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pca-main-nokendra.template
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AWSTemplateFormatVersion: "2010-09-09"
Description: Amazon Transcribe Post Call Analytics - PCA (v0.7.5) (uksb-1sn29lk73)
Parameters:
AdminUsername:
Type: String
Default: "admin"
Description: (Required) Username for admin user
AdminEmail:
Type: String
Description: >-
(Required) Email address for the admin user. Will be used for logging in and for setting the admin password.
This email will receive the temporary password for the admin user.
AllowedPattern: ".+\\@.+\\..+"
ConstraintDescription: Must be valid email address eg. [email protected]
BulkUploadBucketName:
Type: String
Default: ""
Description: >-
(Optional) Existing bucket where files can be dropped, and a secondary Step Function can be
manually enabled to drip feed them into the system.
Leave blank to automatically create new bucket.
BulkUploadMaxDripRate:
Type: String
Default: "25"
Description: Maximum number of files that the bulk uploader will move to the PCA source bucket in one pass
BulkUploadMaxTranscribeJobs:
Type: String
Default: "50"
Description: Number of concurrent Transcribe jobs (executing or queuing) where bulk upload will pause
ComprehendLanguages:
Type: String
Default: en | es | fr | de | it | pt | ar | hi | ja | ko | zh | zh-TW
Description: Languages supported by Comprehend's standard calls, separated by " | "
ContentRedactionLanguages:
Type: String
Default: en-US
Description: Languages supported by Transcribe's Content Redaction feature, separated by " | "
ConversationLocation:
Type: String
AllowedPattern: "[+-_\/a-zA-Z0-9]*"
Default: America/New_York
Description: Name of the timezone location for the call source - this is the TZ database name from https://en.wikipedia.org/wiki/List_of_tz_database_time_zones
EntityRecognizerEndpoint:
Type: String
Default: undefined
Description: Name of the custom entity recognizer for Amazon Comprehend (not including language suffix, e.g. -en). If one cannot be found then simple entity string matching is attempted instead
EntityStringMap:
Type: String
Default: sample-entities.csv
Description: Basename of a CSV file containing item/Entity maps for when we don't have data for Comprehend Custom Entities (not including language suffix, e.g. -en)
EntityThreshold:
Type: String
Default: "0.6"
Description: Confidence threshold where we accept the custom entity detection result
EntityTypes:
Type: String
Default: PERSON | LOCATION | ORGANIZATION | COMMERCIAL_ITEM | EVENT | DATE | QUANTITY | TITLE
Description: Entity types supported by Comprehend's standard entity detection, separated by " | "
InputBucketAudioPlayback:
Type: String
Default: playbackAudio
Description: Folder that holds the audio files to playback in the browser.
InputBucketFailedTranscriptions:
Type: String
Default: failedAudio
Description: Folder that holds the audio files that for some reason failed transcription
InputBucketName:
Type: String
Default: ""
Description: >-
(Optional) Existing bucket holding all audio files for the system.
Leave blank to automatically create new bucket with intelligent tiering storage and automated retention policy.
InputBucketRawAudio:
Type: String
Default: originalAudio
Description: Prefix/Folder that holds the audio files to be ingested into the system
InputBucketOrigTranscripts:
Type: String
Default: originalTranscripts
Description: >
Folder that holds Transcripts from other applications (e.g. Live Call Analytics) that are to be
processed as if PCA had processed that audio
MaxSpeakers:
Type: String
Default: "2"
Description: Maximum number of speakers that are expected on a call
MinSentimentNegative:
Type: String
Default: "2.0"
Description: Minimum sentiment level required to declare a phrase as having negative sentiment, in the range 0.0-5.0
MinSentimentPositive:
Type: String
Default: "2.0"
Description: Minimum sentiment level required to declare a phrase as having positive sentiment, in the range 0.0-5.0
OutputBucketName:
Type: String
Default: ""
Description: >-
(Optional) Existing bucket where Transcribe output files are delivered.
Leave blank to automatically create new bucket with intelligent tiering storage and automated retention policy.
