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Transform: AWS::Serverless-2016-10-31
Resources:
  SourceBucket:
    Type: AWS::S3::Bucket
  DestinationBucket:
    Type: AWS::S3::Bucket
  Function:
    Type: AWS::Serverless::Function
    Properties:
      CodeUri: src/Function

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Transform: AWS::Serverless-2016-10-31
Resources:
  Function:
    Type: AWS::Serverless::Function # This resource is a Lambda function
    Properties:
      CodeUri: src/Function # Location in your file structure where the function code is saved
      Handler: index.handler # Your Lambda function handler, or the method in your function code that's called every time your function is invoked
      Runtime: python3.11

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# Given a list id, retrieve an array with word ids and simplified characters for that list
# This function is part of a state machine that generates pronunciation audio files for a given list
import list_word_service

def lambda_handler(event, context):
    list_id = event['list_id']
    last_word_token = event['last_word_token']
    
    # Call to list_word_service, a shared service in the application
    # for querying DynamoDB for words by list ID

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GenerateAudioStateMachine:
  Type: AWS::Serverless::StateMachine
  Properties:
    Name: !Sub GenerateAudioStateMachine-${Stage}
    DefinitionUri: src/generate_audio_state_machine.asl.json
    DefinitionSubstitutions:
      TableName: !Ref DynamoDBTable
      GetWordsForListIdFunction: !Ref GetWordsForListId
      PronunciationAudioBucket: !Ref PronunciationAudioBucket
    Policies:

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{
    "Comment": "Generates and save audio files for a given list ID.",
    "StartAt": "Get word list",
    "States": {
      "Get word list": {
        "Type": "Task",
        "Resource": "arn:aws:states:::lambda:invoke",
        "OutputPath": "$.Payload",
        "Parameters": {
          "Payload": {

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AWSTemplateFormatVersion: '2010-09-09'
Transform: 'AWS::Serverless-2016-10-31'
Description: An example deployment for migrating data between DynamoDB tables

Resources:
    ExistingTable:
        Type: AWS::DynamoDB::Table
        DeletionPolicy: Retain
        Properties:
          TableName: ExportDataTable

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{
  "ModelName": "full-table-design",
  "ModelMetadata": {
    "Author": "",
    "DateCreated": "Jun 04, 2021, 05:33 PM",
    "DateLastModified": "Jun 16, 2021, 11:01 PM",
    "Description": "",
    "AWSService": "Amazon DynamoDB",
    "Version": "3.0"
  },

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import json
import boto3

# Specify your existing (export) and new (import) table names and the region your tables are in
export_table_name = "ExportDataTable"
import_table_name = "ImportDataTable"
dynamodb = boto3.resource('dynamodb', region_name='us-east-1')
table = dynamodb.Table(import_table_name)

def import_table_data():

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import json
import boto3

# Specify your table name and the region your table is in
export_table_name = "ExportDataTable"
dynamodb = boto3.resource('dynamodb', region_name='us-east-1')
table = dynamodb.Table(export_table_name)

def export_table_data():
    print(f"Exporting data from {export_table_name}")

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import os
import boto3
import datetime
from typing import List, Dict
from dataclasses import dataclass
from boto3.dynamodb.conditions import Key

@dataclass
class Subscription:
    list_name: str