def read_descriptors(descriptors, descriptor_dir, skip_listener):
"""Add to descriptors contents of descriptor archive in descriptor_dir."""
num_descriptors = 0
num_relays = 0
print('Reading descriptors from: {0}'.format(descriptor_dir))
reader = stem.descriptor.reader.DescriptorReader(descriptor_dir,validate=True)
reader.register_skip_listener(skip_listener)
with reader:
for desc in reader:
if (num_descriptors % 10000 == 0):
print('{0} descriptors processed.'.format(num_descriptors))
num_descriptors += 1
if (desc.fingerprint not in descriptors):
descriptors[desc.fingerprint] = {}
num_relays += 1
descriptors[desc.fingerprint]\
[pathsim.timestamp(desc.published)] = desc
print('#descriptors: {0}; #relays:{1}'.\
format(num_descriptors,num_relays))
def read_descriptors(descriptors, descriptor_dir, skip_listener):
"""Add to descriptors contents of descriptor archive in descriptor_dir."""
num_descriptors = 0
num_relays = 0
print('Reading descriptors from: {0}'.format(descriptor_dir))
reader = stem.descriptor.reader.DescriptorReader(descriptor_dir,
validate=True)
reader.register_skip_listener(skip_listener)
with reader:
for desc in reader:
if (num_descriptors % 10000 == 0):
print('{0} descriptors processed.'.format(num_descriptors))
num_descriptors += 1
if (desc.fingerprint not in descriptors):
descriptors[desc.fingerprint] = {}
num_relays += 1
descriptors[desc.fingerprint]\
[pathsim.timestamp(desc.published)] = desc
print('#descriptors: {0}; #relays:{1}'.\
format(num_descriptors,num_relays))
def read_descriptors(descriptors, descriptor_dir, skip_listener):
"""Add to descriptors contents of descriptor archive in descriptor_dir."""
num_descriptors = 0
num_relays = 0
print('Reading descriptors from: {0}'.format(descriptor_dir))
reader = stem.descriptor.reader.DescriptorReader(descriptor_dir,
validate=True)
reader.register_skip_listener(skip_listener)
# use read listener to store metrics type annotation, which is otherwise discarded
cur_type_annotation = [None]
def read_listener(path):
f = open(path)
# store initial metrics type annotation
initial_position = f.tell()
first_line = f.readline()
f.seek(initial_position)
if (first_line[0:5] == '@type'):
cur_type_annotation[0] = first_line
else:
cur_type_annotation[0] = None
f.close()
reader.register_read_listener(read_listener)
with reader:
for desc in reader:
if (num_descriptors % 10000 == 0):
print('{0} descriptors processed.'.format(num_descriptors))
num_descriptors += 1
if (desc.fingerprint not in descriptors):
descriptors[desc.fingerprint] = {}
num_relays += 1
# stuff type annotation into stem object
desc.type_annotation = cur_type_annotation[0]
descriptors[desc.fingerprint]\
[pathsim.timestamp(desc.published)] = desc
print('#descriptors: {0}; #relays:{1}'.\
format(num_descriptors,num_relays))
def read_descriptors(descriptors, descriptor_dir, skip_listener):
"""Add to descriptors contents of descriptor archive in descriptor_dir."""
num_descriptors = 0
num_relays = 0
print('Reading descriptors from: {0}'.format(descriptor_dir))
reader = stem.descriptor.reader.DescriptorReader(descriptor_dir,
validate=True)
reader.register_skip_listener(skip_listener)
# use read listener to store metrics type annotation, which is otherwise discarded
cur_type_annotation = [None]
def read_listener(path):
f = open(path)
# store initial metrics type annotation
initial_position = f.tell()
first_line = f.readline()
f.seek(initial_position)
if (first_line[0:5] == '@type'):
cur_type_annotation[0] = first_line
else:
cur_type_annotation[0] = None
f.close()
reader.register_read_listener(read_listener)
with reader:
for desc in reader:
if (num_descriptors % 10000 == 0):
print('{0} descriptors processed.'.format(num_descriptors))
num_descriptors += 1
if (desc.fingerprint not in descriptors):
descriptors[desc.fingerprint] = {}
num_relays += 1
# stuff type annotation into stem object
desc.type_annotation = cur_type_annotation[0]
descriptors[desc.fingerprint]\
[pathsim.timestamp(desc.published)] = desc
print('#descriptors: {0}; #relays:{1}'.\
format(num_descriptors,num_relays))
def process_consensuses(in_dirs, fat, initial_descriptor_dir):
"""For every input consensus, finds the descriptors published most recently before the descriptor times listed for the relays in that consensus, records state changes indicated by descriptors published during the consensus fresh period, and writes out pickled consensus and descriptor objects with the relevant information.
