def create_append_subscribe():
# http://stackoverflow.com/questions/2257441/random-string-generation-with-upper-case-letters-and-digits-in-python
name_str = 'python.test.writer_subscriber2_test.' + ''.join(random.SystemRandom().choice(string.ascii_uppercase + string.digits) for _ in range(10))
print "Name: " + name_str;
gcl_name = gdp.GDP_NAME(name_str);
print "Trying to create using " + platform.node();
logd_name = gdp.GDP_NAME(platform.node());
print "About to create " + name_str
try:
gdp.GDP_GCL.create(gcl_name, logd_name, '');
except :
# If run with "python writer_subscriber2_test.py foo"
# and the router and logd daemons are not running, then we end up here.
# FIXME: Probably don't want to hardcode in the log name
logd_name = gdp.GDP_NAME('edu.berkeley.eecs.gdp-01.gdplogd');
gdp.GDP_GCL.create(gcl_name, logd_name, '');
print "Created " + name_str
print "Get the writer"
gcl_handle_writer = gdp.GDP_GCL(gcl_name, gdp.GDP_MODE_AO);
print "Get the subscriber"
gcl_handle_subscriber = gdp.GDP_GCL(gcl_name, gdp.GDP_MODE_RO)
print "Make the subscribe call"
# This is the actual subscribe call.
gcl_handle_subscriber.subscribe(0, 0, None)
print "About to loop"
count = 0
outputList = []
while count < 10:
count += 1
line = str(count)
# Create a minimalist datum dictionary
datum = {"data": line}
print "About to append data"
gcl_handle_writer.append(datum) # Write this datum to the GCL
print "Done appending data"
timeout = {'tv_sec':1, 'tv_nsec':0, 'tv_accuracy':0.0}
print "About to call get_next_event()"
event = gcl_handle_subscriber.get_next_event(timeout)
datum = event["datum"]
handle = event["gcl_handle"]
print datum
outputList.append(datum['data'])
expectedList = ['1', '2', '3', '4', '5', '6', '7', '8', '9', '10']
if outputList != expectedList:
raise ValueError(', '.join(map(str, outputList)) + " was not equal to " + ', '.join(map(str, expectedList)))
print "OK"
def gcl_subscription_init():
gdp.gdp_init()
gcl_input = "ph.edu.upd.pcari.jasper.data"
print "gcl: [%r]" % gcl_input
gcl_name = gdp.GDP_NAME(gcl_input)
gcl_handle = gdp.GDP_GCL(gcl_name, gdp.GDP_MODE_RO)
return gcl_handle
def open_gcl_write(gcl_complete_name_str):
print "opening for writing: %s" % gcl_complete_name_str
skey = gdp.EP_CRYPTO_KEY(filename=gcl_complete_name_str + ".pem",
keyform=gdp.EP_CRYPTO_KEYFORM_PEM,
flags=gdp.EP_CRYPTO_F_SECRET)
gcl_name = gdp.GDP_NAME(gcl_complete_name_str)
return gdp.GDP_GCL(gcl_name, gdp.GDP_MODE_AO, open_info={'skey': skey})
def main(*args):
obj_name_mapping = {}
for name_str in args:
# create a python object
gcl_name = gdp.GDP_NAME(name_str)
# Assume that the GCL already exists
gcl_handle = gdp.GDP_GCL(gcl_name, gdp.GDP_MODE_RO)
obj_name_mapping[gcl_handle] = name_str
# this is the actual subscribe call
gcl_handle.subscribe(0, 0, None)
while True:
# This blocks, until there is a new event
event = gdp.GDP_GCL.get_next_event(None)
datum = event["datum"]
gcl_name = obj_name_mapping[event["gcl_handle"]]
readable_time = time.ctime(datum["ts"]["tv_sec"] +
(datum["ts"]["tv_nsec"] * 1.0 / 10**9))
print_str = ">>> gcl_name: %s\n>>> recno: %d, ts: %s\n%s" % (
gcl_name, datum["recno"], readable_time, datum["data"])
print print_str
def main(name_str):
# Create a GDP_NAME object from a python string provided as argument.
print "Name: " + name_str
gcl_name = gdp.GDP_NAME(name_str)
gcl_handle_writer = gdp.GDP_GCL(gcl_name, gdp.GDP_MODE_AO)
gcl_handle_subscriber = gdp.GDP_GCL(gcl_name, gdp.GDP_MODE_RO)
# this is the actual subscribe call
gcl_handle_subscriber.subscribe(0, 0, None)
count = 0
while count < 10:
count += 1
line = str(count)
# Create a minimalist datum dictionary
datum = {"data": line}
gcl_handle_writer.append(datum) # Write this datum to the GCL
timeout = {'tv_sec': 1, 'tv_nsec': 0, 'tv_accuracy': 0.0}
print "About to call get_next_event()"
event = gcl_handle_subscriber.get_next_event(timeout)
datum = event["datum"]
handle = event["gcl_handle"]
print datum
def store_reported_location(fileName, logNames):
"""Example implementation of the listener for reported locations. The function listens for reported locations
and stores them in a file.