OutputBucketTranscribeResults:
Type: String
Default: transcribeResults
Description: Folder within the output S3 bucket where Transcribe results are written
OutputBucketParsedResults:
Type: String
Default: parsedFiles
Description: Folder within the output S3 bucket where parsed results are written
SpeakerNames:
Type: String
Default: Customer | Agent
AllowedValues:
- Customer | Agent
- Agent | Customer
Description: Speaker label assignment order
SpeakerSeparationType:
Type: String
Default: channel
AllowedValues:
- speaker
- channel
Description: Separation mode diarization - typically speaker for mono files, channel for stereo files
StepFunctionName:
Type: String
AllowedPattern: "[-_a-zA-Z0-9]*"
Default: PostCallAnalyticsWorkflow
Description: Name of Step Functions workflow that orchestrates this process
BulkUploadStepFunctionName:
Type: String
AllowedPattern: "[-_a-zA-Z0-9]*"
Default: BulkUploadWorkflow
Description: Name of Step Functions workflow that orchestrates the bulk import process
SupportFilesBucketName:
Type: String
Default: ''
Description: >-
(Optional) Existing bucket that hold supporting files, such as the file-based
entity recognition mapping files. Leave blank to automatically create new bucket.
TranscribeLanguages:
Type: String
Default: en-US
Description: Language to be used for Transcription - multiple entries separated by " | " will trigger Language Detection
VocabFilterMode:
Type: String
Default: mask
AllowedValues:
- mask
- remove
Description: The mode to use for vocabulary filtering - must be one of mask or remove (tag is not supported)
VocabFilterName:
Type: String
Default: undefined
Description: Name of the vocabulary filter to use for Transcribe (not including language suffix, e.g. -en)
VocabularyName:
Type: String
Default: undefined
Description: Name of the custom vocabulary to use for Transcribe (omit the language suffix, e.g. -en-US)
CustomLangModelName:
Type: String
Default: undefined
Description: Name of the custom language model to use for Transcribe (omit the language suffix, e.g. -en-US)
TranscribeApiMode:
Type: String
Default: analytics
AllowedValues:
- standard
- analytics
Description: Set the default operational mode for Transcribe
TelephonyCTRType:
Type: String
Default: none
AllowedValues:
- none
- genesys
Description: Type of telephony system that will deliver Contact Trace Record files along with the audio recordings
TelephonyCTRFileSuffix:
Type: String
Default: "_metadata.json | _call_metadata.json"
Description: >
File name suffixes for the CTR file(s) associated with the chosen telephony type, separated by " | ".
For Genesys, this needs two entries: one for the conversation CTR file, and one for the call-specific file.
Other telephony systems may need fewer or additional entries, please consult the documentation.
CallRedactionTranscript:
Type: String
Default: true
AllowedValues:
- true
- false
Description: Enable or disable Transcribe's redaction feature
CallRedactionAudio:
Type: String
Default: true
AllowedValues:
- true
- false
Description: When transcript redaction is enabled in Call Analytics, only allow playback of the redacted audio
ffmpegDownloadUrl:
Type: String
Default: http://www.johnvansickle.com/ffmpeg/old-releases/ffmpeg-4.4-amd64-static.tar.xz
Description: URL for ffmpeg binary distribution tar file download - see https://www.johnvansickle.com/ffmpeg/
loadSampleAudioFiles:
Type: String
Default: false
AllowedValues:
- true
- false
Description: Set to true to automatically ingest sample audio files.
FilenameDatetimeRegex:
Type: String
Default: '(\d{4})-(\d{2})-(\d{2})T(\d{2})-(\d{2})-(\d{2})'
Description: >
Regular Expression (regex) used to parse call Date/Time from audio filenames.
Each datetime field (year, month, etc.) must be matched using a separate parenthesized group in the regex.
Example: the regex '(\d{4})-(\d{2})-(\d{2})T(\d{2})-(\d{2})-(\d{2})' parses
the filename: CallAudioFile-2021-12-01T07-55-51.wav into a value list: [2021, 12, 01, 07, 55, 51]
The next parameter, FilenameDatetimeFieldMap, maps the values to datetime field codes.
If the filename doesn't match the regex pattern, the current time is used as the call timestamp.
FilenameDatetimeFieldMap:
Type: String
Default: '%Y %m %d %H %M %S'
Description: >
Space separated ordered sequence of time field codes as used by Python's datetime.strptime() function.
Each field code refers to a corresponding value parsed by the regex parameter filenameTimestampRegex.
Example: the mapping '%Y %m %d %H %M %S' assembles the regex output values [2021, 12, 01, 07, 55, 51]
into the full datetime: '2021-12-01 07:55:51'.
If the field map doesn't match the value list parsed by the regex, then the current time is used as the call timestamp.
FilenameGUIDRegex:
Type: String
Default: '_GUID_(.*?)_'
Description: >
Regular Expression (regex) used to parse call GUID from audio filenames.
The GUID value must be matched using one or more parenthesized groups in the regex.
