700000
): #Not using exact 750KB as some data will be padded later
continue
else:
sendData()
metricData = []
alldata = {}
sendData()
file.close()
updateAgentDataRange(minTimestampEpoch, maxTimestampEpoch)
#old file cleaning
for dirpath, dirnames, filenames in os.walk(os.path.join(homepath, datadir)):
for file in filenames:
if ".csv" not in file:
continue
curpath = os.path.join(dirpath, file)
file_modified = datetime.datetime.fromtimestamp(
os.path.getmtime(curpath))
if datetime.datetime.now() - file_modified > datetime.timedelta(
days=keep_file_days):
os.rename(curpath, os.path.join("/tmp", file))
#Update custom Metrics
reported = reportCustomMetrics.getcustommetrics(serverUrl, PROJECTNAME,
USERNAME, LICENSEKEY, homepath)
if reported:
print "Custom metrics sent"
else:
print "Failed to send custom metrics"
maxAmount = chunkMaxSize/(maxSize + chunkingPadding)
totalChunkCount = int(math.ceil(float(numlines) / float(maxAmount)))
for entry in metricDatas:
metricData.append(entry)
if len(metricData) < maxAmount:
continue;
else:
sendData(fileMD5)
metricData = []
sendData(fileMD5)
file.close()
updateAgentDataRange(minTimestampEpoch,maxTimestampEpoch)
#old file cleaning
for dirpath, dirnames, filenames in os.walk(os.path.join(homepath,datadir)):
for file in filenames:
if ".csv" not in file:
continue
curpath = os.path.join(dirpath, file)
file_modified = datetime.datetime.fromtimestamp(os.path.getmtime(curpath))
if datetime.datetime.now() - file_modified > datetime.timedelta(days=keep_file_days):
os.rename(curpath,os.path.join("/tmp",file))
#Update custom Metrics
reported = reportCustomMetrics.getcustommetrics(serverUrl, PROJECTNAME, USERNAME, LICENSEKEY, homepath)
if reported:
print "Custom metrics sent"
else:
print "Failed to send custom metrics"