.append(link_dict)
return links
def create_network(self):
""" Create the mininet network object, and store it as self.net.
Side effects:
- Mininet topology instance stored as self.topo
- Mininet instance stored as self.net
"""
self.logger("Building mininet topology.")
defaultSwitchClass = configureP4Switch(
sw_path=self.bmv2_exe,
json_path=self.switch_json,
log_console=True,
pcap_dump=self.pcap_dir)
self.topo = ExerciseTopo(self.hosts, self.switches, self.links, self.log_dir, self.bmv2_exe, self.pcap_dir)
self.net = Mininet(topo = self.topo,
link = TCLink,
host = P4Host,
switch = defaultSwitchClass,
controller = None)
def program_switch_p4runtime(self, sw_name, sw_dict):
""" This method will use P4Runtime to program the switch using the
content of the runtime JSON file as input.
"""
sw_obj = self.net.get(sw_name)
grpc_port = sw_obj.grpc_port
device_id = sw_obj.device_id
runtime_json = sw_dict['runtime_json']
self.logger('Configuring switch %s using P4Runtime with file %s' % (sw_name, runtime_json))
with open(runtime_json, 'r') as sw_conf_file:
outfile = '%s/%s-p4runtime-requests.txt' %(self.log_dir, sw_name)
p4runtime_lib.simple_controller.program_switch(
addr='127.0.0.1:%d' % grpc_port,
device_id=device_id,
sw_conf_file=sw_conf_file,
workdir=os.getcwd(),
proto_dump_fpath=outfile)
def program_switch_cli(self, sw_name, sw_dict):
""" This method will start up the CLI and use the contents of the
command files as input.
"""
cli = 'simple_switch_CLI'
# get the port for this particular switch's thrift server
sw_obj = self.net.get(sw_name)
thrift_port = sw_obj.thrift_port
cli_input_commands = sw_dict['cli_input']
self.logger('Configuring switch %s with file %s' % (sw_name, cli_input_commands))
with open(cli_input_commands, 'r') as fin:
cli_outfile = '%s/%s_cli_output.log'%(self.log_dir, sw_name)
with open(cli_outfile, 'w') as fout:
subprocess.Popen([cli, '--thrift-port', str(thrift_port)],
stdin=fin, stdout=fout)
def program_switches(self):
""" This method will program each switch using the BMv2 CLI and/or
P4Runtime, depending if any command or runtime JSON files were
provided for the switches.
"""
for sw_name, sw_dict in self.switches.iteritems():
if 'cli_input' in sw_dict:
self.program_switch_cli(sw_name, sw_dict)
if 'runtime_json' in sw_dict:
self.program_switch_p4runtime(sw_name, sw_dict)
def program_hosts(self):
""" Execute any commands provided in the topology.json file on each Mininet host
"""
for host_name, host_info in self.hosts.items():
h = self.net.get(host_name)
if "commands" in host_info:
for cmd in host_info["commands"]:
h.cmd(cmd)
def do_net_cli(self):
""" Starts up the mininet CLI and prints some helpful output.
Assumes:
- A mininet instance is stored as self.net and self.net.start() has
been called.
"""
for s in self.net.switches:
s.describe()
for h in self.net.hosts:
h.describe()
self.logger("Starting mininet CLI")
# Generate a message that will be printed by the Mininet CLI to make
# interacting with the simple switch a little easier.
print('')
print('======================================================================')
print('Welcome to the BMV2 Mininet CLI!')
print('======================================================================')
print('Your P4 program is installed into the BMV2 software switch')
print('and your initial runtime configuration is loaded. You can interact')
print('with the network using the mininet CLI below.')
print('')
if self.switch_json:
print('To inspect or change the switch configuration, connect to')
print('its CLI from your host operating system using this command:')
print(' simple_switch_CLI --thrift-port <switch thrift port>')
print('')
print('To view a switch log, run this command from your host OS:')
print(' tail -f %s/<switchname>.log' % self.log_dir)
print('')
print('To view the switch output pcap, check the pcap files in %s:' % self.pcap_dir)
print(' for example run: sudo tcpdump -xxx -r s1-eth1.pcap')
print('')
if 'grpc' in self.bmv2_exe:
print('To view the P4Runtime requests sent to the switch, check the')
print('corresponding txt file in %s:' % self.log_dir)
print(' for example run: cat %s/s1-p4runtime-requests.txt' % self.log_dir)
print('')
CLI(self.net)
def get_args():
cwd = os.getcwd()
default_logs = os.path.join(cwd, 'logs')
default_pcaps = os.path.join(cwd, 'pcaps')
parser = argparse.ArgumentParser()
parser.add_argument('-q', '--quiet', help='Suppress log messages.',
action='store_true', required=False, default=False)
parser.add_argument('-t', '--topo', help='Path to topology json',
type=str, required=False, default='./topology.json')
parser.add_argument('-l', '--log-dir', type=str, required=False, default=default_logs)
parser.add_argument('-p', '--pcap-dir', type=str, required=False, default=default_pcaps)
parser.add_argument('-j', '--switch_json', type=str, required=False)
parser.add_argument('-b', '--behavioral-exe', help='Path to behavioral executable',
type=str, required=False, default='simple_switch')
return parser.parse_args()
if __name__ == '__main__':
# from mininet.log import setLogLevel
# setLogLevel("info")
args = get_args()
exercise = ExerciseRunner(args.topo, args.log_dir, args.pcap_dir,
args.switch_json, args.behavioral_exe, args.quiet)
exercise.run_exercise()