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| 1 | +# AWS Lambda Function S3 Move Python example |
| 2 | + |
| 3 | +This folder contains an AWS Lambda Function example in Python on AWS (Amazon Web Services). |
| 4 | + |
| 5 | +It handles an AWS Lambda function that moves an object when it appears in a S3 bucket to another S3 bucket using the Client API (low-level) of Boto 3. |
| 6 | + |
| 7 | +## Requirements |
| 8 | + |
| 9 | +* You must have an [Amazon Web Services (AWS)](http://aws.amazon.com/) account. |
| 10 | + |
| 11 | +* The code was written for Python 3 and AWS SDK for Python (Boto 3). |
| 12 | + |
| 13 | +* This example uses Client API (low-level) of Boto 3. |
| 14 | + |
| 15 | +* The AWS Lambda execution environment include SDK for Python (Boto 3). |
| 16 | + |
| 17 | +## Using the code |
| 18 | + |
| 19 | +* You can select the destination bucket name changing the value of `DESTINATION_BUCKET` variable in the code. |
| 20 | + |
| 21 | +* Access the AWS console. |
| 22 | + |
| 23 | +* Create a S3 bucket for the source and another S3 bucket for the target. |
| 24 | + |
| 25 | +* Create an IAM Policy: ex. `Policy-VM-buckets` |
| 26 | + |
| 27 | + Content of the IAM policy: |
| 28 | + |
| 29 | + ```bash |
| 30 | + { |
| 31 | + "Version": "2012-10-17", |
| 32 | + "Statement": [ |
| 33 | + { |
| 34 | + "Effect": "Allow", |
| 35 | + "Action": [ |
| 36 | + "s3:GetObject" |
| 37 | + ], |
| 38 | + "Resource": [ |
| 39 | + "arn:aws:s3:::sourcevm/*" |
| 40 | + ] |
| 41 | + }, |
| 42 | + { |
| 43 | + "Effect": "Allow", |
| 44 | + "Action": [ |
| 45 | + "s3:PutObject" |
| 46 | + ], |
| 47 | + "Resource": [ |
| 48 | + "arn:aws:s3:::targetvm/*" |
| 49 | + ] |
| 50 | + }, |
| 51 | + { |
| 52 | + "Sid": "Stmt1430872844000", |
| 53 | + "Effect": "Allow", |
| 54 | + "Action": [ |
| 55 | + "cloudwatch:*" |
| 56 | + ], |
| 57 | + "Resource": [ |
| 58 | + "*" |
| 59 | + ] |
| 60 | + }, |
| 61 | + { |
| 62 | + "Sid": "Stmt1430872852000", |
| 63 | + "Effect": "Allow", |
| 64 | + "Action": [ |
| 65 | + "logs:*" |
| 66 | + ], |
| 67 | + "Resource": [ |
| 68 | + "*" |
| 69 | + ] |
| 70 | + } |
| 71 | + ] |
| 72 | + } |
| 73 | + ``` |
| 74 | + |
| 75 | +* Create a role: `Role-VM-buckets`. |
| 76 | + |
| 77 | + This role uses the policy `Policy-VM-buckets` |
| 78 | + |
| 79 | +* Create an AWS lambda function. |
| 80 | + * Name: `<LAMBDA_NAME>` |
| 81 | + * Runtime: `Python 3.6` |
| 82 | + * Handler: `lambda_function.lambda_handler` |
| 83 | + * Role: `Role-VM-buckets` |
| 84 | + * The triggers: |
| 85 | + * `S3` |
| 86 | + * Bucket: `<BUCKET_NAME>` |
| 87 | + * Event type: `ObjectCreated` |
| 88 | + * Enable trigger: `Yes` |
| 89 | + * The resources that the function's role has access to: |
| 90 | + * `Amazon CloudWatch` |
| 91 | + * `Amazon CloudWatch Logs` |
| 92 | + * `Amazon S3` |
| 93 | + * Basic Settings for the lambda function: |
| 94 | + * Memory (MB): `1024` |
| 95 | + * Timeout: `10 sec` |
| 96 | + |
| 97 | +* Write the code. |
| 98 | + |
| 99 | + The content of `lambda_function.py` file. |
| 100 | + |
| 101 | +* Save the Lambda function. |
| 102 | + |
| 103 | + It deploys the Lambda function. |
| 104 | + |
| 105 | +* Test the function: |
| 106 | + |
| 107 | + Copy a file in the source S3 bucket. |
| 108 | + |
| 109 | + The object from the source S3 bucket should be copied to the target S3 bucket and deleted in the source S3 bucket. |
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