diff --git a/lambda-durablefunction-typescript/FraudDetection-Agent/Dockerfile b/lambda-durablefunction-typescript/FraudDetection-Agent/Dockerfile new file mode 100644 index 000000000..e6bdb38de --- /dev/null +++ b/lambda-durablefunction-typescript/FraudDetection-Agent/Dockerfile @@ -0,0 +1,20 @@ +# USE UV'S ARM64 PYTHON BASE IMAGE +FROM --platform=linux/arm64 ghcr.io/astral-sh/uv:python3.11-bookworm-slim + +# SET WORKING DIRECTORY +WORKDIR /app + +# COPY UV FILES +COPY pyproject.toml uv.lock ./ + +# INSTALL DEPENDENCIES (INCLUDING STANDS AGENTS) +RUN uv sync --frozen --no-cache + +# COPY AGENT FILE +COPY agent.py ./ + +# EXPOSE PORT 8080 (REQUIRED BY AGENTCORE) +EXPOSE 8080 + +# RUN THE AGENT APP +CMD ["uv", "run", "uvicorn", "agent:app", "--host", "0.0.0.0", "--port", "8080"] \ No newline at end of file diff --git a/lambda-durablefunction-typescript/FraudDetection-Agent/agent.py b/lambda-durablefunction-typescript/FraudDetection-Agent/agent.py new file mode 100644 index 000000000..cc26b593f --- /dev/null +++ b/lambda-durablefunction-typescript/FraudDetection-Agent/agent.py @@ -0,0 +1,93 @@ +from fastapi import FastAPI, HTTPException +from pydantic import BaseModel +from typing import Dict, Any +from datetime import datetime +from strands import Agent +import random + +app = FastAPI(title="Fraud Detection Agent", version="1.0.0") + +# Initialize Strands agent +strands_agent = Agent() + +class InvocationRequest(BaseModel): + input: Dict[str, Any] + +class InvocationResponse(BaseModel): + output: Dict[str, Any] + + +""" +Fraud risk scoring agent + +Returns a risk score between 1-5 based on transaction amount: +- For amounts <= 10000: Returns 1-5 with weighted distribution (60% chance of 2) +- For amounts > 10000: Returns 3-5 only with weighted distribution + +Weighting: +- Score 2 appears ~60% of the time (when applicable) +- Score 3 appears ~25% of the time +- Other scores split the remaining probability +""" + +@app.post("/invocations", response_model=InvocationResponse) +async def invoke_agent(request: InvocationRequest): + try: + # RETRIENVE THE FULL JSON INPUT OBJECT AS A DICT + input_data = request.input + amount = input_data.get("amount", "") + if not amount: + raise HTTPException(status_code=400, detail="Amount not provided, please provide the 'amount' in USD") + + #IF WE WANTED TO SEND TO THE AGENT, WE WOULD INVOKE THE STRANDS_AGENT. FOR SIMPLCITY, WE'RE JUST USING RULE-BASED SCORING + #result = strands_agent(amount) + + # Determine risk score based on amount + if amount < 1000: + # Low amount: auto-approve (score 1-2) + risk_score = random.choices( + population=[1, 2], + weights=[60, 40], + k=1 + )[0] + elif amount >= 10000: + # Very high amount: always send to fraud (score 5) + risk_score = 5 + elif amount == 6500: + # Specific test case: medium risk requiring human verification + risk_score = 3 + elif amount >= 5000: + # High amount: return 3-5 + # Weight: 3 (~50%), 4 (~30%), 5 (~20%) + risk_score = random.choices( + population=[3, 4, 5], + weights=[50, 30, 20], + k=1 + )[0] + else: + # Normal amount (1000-4999): return 1-4 + # Weight: 2 (~50%), 3 (~30%), 1 (~15%), 4 (~5%) + risk_score = random.choices( + population=[1, 2, 3, 4], + weights=[15, 50, 30, 5], + k=1 + )[0] + + # Return response + response = { + 'risk_score': risk_score, + 'amount': amount + } + + return InvocationResponse(output=response) + + except Exception as e: + raise HTTPException(status_code=500, detail=f"Agent processing failed: {str(e)}") + +@app.get("/ping") +async def ping(): + return {"status": "Fraud agent is running and healthy. To use, invoke with {amount:x.xx}"} + +if __name__ == "__main__": + import uvicorn + uvicorn.run(app, host="0.0.0.0", port=8080) \ No newline at end of file diff --git a/lambda-durablefunction-typescript/FraudDetection-Agent/deploy.sh b/lambda-durablefunction-typescript/FraudDetection-Agent/deploy.sh new file mode 100755 index 000000000..6a76fcad4 --- /dev/null +++ b/lambda-durablefunction-typescript/FraudDetection-Agent/deploy.sh @@ -0,0 +1,379 @@ +#!