logNames - List of log names where the locations are reported (implements the report location primitive(s) of the SLI).
fileName - Name of the file where the received locations are stored.
"""
obj_name_mapping = {}
for name_str in logNames:
gcl_name = gdp.GDP_NAME(name_str)
gcl_handle = gdp.GDP_GCL(gcl_name, gdp.GDP_MODE_RO)
obj_name_mapping[gcl_handle] = name_str
gcl_handle.subscribe(0, 0, None)
while True:
event = gdp.GDP_GCL.get_next_event(None)
timestamp_end = time.time()
datum = event["datum"]
gcl_name = obj_name_mapping[event["gcl_handle"]]
data = datum["data"]
timestamp_start = float(json.loads(data)['timestamp_start'])
print gcl_name + str(': ') + 'New location information received.'
print 'Latency: ' + str(timestamp_end - timestamp_start)
string = gcl_name + ',' + str(timestamp_end) + ',' + data + '\n'
with open(fileName, 'a') as the_file:
the_file.write(string)
def request_location(parameters, logName):
"""
Implementation of the request location primitive of the SLI.
parameters:
location_type - type of location information: global/local/semantic
dimensionality - for global/local location information type, is it 2D/3D?
accuracy - desired accuracy of the requested location information
period - desired period of location information provisioning
on_event - when is location information provided - periodically with the period, on change of step from preceding location
step - size of change of location information
duration - duration of location information provisioning
movement - do you want historical information, .e.g speed, orientation
logName - name of the log for requesting location information
"""
location_type = parameters['location_type']
dimensionality = parameters['dimensionality']
accuracy = parameters['accuracy']
period = parameters['period']
provisioning_type = parameters['provisioning_type']
step = parameters['step']
duration = parameters['duration']
movement = parameters['movement']
# Evaluation purpose only, can be removed later
timestamp_start = parameters['timestamp_start']
gcl_name = gdp.GDP_NAME(logName)
gcl_handle = gdp.GDP_GCL(gcl_name, gdp.GDP_MODE_RA)
# First parameter for evaluation purposes only, can be removed later.
data = json.dumps({'timestamp_start': timestamp_start, 'location_type': location_type, 'dimensionality': dimensionality, 'accuracy': accuracy, 'period': period, 'provisioning_type': provisioning_type, 'step': step, 'duration': duration, 'movement': movement})
gcl_handle.append({'data': data})
return 'New request written in the Request location log...'
def gcl_subscription_init(config_file):
gdp.gdp_init()
gcl_input = write_config("inputs.txt")[0]
print "gcl: [%r]" % gcl_input
gcl_name = gdp.GDP_NAME(gcl_input)
gcl_handle = gdp.GDP_GCL(gcl_name, gdp.GDP_MODE_RO)
return gcl_handle
def gcl_append_init(gcl_input, pem_input):
gdp.gdp_init()
gcl_name = gdp.GDP_NAME(gcl_input)
skey = gdp.EP_CRYPTO_KEY(filename=pem_input,
keyform=gdp.EP_CRYPTO_KEYFORM_PEM,
flags=gdp.EP_CRYPTO_F_SECRET)
gcl_handle = gdp.GDP_GCL(gcl_name, gdp.GDP_MODE_RA, {"skey": skey})
return gcl_handle
def gcl_append_init():
gdp.gdp_init()
gcl_input = 'ph.edu.upd.pcari.jasper.data'
pem_input = '_data.pem'
gcl_name = gdp.GDP_NAME(gcl_input)
skey = gdp.EP_CRYPTO_KEY(filename=pem_input,
keyform=gdp.EP_CRYPTO_KEYFORM_PEM, flags=gdp.EP_CRYPTO_F_SECRET)
gcl_handle = gdp.GDP_GCL(gcl_name, gdp.GDP_MODE_RA, {"skey":skey})
return gcl_handle
def gdp_thread():
gdp.gdp_init()
print("GDP: connected.")