Example: the regex '_GUID_(.*?)_' parses
the filename: AutoRepairs1_CUST_12345_GUID_2a602c1a-4ca3-4d37-a933-444d575c0222_AGENT_BobS_DATETIME_07.55.51.067-09-16-2021.wav
to extract the GUID value '2a602c1a-4ca3-4d37-a933-444d575c0222'.
FilenameAgentRegex:
Type: String
Default: '_AGENT_(.*?)_'
Description: >
Regular Expression (regex) used to parse call AGENT from audio filenames.
The AGENT value must be matched using one or more parenthesized groups in the regex.
Example: the regex '_AGENT_(.*?)_' parses
the filename: AutoRepairs1_CUST_12345_GUID_2a602c1a-4ca3-4d37-a933-444d575c0222_AGENT_BobS_DATETIME_07.55.51.067-09-16-2021.wav
to extract the AGENT value 'BobS'.
FilenameCustRegex:
Type: String
Default: '_CUST_(.*?)_'
Description: >
Regular Expression (regex) used to parse Customer from audio filenames.
The customer id value must be matched using one or more parenthesized groups in the regex.
Example: the regex '_CUST_(.*?)_' parses
the filename: AutoRepairs1_CUST_12345_GUID_2a602c1a-4ca3-4d37-a933-444d575c0222_AGENT_BobS_DATETIME_07.55.51.067-09-16-2021.wav
to extract the Customer value '12345'.
EnableTranscriptKendraSearch:
Type: String
Default: 'No'
AllowedValues:
- 'No'
Description: (NOT AVAILABLE) Optionally make call transcripts searchable, using Amazon Kendra.
RetentionDays:
Type: Number
Default: 365
AllowedValues:
- 30
- 60
- 90
- 180
- 365
- 730
- 1460
Description: >
When using auto-provisioned S3 buckets, your audio files and associated call analysis data will be
automatically and permanently deleted after the specified number of retention days. The application
does not currently archive recordings or call data.
Environment:
Description: The type of environment to tag your infrastructure with. You can specify DEV (development), TEST (test), or PROD (production).
Type: String
AllowedValues:
- DEV
- TEST
- PROD
Default: PROD
DatabaseName:
Type: String
Default: 'pca'
Description: Glue catalog database name used to contain tables/views for SQL integration.
EnablePcaDashboards:
Type: String
Default: 'No'
AllowedValues:
- 'No'
- 'Yes'
Description: >
Optionally deploy advanced analytics pipeline and Amazon QuickSight dashboards.
IMPORTANT: Your Amazon QuickSight account MUST be enabled before deploying this stack. See http://www.amazon.com/pca-dashboards for additional
steps required in Amazon QuickSight to (1) enable S3 access to PCA OutputBucket and (2) share dashboard and analytics assets.
GenAIQuery:
Default: 'BEDROCK'
Type: String
AllowedValues:
- 'DISABLED'
- 'BEDROCK'
- 'ANTHROPIC'
Description: >
If enabled, gives the ability to query an individual call for information.
The BEDROCK option requires you to choose one of the supported model IDs from the provided list (GenAIQueryBedrockModelId).
You must also accept access to that model in the Amazon Bedrock > Model Access console.
The ANTHROPIC option is a third party service, and you must enter your Anthropic API key in the
Third Party LLM API Key section.
GenAIQueryBedrockModelId:
Type: String
Default: anthropic.claude-v2
AllowedValues:
- amazon.titan-text-express-v1
- anthropic.claude-v1
- anthropic.claude-instant-v1
- anthropic.claude-v2
Description: (Optional) If 'GenAIQuery' is BEDROCK, which Bedrock model to use.
CallSummarization:
Default: 'BEDROCK'
Type: String
AllowedValues:
- 'DISABLED'
- 'BEDROCK'
- 'SAGEMAKER'
- 'ANTHROPIC'
- 'LAMBDA'
Description: >
Set to enable call summarization by a Large Language Model.
The BEDROCK option requires you to choose one of the supported model IDs from the provided list (SummarizationBedrockModelId).
You must also accept access to that model in the Amazon Bedrock > Model Access console.
The SAGEMAKER option uses a SageMaker endpoint with the pretrained bart-large-cnn-samsum model with a ml.m5.xlarge instance type.
The LAMBDA option requires you to provide a function ARN below.
The ANTHROPIC option is a third party service, and you must enter your Anthropic API key in the Third Party LLM API Key section.