/bin/bash + +# DEPLOY FRAUD DETECTION AGENT TO AWS BEDROCK AGENTCORE + +set -e + +# DECLARE VARIABLES +AGENT_RUNTIME_NAME="fraud_risk_scorer" # Must match pattern: [a-zA-Z][a-zA-Z0-9_]{0,47} +REGION="us-east-1" # bedrock-agentcore-control is available in us-east-1 +RUNTIME="python3.11" +ROLE_NAME="bedrock-agentcore-runtime-fraud-role" +ECR_REPO_NAME="fraud-risk-scorer" + + +########################################################################################################### +########################## DO NOT MODIFY THE SCRIPT BEYOND HERE ####################### +########################################################################################################### + + + +echo "๐Ÿค– Deploying $AGENT_RUNTIME_NAME Agent to AWS Bedrock AgentCore" +echo "================================================================" +echo "" + +# GET AWS ACCOUNT ID +ACCOUNT_ID=$(aws sts get-caller-identity --query Account --output text) +echo "๐Ÿ“‹ Account ID: $ACCOUNT_ID" +echo "๐Ÿ“‹ Region: $REGION" +echo "" + +# CREATE ECR REPOSITORY IF IT DOESN'T EXIST +echo "๐Ÿณ Checking ECR repository..." +if ! aws ecr describe-repositories --repository-names $ECR_REPO_NAME --region $REGION >/dev/null 2>&1; then + echo "๐Ÿ“ Creating ECR repository: $ECR_REPO_NAME" + aws ecr create-repository \ + --repository-name $ECR_REPO_NAME \ + --region $REGION >/dev/null + echo "โœ… ECR repository created" +else + echo "โœ… ECR repository exists" +fi + +ECR_URI="$ACCOUNT_ID.dkr.ecr.$REGION.amazonaws.com/$ECR_REPO_NAME" +echo "๐Ÿ“‹ ECR URI: $ECR_URI" +echo "" + +# BUILD DOCKER IMAGE +echo "๐Ÿ“ฆ Building Docker image..." + +# CHECK FOR DOCKERFILE +if [ ! -f Dockerfile ]; then + echo " Dockerfile does not exist. Please ensure the Dockerfile exists and try again." + exit 1 +fi + +# LOGIN TO ECR +echo "๐Ÿ” Logging in to ECR..." +aws ecr get-login-password --region $REGION | docker login --username AWS --password-stdin $ECR_URI +echo "โœ… Logged in to ECR" +echo "" + +# BUILD AND PUSH IMAGE +echo "๐Ÿท๏ธ Tagging and pushing image..." +docker buildx create --use +docker buildx build --platform linux/arm64 -t $ECR_URI:latest --push . +echo "โœ… Docker image built and pushed to ECR" +echo "" + + +# CREATE/CHECK IAM ROLE FOR AGENTCORE RUNTIME +echo "๐Ÿ” Checking IAM role for AgentCore Runtime..." +ROLE_ARN="arn:aws:iam::$ACCOUNT_ID:role/$ROLE_NAME" + +if ! aws iam get-role --role-name $ROLE_NAME >/dev/null 2>&1; then + echo "๐Ÿ“ Creating IAM role: $ROLE_NAME" + + # CREATE THE ROLE + aws iam create-role \ + --role-name $ROLE_NAME \ + --assume-role-policy-document '{ + "Version": "2012-10-17", + "Statement": [ + { + "Sid": "AssumeRolePolicy", + "Effect": "Allow", + "Principal": { + "Service": [ + "bedrock-agentcore.amazonaws.com" + ] + }, + "Action": "sts:AssumeRole", + "Condition": { + "StringEquals": { + "aws:SourceAccount": '"$ACCOUNT_ID"' + }, + "ArnLike": { + "aws:SourceArn": "arn:aws:bedrock-agentcore:'"$REGION"':'"$ACCOUNT_ID"':*" + } + } + } + ] + }' >/dev/null + + sleep 3 + + # ATTACH POLICIES + aws iam attach-role-policy \ + --role-name $ROLE_NAME \ + --policy-arn arn:aws:iam::aws:policy/AmazonEC2ContainerRegistryReadOnly + + # ADD INLINE POLICY FOR ECS TASK EXECUTION AND