gcl_name = gdp.GDP_NAME(args.gdp_log)
gcl_handle = gdp.GDP_GCL(gcl_name, gdp.GDP_MODE_RA)
print("GDP: got log handle")
while True:
im_fname = gdp_image_queue.get()
im = Image.open(im_fname)
data = {"data": im.tostring()}
gcl_handle.append(data)
print("GDP: posted " + im_fname)
def gdp_source():
rospy.init_node("gdp_source")
gdp.gdp_init()
lock = Lock()
args = _parse_args()
topic_dict = {}
gcl_name = gdp.GDP_NAME(args.logname)
loghandle = gdp.GDP_GCL(gcl_name, gdp.GDP_MODE_RO)
loghandle.subscribe(0, 0, None)
try:
buf = ""
while not rospy.is_shutdown():
event = loghandle.get_next_event(None)
data = event["datum"]["data"]
d = pickle.loads(data)
if args.preserve:
topic = d["topic"]
else:
topic = "/gdp" + rospy.names.resolve_name(d["topic"])
topic_type = d["topic_type"]
try:
assert len(buf) == d["offset"]
except AssertionError:
## This is when we start at the wrong time, and some
## chunks of a message already have been missed.
continue
buf = buf + d["data"]
if len(buf) == d["msg_size"]:
with lock: ## get publisher, create if doesn't exist
pub = topic_dict.get(topic, None)
if pub is None:
msg_class = roslib.message.get_message_class(
topic_type)
pub = rospy.Publisher(topic, msg_class, queue_size=10)
topic_dict[topic] = pub
print "Publishing message"
pub.publish(pickle.loads(zlib.decompress(buf)))
buf = ""
except rospy.ROSInterruptException:
pass
del loghandle
def gcl_append_init(config_file):
gdp.gdp_init()
gcl_input, pem_input = write_config(config_file)
print "gcl: [%r]" % gcl_input
print "pem: [%r]" % pem_input
gcl_name = gdp.GDP_NAME(gcl_input)
skey = gdp.EP_CRYPTO_KEY(filename=pem_input,
keyform=gdp.EP_CRYPTO_KEYFORM_PEM,
flags=gdp.EP_CRYPTO_F_SECRET)
gcl_handle = gdp.GDP_GCL(gcl_name, gdp.GDP_MODE_RA, {"skey": skey})
return gcl_handle
def main(provisioning_service_id):
print 'Creating the Register service log...'
string = 'lemic.localization.esi.register_service'
print subprocess.call([
'./../gdp/apps/gcl-create', '-k', 'none', '-G', 'localhost',
'test.localization', string
])
print 'The Register service log most probably already exists, but no worries, ignore the previous error!'
# Check if a service with that ID already exists!
gdp.gdp_init('localhost')
gcl_name = gdp.GDP_NAME(string)
gcl_handle = gdp.GDP_GCL(gcl_name, gdp.GDP_MODE_RO)
# Read the whole register service log
recno = 1
services = []
while True:
try:
datum = gcl_handle.read(recno)
services.append(json.loads(datum['data'])['service_id'])
recno += 1
except:
break
if provisioning_service_id not in services:
# Write an entry in the log
logName = 'lemic.localization.esi.register_service'
gcl_name = gdp.GDP_NAME(logName)
gcl_handle = gdp.GDP_GCL(gcl_name, gdp.GDP_MODE_RA)
data = json.dumps({'service_id': provisioning_service_id})
gcl_handle.append({'data': data})
print 'Provisioning service ' + str(
provisioning_service_id
) + ' successfully registered for provisioning.'
else:
print 'Log ID has to be unique! Be creative!'
def main(name_str):
# create a python object
_name = gdp.GDP_NAME(name_str)
gin_handle = gdp.GDP_GIN(_name, gdp.GDP_MODE_RO)
# this is the actual subscribe call
gin_handle.subscribe_by_recno(0, 0, None)
while True:
# This blocks, until there is a new event
event = gin_handle.get_next_event(None)
datum = event["datum"]
print datum["buf"].peek()
def main(name_str, keyfile=None):
# the data that will be written
data = generate_random_data(1000, 1000)
# XXX handling secret key at Python level doesn't work at the moment
open_info = {}
if keyfile is not None:
skey = gdp.EP_CRYPTO_KEY(filename=keyfile,
keyform=gdp.EP_CRYPTO_KEYFORM_PEM,
flags=gdp.EP_CRYPTO_F_SECRET)
open_info = {'skey': skey}
gin_name = gdp.GDP_NAME(name_str)
_name = "".join(["%0.2x" % ord(x) for x in gin_name.internal_name()])
print "opening", _name
gin_handle = gdp.GDP_GIN(gin_name, gdp.GDP_MODE_RA, open_info)
# writing the actual data
for (idx, s) in enumerate(data):
print "writing message", idx
datum = gdp.GDP_DATUM()
datum["buf"].write(s)
