def run_commands(proc_id, cmd_list, dry_run, return_dict):
n_cmds = len(cmd_list)
return_dict[proc_id] = 0
for (cmd, cmd_count) in zip(cmd_list, range(n_cmds)):
progress_pc = 100.0 * cmd_count / n_cmds
_log('[proc %d] [%d/%d = %2.2f%%] %s' %
(proc_id, cmd_count, n_cmds, progress_pc, cmd[0]))
_log('[proc %d] [%d/%d = %2.2f%%] %s' %
(proc_id, cmd_count, n_cmds, progress_pc, cmd[1]))
partner_id = cmd[2]
if not dry_run:
# this is a copy from HDFS
cmd_out, cmd_err, rc = util_run_cmd(cmd[0])
if rc != 0:
_log('*** ERROR *** %s' % cmd_err)
return_dict[proc_id] = -1
break
# this is a copy to AWS
cmd_out, cmd_err, rc = util_run_cmd(cmd[1])
if rc != 0:
_log('*** ERROR *** %s' % cmd_err)
return_dict[proc_id] = -1
break
def send_jar_command(channel, metric, value):
jar_cmd = 'yarn jar /home/o.koch/ref/recocomputer/releases/1455705605_1.0-SNAPSHOT/lib/criteo-hadoop-recocomputer.jar com.criteo.hadoop.recocomputer.utils.logging.GraphiteMetricsLogger'
cmd = '%s %s %s:%s' % (jar_cmd, channel, metric, value)
_log(cmd)
cmd_out, cmd_err, rc = util_run_cmd(cmd)
if rc != 0:
_log('*** ERROR *** %s' % cmd_err)
def process_dir(input_dir):
host = '[email protected]'
local_dir = '/home/o.koch/image-search/output-per-partner'
remote_success_file = '/opt/output-per-partner/.success'
local_success_file = '/home/o.koch/image-search/_SUCCESS'
timestamp_filename = '/home/o.koch/image-search/lastPartnerTimestamp_computed.txt'
job_timestamp_filename = '/home/o.koch/image-search/.hathi.lastrun.timestamp'
_log('Found following dir to process : %s' % input_dir)
timestamp_aws = os.path.basename(input_dir)
# skip directory if does not belong to your platform
if util_get_platform() == 'pa4' and (int(timestamp_aws) % 2 == 0):
_log('This is a directory for AM5. Skipping...')
return
if util_get_platform() == 'am5' and (int(timestamp_aws) % 2 == 1):
_log('This is a directory for PA4. Skipping...')
return
hdfs_root = '/user/o.koch/cnn'
hdfs_dir = '%s/%s' % (hdfs_root, timestamp_aws)
# quit if directory already exists on HDFS
if exists_hdfs(hdfs_dir):
_log('Directory %s already exists on HDFS. Skipping...' % hdfs_dir)
return
# create directory on hdfs
cmd = 'hadoop fs -mkdir %s' % hdfs_dir
_log(cmd)
cmd_out, cmd_err, rc = util_run_cmd(cmd)
if rc != 0:
_log('*** ERROR *** %s' % cmd_err)
return
# create local directory
if not os.path.isdir(local_dir):
os.makedirs(local_dir)
# copy files to gateway
cmd = 'scp -r %s:%s %s' % (host, input_dir, local_dir)
_log(cmd)
cmd_out, cmd_err, rc = util_run_cmd(cmd)
if rc != 0:
_log('*** ERROR *** %s' % cmd_err)
return
# load last timestamp for each partner
last_partnersTimestamp = {}
if os.path.isfile(timestamp_filename):
with open(timestamp_filename, 'r') as fp:
lines = fp.readlines()
for l in lines:
l = l.strip().split(' ')
partnerid = int(l[0])
timestamp = int(l[1])
last_partnersTimestamp[partnerid] = timestamp
# copy files to HDFS
local_dir_output = os.path.join(local_dir, timestamp_aws)
assert (os.path.isdir(local_dir_output))
n_errors = 0
for root, dirs, files in os.walk(local_dir_output):
for filen in files:
if not os.path.basename(filen).endswith('.gz'):
continue
filename = os.path.join(root, filen)
# extract partner id from filename
partnerid = int(re.findall('[0-9]+', filename)[-1])
last_partnersTimestamp[partnerid] = int(timestamp_aws)
hdfs_dir_full = '%s/%d' % (hdfs_dir, partnerid)
# create subdir on HDFS
cmd = 'hadoop fs -mkdir %s' % hdfs_dir_full
cmd_out, cmd_err, rc = util_run_cmd(cmd)
if rc != 0:
_log('*** ERROR *** %s' % cmd_err)
n_errors += 1
break
# transfer file to HDFS
cmd = 'hadoop fs -put %s %s' % (filename, hdfs_dir_full)
_log(cmd)
cmd_out, cmd_err, rc = util_run_cmd(cmd)
if rc != 0:
_log('*** ERROR *** %s' % cmd_err)
n_errors += 1
break
if n_errors > 0:
_log('*** ERROR *** Encountered errors during copy. Exiting.')