CLOUDWATCH LOGS + aws iam put-role-policy \ + --role-name $ROLE_NAME \ + --policy-name AgentCoreRuntimePolicy \ + --policy-document '{ + "Version": "2012-10-17", + "Statement": [ + { + "Sid": "BedrockModelInvocation", + "Effect": "Allow", + "Action": [ + "bedrock:InvokeModel", + "bedrock:InvokeModelWithResponseStream" + ], + "Resource": [ + "arn:aws:bedrock:*::foundation-model/*", + "arn:aws:bedrock:'"$REGION"':'"$ACCOUNT_ID"':*" + ] + }, + { + "Sid": "GetAgentAccessToken", + "Effect": "Allow", + "Action": [ + "bedrock-agentcore:GetWorkloadAccessToken", + "bedrock-agentcore:GetWorkloadAccessTokenForJWT", + "bedrock-agentcore:GetWorkloadAccessTokenForUserId" + ], + "Resource": [ + "arn:aws:bedrock-agentcore:'"$REGION"':'"$ACCOUNT_ID"':workload-identity-directory/default", + "arn:aws:bedrock-agentcore:'"$REGION"':'"$ACCOUNT_ID"':workload-identity-directory/default/workload-identity/agentName-*" + ] + }, + { + "Sid" : "ECRToken", + "Effect": "Allow", + "Action": [ + "ecr:BatchGetImage", + "ecr:GetDownloadUrlForLayer" + ], + "Resource": ["arn:aws:ecr:'"$REGION"':'"$ACCOUNT_ID"':repository/*"] + }, + { + "Sid" : "ECRImageAccess", + "Effect": "Allow", + "Action": [ + "ecr:GetAuthorizationToken" + ], + "Resource": ["*"] + }, + { + "Sid" : "CreateCloudWatchLogGroup", + "Effect": "Allow", + "Action": [ + "logs:CreateLogGroup", + "logs:DescribeLogStreams" + ], + "Resource": ["arn:aws:logs:'"$REGION"':'"$ACCOUNT_ID"':log-group:/aws/bedrock-agentcore/runtimes/*"] + }, + { + "Sid" : "ViewCloudWatchLogGroup", + "Effect": "Allow", + "Action": ["logs:DescribeLogGroups"], + "Resource": "arn:aws:logs:'"$REGION"':'"$ACCOUNT_ID"':log-group:*" + }, + + { + "Sid" : "CreateCloudWatchLogs", + "Effect": "Allow", + "Action": [ + "logs:CreateLogStream", + "logs:PutLogEvents" + ], + "Resource": ["arn:aws:logs:'"$REGION"':'"$ACCOUNT_ID"':log-group:/aws/bedrock-agentcore/runtimes/*:log-stream:*"] + }, + { + "Sid" : "XrayObservability", + "Effect": "Allow", + "Action": [ + "xray:PutTraceSegments", + "xray:PutTelemetryRecords", + "xray:GetSamplingRules", + "xray:GetSamplingTargets" + ], + "Resource": ["*"] + }, + { + "Sid" : "PutCloudWatchMetrics", + "Effect": "Allow", + "Action": [ + "cloudwatch:PutMetricData" + ], + "Resource": ["*"], + "Condition": { + "StringEquals": { + "cloudwatch:namespace": "bedrock-agentcore" + } + } + } + ] + }' + + echo "โœ… IAM role created" + echo "โณ Waiting 5 seconds for IAM role to propagate..." + sleep 5 +else + echo "โœ… Role exists: $ROLE_NAME" +fi +echo "" + +# ๐Ÿš€ CREATE/UPDATE AGENT RUNTIME +echo "๐Ÿš€ Deploying AgentCore Runtime..." + +# CHECK IF AGENT RUNTIME EXISTS BY LISTING ALL RUNTIMES +RUNTIME_EXISTS=false +AGENT_RUNTIME_ID="" + +# LIST RUNTIMES AND FIND OURS BY NAME +RUNTIME_LIST=$(aws bedrock-agentcore-control list-agent-runtimes \ + --region $REGION \ + --output json 2>/dev/null || echo '{"agentRuntimes":[]}') + +RUNTIME_INFO=$(echo "$RUNTIME_LIST" | jq -r ".agentRuntimes[] | select(.agentRuntimeName==\"$AGENT_RUNTIME_NAME\")") +AGENT_RUNTIME_ID=$(echo "$RUNTIME_INFO" | jq -r '.agentRuntimeId // empty') + +if [ -n "$AGENT_RUNTIME_ID" ]; then + RUNTIME_EXISTS=true + echo "๐Ÿ”„ Agent runtime exists (ID: $AGENT_RUNTIME_ID), updating..." +else + echo "๐Ÿ“ Creating new agent runtime..." +fi + +if [ "$RUNTIME_EXISTS" = true ]; then + # UPDATE EXISTING RUNTIME + aws bedrock-agentcore-control update-agent-runtime \ + --agent-runtime-id $AGENT_RUNTIME_ID \ + --agent-runtime-artifact "containerConfiguration={containerUri=$ECR_URI:latest}" \ + --role-arn $ROLE_ARN \ + --network-configuration "networkMode=PUBLIC" \ + --description "Fraud risk