Inputs:
in_dirs: list of (consensus in dir, descriptor in dir,
processed descriptor out dir) triples *in order*
fat: Whether to use "fat" (aka full) representation or custom slim classes
initial_descriptor_dir: Contains descriptors to initialize processing.
"""
descriptors = {}
def skip_listener(path, exception):
print('ERROR [{0}]: {1}'.format(path.encode('ascii', 'ignore'), exception.__unicode__().encode('ascii','ignore')))
if fat:
print('Outputting fat classes.')
# initialize descriptors
if (initial_descriptor_dir is not None):
read_descriptors(descriptors, initial_descriptor_dir, skip_listener)
for in_consensuses_dir, in_descriptors, desc_out_dir in in_dirs:
# read all descriptors into memory
read_descriptors(descriptors, in_descriptors, skip_listener)
# output pickled consensuses, dict of most recent descriptors, and
# list of hibernation status changes
num_consensuses = 0
pathnames = []
for dirpath, dirnames, fnames in os.walk(in_consensuses_dir):
for fname in fnames:
pathnames.append(os.path.join(dirpath,fname))
pathnames.sort()
for pathname in pathnames:
filename = os.path.basename(pathname)
if (filename[0] == '.'):
continue
print('Processing consensus file {0}'.format(filename))
cons_f = open(pathname, 'rb')
# store metrics type annotation line
initial_position = cons_f.tell()
first_line = cons_f.readline()
if (first_line[0:5] == '@type'):
type_annotation = first_line
else:
type_annotation = None
cons_f.seek(initial_position)
descriptors_out = dict()
hibernating_statuses = [] # (time, fprint, hibernating)
cons_valid_after = None
cons_fresh_until = None
if not fat:
cons_bw_weights = None
cons_bwweightscale = None
relays = {}
num_not_found = 0
num_found = 0
# read in consensus document
i = 0
for document in stem.descriptor.parse_file(cons_f, validate=True,
document_handler='DOCUMENT'):
if (i > 0):
raise ValueError('Unexpectedly found more than one consensus in file: {}'.\
format(pathname))
if (cons_valid_after == None):
cons_valid_after = document.valid_after
# compute timestamp version once here
valid_after_ts = pathsim.timestamp(cons_valid_after)
if (cons_fresh_until == None):
cons_fresh_until = document.fresh_until
# compute timestamp version once here
fresh_until_ts = pathsim.timestamp(cons_fresh_until)
if not fat:
if (cons_bw_weights == None):
cons_bw_weights = document.bandwidth_weights
if (cons_bwweightscale == None) and \
('bwweightscale' in document.params):
cons_bwweightscale = document.params[\
'bwweightscale']
for fprint, r_stat in document.routers.iteritems():
relays[fprint] = pathsim.RouterStatusEntry(fprint, r_stat.nickname,
r_stat.flags, r_stat.bandwidth)
consensus = document
i += 1
# find relays' most recent unexpired descriptor published
# before the publication time in the consensus
# and status changes in fresh period (i.e. hibernation)
for fprint, r_stat in consensus.routers.iteritems():
pub_time = pathsim.timestamp(r_stat.published)
desc_time = 0
descs_while_fresh = []
desc_time_fresh = None
# get all descriptors with this fingerprint
if (r_stat.fingerprint in descriptors):
for t,d in descriptors[r_stat.fingerprint].items():
# update most recent desc seen before cons pubtime
# allow pubtime after valid_after but not fresh_until
if (valid_after_ts-t <\
pathsim.TorOptions.router_max_age) and\
(t <= pub_time) and (t > desc_time) and\
(t <= fresh_until_ts):
desc_time = t
# store fresh-period descs for hibernation tracking
if (t >= valid_after_ts) and \
(t <= fresh_until_ts):
descs_while_fresh.append((t,d))
# find most recent hibernating stat before fresh period
# prefer most-recent descriptor before fresh period
# but use oldest after valid_after if necessary
if (desc_time_fresh == None):
desc_time_fresh = t
elif (desc_time_fresh < valid_after_ts):