# C implementation does not handle more than
# a single datum appends at a time... yet.
gin_handle.append_async([datum])
## collect as many events as we had append operations
for idx in xrange(len(data)):
e = gin_handle.get_next_event(None)
assert e["type"] == gdp.GDP_EVENT_CREATED or \
e["type"] == gdp.GDP_EVENT_SUCCESS
################################
#### reading the data back ####
################################
read_data = []
gin_handle.read_by_recno_async(-1 * len(data), len(data))
while True:
e = gin_handle.get_next_event(None)
if e["type"] == gdp.GDP_EVENT_DONE:
break
assert e["type"] == gdp.GDP_EVENT_DATA
read_data.append(e["datum"]["buf"].peek())
print len(data), len(read_data)
for idx in xrange(len(data)): # verify correctness
if data[idx] == read_data[idx]:
print "message %d matches" % idx
def push_rss_to_log():
"""
Storing the collected RSS scans into a GDP log.
"""
logName = 'lemic.localization.resources'
scan = get_rss_scan()
gcl_name = gdp.GDP_NAME(logName)
gcl_handle = gdp.GDP_GCL(gcl_name, gdp.GDP_MODE_RA)
gcl_handle.append({'data': scan})
return 'New scan pushed to the resource log...'
def read(self, name_str):
"""
Reads a info_log and returns the capabilities, permissions, public key(s)
(if present) and certificate (if present) described in the info_log
Parameters:
name_str - name of the info_log from which to read
"""
gcl_name = gdp.GDP_NAME(name_str)
gcl_handle = gdp.GDP_GCL(gcl_name, gdp.GDP_MODE_RO)
recno = 1
capabilities = []
permissions = []
pkeys = []
certificate = None
try:
datum = gcl_handle.read(recno)
num_capabilities = int(datum['data'])
recno += 1
datum = gcl_handle.read(recno)
num_permissions = int(datum['data'])
recno += 1
datum = gcl_handle.read(recno)
num_pkeys = int(datum['data'])
recno += 1
while recno <= 3 + num_capabilities:
datum = gcl_handle.read(recno)
capabilities.append(datum['data'])
recno += 1
while recno <= 3 + num_capabilities + num_permissions:
datum = gcl_handle.read(recno)
permissions.append(datum['data'])
recno += 1
while recno <= 3 + num_capabilities + num_permissions + num_pkeys:
datum = gcl_handle.read(recno)
pkeys.append(datum['data'])
recno += 1
datum = gcl_handle.read(recno)
certificate = datum['data']
except:
pass # Error could be because there is no certificate
return capabilities, permissions, pkeys, certificate
# capabilities = ["capability1", "capability2", "capability3"]
# permissions = ["permission1", "permission2", "permission3"]
# pkeys = ["pkey1", "pkey2", "pkey3", "pkey4"]
# certificate = "test_certificate"
# return capabilities, permissions, pkeys, certificate
def gdp_sink():
rospy.init_node("gdp_sink")
gdp.gdp_init()
lock = Lock()
args = _parse_args()
gcl_name = gdp.GDP_NAME(args.logname)
lh = gdp.GDP_GCL(gcl_name, gdp.GDP_MODE_RA)
for t in args.topic:
rospy.Subscriber(t, AnyMsg, callback, callback_args=(t, lh, lock))
rospy.spin()
def get_resource():
logName = 'lemic.localization.resources'
gcl_name = gdp.GDP_NAME(logName)
gcl_handle = gdp.GDP_GCL(gcl_name, gdp.GDP_MODE_RO)
data = {}
datum1 = gcl_handle.read(-1)
data[0] = json.loads(datum1['data'])['data']
datum2 = gcl_handle.read(-2)
data[1] = json.loads(datum2['data'])['data']
datum3 = gcl_handle.read(-3)
data[2] = json.loads(datum3['data'])['data']
datum4 = gcl_handle.read(-4)
data[3] = json.loads(datum4['data'])['data']
return data
def open_gcl_read(gcl_complete_name_str, timeout=0):
print "opening for reading: %s" % gcl_complete_name_str
start = time.time()
handler = []
while time.time() - start <= timeout + 1:
try:
gcl_name = gdp.GDP_NAME(gcl_complete_name_str)
handler = gdp.GDP_GCL(gcl_name, gdp.GDP_MODE_RO)
break
except:
pass
if timeout == 0:
break
del gcl_name
return handler
def initialize_gcl_handles(self):
print('GDPDataProcessor: Initializing GCL handles')
for addr_gdp in self.list_addr_dict:
print('GDPDataProcessor.initialize_gcl_handles: Initializing %s' %
(addr_gdp['addr']))
try:
gcl_name = gdp.GDP_NAME(addr_gdp['addr'])
addr_gdp['gcl_name'] = gcl_name
addr_gdp['gcl_handle'] = gdp.GDP_GCL(gcl_name, gdp.GDP_MODE_RO)
print('GDPDataProcessor.initialize_gcl_handles: Success!')
