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{
    "fileLocations": [
        {
            "URIPrefixes": [
                "s3://my-bucket-name"
            ]
        }
    ],
    "globalUploadSettings": {
        "format": "JSON"

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import os
import json
import boto3
from datetime import datetime

# Import resources using AWS Python SDK (boto3) and specify the DynamoDB table to scan and S3 bucket to write file to
# Table and bucket name are passed as environment variables in SAM template
s3 = boto3.resource('s3')
bucket = s3.Bucket(os.environ['BUCKET_NAME'])
table = boto3.resource('dynamodb').Table(os.environ['TABLE_NAME'])

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AWSTemplateFormatVersion: '2010-09-09'
Transform: 'AWS::Serverless-2016-10-31'
Description: An app that includes a DynamoDB table, a Lambda function that writes to DynamoDB, and a scheduled EventBridge event

Resources:
  LambdaWriteToDynamoDB:
    # A function that writes to a DynamoDB table on a schedule
    Type: 'AWS::Serverless::Function'
    Properties:
      FunctionName: LambdaWriteToDynamoDB

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AWSTemplateFormatVersion: '2010-09-09'
Transform: 'AWS::Serverless-2016-10-31'
Description: An example SAM template for a Lambda & API Gateway app that sends messages using SNS.
Parameters:
  # For any variables you don't want stored in your repo, you can pass them through the SAM deploy command
  # Ie, sam deploy .... --parameter-overrides MyEmail=myemail@gmail.com
  MyEmail:
    Type: String

Resources:

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AWSTemplateFormatVersion: '2010-09-09'
Transform: 'AWS::Serverless-2016-10-31'
Description: An example SAM template for a Lambda function invoked by API Gateway.

Resources:
  MyFunction:
    Type: 'AWS::Serverless::Function'
    Properties:
      FunctionName: MyFunction
      Handler: MyFunction.lambda_handler

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AWSTemplateFormatVersion: '2010-09-09'
Transform: 'AWS::Serverless-2016-10-31'

Resources:
  Function:
    Type: 'AWS::Serverless::Function'
    Properties:
      CodeUri: src/Function
      Handler: handler.handler
      Runtime: python3.11

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{
    "Version": "2012-10-17",
    "Statement": [
        {
            "Effect": "Allow",
            "Action": [
                "iam:*",
                "lambda:*",
                "cloudformation:*",
                "sns:CreateTopic",

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import unittest
from unittest import mock

# Setting the default AWS region environment variable required by the Python SDK boto3
with mock.patch.dict('os.environ', {'AWS_REGION': 'us-east-1'}):
    from translate_file.app import lambda_handler

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# Mock call to S3 to read file
def mocked_read_file(bucket_name, key_name):
    return "我爱写单元测试！"

# Mock call to Translate to translate file text
def mocked_translate_text(original_text):
    return {
       "original_text":"我爱写单元测试！",
       "translated_text":"I love writing unit tests!",
       "original_language":"zh",

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class TranslateFileTest(unittest.TestCase):

    # Test for valid file type (.txt)
    @mock.patch('translate_file.app.read_file', side_effect=mocked_read_file)
    @mock.patch('translate_file.app.translate_text', side_effect=mocked_translate_text)
    def test_valid_file(self, translate_text_mock, read_file_mock):

        response = lambda_handler(self.s3_upload_event("valid_file.txt"), "")
        expected_response = {
            "success": True,