SummarizationBedrockModelId:
Type: String
Default: anthropic.claude-instant-v1
AllowedValues:
- amazon.titan-text-express-v1
- anthropic.claude-v1
- anthropic.claude-instant-v1
- anthropic.claude-v2
Description: (Optional) If 'CallSummarization' is BEDROCK, which Bedrock model to use.
SummarizationSageMakerInitialInstanceCount:
Type: Number
MinValue: 0
Default: 1
Description: >
(Optional) If 'CallSummarization' is SAGEMAKER, provide initial instance count. Set to '0' to enable Serverless Inference (for cold-start delay tolerant deployments only).
SummarizationLLMThirdPartyApiKey:
Type: String
Description: >
(Optional) If 'CallSummarization' or 'GenAIQuery' is ANTHROPIC, enter the provider API Key. ** Data will leave your AWS account **
Default: undefined
NoEcho: true
SummarizationLambdaFunctionArn:
Default: ''
Type: String
AllowedPattern: '^(|arn:aws:lambda:.*)$'
Description: >
(Optional) If 'CallSummarization' is LAMBDA, provide ARN for a Lambda function.
Metadata:
AWS::CloudFormation::Interface:
ParameterGroups:
- Label:
default: Admin User
Parameters:
- AdminUsername
- AdminEmail
- Label:
default: Sample Data
Parameters:
- loadSampleAudioFiles
- Label:
default: Enable Call Transcript Search
Parameters:
- EnableTranscriptKendraSearch
- Label:
default: Call Summarization
Parameters:
- CallSummarization
- SummarizationBedrockModelId
- SummarizationSageMakerInitialInstanceCount
- SummarizationLambdaFunctionArn
- Label:
default: Third Party LLM API Key
Parameters:
- SummarizationLLMThirdPartyApiKey
- Label:
default: Generative AI Query
Parameters:
- GenAIQuery
- GenAIQueryBedrockModelId
- Label:
default: Advanced analytics and reporting
Parameters:
- EnablePcaDashboards
- DatabaseName
- Label:
default: S3 Bucket Names and Retention Policy
Parameters:
- InputBucketName
- BulkUploadBucketName
- OutputBucketName
- SupportFilesBucketName
- RetentionDays
- Label:
default: S3 bucket prefixes
Parameters:
- InputBucketFailedTranscriptions
- InputBucketRawAudio
- InputBucketOrigTranscripts
- InputBucketAudioPlayback
- OutputBucketParsedResults
- OutputBucketTranscribeResults
- Label:
default: Filename metadata parsing
Parameters:
- FilenameDatetimeRegex
- FilenameDatetimeFieldMap
- FilenameGUIDRegex
- FilenameAgentRegex
- FilenameCustRegex
- Label:
default: Transcription
Parameters:
- TranscribeApiMode
- TranscribeLanguages
- VocabFilterMode
- VocabFilterName
- VocabularyName
- CustomLangModelName
- SpeakerSeparationType
- SpeakerNames
- MaxSpeakers
- CallRedactionTranscript
- CallRedactionAudio
- ContentRedactionLanguages
- Label:
default: Telephony system
Parameters:
- TelephonyCTRType
- TelephonyCTRFileSuffix
- Label:
default: Entity detection
Parameters:
- ComprehendLanguages
- EntityThreshold
- EntityTypes
- EntityRecognizerEndpoint
- EntityStringMap
- Label:
default: Sentiment detection
Parameters:
- MinSentimentNegative
- MinSentimentPositive
- Label:
default: Bulk upload
Parameters:
- BulkUploadMaxDripRate
- BulkUploadMaxTranscribeJobs
- BulkUploadStepFunctionName
- Label:
default: Miscellaneous
Parameters:
- ConversationLocation
- Environment
- StepFunctionName
- ffmpegDownloadUrl
Conditions:
ShouldCreateBulkUploadBucket: !Equals [!Ref BulkUploadBucketName, '']
ShouldCreateInputBucket: !Equals [!Ref InputBucketName, '']
ShouldCreateOutputBucket: !Equals [!Ref OutputBucketName, '']
ShouldCreateSupportFilesBucket: !Equals [!Ref SupportFilesBucketName, '']
ShouldEnableKendraSearch: !Not [!Equals [!Ref EnableTranscriptKendraSearch, 'No']]
ShouldCreateKendraIndexDeveloperEdition: !Equals [!Ref EnableTranscriptKendraSearch, 'Yes, create new Kendra Index (Developer Edition)']
ShouldDeployPcaDashboards: !Equals [!Ref EnablePcaDashboards, 'Yes']
ShouldLoadSampleFiles: !Equals [!Ref loadSampleAudioFiles, 'true']
ShouldDeployBedrockBoto3Layer: !Or [!Equals [!Ref CallSummarization, 'BEDROCK'], !Equals [!Ref GenAIQuery, 'BEDROCK'],]
ShouldDeployLLMThirdPartyApiKey: !And [!Not [!Equals [!Ref SummarizationLLMThirdPartyApiKey, '']], !Not [!Equals [!Ref SummarizationLLMThirdPartyApiKey, undefined]]]
ShouldTestBedrockModelId: !Or [!Equals [!Ref CallSummarization, 'BEDROCK'], !Equals [!Ref GenAIQuery, 'BEDROCK'],]
ShouldTestGenAIQueryBedrockModelId: !Equals [!Ref GenAIQuery, 'BEDROCK']
ShouldTestSummarizationBedrockModelId: !Equals [!Ref CallSummarization, 'BEDROCK']
Resources:
########################################################
# S3 buckets
# TODO: Versioning? Lifecycle Policies? Access Logging?
########################################################
BulkUploadBucket:
Condition: ShouldCreateBulkUploadBucket
Type: 'AWS::S3::Bucket'
DeletionPolicy: Retain
UpdateReplacePolicy: Retain
Properties:
BucketEncryption:
ServerSideEncryptionConfiguration:
- ServerSideEncryptionByDefault:
SSEAlgorithm: AES256
InputBucket:
Condition: ShouldCreateInputBucket
Type: 'AWS::S3::Bucket'
DeletionPolicy: Retain
UpdateReplacePolicy: Retain
Properties:
BucketEncryption:
ServerSideEncryptionConfiguration:
- ServerSideEncryptionByDefault:
SSEAlgorithm: AES256
LifecycleConfiguration:
Rules:
- Id: StorageClassAndRetention
Status: Enabled
ExpirationInDays: !Ref RetentionDays
Transitions:
- TransitionInDays: 1
StorageClass: INTELLIGENT_TIERING
OutputBucket:
Condition: ShouldCreateOutputBucket
Type: 'AWS::S3::Bucket'
DeletionPolicy: Retain
UpdateReplacePolicy: Retain
Properties:
BucketEncryption:
ServerSideEncryptionConfiguration:
- ServerSideEncryptionByDefault:
SSEAlgorithm: AES256
LifecycleConfiguration:
Rules:
- Id: LifecycleRule
Status: Enabled
ExpirationInDays: !Ref RetentionDays
Transitions:
- TransitionInDays: 1
StorageClass: INTELLIGENT_TIERING
SupportFilesBucket:
Condition: ShouldCreateSupportFilesBucket
Type: 'AWS::S3::Bucket'
DeletionPolicy: Retain
UpdateReplacePolicy: Retain
Properties:
BucketEncryption:
ServerSideEncryptionConfiguration:
- ServerSideEncryptionByDefault:
SSEAlgorithm: AES256
########################################################
# If Bedrock Models are selected, verify that Bedrock
# is available in the region, and that models are enabled
########################################################
TestBedrockModelFunctionRole:
Type: AWS::IAM::Role
Condition: ShouldTestBedrockModelId
Properties:
AssumeRolePolicyDocument:
Version: '2012-10-17'
Statement:
- Effect: Allow
Principal:
Service: lambda.amazonaws.com
Action: sts:AssumeRole
ManagedPolicyArns:
- arn:aws:iam::aws:policy/service-role/AWSLambdaBasicExecutionRole
Policies:
- PolicyDocument:
Version: 2012-10-17
Statement:
- Effect: Allow
Action:
- "bedrock:InvokeModel"
Resource:
- !Sub "arn:${AWS::Partition}:bedrock:*::foundation-model/*"
- !Sub "arn:${AWS::Partition}:bedrock:*:${AWS::AccountId}:custom-model/*"
PolicyName: BedrockPolicy
TestBedrockModelFunction:
Type: AWS::Lambda::Function
Condition: ShouldTestBedrockModelId
Properties:
Handler: index.lambda_handler
Role: !GetAtt 'TestBedrockModelFunctionRole.Arn'
Runtime: python3.11
Timeout: 60
MemorySize: 128
Code:
ZipFile: !Sub |
import cfnresponse
import json
import subprocess
import os
import sys
print("install latest boto3 to get bedrock service support")
subprocess.check_call([sys.executable, '-m', 'pip', 'install', '--target', '/tmp', 'boto3'])
sys.path.insert(0,'/tmp')
import boto3
# Defaults
AWS_REGION = os.environ["AWS_REGION_OVERRIDE"] if "AWS_REGION_OVERRIDE" in os.environ else os.environ["AWS_REGION"]
ENDPOINT_URL = os.environ.get("ENDPOINT_URL", f'https://bedrock-runtime.{AWS_REGION}.amazonaws.com')
DEFAULT_MAX_TOKENS = 128
def get_request_body(modelId, parameters, prompt):
