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executable file 63 lines (47 sloc) 1.94 KB
import os
import json
import http.client
from urllib import parse, request
import boto3
s3 = boto3.client('s3')
sqs = boto3.resource('sqs')
st2_host = os.environ.get("ST2_HOST")
st2_url = os.environ.get("ST2_API_URL")
st2_api_token = os.environ.get("ST2_API_KEY")
queue_name = 'pcgr'
headers = {
'St2-Api-Key': st2_api_token,
'Content-Type': 'application/json',
def st2_callback(fname):
""" Just a HTTP POST query to StackStorm server with minimal payload
connection = http.client.HTTPSConnection(st2_host)
params = json.dumps({"trigger": "pcgr.up", "payload": {"status": "done",
"task": "instantiate",
"fname": fname}})
connection.request("POST", "/api/v1/webhooks/st2", params, headers)
# We do actually have to care about the response
response = connection.getresponse()
data =
def queue_sample(fname):
queue = sqs.get_queue_by_name(QueueName=queue_name)
response = queue.send_message(MessageBody=fname)
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 = parse.unquote_plus(event['Records'][0]['s3']['object']['key'], encoding='utf-8')
response = s3.get_object(Bucket=bucket, Key=key)
# Queue samples to be processed in AWS SQS Queue
# Tell StackStorm about the new file in the bucket
# so that it can start the corresponding workflow
return key
except Exception as 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