def processLogDirectory(logDirRoot, resultCSVPath):
'''This methos is used to iterate a given log file directory to process each LISP trace log and write the result to a CSV file'''
#Do not forget to process uniquely log files...
import csv
with open(resultCSVPath, 'wb') as csvfile:
spamwriter = csv.writer(csvfile, dialect='excel',delimiter=';')
spamwriter.writerow(
[
'Log File Name',
'Locator Count Coherence',
'Round Type Set',
'Different Locator Count',
'Different Locator',
'Locator count flap'
]
)
for log_file in os.listdir(logDirRoot):
#Do not forget to verify that the current file to be processed is a real log file
#Otherwise this program may be collapsed.
if log_file.endswith(".log"):
file_path = os.path.join(logDirRoot,log_file)
R = RoundInstanceFactory(file_path)
csv_row = [file_path]
csv_row.append(R.RLOCSetCoherent)
csv_row.append(R.round_type_list)
csv_row.append(R.getLocatorCountSet())
csv_row.append(R.getLocatorSet())
# csv_row.append(R.isLocatorCountFlap())
# csv_row.append(R.isLocatorsFlap())
# Output case
csv_row.append(R.jugeLogCase())
csv_row.extend(R.locator_addr_list)
spamwriter.writerow(csv_row)
def processLogDirectory(logDirRoot, resultCSVPath):
'''This methos is used to iterate a given log file directory to process each LISP trace log and write the result to a CSV file'''
#Do not forget to process uniquely log files...
import csv
with open(resultCSVPath, 'wb') as csvfile:
spamwriter = csv.writer(csvfile, dialect='excel', delimiter=';')
spamwriter.writerow([
'Log File Name', 'Locator Count Coherence', 'Round Type Set',
'Different Locator Count', 'Different Locator',
'Locator count flap'
])
for log_file in os.listdir(logDirRoot):
#Do not forget to verify that the current file to be processed is a real log file
#Otherwise this program may be collapsed.
if log_file.endswith(".log"):
file_path = os.path.join(logDirRoot, log_file)
R = RoundInstanceFactory(file_path)
csv_row = [file_path]
csv_row.append(R.RLOCSetCoherent)
csv_row.append(R.round_type_list)
csv_row.append(R.getLocatorCountSet())
csv_row.append(R.getLocatorSet())
# csv_row.append(R.isLocatorCountFlap())
# csv_row.append(R.isLocatorsFlap())
# Output case
csv_row.append(R.jugeLogCase())
csv_row.extend(R.locator_addr_list)
spamwriter.writerow(csv_row)
def generateMultiCSVRows(logDirRoot):
res_str = []
res_str.append(['Log File Name', 'Locator Count Coherence', 'Round Type Set'])
for lists in os.listdir(logDirRoot):
if lists.endswith(".log"):
file_path = os.path.join(logDirRoot,lists)
R = RoundInstanceFactory(file_path)
csv_row = [file_path]
csv_row.extend(R.basicCheck())
res_str.append(csv_row)
return res_str
def generateMultiCSVRows(logDirRoot):
res_str = []
res_str.append(
['Log File Name', 'Locator Count Coherence', 'Round Type Set'])
for lists in os.listdir(logDirRoot):
if lists.endswith(".log"):
file_path = os.path.join(logDirRoot, lists)
R = RoundInstanceFactory(file_path)
csv_row = [file_path]
csv_row.extend(R.basicCheck())
res_str.append(csv_row)
return res_str
def worker(vantage, log_file, q):
'''stupidly simulates long running process'''
R = RoundInstanceFactory(log_file)
#csv_row = [arg, R.isRLOCSetCoherent(), R.getRoundTypeSet()]
csv_row = [vantage, log_file, R.EID, R.resolver]
csv_row.append(",".join(
R.MAPPING_ENTRY)) # Yue added MAPPING_ENTRY into CSV files
csv_row.append(R.coherent)
csv_row.append(R.RLOCSetCoherent) # print 'Locator Count Consistence'
csv_row.append(R.TECoherent) # print 'TE coherent'
csv_row.append(R.case) # Add judge logfile case
csv_row.append(",".join(R.round_type_list)) # print 'Round Type List'