if (t > desc_time_fresh) and\
(t <= valid_after_ts):
desc_time_fresh = t
else:
if (t < desc_time_fresh):
desc_time_fresh = t
# output best descriptor if found
if (desc_time != 0):
num_found += 1
# store discovered recent descriptor
desc = descriptors[r_stat.fingerprint][desc_time]
if not fat:
descriptors_out[r_stat.fingerprint] = \
pathsim.ServerDescriptor(desc.fingerprint, \
desc.hibernating, desc.nickname, \
desc.family, desc.address, \
desc.exit_policy, desc.ntor_onion_key)
else:
if (desc.type_annotation is not None):
descriptors_out[r_stat.fingerprint] = desc.type_annotation + str(desc)
else:
descriptors_out[r_stat.fingerprint] = str(desc)
# store hibernating statuses
if (desc_time_fresh == None):
raise ValueError('Descriptor error for {0}:{1}.\n Found descriptor before published date {2}: {3}\nDid not find descriptor for initial hibernation status for fresh period starting {4}.'.format(r_stat.nickname, r_stat.fingerprint, pub_time, desc_time, valid_after_ts))
desc = descriptors[r_stat.fingerprint][desc_time_fresh]
cur_hibernating = desc.hibernating
# setting initial status
hibernating_statuses.append((0, desc.fingerprint,\
cur_hibernating))
if (cur_hibernating):
print('{0}:{1} was hibernating at consenses period start'.format(desc.nickname, desc.fingerprint))
descs_while_fresh.sort(key = lambda x: x[0])
for (t,d) in descs_while_fresh:
if (d.hibernating != cur_hibernating):
cur_hibernating = d.hibernating
hibernating_statuses.append(\
(t, d.fingerprint, cur_hibernating))
if (cur_hibernating):
print('{0}:{1} started hibernating at {2}'\
.format(d.nickname, d.fingerprint, t))
else:
print('{0}:{1} stopped hibernating at {2}'\
.format(d.nickname, d.fingerprint, t))
else:
# print(\
# 'Descriptor not found for {0}:{1}:{2}'.format(\
# r_stat.nickname,r_stat.fingerprint, pub_time))
num_not_found += 1
# output pickled consensus, recent descriptors, and
# hibernating status changes
if (cons_valid_after != None) and\
(cons_fresh_until != None):
if not fat:
consensus_out = pathsim.NetworkStatusDocument(\
cons_valid_after, cons_fresh_until, cons_bw_weights,\
cons_bwweightscale, relays)
else:
if (type_annotation is not None):
consensus_out = type_annotation + str(consensus)
else:
consensus_out = str(consensus)
hibernating_statuses.sort(key = lambda x: x[0],\
reverse=True)
outpath = os.path.join(desc_out_dir,\
cons_valid_after.strftime(\
'%Y-%m-%d-%H-%M-%S-network_state'))
f = open(outpath, 'wb')
pickle.dump(consensus_out, f, pickle.HIGHEST_PROTOCOL)
pickle.dump(descriptors_out,f,pickle.HIGHEST_PROTOCOL)
pickle.dump(hibernating_statuses,f,pickle.HIGHEST_PROTOCOL)
f.close()
print('Wrote descriptors for {0} relays.'.\
format(num_found))
print('Did not find descriptors for {0} relays\n'.\
format(num_not_found))
else:
print('Problem parsing {0}.'.format(filename))
num_consensuses += 1
cons_f.close()
print('# consensuses: {0}'.format(num_consensuses))
def process_consensuses(in_dirs, slim, initial_descriptor_dir):
"""For every input consensus, finds the descriptors published most recently before the descriptor times listed for the relays in that consensus, records state changes indicated by descriptors published during the consensus fresh period, and writes out pickled consensus and descriptor objects with the relevant information.
Inputs:
in_dirs: list of (consensus in dir, descriptor in dir,
processed descriptor out dir) triples *in order*
slim: Whether to use custom slim classes or Stem classes.
initial_descriptor_dir: Contains descriptors to initialize processing.
"""
descriptors = {}
def skip_listener(path, exception):
print('ERROR [{0}]: {1}'.format(
path.encode('ascii', 'ignore'),
exception.__unicode__().encode('ascii', 'ignore')))
if slim:
print('Outputting slim classes.')
