def lambda_handler(event, context):
bucket = event['Records'][0]['s3']['bucket']['name']
key = event['Records'][0]['s3']['object']['key']
try:
response = s3.get_object(Bucket=bucket, Key=key)
except Exception as e:
print(e)
raise e
try:
s3_file_content = response['Body'].read()
if s3_file_content.endswith(',\n'):
s3_file_content = s3_file_content[:-2]
tweets_str = '['+s3_file_content+']'
tweets = json.loads(tweets_str)
except Exception as e:
print(e)
raise e
try:
twitter_to_es.load(tweets)
except Exception as e:
print(e)
raise e
def manual_function(event, context):
bucket = event['Records'][0]['s3']['bucket']['name']
key = event['Records'][0]['s3']['object']['key']
try:
resp = s3.get_object(Bucket=bucket, Key=key)
except Exception as e:
print(e)
print('Error getting object')
raise e
try:
s3_content = resp['Body'].read()
if s3_content.endswith(',\n'):
s3_content = s3_content[:-2]
tweets_str = '[' + s3_content + ']'
tweets = json.loads(tweets_str)
except Exception as e:
print(e)
print('Error loading json from object')
raise e
try:
twitter_to_es.load(tweets)
except Exception as e:
print(e)
print('Error loading data into ElasticSearch')
raise e
def lambda_handler(event, context):
for record in event['Records']:
# Get the bucket name and key for the new file
bucket = record['s3']['bucket']['name']
key = record['s3']['object']['key']
# Get s3 object, read, and split the file into lines
try:
obj = s3.get_object(Bucket=bucket, Key=key)
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
# Parse s3 object content (JSON)
try:
# https://stackoverflow.com/questions/31976273/open-s3-object-as-a-string-with-boto3
print(obj)
s3_file_content = obj['Body'].read().decode('utf-8')
# clean trailing comma
#if s3_file_content.endswith(',\n'):
# s3_file_content = s3_file_content[:-2]
#commenting out below line to try to troubleshoot
#tweets_str = '['+s3_file_content+']'
# print(tweets_str)
#tweets = json.loads(tweets_str)
tweets = [
json.loads(jline) for jline in s3_file_content.splitlines()
]
except Exception as e:
print(e)
print('Error loading json from object {} in bucket {}'.format(
key, bucket))
raise e
# Load data into ES
try:
twitter_to_es.load(tweets)
except Exception as e:
print(e)
print('Error loading data into ElasticSearch')
raise e
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 = event['Records'][0]['s3']['object']['key']
# Getting s3 object
try:
response = s3.get_object(Bucket=bucket, Key=key)
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
# Parse s3 object content (JSON)
try:
s3_file_content = response['Body'].read()
#clean trailing comma
tweet_array = ','.join(s3_file_content.decode().split('\n'))
if tweet_array.endswith(','):
tweet_array = tweet_array[:-1]
tweets_str = '[' + tweet_array + ']'
tweets = json.loads(tweets_str)
except Exception as e:
print(e)
print('Error loading json from object {} in bucket {}'.format(
key, bucket))
raise e
# Load data into ES
try:
twitter_to_es.load(tweets)
except Exception as e:
print(e)
print('Error loading data into ElasticSearch')
raise e
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 = event['Records'][0]['s3']['object']['key']
# Getting s3 object
try:
response = s3.get_object(Bucket=bucket, Key=key)
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
# Parse s3 object content (JSON)
try:
s3_file_content = response['Body'].read()