provider = modelId.split(".")[0]
request_body = None
if provider == "anthropic":
request_body = {
"prompt": prompt,
"max_tokens_to_sample": DEFAULT_MAX_TOKENS
}
request_body.update(parameters)
elif provider == "ai21":
request_body = {
"prompt": prompt,
"maxTokens": DEFAULT_MAX_TOKENS
}
request_body.update(parameters)
elif provider == "amazon":
textGenerationConfig = {
"maxTokenCount": DEFAULT_MAX_TOKENS
}
textGenerationConfig.update(parameters)
request_body = {
"inputText": prompt,
"textGenerationConfig": textGenerationConfig
}
else:
raise Exception("Unsupported provider: ", provider)
return request_body
def get_generate_text(modelId, response):
provider = modelId.split(".")[0]
generated_text = None
if provider == "anthropic":
response_body = json.loads(response.get("body").read().decode())
generated_text = response_body.get("completion")
elif provider == "ai21":
response_body = json.loads(response.get("body").read())
generated_text = response_body.get("completions")[0].get("data").get("text")
elif provider == "amazon":
response_body = json.loads(response.get("body").read())
generated_text = response_body.get("results")[0].get("outputText")
else:
raise Exception("Unsupported provider: ", provider)
return generated_text
def call_llm(parameters, prompt):
modelId = parameters.pop("modelId")
body = get_request_body(modelId, parameters, prompt)
print("ModelId", modelId, "- Body: ", body)
client = boto3.client(service_name='bedrock-runtime', region_name=AWS_REGION, endpoint_url=ENDPOINT_URL)
response = client.invoke_model(body=json.dumps(body), modelId=modelId, accept='application/json', contentType='application/json')
generated_text = get_generate_text(modelId, response)
return generated_text
def lambda_handler(event, context):
print("Event: ", json.dumps(event))
global client
status = cfnresponse.SUCCESS
responseData = {}
reason = "Success"
modelId = ""
if event['RequestType'] != 'Delete':
prompt = "\n\nHuman: Why is the sky blue?\n\nAssistant:"
try:
# Test LLMModel
llmModelId = event['ResourceProperties'].get('LLMModelId', '')
modelId = llmModelId
parameters = {
"modelId": modelId,
"temperature": 0
}
print(f"Testing {modelId}")
call_llm(parameters, prompt)
except Exception as e:
status = cfnresponse.FAILED
reason = f"Exception thrown testing ModelId='{modelId}'. Check that Amazon Bedrock is available in your region, and that model is activated in your Amazon Bedrock account - {e}"
print(f"Status: {status}, Reason: {reason}")
cfnresponse.send(event, context, status, responseData, reason=reason)
TestGenAIQueryBedrockModelId:
Type: Custom::TestGenAIQueryBedrockModelId
Condition: ShouldTestGenAIQueryBedrockModelId
Properties:
ServiceToken: !GetAtt TestBedrockModelFunction.Arn
LLMModelId: !Ref GenAIQueryBedrockModelId
TestSummarizationBedrockModelId:
Type: Custom::SummarizationBedrockModelId
Condition: ShouldTestSummarizationBedrockModelId
Properties:
ServiceToken: !GetAtt TestBedrockModelFunction.Arn
LLMModelId: !Ref SummarizationBedrockModelId
LLMPromptConfigure:
Type: AWS::CloudFormation::Stack
Properties:
TemplateURL: pca-server/cfn/lib/llm.template
########################################################