# initialize descriptors
if (initial_descriptor_dir is not None):
read_descriptors(descriptors, initial_descriptor_dir, skip_listener)
for in_consensuses_dir, in_descriptors, desc_out_dir in in_dirs:
# read all descriptors into memory
read_descriptors(descriptors, in_descriptors, skip_listener)
# output pickled consensuses, dict of most recent descriptors, and
# list of hibernation status changes
num_consensuses = 0
pathnames = []
for dirpath, dirnames, fnames in os.walk(in_consensuses_dir):
for fname in fnames:
pathnames.append(os.path.join(dirpath, fname))
pathnames.sort()
for pathname in pathnames:
filename = os.path.basename(pathname)
if (filename[0] == '.'):
continue
print('Processing consensus file {0}'.format(filename))
cons_f = open(pathname, 'rb')
# store metrics type annotation line
initial_position = cons_f.tell()
first_line = cons_f.readline()
if (first_line[0:5] == '@type'):
type_annotation = first_line
else:
type_annotation = None
cons_f.seek(initial_position)
descriptors_out = dict()
hibernating_statuses = [] # (time, fprint, hibernating)
cons_valid_after = None
cons_fresh_until = None
if slim:
cons_bw_weights = None
cons_bwweightscale = None
relays = {}
num_not_found = 0
num_found = 0
# read in consensus document
i = 0
for document in stem.descriptor.parse_file(
cons_f, validate=True, document_handler='DOCUMENT'):
if (i > 0):
raise ValueError('Unexpectedly found more than one consensus in file: {}'.\
format(pathname))
if (cons_valid_after == None):
cons_valid_after = document.valid_after
# compute timestamp version once here
valid_after_ts = pathsim.timestamp(cons_valid_after)
if (cons_fresh_until == None):
cons_fresh_until = document.fresh_until
# compute timestamp version once here
fresh_until_ts = pathsim.timestamp(cons_fresh_until)
if slim:
if (cons_bw_weights == None):
cons_bw_weights = document.bandwidth_weights
if (cons_bwweightscale == None) and \
('bwweightscale' in document.params):
cons_bwweightscale = document.params[\
'bwweightscale']
for r_stat in document.routers:
relays[r_stat.fingerprint] = pathsim.RouterStatusEntry(\
r_stat.fingerprint, r_stat.nickname, r_stat.flags, r_stat.bandwidth)
consensus = document
i += 1
# find relays' most recent unexpired descriptor published
# before the publication time in the consensus
# and status changes in fresh period (i.e. hibernation)
for fprint, r_stat in consensus.routers.iteritems():
pub_time = pathsim.timestamp(r_stat.published)
desc_time = 0
descs_while_fresh = []
desc_time_fresh = None
# get all descriptors with this fingerprint
if (r_stat.fingerprint in descriptors):
for t, d in descriptors[r_stat.fingerprint].items():
# update most recent desc seen before cons pubtime
# allow pubtime after valid_after but not fresh_until
if (valid_after_ts-t <\
pathsim.TorOptions.router_max_age) and\
(t <= pub_time) and (t > desc_time) and\
(t <= fresh_until_ts):
desc_time = t
# store fresh-period descs for hibernation tracking
if (t >= valid_after_ts) and \
(t <= fresh_until_ts):
descs_while_fresh.append((t, d))
# find most recent hibernating stat before fresh period
# prefer most-recent descriptor before fresh period
# but use oldest after valid_after if necessary
if (desc_time_fresh == None):
desc_time_fresh = t
elif (desc_time_fresh < valid_after_ts):
if (t > desc_time_fresh) and\
(t <= valid_after_ts):
desc_time_fresh = t
else:
if (t < desc_time_fresh):
desc_time_fresh = t
# output best descriptor if found
if (desc_time != 0):
num_found += 1
# store discovered recent descriptor
desc = descriptors[r_stat.fingerprint][desc_time]
if slim:
descriptors_out[r_stat.fingerprint] = \
pathsim.ServerDescriptor(desc.fingerprint, \
desc.hibernating, desc.nickname, \
desc.family, desc.address, \
desc.exit_policy, desc.ntor_onion_key)
else:
if (desc.type_annotation is not None):
descriptors_out[
r_stat.
fingerprint] = desc.type_annotation + str(desc)
else:
descriptors_out[r_stat.fingerprint] = str(desc)
# store hibernating statuses
if (desc_time_fresh == None):
raise ValueError(
'Descriptor error for {0}:{1}.\n Found descriptor before published date {2}: {3}\nDid not find descriptor for initial hibernation status for fresh period starting {4}.'