return
_log('Done sending data to HDFS')
# remove local dir to save space
shutil.rmtree(local_dir_output)
# write timestamps to file
fp = open(timestamp_filename, 'w')
for k, v in last_partnersTimestamp.iteritems():
fp.write('%d %d\n' % (k, v))
fp.close()
_log('Done updating timestamps')
# build json file
json_file = os.path.join(local_dir, 'outputByPartner')
total_size_bytes = util_timestamp_file_to_json(timestamp_filename,
json_file)
_log('Done creating JSON file')
# remove remote json file
cmd = 'hadoop fs -rm %s/outputByPartner' % hdfs_root
_log(cmd)
cmd_out, cmd_err, rc = util_run_cmd(cmd)
if rc != 0:
_log('*** ERROR *** %s' % cmd_err)
# send new json file
cmd = 'hadoop fs -put %s %s' % (json_file, hdfs_root)
_log(cmd)
cmd_out, cmd_err, rc = util_run_cmd(cmd)
if rc != 0:
_log('*** ERROR *** %s' % cmd_err)
# send success file
with open(local_success_file, 'w') as fp:
fp.write('0')
cmd = 'hadoop fs -put %s %s' % (local_success_file, hdfs_dir)
_log(cmd)
cmd_out, cmd_err, rc = util_run_cmd(cmd)
if rc != 0:
_log('*** ERROR *** %s' % cmd_err)
sent_mbytes = round(1.0 * total_size_bytes / 1000000)
# move AWS input directory to bin
#bin_input_dir = '/opt/old.output'
#_log ('Moving AWS dir %s to %s' % (input_dir, bin_input_dir))
#move_aws_directory (host, input_dir, bin_input_dir)
#_log ('Done.')
# write job timestamp to file
with open(job_timestamp_filename, 'w') as gp:
gp.write('%d' % int(time.time()))
gp.close()
_log('Summary : Sent %d MB to HDFS' % sent_mbytes)
def check_partners():
hdfs_input_json_filename = '/user/recocomputer/bestofs/imagedl/outputByPartner'
hdfs_output_json_filename = '/user/o.koch/cnn/outputByPartner'
input_json_filename = '/home/o.koch/image-search/.input.outputByPartner.argus'
output_json_filename = '/home/o.koch/image-search/.output.outputByPartner.argus'
timestamp_filename = '/home/o.koch/image-search/lastPartnerTimestamp.txt'
hdfs_root = '/user/o.koch/cnn/'
hathi_lastrun_filename = '/home/o.koch/image-search/.hathi.lastrun.timestamp'
baloo_lastrun_filename = '/home/o.koch/image-search/.baloo.lastrun.timestamp'
host = '[email protected]'
content = ''
good_to_go = True
# count dirs to process
n_dirs = count_aws_dirs_to_process(host, '/opt/input')
if n_dirs is not None:
_log('%d dirs left to process on AWS' % n_dirs)
content += '%d dirs left to process on AWS\n' % n_dirs
# compute job delays
hathi_lastrun_timestamp = 0
baloo_lastrun_timestamp = 0
if os.path.isfile(hathi_lastrun_filename):
with open(hathi_lastrun_filename, 'r') as gp:
hathi_lastrun_timestamp = int(gp.read())
if os.path.isfile(baloo_lastrun_filename):
with open(baloo_lastrun_filename, 'r') as gp:
baloo_lastrun_timestamp = int(gp.read())
ref_timestamp = int(time.time())
hathi_delay = ref_timestamp - hathi_lastrun_timestamp
baloo_delay = ref_timestamp - baloo_lastrun_timestamp
_log('Send-to-AWS delay : %s' % delay_sec_to_string(baloo_delay))
_log('Recv-from-AWS delay : %s' % delay_sec_to_string(hathi_delay))
content += 'Send-to-AWS delay : %s\n' % delay_sec_to_string(baloo_delay)
content += 'Recv-from-AWS delay : %s\n' % delay_sec_to_string(hathi_delay)
# remove local files
if os.path.isfile(input_json_filename):
os.remove(input_json_filename)
if os.path.isfile(output_json_filename):
