Importing invokeTarkovTextract

.gitignore

@@ -1 +1,2 @@
-.aws-sam/
+.aws-sam/
+.application.json

invokeTarkovTextract/.gitignore

@@ -0,0 +1 @@
+.application.json

invokeTarkovTextract/lambda_function.py

@@ -0,0 +1,21 @@
+from urllib.parse import unquote_plus
+
+import boto3
+
+s3_client = boto3.client('s3')
+textract_client = boto3.client('textract')
+
+SNS_TOPIC_ARN = 'arn:aws:sns:eu-west-1:832044451952:AmazonTextract-TarkovTopic'    # We need to create this
+ROLE_ARN = 'arn:aws:iam::832044451952:role/TextractServiceRole'   # This role is managed by AWS
+
+def lambda_handler(event, _):
+    print(f'Event: {event}')
+    for record in event['Records']:
+        bucket = record['s3']['bucket']['name']
+        key = unquote_plus(record['s3']['object']['key'])
+
+        print(f'Document detection for {bucket}/{key}')
+
+        textract_client.start_document_text_detection(
+            DocumentLocation={'S3Object': {'Bucket': bucket, 'Name': key}},
+            NotificationChannel={'RoleArn': ROLE_ARN, 'SNSTopicArn': SNS_TOPIC_ARN})

invokeTarkovTextract/template.yaml

@@ -0,0 +1,14 @@
+AWSTemplateFormatVersion: '2010-09-09'
+Transform: 'AWS::Serverless-2016-10-31'
+Description: An AWS Serverless Specification template describing your function.
+Resources:
+  invokeTarkovTextract:
+    Type: 'AWS::Serverless::Function'
+    Properties:
+      FunctionName: invokeTarkovTextract
+      Description: ''
+      Handler: lambda_function.lambda_handler
+      MemorySize: 128
+      Role: 'arn:aws:iam::832044451952:role/TarkovLambdaRole'
+      Runtime: python3.8
+      Timeout: 3