except:
addr_gdp['gcl_name'] = None
addr_gdp['gcl_handle'] = None
print('GDPDataProcessor.initialize_gcl_handles: FAIL')
print('GDPDataProcessor: Finished!')
def main(name_str, tv_sec, tv_nsec, tv_accuracy=0.5):
# create a python object
_name = gdp.GDP_NAME(name_str)
print _name.printable_name()
# Assume that the GCL already exists
gin_handle = gdp.GDP_GIN(_name, gdp.GDP_MODE_RO)
# Create a dictionary for the timestamp. This is the preferred format
# for timstamps in gdp.
ts = {'tv_sec': tv_sec, 'tv_nsec': tv_nsec, 'tv_accuracy': tv_accuracy}
# query by time stamp
datum = gin_handle.read_by_ts(ts)
print datum
def fetch_creator(self, rid):
"""
When we received a response, lookup the specific row id in the
dupdb and return appropriate information for creating a spoofed
response back to the creator.
Also pdate the specific row to indicate that we have seen
a response for the given log.
Raise an UnknownResponse exception in case something is wrong.
"""
## First get a connection from the pool
conn = self.dupdb_cpool.get_connection()
cur = conn.cursor()
try:
## Fetch the original creator and rid from our database
cur.execute(
"""SELECT creator, rid, ack_seen
FROM logs WHERE rowid=?""", (rid, ))
dbrows = cur.fetchall()
## We should know about this specific unique request ID
assert len(dbrows) == 1
(__creator, orig_rid, ack_seen) = dbrows[0]
creator = gdp.GDP_NAME(__creator).internal_name()
## We should not have seen a response already for this rid
assert ack_seen == 0
logging.debug("Setting ack_seen to 1 for row %d", rid)
cur.execute("UPDATE logs SET ack_seen=1 WHERE rowid=?", (rid, ))
conn.commit()
## don't forget to return the connection back to the pool
cur.close()
self.dupdb_cpool.return_connection(conn)
return (creator, orig_rid)
except AssertionError as e:
## XXX handling errors via exceptions is probably better
## don't forget to return the connection back to the pool
cur.close()
self.dupdb_cpool.return_connection(conn)
raise UnknownResponse
def main(name_str, keyfile):
skey = gdp.EP_CRYPTO_KEY(filename=keyfile,
keyform=gdp.EP_CRYPTO_KEYFORM_PEM,
flags=gdp.EP_CRYPTO_F_SECRET)
# Create a GDP_NAME object from a python string provided as argument
_name = gdp.GDP_NAME(name_str)
# There's a GCL with the given name, so let's open it
gin_handle = gdp.GDP_GIN(_name, gdp.GDP_MODE_AO, open_info={'skey': skey})
datum = gdp.GDP_DATUM()
while True:
line = sys.stdin.readline().strip() # read from stdin
datum["buf"].reset()
datum["buf"].write(line)
gin_handle.append(datum) # Write this datum to the GCL
def __init__(self,
srcSink="",
nameStr="",
paramName="",
lagVal=0,
normMeth='none',
key="",
password=""):
if nameStr == "":
raise ValueError("GCL name must be provided.")
if paramName == "":
raise ValueError("JSON parameter name must be provided.")
