Created
November 5, 2015 14:23
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s3 to logentries aws lamda script
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import json | |
import urllib | |
import boto3 | |
import httplib | |
import re | |
import json | |
addr = '/%s/hosts/%s/%s?realtime=1' % ("accountkey","hostkey","logkey") | |
print('Loading function') | |
s3 = boto3.client('s3') | |
def lambda_handler(event, context): | |
print("Received event: " + json.dumps(event, indent=2)) | |
# Get the object from the event and show its content type | |
bucket = event['Records'][0]['s3']['bucket']['name'] | |
key = urllib.unquote_plus(event['Records'][0]['s3']['object']['key']).decode('utf8') | |
conn = httplib.HTTPConnection("api.logentries.com") | |
conn.request('PUT', addr ) | |
conn.send('{ "level":"info","content": "Received Event"}\n') | |
conn.close() | |
try: | |
key = boto3.resource('s3').Object(bucket, key).get() | |
print("CONTENT TYPE: " + key['ContentType']) | |
chunk = key['Body'].read(1024*8) | |
while chunk: | |
logLines(chunk) | |
chunk = key['Body'].read(1024*8) | |
return key['ContentType'] | |
except Exception as e: | |
print(e) | |
print('Error getting object {} from bucket {}. Make sure they exist and your bucket is in the same region as this function.'.format(key, bucket)) | |
raise e | |
def logLines(content): | |
conn = httplib.HTTPConnection("api.logentries.com") | |
conn.request('PUT', addr ) | |
lines = content.splitlines() | |
for line in lines: | |
if(len(line) > 1): | |
pattern = '^([^ ]*) ([^ ]*) ([^ ]*):([0-9]*) ([^ ]*):([0-9]*) ([.0-9]*) ([.0-9]*) ([.0-9]*) (-|[0-9]*) (-|[0-9]*) ([-0-9]*) ([-0-9]*) \"([^ ]*) ([^ ]*) (- |[^ ]*)\" \"([^\"]*)\"' | |
d = re.split(pattern,line) | |
print(d) | |
if( d and len(d)>11 and (int(d[10])>390 or int(d[11])>390)): | |
message = { "elb_status_code": d[10], "backend_status_code": d[11], "method":d[14], "page":d[15], "user_agent": d[17],"client_ip":d[3],"server_ip":d[5], "request_processing_time":d[7],"backend_processing_time":d[8],"response_processing_time":d[9] } | |
conn.send(json.dumps(message)+"\n") | |
conn.close() |
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