scoring agent runtime" \ + --region $REGION >/dev/null + + echo "โœ… Agent runtime updated successfully!" +else + # CREATE NEW RUNTIME + RUNTIME_RESPONSE=$(aws bedrock-agentcore-control create-agent-runtime \ + --agent-runtime-name $AGENT_RUNTIME_NAME \ + --agent-runtime-artifact "containerConfiguration={containerUri=$ECR_URI:latest}" \ + --role-arn $ROLE_ARN \ + --network-configuration "networkMode=PUBLIC" \ + --description "Fraud risk scoring agent runtime" \ + --region $REGION \ + --output json) + + AGENT_RUNTIME_ID=$(echo "$RUNTIME_RESPONSE" | jq -r '.agentRuntimeId') + echo "โœ… Agent runtime created with ID: $AGENT_RUNTIME_ID" +fi + +echo "" + +# WAIT FOR DEFAULT ENDPOINT TO BECOME AVAILABLE +echo "โณ Waiting for DEFAULT endpoint to become available..." +echo " (This can take up to 2 minutes)" + +MAX_WAIT_TIME=120 # 2 minutes +WAIT_INTERVAL=10 # 10 seconds +ELAPSED_TIME=0 +ENDPOINT_FOUND=false + +# INITIAL WAIT AFTER AGENT CREATION +sleep 10 +ELAPSED_TIME=10 + +while [ $ELAPSED_TIME -le $MAX_WAIT_TIME ]; do + echo " Checking for endpoint... (${ELAPSED_TIME}s elapsed)" + + # GET ENDPOINT DETAILS + ENDPOINT_INFO=$(aws bedrock-agentcore-control list-agent-runtime-endpoints \ + --agent-runtime-id $AGENT_RUNTIME_ID \ + --region $REGION \ + --output json 2>/dev/null || echo '{"runtimeEndpoints":[]}') + + # CHECK FOR DEFAULT ENDPOINT + DEFAULT_ENDPOINT=$(echo "$ENDPOINT_INFO" | jq -r '.runtimeEndpoints[] | select(.name=="DEFAULT")') + + if [ -n "$DEFAULT_ENDPOINT" ]; then + ENDPOINT_STATUS=$(echo "$DEFAULT_ENDPOINT" | jq -r '.status // empty') + + if [ "$ENDPOINT_STATUS" = "READY" ]; then + echo "โœ… DEFAULT endpoint is READY!" + ENDPOINT_FOUND=true + ENDPOINT_DATA="$DEFAULT_ENDPOINT" + ENDPOINT_ARN=$(echo "$ENDPOINT_DATA" | jq -r '.agentRuntimeEndpointArn // empty') + ENDPOINT_ID=$(echo "$ENDPOINT_DATA" | jq -r '.id // empty') + break + else + echo " DEFAULT endpoint found but status is: $ENDPOINT_STATUS" + fi + fi + + # WAIT BEFORE NEXT CHECK + if [ $ELAPSED_TIME -lt $MAX_WAIT_TIME ]; then + sleep $WAIT_INTERVAL + ELAPSED_TIME=$((ELAPSED_TIME + WAIT_INTERVAL)) + else + break + fi +done + +if [ "$ENDPOINT_FOUND" = false ]; then + echo "โš ๏ธ DEFAULT endpoint not ready after ${MAX_WAIT_TIME}s" + echo " You may need to wait longer and check manually:" + echo " aws bedrock-agentcore-control list-agent-runtime-endpoints \\" + echo " --agent-runtime-id $AGENT_RUNTIME_ID \\" + echo " --region $REGION" +fi + + +echo "" +echo "โœ… Deployment complete!" +echo "" +echo "๐Ÿ“‹ Agent Runtime Details:" +echo " Name: $AGENT_RUNTIME_NAME" +echo " ID: $AGENT_RUNTIME_ID" +echo " Region: $REGION" +echo " Container: $ECR_URI:latest" +echo "" + +# GET RUNTIME ARN +RUNTIME_ARN=$(echo "$ENDPOINT_DATA" | jq -r '.agentRuntimeArn // empty') + +echo "" +echo "๐Ÿงช To test the agent:" +if [ -n "$RUNTIME_ARN" ]; then + # CREATE TEST PAYLOAD FILE + echo '{"amount": 5000}' > test-payload.json + echo " # Test payload created in test-payload.json" + echo "" + echo " # Option 1: Using file (recommended):" + echo " aws bedrock-agentcore invoke-agent-runtime \\" + echo " --agent-runtime-arn $RUNTIME_ARN \\" + echo " --qualifier $ENDPOINT_ID \\" + echo " --payload fileb://test-payload.json \\" + echo " --content-type application/json \\" + echo " --accept application/json \\" + echo " --region $REGION \\" + echo " response.json" + echo "" + echo " # Option 2: Direct with base64 encoding:" + echo " aws bedrock-agentcore invoke-agent-runtime \\" + echo " --agent-runtime-arn $RUNTIME_ARN \\" + echo " --qualifier $ENDPOINT_ID \\" + echo " --payload \"\$(echo -n '{\"input\":{\"amount\": 