os.remove(output_json_filename)
# fetch input outputByPartner on HDFS
cmd = 'hadoop fs -get %s %s' % (hdfs_input_json_filename,
input_json_filename)
_log(cmd)
cmd_out, cmd_err, rc = util_run_cmd(cmd)
if rc != 0:
_log('*** ERROR *** %s' % cmd_err)
content += '*** ERROR *** %s\n' % cmd_err
good_to_go = False
if util_file_size(input_json_filename) == 0:
_log(
'*** ERROR *** did not find outputByPartner at this location on HDFS : %s'
% hdfs_input_json_filename)
content += '*** ERROR *** did not find outputByPartner at this location on HDFS : %s\n' % hdfs_input_json_filename
good_to_go = False
# fetch output outputByPartner on HDFS
cmd = 'hadoop fs -get %s %s' % (hdfs_output_json_filename,
output_json_filename)
_log(cmd)
cmd_out, cmd_err, rc = util_run_cmd(cmd)
if rc != 0:
_log('*** ERROR *** %s' % cmd_err)
content += '*** ERROR *** %s\n' % cmd_err
good_to_go = False
if util_file_size(output_json_filename) == 0:
_log(
'*** ERROR *** did not find outputByPartner at this location on HDFS : %s'
% hdfs_output_json_filename)
content += '*** ERROR *** did not find outputByPartner at this location on HDFS : %s\n' % hdfs_output_json_filename
good_to_go = False
if not good_to_go:
return
# load last timestamp for each partner
last_partnersTimestamp = {}
if os.path.isfile(timestamp_filename):
with open(timestamp_filename, 'r') as fp:
lines = fp.readlines()
for l in lines:
l = l.strip().split(' ')
partnerid = int(l[0])
timestamp = int(l[1])
last_partnersTimestamp[partnerid] = timestamp
# parse input data
input_data = None
with open(input_json_filename, 'r') as fp:
json_data = fp.read()
try:
input_data = json.loads(json_data)
except:
_log('*** ERROR *** Failed to read JSON file %s. Exiting.' %
input_json_filename)
content += '*** ERROR *** Failed to read JSON file %s. Exiting.\n' % input_json_filename
good_to_go = False
# parse output data
output_data = None
with open(output_json_filename, 'r') as fp:
json_data = fp.read()
try:
output_data = json.loads(json_data)
except:
_log('*** ERROR *** Failed to read JSON file %s. Exiting.' %
output_json_filename)
content += '*** ERROR *** Failed to read JSON file %s. Exiting.\n' % output_json_filename
good_to_go = False
if not good_to_go:
return
assert (input_data is not None)
assert (output_data is not None)
computed_size = 0
remaining_size = 0
nb_skipped_partners = 0
nb_total_partners = 0
# compute amount of data to process
for item in input_data:
partner_id = int(item)
partner_timestamp = int(input_data[item]['jobTimeStamp'])
nb_total_partners += 1
if partner_id in last_partnersTimestamp and last_partnersTimestamp[
partner_id] == partner_timestamp:
computed_size += input_data[item]['outputSize']
else:
remaining_size += input_data[item]['outputSize']
nb_skipped_partners += 1
computed_size_gb = 1.0 * computed_size / 1000000000
remaining_size_gb = 1.0 * remaining_size / 1000000000
_log('Computed size : %4.1f GB' % computed_size_gb)
_log('Remaining size : %4.1f GB' % remaining_size_gb)
_log('# skipped partners : %d out of %d total' %
(nb_skipped_partners, nb_total_partners))
content += 'Computed size : %4.1f GB\n' % computed_size_gb
content += 'Remaining size : %4.1f GB\n' % remaining_size_gb
content += '# skipped partners : %d out of %d total\n' % (
nb_skipped_partners, nb_total_partners)