# Log name in GDP
self.gclName = gdp.GDP_NAME(nameStr)
if srcSink == "":
raise ValueError("Source/Sink must be provided.")
elif srcSink == "GDP_I":
self.IO = 'in'
# Assume that GCL already exists and create the GCL handle
self.gclHandle = gdp.GDP_GCL(self.gclName, gdp.GDP_MODE_RO)
elif srcSink == "GDP_O":
self.IO = 'out'
if key == "" or password == "":
raise ValueError("Key path and password must \
be provided.")
else:
skey = gdp.EP_CRYPTO_KEY(filename=key,
keyform=gdp.EP_CRYPTO_KEYFORM_PEM,
flags=gdp.EP_CRYPTO_F_SECRET)
open_info = {'skey': skey}
# TODO Bypass password prompt
# Assume that GCL already exists and create the GCL handle
self.gclHandle = gdp.GDP_GCL(self.gclName, gdp.GDP_MODE_RA,
open_info)
# JSON parameter name to be used in each log record
self.param = paramName
# Lag from the current record. Can be used to implement time series functions.
self.lag = lagVal
# Normalization method for data:
# 'none': no normalization
# 'lin': linear normalization: mean-zeroed and divided by std
self.norm = normMeth
# Normalization parameters (i.e., avg, std etc.)
self.normParam = {}
def main(name_str, start, stop):
# create a python object
_name = gdp.GDP_NAME(name_str)
print _name.printable_name()
# Assume that the GCL already exists
gin_handle = gdp.GDP_GIN(_name, gdp.GDP_MODE_RO)
# initialize this to the first record number
recno = start
while recno <= stop:
try:
datum = gin_handle.read_by_recno(recno)
print datum["buf"].peek()
recno += 1
except Exception as e:
# Typically, end of log.
raise e
def request_discovery(ils_id, services):
"""
Discovery of provisioning features form the available provisioning services.
ils_id - ID of this integrated location service, needed for shared provisioning services
services - services whose provisioning features are to be requested
"""
# Request features discovery
for service_id in services:
# Writing an entry to a 'service discovery' log of each requested provisioning service
logName = 'lemic.localization.esi.service_discovery_' + str(service_id)
gcl_name = gdp.GDP_NAME(logName)
gcl_handle = gdp.GDP_GCL(gcl_name, gdp.GDP_MODE_RA)
data = json.dumps({'ils_id': ils_id})
gcl_handle.append({'data': data})
return
def main(name_str, keyfile=None):
# the data that will be written
data = generate_random_data(100, 10)
# XXX handling secret key at Python level doesn't work at the moment
open_info = {}
if keyfile is not None:
skey = gdp.EP_CRYPTO_KEY(filename=keyfile,
keyform=gdp.EP_CRYPTO_KEYFORM_PEM,
flags=gdp.EP_CRYPTO_F_SECRET)
open_info = {'skey': skey}
gin_name = gdp.GDP_NAME(name_str)
_name = "".join(["%0.2x" % ord(x) for x in gin_name.internal_name()])
print "opening", _name
gin_handle = gdp.GDP_GIN(gin_name, gdp.GDP_MODE_RA, open_info)
# writing the actual data
datum = gdp.GDP_DATUM() # reusable datum
for (idx, s) in enumerate(data):
print "writing message", idx
datum["buf"].reset()
datum["buf"].write(s)
gin_handle.append(datum)
################################
#### reading the data back ####
################################
# read by recno (synchronous)
read_by_recno = []
for idx in xrange(-1*len(data),0):
print "reading message", -1*idx, "from the end"
datum = gin_handle.read_by_recno(idx) # -n => n-th record from end
read_by_recno.append(datum["buf"].peek())
for idx in xrange(len(data)): # verify correctness
if data[idx] == read_by_recno[idx]:
print "message %d matches" % idx
def __init__(self, logname, limit=10000):
"""
Initialize with just the log name, and optionally cache size
limit is the number of records to keep in the cache. This is a soft
limit, which means that we will go over the limit on various
occasions, but we will try to be within a certain factor of the
specified limit (by default, 2). This enables us to minimize the
cleanup overhead.
"""
gdp.gdp_init() # No side-effects of calling this multiple times
# gdp.dbg_set("*=20")
self.logname = logname
self.lh = gdp.GDP_GIN(gdp.GDP_NAME(logname), gdp.GDP_MODE_RO)
self.limit = limit
self.cache = {} # recno => record cache (limited size)
self.atime = {} # recno => time of access (same size as cache)
## populate the limits
self.leastRecent()
self.mostRecent()