5000}}' | base64)\" \\" + echo " --content-type application/json \\" + echo " --accept application/json \\" + echo " --region $REGION \\" + echo " response.json" + echo "" + echo " # Then view the response:" + echo " cat response.json" +else + echo " # Endpoint not fully configured - check endpoint status" + echo " aws bedrock-agentcore-control list-agent-runtime-endpoints \\" + echo " --agent-runtime-id $AGENT_RUNTIME_ID \\" + echo " --region $REGION" +fi +echo "" +# OUTPUT RUNTIME ARN FOR PARENT SCRIPT TO CAPTURE +echo "AGENT_RUNTIME_ARN=$RUNTIME_ARN" +echo "AGENT_REGION=$REGION" \ No newline at end of file diff --git a/lambda-durablefunction-typescript/FraudDetection-Agent/pyproject.toml b/lambda-durablefunction-typescript/FraudDetection-Agent/pyproject.toml new file mode 100644 index 000000000..64f3aafa4 --- /dev/null +++ b/lambda-durablefunction-typescript/FraudDetection-Agent/pyproject.toml @@ -0,0 +1,13 @@ +[project] +name = "FraudDetectionAgent" +version = "1.0.0" +description = "Add your description here" +readme = "README.md" +requires-python = ">=3.11" +dependencies = [ + "fastapi>=0.121.2", + "httpx>=0.28.1", + "pydantic>=2.12.4", + "strands-agents>=1.16.0", + "uvicorn[standard]>=0.38.0", +] diff --git a/lambda-durablefunction-typescript/FraudDetection-Agent/test-payload.json b/lambda-durablefunction-typescript/FraudDetection-Agent/test-payload.json new file mode 100644 index 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b/lambda-durablefunction-typescript/FraudDetection-Lambda/package.json new file mode 100644 index 000000000..9ff9f7b80 --- /dev/null +++ b/lambda-durablefunction-typescript/FraudDetection-Lambda/package.json @@ -0,0 +1,28 @@ +{ + "name": "fraud-detection", + "version": "1.0.0", + "main": "src/index.ts", + "scripts": { + "build": "npm install && tsc", + "clean": "rm -rf dist && rm -f FraudDetection.zip && rm -rf node_modules", + "prebuild": "npm run clean", + "test": "jest", + "zip": "zip -r FraudDetection.zip node_modules/ && zip -j FraudDetection.zip dist/*", + "deploy": "aws durable-lambda create-function --function-name fn_FraudDetection --runtime nodejs22.x --role $ROLE_ARN --handler index.handler --code S3Bucket=jlosaws-lambda-packages,S3Key=FraudDetection.zip --memory-size 128 --durable-config '{'ExecutionTimeout':600,'RetentionPeriodInDays':7}' " + }, + "keywords": [], + "author": "AWS", + "license": "ISC", + "devDependencies": { + "@types/jest": "^29.5.14", + "@types/node": "^24.3.1", + "jest": "30.1.3", + "ts-jest": "^29.2.5", + "typescript": "^5.9.2" + }, + "dependencies": { + "@aws/durable-execution-sdk-js": "^1.0.0", + "@aws-sdk/client-bedrock-agentcore": "^3.935.0" + }, + "description": "" +} diff --git a/lambda-durablefunction-typescript/FraudDetection-Lambda/src/index.ts b/lambda-durablefunction-typescript/FraudDetection-Lambda/src/index.ts new file mode 100644 index 000000000..f0a55c44a --- /dev/null +++ b/lambda-durablefunction-typescript/FraudDetection-Lambda/src/index.ts @@ -0,0 +1,202 @@ +import { withDurableExecution, DurableContext } from "@aws/durable-execution-sdk-js"; +import { BedrockAgentCoreClient, InvokeAgentRuntimeCommand } from "@aws-sdk/client-bedrock-agentcore"; + +const agentRuntimeArn = process.env.AGENT_RUNTIME_ARN; +const agentRegion = process.env.AGENT_REGION || 'us-east-1'; + +interface transaction { + id: number; + amount: number; + location: string; + vendor: string; + score?: number; +} + +interface TransactionResult { + statusCode: number; + body: { + transaction_id: number; + amount: number; + fraud_score?: number; + result?: string; + customerVerificationResult?: string; + }; + +} + +class