# SSM Stack
########################################################
SSM:
Type: AWS::CloudFormation::Stack
DependsOn: LLMPromptConfigure
Properties:
TemplateURL: pca-ssm/cfn/ssm.template
Parameters:
BulkUploadBucketName:
!If
- ShouldCreateBulkUploadBucket
- !Ref BulkUploadBucket
- !Ref BulkUploadBucketName
BulkUploadMaxDripRate: !Ref BulkUploadMaxDripRate
BulkUploadMaxTranscribeJobs: !Ref BulkUploadMaxTranscribeJobs
ComprehendLanguages: !Ref ComprehendLanguages
ContentRedactionLanguages: !Ref ContentRedactionLanguages
ConversationLocation: !Ref ConversationLocation
EntityRecognizerEndpoint: !Ref EntityRecognizerEndpoint
EntityStringMap: !Ref EntityStringMap
EntityThreshold: !Ref EntityThreshold
EntityTypes: !Ref EntityTypes
InputBucketAudioPlayback: !Ref InputBucketAudioPlayback
InputBucketFailedTranscriptions: !Ref InputBucketFailedTranscriptions
InputBucketName:
!If
- ShouldCreateInputBucket
- !Ref InputBucket
- !Ref InputBucketName
InputBucketRawAudio: !Ref InputBucketRawAudio
InputBucketOrigTranscripts: !Ref InputBucketOrigTranscripts
MaxSpeakers: !Ref MaxSpeakers
MinSentimentNegative: !Ref MinSentimentNegative
MinSentimentPositive: !Ref MinSentimentPositive
OutputBucketName:
!If
- ShouldCreateOutputBucket
- !Ref OutputBucket
- !Ref OutputBucketName
OutputBucketTranscribeResults: !Ref OutputBucketTranscribeResults
OutputBucketParsedResults: !Ref OutputBucketParsedResults
SpeakerNames: !Ref SpeakerNames
SpeakerSeparationType: !Ref SpeakerSeparationType
StepFunctionName: !Ref StepFunctionName
BulkUploadStepFunctionName: !Ref BulkUploadStepFunctionName
SupportFilesBucketName:
!If
- ShouldCreateSupportFilesBucket
- !Ref SupportFilesBucket
- !Ref SupportFilesBucketName
TranscribeLanguages: !Ref TranscribeLanguages
TranscribeApiMode: !Ref TranscribeApiMode
TelephonyCTRType: !Ref TelephonyCTRType
TelephonyCTRFileSuffix: !Ref TelephonyCTRFileSuffix
CallRedactionTranscript: !Ref CallRedactionTranscript
CallRedactionAudio: !Ref CallRedactionAudio
VocabFilterName: !Ref VocabFilterName
VocabFilterMode: !Ref VocabFilterMode
VocabularyName: !Ref VocabularyName
CustomLangModelName: !Ref CustomLangModelName
FilenameDatetimeRegex: !Ref FilenameDatetimeRegex
FilenameDatetimeFieldMap: !Ref FilenameDatetimeFieldMap
FilenameGUIDRegex: !Ref FilenameGUIDRegex
FilenameAgentRegex: !Ref FilenameAgentRegex
FilenameCustRegex: !Ref FilenameCustRegex
KendraIndexId:
!If
- ShouldEnableKendraSearch
- 'None'
- 'None'
# WebUri: !GetAtt PCAUI.Outputs.WebUri
DatabaseName: !Ref DatabaseName
PythonUtilsLayer:
DependsOn: SSM
Type: AWS::CloudFormation::Stack
Properties:
TemplateURL: pca-server/cfn/lib/python-utilities.template
BedrockBoto3Layer:
Type: AWS::CloudFormation::Stack
Condition: ShouldDeployBedrockBoto3Layer
Properties:
TemplateURL: pca-boto3-bedrock/template.yaml
LLMThirdPartyApiKeySecret:
Condition: ShouldDeployLLMThirdPartyApiKey
Type: AWS::SecretsManager::Secret
Properties:
Description: API Key
Name: !Sub '${AWS::StackName}-ThirdPartyApiKey'
SecretString: !Ref SummarizationLLMThirdPartyApiKey
Metadata:
cfn_nag:
rules_to_suppress:
- id: W77
reason: No requirement for custom CMK, secret will not be shared cross-account.