# check for missing partners in output
for item in input_data:
if item not in output_data:
_log('*** WARNING *** Partner %s missing in output.' % item)
content += '*** WARNING *** Partner %s missing in output.\n' % item
# check that all files exist on HDFS
n_files = 0
n_files_success = 0
check_hdfs = True
if check_hdfs:
for item in input_data:
if item not in output_data:
continue
# check that files exist on HDFS
output_folder = output_data[item]['outputFolder']
output_files = output_data[item]['files']
for filename in output_files:
hdfs_path = os.path.join(hdfs_root, output_folder, filename)
n_files += 1
print('checking %s' % hdfs_path)
if not exists_file_hdfs(hdfs_path):
_log(
'*** ERROR *** File %s does not exist on HDFS but is listed in outputByPartner.'
% hdfs_path)
content += '*** ERROR *** File %s does not exist on HDFS but is listed in outputByPartner.\n' % hdfs_path
else:
n_files_success += 1
_log('%d/%d files checked successfully on HDFS.' %
(n_files_success, n_files))
content += '%d/%d files checked successfully on HDFS.\n' % (
n_files_success, n_files)
# alert?
warning = False
alert = False
if n_files_success != n_files:
alert = True
content = '*** Warning! Some files seem to be missing on HDFS ***\n' + content
if (baloo_delay > 12 * 3600) or (hathi_delay > 12 * 3600):
alert = True
content = '*** Warning! Some jobs are more than 12 hours old ***\n' + content
elif (baloo_delay > 6 * 3600) or (hathi_delay > 6 * 3600):
warning = True
content = '*** Warning! Some jobs are more than 6 hours old ***\n' + content
if alert:
title = '[prod][%s][aws-tiger] Summary -- Alert' % util_get_platform()
elif warning:
title = '[prod][%s][aws-tiger] Summary -- Warning' % util_get_platform(
)
else:
title = '[prod][%s][aws-tiger] Summary -- OK' % util_get_platform()
_log('Sending email with following title : %s' % title)
# build email
email_file = '/tmp/.email.argus.%d' % int(time.time())
with open(email_file, 'w') as fp:
fp.write(content)
util_send_email('*****@*****.**', title, email_file,
1000)
util_send_email('*****@*****.**', title, email_file, 1000)
os.remove(email_file)
def main():
dry_run = True
dry_run = False
# header for the log file
_log('======================================================================')
remote_root = '/opt/input'
json_filename = '/home/o.koch/image-search/outputByPartner'
timestamp_filename = '/home/o.koch/image-search/lastPartnerTimestamp.txt'
gpu_ip = '54.73.223.224'
root_dir = '/user/recocomputer/bestofs/imagedl/'
local_dir = '/home/o.koch/image-search/input'
job_timestamp_filename = '/home/o.koch/image-search/.baloo.lastrun.timestamp'
# build timestamp
# timestamp is odd on PA4 and even on AM5
ref_time = int(time.time())
if util_get_platform() == 'pa4':
if ref_time % 2 == 0:
ref_time += 1
elif util_get_platform() == 'am5':
if ref_time % 2 == 1:
ref_time += 1
else:
_log('***ERROR*** Unrecognized platform %s' % util_get_platform())
assert(False)
dt_string = '%d' % ref_time
remote_dir = '%s/%s' % (remote_root, dt_string)
# remove old JSON file
if os.path.isfile(json_filename):
os.remove(json_filename)
# clean up local directory
if not dry_run:
if os.path.isdir(local_dir):
_log('Removing %s...' % local_dir)
shutil.rmtree(local_dir)
_log('done.')