# Here add 2 rows: locator_count_list and locator_list
csv_row.append(len(
R.locator_count_list)) # print 'Different Locators Count'
csv_row.append(",".join(
R.locator_count_list)) # print 'Locators Count Set'
csv_row.append(len(R.locator_list)) # print 'Different locators'
csv_row.append(R.getLocatorSet()) # print 'Locators set'
#Here add 2 rows: locator_count_list and locator_list
#csv_row.append(R.isLocatorCountFlap())
#csv_row.append(R.isLocatorsFlap())
# 显示Case1,3,4的具体变化情况
# Case1的具体变化情况 nd_number, change_time, pattern = R.statistics_new_deployment()
csv_row.extend(R.statistics_new_deployment())
# Case3 & Case4 的具体变化情况 nd_number, change_time, pattern = R.statistics_new_deployment()
csv_row.extend(R.statistics_Case3_Case4())
# 这列忘了当时是在干嘛，就先注销了
# csv_row.append(sys.getsizeof(R))
# 每列只显示一个RLOC
csv_row.extend(R.locator_addr_list)
q.put(csv_row)
def worker(vantage, log_file, q):
'''stupidly simulates long running process'''
R = RoundInstanceFactory(log_file)
#csv_row = [arg, R.isRLOCSetCoherent(), R.getRoundTypeSet()]
csv_row = [vantage, log_file, R.EID, R.resolver]
csv_row.append(",".join(R.MAPPING_ENTRY)) # Yue added MAPPING_ENTRY into CSV files
csv_row.append(R.coherent)
csv_row.append(R.RLOCSetCoherent) # print 'Locator Count Consistence'
csv_row.append(R.TECoherent) # print 'TE coherent'
csv_row.append(R.case) # Add judge logfile case
csv_row.append(",".join(R.round_type_list)) # print 'Round Type List'
# Here add 2 rows: locator_count_list and locator_list
csv_row.append(len(R.locator_count_list)) # print 'Different Locators Count'
csv_row.append(",".join(R.locator_count_list)) # print 'Locators Count Set'
csv_row.append(len(R.locator_list)) # print 'Different locators'
csv_row.append(R.getLocatorSet()) # print 'Locators set'
#Here add 2 rows: locator_count_list and locator_list
#csv_row.append(R.isLocatorCountFlap())
#csv_row.append(R.isLocatorsFlap())
# 显示Case1,3,4的具体变化情况
# Case1的具体变化情况 nd_number, change_time, pattern = R.statistics_new_deployment()
csv_row.extend(R.statistics_new_deployment())
# Case3 & Case4 的具体变化情况 nd_number, change_time, pattern = R.statistics_new_deployment()
csv_row.extend(R.statistics_Case3_Case4())
# 这列忘了当时是在干嘛，就先注销了
# csv_row.append(sys.getsizeof(R))
# 每列只显示一个RLOC
csv_row.extend(R.locator_addr_list)
q.put(csv_row)
import argparse
parser = argparse.ArgumentParser(
description=
'This utility is devoted to convert an input LISP trace log file into a formatted CSV file.'
)
parser.add_argument('log',
action="store",
help='indicate the LISP trace log file path.')
parser.add_argument(
'--dst',
action="store",
dest='destination',
default="log/",
help='indicate which directory stores the generated files.')
args = parser.parse_args()
print '**************************The summary of provided arguments for this utility shown as following:**********************'
print 'logfile =', args.log
print 'output generated csv directory =', args.destination
default_csv_name = os.path.basename(args.log) + '.csv'
# The following variable stores the full path for generated CSV file.
csv_file_path = os.path.join(args.destination, default_csv_name)
print 'generated csv file\'s full path =', csv_file_path
RoundInstanceFactory(args.log).write2csv(csv_file_path)
# 测是函数
def worker(csv_traces_dir, log_file_full_path):
r = RoundInstanceFactory(log_file_full_path)
csv_file_path = csv_traces_dir + "/" + os.path.basename(
log_file_full_path) + ".csv"
r.write2csv(csv_file_path)
def worker(csv_traces_dir, log_file_full_path):
r = RoundInstanceFactory(log_file_full_path)
csv_file_path = csv_traces_dir+"/"+os.path.basename(log_file_full_path)+".csv"
r.write2csv(csv_file_path)
