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 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)