os.makedirs(local_dir)
# remove local file
if os.path.isfile(json_filename):
os.remove(json_filename)
# fetch outputByPartner on HDFS
# leave if file is not on HDFS
cmd = 'hadoop fs -get %s/outputByPartner %s' % (root_dir, json_filename)
_log(cmd)
cmd_out, cmd_err, rc = util_run_cmd(cmd)
if rc != 0:
_log('*** ERROR *** %s' % cmd_err)
return
# parse JSON data
with open(json_filename, 'r') as fp:
json_data = fp.read()
try:
data = json.loads(json_data)
except:
_log('*** ERROR *** Failed to read JSON file %s. File might be empty. Exiting.' % json_filename)
return
# load last timestamp for each partner
last_partnersTimestamp = {}
if os.path.isfile(timestamp_filename):
with open(timestamp_filename, 'r') as fp:
lines = fp.readlines()
for l in lines:
l = l.strip().split(' ')
partnerid = int(l[0])
timestamp = int(l[1])
last_partnersTimestamp[partnerid] = timestamp
# sort partners by age
partners_by_age = []
for item in data:
partner_id = int(item)
partner_timestamp = int(data[item]['jobTimeStamp'])
item_age = partner_timestamp
if partner_id in last_partnersTimestamp:
item_age -= last_partnersTimestamp[partner_id]
else:
print('partner %s not found' % item)
partners_by_age.append((item, item_age))
partners_by_age.sort(key=lambda x: x[1], reverse=True)
n_transferred_files = 0
n_transferred_partners = 0
n_proc = 2
n_files_limit = 200
cmd_list = []
# parse json file
for item in [x[0] for x in partners_by_age]:
partner_id = int(item)
partner_timestamp = int(data[item]['jobTimeStamp'])
if partner_id != 13045:
continue
# cap number of files to transfer
if n_transferred_files > n_files_limit:
_log('*** Reached file limit (%d files) **** Partner ID %d and the following ones will be skipped.' %
(n_transferred_files, partner_id))
break
if partner_id in last_partnersTimestamp and last_partnersTimestamp[partner_id] >= partner_timestamp:
# _log('Skipping partner %d. No new data to process. Current timestamp : %d. Last timestamp :%d. Current - last = %d.' % (partner_id, \
# partner_timestamp, last_partnersTimestamp[partner_id], partner_timestamp - last_partnersTimestamp[partner_id]))
continue
last_partnersTimestamp[partner_id] = partner_timestamp
n_transferred_partners += 1
_log('Processing partner %d with timestamp %d' %
(partner_id, partner_timestamp))
# get file
output_folder = data[item]['outputFolder']
files = data[item]['files']
for file in files:
target = os.path.join(root_dir, output_folder, file)
local_file = os.path.join(
local_dir, '%d-%s.bin' % (partner_id, file))
# copy from HDFS
cmd_1 = 'hadoop fs -get %s %s' % (target, local_file)
# send to AWS
cmd_2 = 'scp %s ubuntu@%s:%s' % (local_file, gpu_ip, remote_dir)
cmd_list.append((cmd_1, cmd_2, partner_id))
n_transferred_files += 1
# stop here if nothing to do
if n_transferred_files == 0:
_log('No files were planned for transfer. Stopping here.')
return
# create remote dir on AWS (for first file only)
cmd = 'ssh ubuntu@%s \'mkdir %s\'' % (gpu_ip, remote_dir)
_log(cmd)
if not dry_run:
cmd_out, cmd_err, rc = util_run_cmd(cmd)
if rc != 0:
_log('*** ERROR *** %s' % cmd_err)
return
# split commands among processes
cmd_lists = [[] for c in range(n_proc)]
for (cmd, c) in zip(cmd_list, range(len(cmd_list))):
cmd_lists[c % n_proc].append(cmd)
# run commands
manager = multiprocessing.Manager()
return_dict = manager.dict()
jobs = []
c = 0
for cmd_list in cmd_lists:
process = multiprocessing.Process(target=run_commands, args=[
c, cmd_list, dry_run, return_dict])
process.start()
jobs.append(process)
c += 1
# wait for jobs to finish
for job in jobs:
job.join()
# if any of the job failed, exit
for k in return_dict.values():
if k != 0:
_log('*** ERROR *** One of the baloo children failed. Exiting.')
