def test_s3_filter(self):
t = Template()
t.add_resource(
Function(
"ProcessorFunction",
Handler='process_file.handler',
CodeUri='.',
Runtime='python3.6',
Policies='AmazonS3FullAccess',
Events={
'FileUpload': S3Event(
'FileUpload',
Bucket="bucket",
Events=['s3:ObjectCreated:*'],
Filter=Filter(S3Key=S3Key(
Rules=[
Rules(Name="prefix", Value="upload/"),
Rules(Name="suffix", Value=".txt"),
],
))
)
}
)
)
t.to_json()
def add_submit_lambda(self):
## We will make event triggers for all affiliates.
all_affiliates = self.config["UXData"]["Affiliates"]
## Make Rule sets for each affiliate:
all_events = {}
for affiliate in all_affiliates:
## Get necessary properties:
affiliatename = affiliate["AffiliateName"]
## If user input, reads directly from input directory. If other function output, reads from output directory.
assert type(affiliate["UserInput"]
) == bool, "must provide a json boolean for UserInput"
if affiliate["UserInput"] == True:
readdir = self.config['Lambda']['LambdaConfig']['SUBMITDIR']
elif affiliate["UserInput"] == False:
readdir = self.config['Lambda']['LambdaConfig']['OUTDIR']
aff_filter = Filter(
'Filter' + affiliatename,
S3Key=S3Key('S3Key' + affiliatename,
Rules=[
Rules('PrefixRule' + affiliatename,
Name='prefix',
Value=affiliatename + '/' + readdir),
Rules('SuffixRule' + affiliatename,
Name='suffix',
Value='submit.json')
]))
event_name = 'BucketEvent' + affiliatename
all_events[event_name] = {
'Type': 'S3',
'Properties': {
'Bucket': Ref('PipelineMainBucket'),
'Events': ['s3:ObjectCreated:*'],
'Filter': aff_filter
}
}
## We're going to add in all of the lambda configuration items to the runtime environment.
lambdaconfig = self.config['Lambda']['LambdaConfig']
#lambdaconfig ={}
### Most of the config can be done through the config file, but we will pass certain elements from the template.
lambdaconfig['figlambid'] = Ref(self.figurelamb)
lambdaconfig['figlambarn'] = GetAtt(self.figurelamb, 'Arn')
lambdaconfig['cwrolearn'] = GetAtt(self.cwrole, 'Arn')
## Now add to a lambda function:
function = Function(
'MainLambda',
CodeUri='../../protocols',
Runtime='python3.6',
Handler='submit_start.handler',
Description='Main Lambda Function for Serverless',
MemorySize=128,
Timeout=self.config["Lambda"]['LambdaConfig']["EXECUTION_TIMEOUT"],
Role=
'arn:aws:iam::739988523141:role/lambda_dataflow', ## TODO: Create this in template
Events=all_events,
#Environment = Environment(Variables={'figlambid':Ref(self.figurelamb),'figlambarn':GetAtt(self.figurelamb,'Arn'),'cwrolearn':GetAtt(self.cwrole,'Arn')})
Environment=Environment(Variables=lambdaconfig))
self.template.add_resource(function)
def test_s3_filter(self):
t = Template()
t.add_resource(
Function(
"ProcessorFunction",
Handler="process_file.handler",
CodeUri=".",
Runtime="python3.6",
Policies="AmazonS3FullAccess",
Events={
"FileUpload":
S3Event(
"FileUpload",
Bucket="bucket",
Events=["s3:ObjectCreated:*"],
Filter=Filter(S3Key=S3Key(Rules=[
Rules(Name="prefix", Value="upload/"),
Rules(Name="suffix", Value=".txt"),
], )),
)
},
))
t.to_json()
)
]),
LifecycleConfiguration=LifecycleConfiguration(Rules=[
LifecycleRule(
Id='DeleteUploadsAfterOneDay',
Status='Enabled',
ExpirationInDays=1,
Prefix='upload/',
)
], ),
NotificationConfiguration=NotificationConfiguration(
TopicConfigurations=[
TopicConfigurations(Event='s3:ObjectCreated:*',
Filter=Filter(S3Key=S3Key(Rules=[
Rules(
Name='prefix',
Value='upload/',
)
], ), ),
Topic=Ref(upload_topic))
], ),
))
video_bucket = template.add_resource(
Bucket(
'VideoBucket',
CorsConfiguration=CorsConfiguration(CorsRules=[
CorsRules(
AllowedOrigins=['*'],
AllowedMethods=['GET', 'HEAD'],
AllowedHeaders=['*'],
)
Description="The name of the lambda function",
Type="String",
Default="gziptosnappy"))
"""
Create S3 Bucket With a Notifications Configuration.
The bucket notifies the lambda function in case there is a PUT event.
"""
S3Bucket = t.add_resource(
Bucket("S3Bucket",
BucketName=Ref(inputBucketName),
NotificationConfiguration=NotificationConfiguration(
LambdaConfigurations=[
LambdaConfigurations(Event="s3:ObjectCreated:*",
Filter=Filter(S3Key=S3Key(Rules=[
Rules(Name="prefix",
Value=Ref(inputKeyPrefix)),
Rules(Name="suffix", Value=".gz")
])),
Function=Ref(functionName))
])))
BucketPermission = t.add_resource(
Permission("BucketPermission",
Action="lambda:InvokeFunction",
FunctionName=Ref(functionName),
Principal="s3.amazonaws.com",
SourceAccount=Ref("AWS::AccountId"),
SourceArn=Join("",
["aws:arn:s3:::", Ref(S3Bucket)])))
"""
Create Lambda Function