.format(r_stat.nickname, r_stat.fingerprint,
pub_time, desc_time, valid_after_ts))
desc = descriptors[r_stat.fingerprint][desc_time_fresh]
cur_hibernating = desc.hibernating
# setting initial status
hibernating_statuses.append((0, desc.fingerprint,\
cur_hibernating))
if (cur_hibernating):
print(
'{0}:{1} was hibernating at consenses period start'
.format(desc.nickname, desc.fingerprint))
descs_while_fresh.sort(key=lambda x: x[0])
for (t, d) in descs_while_fresh:
if (d.hibernating != cur_hibernating):
cur_hibernating = d.hibernating
hibernating_statuses.append(\
(t, d.fingerprint, cur_hibernating))
if (cur_hibernating):
print('{0}:{1} started hibernating at {2}'\
.format(d.nickname, d.fingerprint, t))
else:
print('{0}:{1} stopped hibernating at {2}'\
.format(d.nickname, d.fingerprint, t))
else:
# print(\
# 'Descriptor not found for {0}:{1}:{2}'.format(\
# r_stat.nickname,r_stat.fingerprint, pub_time))
num_not_found += 1
# output pickled consensus, recent descriptors, and
# hibernating status changes
if (cons_valid_after != None) and\
(cons_fresh_until != None):
if slim:
consensus_out = pathsim.NetworkStatusDocument(\
cons_valid_after, cons_fresh_until, cons_bw_weights,\
cons_bwweightscale, relays)
else:
if (type_annotation is not None):
consensus_out = type_annotation + str(consensus)
else:
consensus_out = str(consensus)
hibernating_statuses.sort(key = lambda x: x[0],\
reverse=True)
outpath = os.path.join(desc_out_dir,\
cons_valid_after.strftime(\
'%Y-%m-%d-%H-%M-%S-network_state'))
f = open(outpath, 'wb')
pickle.dump(consensus_out, f, pickle.HIGHEST_PROTOCOL)
pickle.dump(descriptors_out, f, pickle.HIGHEST_PROTOCOL)
pickle.dump(hibernating_statuses, f, pickle.HIGHEST_PROTOCOL)
f.close()
print('Wrote descriptors for {0} relays.'.\
format(num_found))
print('Did not find descriptors for {0} relays\n'.\
format(num_not_found))
else:
print('Problem parsing {0}.'.format(filename))
num_consensuses += 1
cons_f.close()
print('# consensuses: {0}'.format(num_consensuses))
for fname in fnames:
pathnames.append(os.path.join(dirpath,fname))
pathnames.sort()
for pathname in pathnames:
filename = os.path.basename(pathname)
if (filename[0] == '.'):
continue
print('Processing consensus file {0}'.format(filename))
cons_valid_after = None
cons_f = open(pathname, 'rb')
for r_stat in sd.parse_file(cons_f, validate=False):
if (cons_valid_after == None):
cons_valid_after = r_stat.document.valid_after
# compute timestamp version once here
valid_after_ts = pathsim.timestamp(cons_valid_after)
if (r_stat.fingerprint in relay_ips):
if (r_stat.address not in relay_ips[r_stat.fingerprint]):
relay_ips[r_stat.fingerprint][r_stat.address] = [valid_after_ts]
else:
relay_ips[r_stat.fingerprint][r_stat.address].append(valid_after_ts)
for relay in relays:
print('{0}:'.format(relay), end='')
for ip in relay_ips[relay]:
print('\t{0}'.format(ip), end='')
print('') #newline
### Get IPs for top guards and exits 3/12-4/12, output by
for fname in fnames:
pathnames.append(os.path.join(dirpath, fname))
pathnames.sort()
for pathname in pathnames:
filename = os.path.basename(pathname)
if (filename[0] == '.'):
continue
print('Processing consensus file {0}'.format(filename))
cons_valid_after = None
cons_f = open(pathname, 'rb')
for r_stat in sd.parse_file(cons_f, validate=False):
if (cons_valid_after == None):
cons_valid_after = r_stat.document.valid_after
# compute timestamp version once here
valid_after_ts = pathsim.timestamp(cons_valid_after)
if (r_stat.fingerprint in relay_ips):
if (r_stat.address not in relay_ips[r_stat.fingerprint]):
relay_ips[r_stat.fingerprint][r_stat.address] = [
valid_after_ts
]
else:
relay_ips[r_stat.fingerprint][r_stat.address].append(
valid_after_ts)
for relay in relays:
print('{0}:'.format(relay), end='')
for ip in relay_ips[relay]:
print('\t{0}'.format(ip), end='')
print('') #newline