# remove local data
assert (os.path.isdir(local_dir))
_log('Removing %s...' % local_dir)
shutil.rmtree(local_dir)
_log('done.')
return
# write timestamps to file
if not dry_run:
fp = open(timestamp_filename, 'w')
for k, v in last_partnersTimestamp.iteritems():
fp.write('%d %d\n' % (k, v))
fp.close()
# create sucess file on AWS
local_success_file = os.path.join(local_dir, '.success.baloo')
with open(local_success_file, 'w') as gp:
gp.write('%s' % dt_string)
cmd = 'scp %s ubuntu@%s:%s' % (local_success_file, gpu_ip, remote_dir)
_log(cmd)
if not dry_run:
cmd_out, cmd_err, rc = util_run_cmd(cmd)
if rc != 0:
_log('*** ERROR *** %s' % cmd_err)
# remove local dir
if not dry_run:
assert (os.path.isdir(local_dir))
_log('Removing %s...' % local_dir)
shutil.rmtree(local_dir)
_log('done.')
# write job timestamp to file
with open(job_timestamp_filename, 'w') as gp:
gp.write('%d' % int(time.time()))
gp.close()
_log('Summary : transferred %d files (%d partners) to AWS' %
(n_transferred_files, n_transferred_partners))
def check_partners():
hdfs_input_json_filename = '/user/recocomputer/bestofs/imagedl/outputByPartner'
hdfs_output_json_filename = '/user/o.koch/cnn/outputByPartner'
input_json_filename = '/home/o.koch/image-search/.input.outputByPartner.graphite'
output_json_filename = '/home/o.koch/image-search/.output.outputByPartner.graphite'
timestamp_filename = '/home/o.koch/image-search/lastPartnerTimestamp.txt'
hdfs_root = '/user/o.koch/cnn/'
hathi_lastrun_filename = '/home/o.koch/image-search/.hathi.lastrun.timestamp'
baloo_lastrun_filename = '/home/o.koch/image-search/.baloo.lastrun.timestamp'
content = ''
good_to_go = True
# compute job delays
hathi_lastrun_timestamp = 0
baloo_lastrun_timestamp = 0
if os.path.isfile(hathi_lastrun_filename):
with open(hathi_lastrun_filename, 'r') as gp:
hathi_lastrun_timestamp = int(gp.read())
if os.path.isfile(baloo_lastrun_filename):
with open(baloo_lastrun_filename, 'r') as gp:
baloo_lastrun_timestamp = int(gp.read())
ref_timestamp = int(time.time())
hathi_delay = ref_timestamp - hathi_lastrun_timestamp
baloo_delay = ref_timestamp - baloo_lastrun_timestamp
_log('Send-to-AWS delay : %s' % delay_sec_to_string(baloo_delay))
_log('Recv-from-AWS delay : %s' % delay_sec_to_string(hathi_delay))
content += 'Send-to-AWS delay : %s\n' % delay_sec_to_string(baloo_delay)
content += 'Recv-from-AWS delay : %s\n' % delay_sec_to_string(hathi_delay)
# remove local files
if os.path.isfile(input_json_filename):
os.remove(input_json_filename)
if os.path.isfile(output_json_filename):
os.remove(output_json_filename)
# fetch input outputByPartner on HDFS
cmd = 'hadoop fs -get %s %s' % (hdfs_input_json_filename,
input_json_filename)
_log(cmd)
cmd_out, cmd_err, rc = util_run_cmd(cmd)
if rc != 0:
_log('*** ERROR *** %s' % cmd_err)
content += '*** ERROR *** %s\n' % cmd_err
good_to_go = False
if util_file_size(input_json_filename) == 0:
_log('*** ERROR *** did not find outputByPartner at this location on HDFS : %s' %
hdfs_input_json_filename)
content += '*** ERROR *** did not find outputByPartner at this location on HDFS : %s\n' % hdfs_input_json_filename
good_to_go = False
# fetch output outputByPartner on HDFS
cmd = 'hadoop fs -get %s %s' % (hdfs_output_json_filename,
output_json_filename)
_log(cmd)
cmd_out, cmd_err, rc = util_run_cmd(cmd)
if rc != 0:
_log('*** ERROR *** %s' % cmd_err)
content += '*** ERROR *** %s\n' % cmd_err
good_to_go = False
if util_file_size(output_json_filename) == 0:
_log('*** ERROR *** did not find outputByPartner at this location on HDFS : %s' %
hdfs_output_json_filename)
content += '*** ERROR *** did not find outputByPartner at this location on HDFS : %s\n' % hdfs_output_json_filename
good_to_go = False
if not good_to_go:
return
# load last timestamp for each partner
last_partnersTimestamp = {}
if os.path.isfile(timestamp_filename):
with open(timestamp_filename, 'r') as fp:
lines = fp.readlines()
for l in lines:
l = l.strip().split(' ')
partnerid = int(l[0])
timestamp = int(l[1])
last_partnersTimestamp[partnerid] = timestamp
# parse input data
input_data = None
with open(input_json_filename, 'r') as fp:
json_data = fp.read()
try:
input_data = json.loads(json_data)
except:
_log('*** ERROR *** Failed to read JSON file %s. Exiting.' %
input_json_filename)
content += '*** ERROR *** Failed to read JSON file %s. Exiting.\n' % input_json_filename
good_to_go = False
# parse output data
output_data = None
with open(output_json_filename, 'r') as fp:
json_data = fp.read()
try:
output_data = json.loads(json_data)
except:
_log('*** ERROR *** Failed to read JSON file %s. Exiting.' %
output_json_filename)
content += '*** ERROR *** Failed to read JSON file %s. Exiting.\n' % output_json_filename
good_to_go = False
if not good_to_go:
return
assert (input_data is not None)
assert (output_data is not None)
computed_size = 0
remaining_size = 0
nb_skipped_partners = 0
nb_total_partners = 0
# compute amount of data to process
for item in input_data:
partner_id = int(item)
partner_timestamp = int(input_data[item]['jobTimeStamp'])
nb_total_partners += 1
if partner_id in last_partnersTimestamp and last_partnersTimestamp[partner_id] == partner_timestamp:
computed_size += input_data[item]['outputSize']
else:
remaining_size += input_data[item]['outputSize']
nb_skipped_partners += 1
computed_size_gb = 1.0 * computed_size / 1000000000
remaining_size_gb = 1.0 * remaining_size / 1000000000
_log('Computed size : %4.1f GB' % computed_size_gb)
_log('Remaining size : %4.1f GB' % remaining_size_gb)
_log('# skipped partners : %d out of %d total' %
(nb_skipped_partners, nb_total_partners))
content += 'Computed size : %4.1f GB\n' % computed_size_gb
content += 'Remaining size : %4.1f GB\n' % remaining_size_gb
content += '# skipped partners : %d out of %d total\n' % (
nb_skipped_partners, nb_total_partners)
# send graphite commands (delay)
channel = 'delay'
metric = 'cnn_send'
value = round(1.0 * baloo_delay / 3600, 1)
send_jar_command(channel, metric, value)
metric = 'cnn_recv'
value = round(1.0 * hathi_delay / 3600, 1)
send_jar_command(channel, metric, value)
# send graphite commands (computing rate)
channel = 'imagedlCnn'
metric = 'ComputedSize'
value = round(computed_size_gb, 1)
send_jar_command(channel, metric, value)
channel = 'imagedlCnn'
metric = 'TotalSize'
value = round(remaining_size_gb + computed_size_gb, 1)
send_jar_command(channel, metric, value)
# skipped partners
channel = 'imagedlCnn'
metric = 'NbProcessedPartners'
value = nb_total_partners - nb_skipped_partners
send_jar_command(channel, metric, value)
channel = 'imagedlCnn'
metric = 'NbTotalPartners'
value = nb_total_partners
send_jar_command(channel, metric, value)