fraudTransaction implements transaction { + + constructor( + public id: number, + public amount: number, + public location: string, + public vendor: string, + public score: number = 0 + ){} + + async authorize(tx: fraudTransaction, cusRejection: boolean = false): Promise { + //IMPLEMENT LOGIC TO AUTHORIZE TRANSCATION + console.log(`Authorizing transactionId: ${tx.id}`) + + let result: TransactionResult = { + statusCode: 200, + body: { + transaction_id: tx.id, + amount: tx.amount, + fraud_score: tx.score, + result: 'authorized' + } + }; + + //IF AUTHORIZATION CAME FROM CUSTOMER, INDICATE IN RESPONSE + if (cusRejection){result.body.customerVerificationResult = 'TransactionApproved'}; + + return result; + } + + async suspend(tx: fraudTransaction): Promise { + //IMPLEMENT LOGIC TO SUSPEND TRANSCATION + console.log(`Suspending transactionId: ${tx.id}`) + return true; + } + + async sendToFraud(tx: fraudTransaction, cusRejection: boolean = false): Promise { + //IMPLEMENT LOGIC TO SEND TO FRAUD DEPARTMENT + console.log(`Escalating to fraud department - transactionId: ${tx.id}`) + + let result: TransactionResult = { + statusCode: 200, + body: { + transaction_id: tx.id, + amount: tx.amount, + fraud_score: tx.score, + result: 'SentToFraudDept' + } + }; + + //IF DECLINE CAME FROM CUSTOMER, INDICATE IN RESPONSE + if (cusRejection){result.body.customerVerificationResult = 'TransactionDeclined'}; + + return result; + } + + async sendCustomerNotification(callbackId: string, type: string, tx: fraudTransaction): Promise { + //IMPLEMENT LOGIC TO SEND CUSTOMER NOTIFICATION + if(type === 'email'){ + console.log(`Email Notification with callbackId: ${callbackId}`); + } else{ + console.log(`SMS Notification with callbackId: ${callbackId}`); + }; + } +} + + + +export const handler = withDurableExecution(async (event: transaction, context: DurableContext) => { + + // Extract transaction information + const tx = new fraudTransaction(event.id, event.amount, event.location, event.vendor, event?.score ?? 0) + + + // Step 1: Check Transaction Fraud Score by invoking the Agent + tx.score = await context.step("fraudCheck", async () => { + + if (tx.score === 0){ + console.log("No score submitted, sending to Fraud Agent for assessment"); + if (!agentRuntimeArn) { + throw new Error('AGENT_RUNTIME_ARN environment variable is not set'); + } + + const client = new BedrockAgentCoreClient({ region: agentRegion }); + + // Prepare the payload for AgentCore + const payloadJson = JSON.stringify({ input: { amount: tx.amount } }); + + // Invoke the agent - payload should be Buffer or Uint8Array + const command = new InvokeAgentRuntimeCommand({ + agentRuntimeArn: agentRuntimeArn, + qualifier: 'DEFAULT', + payload: Buffer.from(payloadJson, 'utf-8'), + contentType: 'application/json', + accept: 'application/json' + }); + + const response = await client.send(command); + + // Parse the streaming response from AgentCore + // Use the SDK's helper method to transform the stream to string + if (response.response) { + const responseText = await response.response.transformToString(); + const result = JSON.parse(responseText); + console.log(result); + // Extract risk_score from the agent's output + if (result.output && result.output.risk_score !