PCAServer:
Type: AWS::CloudFormation::Stack
DependsOn: SSM
Properties:
TemplateURL: pca-server/cfn/pca-server.template
Parameters:
ffmpegDownloadUrl: !Ref ffmpegDownloadUrl
CallSummarization: !Ref CallSummarization
SummarizationBedrockModelId: !Ref SummarizationBedrockModelId
SummarizationSageMakerInitialInstanceCount: !Ref SummarizationSageMakerInitialInstanceCount
SummarizationLLMThirdPartyApiKey: !If
- ShouldDeployLLMThirdPartyApiKey
- !Ref LLMThirdPartyApiKeySecret
- ''
SummarizationLambdaFunctionArn: !Ref SummarizationLambdaFunctionArn
PyUtilsLayerArn: !GetAtt PythonUtilsLayer.Outputs.PyUtilsLayer
Boto3LayerArn: !If
- ShouldDeployBedrockBoto3Layer
- !GetAtt BedrockBoto3Layer.Outputs.Boto3Layer
- ''
LLMTableName: !GetAtt LLMPromptConfigure.Outputs.LLMTableName
PCAUI:
Type: AWS::CloudFormation::Stack
Properties:
TemplateURL: pca-ui/cfn/pca-ui.template
Parameters:
AdminUsername: !Ref AdminUsername
AdminEmail: !Ref AdminEmail
MainStackName: !Ref AWS::StackName
AudioBucket:
!If
- ShouldCreateInputBucket
- !Ref InputBucket
- !Ref InputBucketName
AudioBucketPrefix: !Ref InputBucketRawAudio
DataBucket:
!If
- ShouldCreateOutputBucket
- !Ref OutputBucket
- !Ref OutputBucketName
DataPrefix: !Ref OutputBucketParsedResults
Environment: !Ref Environment
GenAIQueryType: !Ref GenAIQuery
GenAIQueryBedrockModelId: !Ref GenAIQueryBedrockModelId
FetchTranscriptArn: !GetAtt PCAServer.Outputs.FetchTranscriptArn
SummarizerArn: !GetAtt PCAServer.Outputs.SummarizerArn
LLMThirdPartyApiKey: !If
- ShouldDeployLLMThirdPartyApiKey
- !Ref LLMThirdPartyApiKeySecret
- ''
PyUtilsLayerArn: !GetAtt PythonUtilsLayer.Outputs.PyUtilsLayer
Boto3LayerArn: !If
- ShouldDeployBedrockBoto3Layer
- !GetAtt BedrockBoto3Layer.Outputs.Boto3Layer
- ''
LLMTableName: !GetAtt LLMPromptConfigure.Outputs.LLMTableName
PcaDashboards:
Type: AWS::CloudFormation::Stack
Condition: ShouldDeployPcaDashboards
DependsOn: PCAServer
Properties:
TemplateURL: build/pca-dashboards.yaml
Parameters:
PcaGlueCatalogDatabaseName: !Ref DatabaseName
PcaOutputBucket:
!If
- ShouldCreateOutputBucket
- !Ref OutputBucket
- !Ref OutputBucketName
PcaWebAppCallPathPrefix: !Sub "dashboard/${OutputBucketParsedResults}/"
PcaWebAppHostAddress: !Select [1, !Split ["//", !GetAtt PCAUI.Outputs.WebUri]]
CopySamples:
Type: AWS::CloudFormation::Stack
Condition: ShouldLoadSampleFiles
Properties:
TemplateURL: pca-samples/copy-samples.template
Parameters:
DependsOnPCAServer: !Ref PCAServer
DependsOnPCAUI: !Ref PCAUI
DependsOnPCADashboards: !If
- ShouldDeployPcaDashboards
- !Ref PcaDashboards
- !Ref AWS::NoValue
# Custom resource to check that QuickSight has been enabled - if not, fail fast and prevent downstream failures
QuickSightEnabledCheckFunctionRole:
Type: "AWS::IAM::Role"
Condition: ShouldDeployPcaDashboards
Properties:
AssumeRolePolicyDocument:
Statement:
- Effect: Allow
Principal:
Service: lambda.amazonaws.com
Action:
- "sts:AssumeRole"
ManagedPolicyArns:
- "arn:aws:iam::aws:policy/service-role/AWSLambdaBasicExecutionRole"
Policies:
- PolicyName: s3-input-bucket-write-policy
PolicyDocument:
Statement:
Effect: Allow
Action:
- quicksight:ListDashboards
Resource: "*"
QuickSightEnabledCheckFunction:
Type: AWS::Lambda::Function
Condition: ShouldDeployPcaDashboards
Properties:
Handler: index.handler
Runtime: python3.11
Role: !GetAtt QuickSightEnabledCheckFunctionRole.Arn
Code:
ZipFile: !Sub |
import cfnresponse
import boto3
def handler(event, context):
print(event)
client = boto3.client('quicksight')
status = cfnresponse.SUCCESS
reason = f"QuickSight is enabled - OK"
if event['RequestType'] != "Delete":
try:
response = client.list_dashboards(
AwsAccountId='${AWS::AccountId}',
)
except Exception as e:
print(e)
status = cfnresponse.FAILED
reason = f"No Amazon QuickSight account. To deploy PCA with Dashboards enabled, you must first create an account in the Amazon QuickSight console => {e}"