#clean trailing comma
if s3_file_content.endswith(',\n'):
s3_file_content = s3_file_content[:-2]
tweets_str = '['+s3_file_content+']'
tweets = json.loads(tweets_str)
except Exception as e:
print(e)
print('Error loading json from object {} in bucket {}'.format(key, bucket))
raise e
# Load data into ES
try:
twitter_to_es.load(tweets)
except Exception as e:
print(e)
print('Error loading data into ElasticSearch')
raise e
import json
import boto3
import config
import twitter_to_es
from elasticsearch import Elasticsearch
def create_index(es,index_name,mapping):
print('creating index {}...'.format(index_name))
mapping_dict = {'mapping': mapping}
mapping_str = str(mapping_dict)
print json.dumps(mapping_dict)
mapping_dict = "{\"mappings\":{\"logs_june\":{\"_timestamp\": {\"enabled\": \"true\"},\"properties\":{\"logdate\":{\"type\":\"date\",\"format\":\"dd/MM/yyy HH:mm:ss\"}}}}}"
es.indices.create(index_name, body = {'mappings': mapping})
print {'mapping': mapping}
bucket = 'mentzera'
key = 'twitter/2015/10/16/14/twitter-stream-1-2015-10-16-14-21-36-7e019a27-7b3d-47d5-8805-344832c67be4'
key = 'twitter/2015/10/20/20/twitter-stream-1-2015-10-20-20-23-33-8f39af04-ee9f-45d6-a2da-06dc068f0c15'
s3 = boto3.client('s3')
response = s3.get_object(Bucket=bucket, Key=key)
s3_file_content = response['Body'].read()
if s3_file_content.endswith(',\n'):
s3_file_content = s3_file_content[:-2]
tweets_str = '['+s3_file_content+']'
tweets = json.loads(tweets_str)
print len(tweets)
twitter_to_es.load(tweets)
# es.indices.create(index_name, body = json.dumps(mapping_dict))
es.indices.create(index_name, body={'mappings': mapping})
print {'mapping': mapping}
bucket = 'store-twitter-stream'
# key = 'twitter/2015/10/16/14/twitter-stream-1-2015-10-16-14-21-36-7e019a27-7b3d-47d5-8805-344832c67be4'
# key = 'twitter/2015/10/20/20/twitter-stream-1-2015-10-20-20-23-33-8f39af04-ee9f-45d6-a2da-06dc068f0c15'
# key = 'twitter/raw-data/2017/07/28/15/twitter-delivery-stream-1-2017-07-28-15-46-45-c7deaace-4db4-4711-b07c-08bbbf3fe451'
# key = 'twitter/raw-data/2017/08/01/15/twitter-delivery-stream-1-2017-08-01-15-00-56-f458fe4e-c192-458b-a42f-1512f8a18b95'
# key = 'twitter/raw-data/2017/08/01/15/twitter-delivery-stream-1-2017-08-01-15-05-56-89a3c060-7119-4332-a034-5f1089a86335'
# key = 'twitter/raw-data/2017/07/20/00/twitter-delivery-stream-1-2017-07-20-00-01-21-30463ecb-fdf1-4ac8-810c-2e8f85123cb0'
# key = 'twitter/raw-data/2017/07/20/21/twitter-delivery-stream-1-2017-07-20-21-04-20-8bba6196-cdb2-4daa-a64a-10c8b06314ff'
# key = 'twitter/raw-data/2017/07/21/00/twitter-delivery-stream-1-2017-07-21-00-09-56-0d959232-f4cd-440e-b2b3-ac9b95aa2a04'
key = 'twitter/raw-data/2017/07/22/18/twitter-delivery-stream-1-2017-07-22-18-03-16-8baafc4a-f1ee-46e2-b2f7-3ebc45eaabcb'
s3 = boto3.client('s3')
response = s3.get_object(Bucket=bucket, Key=key)
s3_file_content = response['Body'].read()
#clean trailing comma
if s3_file_content.endswith(',\n'):
s3_file_content = s3_file_content[:-2]
tweets_str = '[' + s3_file_content + ']'
# tweets_str = '['+response['Body'].read().replace('}{','},\n{')+']'
# with open("/tmp/1.txt", "w") as text_file:
# text_file.write(tweets_str)
tweets = json.loads(tweets_str)
print len(tweets)
twitter_to_es.load(tweets)
def send_to_es(line):
doc = json.loads(line)
if "limit" not in doc:
twitter_to_es.load(doc)