== undefined) { + return result.output.risk_score; + } + } + + // IF NO VALID RESPONSE FROM AGENT, SEND TO FRAUD + console.log("No valid response from agent, sending to Fraud department for manual review.") + return 5; + }else{ + return tx.score; + } + }); + +console.log("Transaction Score = " + tx.score.toString()); + + //Low Risk, Authorize Transaction + if (tx.score < 3) return context.step("Authorize", async() => await tx.authorize(tx)); + if (tx.score >= 5) return context.step("sendToFraud", async() => await tx.sendToFraud(tx)); //High Risk, Send to Fraud Department + + //Potential Fraud Detected + if (tx.score > 2 && tx.score < 5){ + + //Step 2: Suspend the transaction + const tx_suspended = await context.step("suspendTransaction", async () => await tx.suspend(tx)); + + //Step 3: Ask cardholder to authorize transaction + const verified = await context.parallel("human-verification", [ + // Push verification with callback + (ctx: DurableContext) => ctx.waitForCallback("SendVerificationEmail", async (callbackId: string) => { + await tx.sendCustomerNotification(callbackId, 'email', tx); + }, { timeout: { days: 1 } }), + // SMS verification with callback + (ctx: DurableContext) => ctx.waitForCallback("SendVerificationSMS", async (callbackId: string) => { + await tx.sendCustomerNotification(callbackId, 'sms', tx); + }, { timeout: { days: 1 } }) + ], + { + maxConcurrency: 2, + completionConfig: { + minSuccessful: 1, // Continue after cardholder verifies (email or sms) + toleratedFailureCount: 0 // Fail immediately if any callback fails + } + } + ); + + //Step 4: Authorize Transaction or Send to Fraud Department + const result = await context.step("advanceTransaction", async () => { + // Check if verification succeeded (at least one callback succeeded) + // Use hasFailure to check if any verification failed + if(!verified.hasFailure && verified.successCount > 0){ + return await tx.authorize(tx, true); + }else{ + // Verification failed or was rejected - send to fraud department + return await tx.sendToFraud(tx, true); + } + }) + + return result; + } + + return { + statusCode: 400, + body: { + transaction_id: tx.id, + amount: tx.amount, + fraud_score: tx.score, + result: 'Unknown' + } + };; +}); \ No newline at end of file diff --git a/lambda-durablefunction-typescript/FraudDetection-Lambda/tsconfig.json b/lambda-durablefunction-typescript/FraudDetection-Lambda/tsconfig.json new file mode 100644 index 000000000..58b643398 --- /dev/null +++ b/lambda-durablefunction-typescript/FraudDetection-Lambda/tsconfig.json @@ -0,0 +1,18 @@ +{ + "compilerOptions": { + "target": "es2021", + "module": "nodenext", + "lib": ["es2021"], + "types": ["node"], + "strict": true, + "moduleResolution": "nodenext", + "esModuleInterop": true, + "skipLibCheck": true, + "resolveJsonModule": true, + "forceConsistentCasingInFileNames": true, + "outDir": "./dist", + "rootDir": "./src" + }, + "include": ["src/**/*"], + "exclude": ["node_modules"] +} \ No newline at end of file diff --git a/lambda-durablefunction-typescript/README.md b/lambda-durablefunction-typescript/README.md new file mode 100644 index 000000000..2f128a1bb --- /dev/null +++ b/lambda-durablefunction-typescript/README.md @@ -0,0 +1,429 @@ +# AWS Durable Functions - Fraud Detection Demo + +This project demonstrates AWS Lambda Durable Functions integrated with AWS Bedrock AgentCore for intelligent fraud detection. It showcases a multi-step, stateful workflow that can run for extended periods (up to one year) with automatic state persistence, human-in-the-loop verification, and AI-powered risk scoring. + +## Overview + +The fraud detection workflow: +1. **Risk Assessment**: Invokes a Bedrock AgentCore agent to analyze transaction amounts and assign risk scores (1-5) +2. **Automated Decisions**: + - Low risk (score < 3): Auto-authorize + - High risk (score โ‰ฅ 5): Escalate to fraud department +3. **Human Verification**: Medium risk (score 3-4) triggers parallel email/SMS verification callbacks +4. **Durable State**: All progress is checkpointed, allowing the function to suspend and resume without losing state + +## Architecture + +``` +Transaction โ†’ Durable Lambda โ†’ Bedrock AgentCore Agent โ†’ Risk Score + โ†“ + Score < 3: Authorize + Score 3-4: Human Verification (Email/SMS Callbacks) + Score โ‰ฅ 5: Send to Fraud Department +``` + +## Shell Compatibility + +โš ๏ธ **Important**: All scripts in this project are written for **Bash** and may not work with other shells (zsh, fish, etc.). + +If you're on macOS Catalina or later (which defaults to zsh), you can: +- Run scripts with `bash ./script.sh` explicitly +- Or temporarily switch to bash: `bash` then run scripts normally + +## Requirements + +Ensure you have the following installed and configured: + +### 1. Python 3.11+ +```bash +# Check if installed +python3 --version + +# Install on macOS +brew install python@3.11 + +# Install on Ubuntu/Debian +sudo apt update && sudo apt install python3.11 +``` + +### 2. AWS CLI (configured with credentials) +```bash +# Check if installed +aws --version + +# Install on macOS +brew install awscli + +# Install on Linux +curl "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip" +unzip awscliv2.zip +sudo ./aws/install + +# Configure with your credentials +aws configure +``` + +### 3. UV Package Manager (Python package manager) +```bash +# Check if installed +uv --version + +# Install +curl -LsSf https://astral.sh/uv/install.sh | sh + +# Add to PATH (add to ~/.bashrc or ~/.zshrc) +export PATH="$HOME/.local/bin:$PATH" +``` + +### 4. Docker Desktop (required for building ARM64 container images) +```bash +# Check if installed +docker --version + +# Install on macOS +brew install --cask docker + +# Install on Linux +curl -fsSL https://get.docker.com -o get-docker.sh +sudo sh get-docker.sh + +# Start Docker and verify +docker run hello-world +``` + +### 5. Node.js 24.x (for Lambda function) +```bash +# Check if installed +node --version + +# Install on macOS +brew install node@24 + +# Install on Linux (using nvm) +curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.39.0/install.sh | bash +nvm install 24 +``` + +### 6. jq (JSON processor for CLI output) +```bash +# Check if installed +jq --version + +# Install on macOS +brew install jq + +# Install on Ubuntu/Debian +sudo apt install jq +``` + +## Deployment + +### Step 1: Deploy the Complete Stack + +The main deployment script handles both the Bedrock AgentCore agent and the Lambda durable function: + +```bash +# Make script executable +chmod +x deploy.sh + +# Deploy everything (agent + Lambda function) +./deploy.sh +``` + +This script will: +1. Deploy the Bedrock AgentCore fraud detection agent (containerized FastAPI app) +2. Wait for the agent runtime to be ready +3. Build and package the Lambda function with dependencies +4. Create/update IAM roles with necessary permissions +5. Deploy the durable Lambda function +6. Publish a new version + +**Note**: First deployment takes ~5-10 minutes due to Docker image building and ECR push. + +### Step 2: Verify Deployment + +Check that both components are deployed: + +```bash +# Check agent runtime status, update with the region you deployed to +aws bedrock-agentcore list-runtimes --region us-east-1 + +# Check Lambda function, update with the region you deployed to +aws lambda get-function \ + --function-name fn-Fraud-Detection \ + --region us-east-2 +``` + +## Usage + +### Invoking the Fraud Detection Function + +Use the interactive invoke script to test transactions: + +```bash +# Make script executable +chmod +x invoke-function.sh + +# Run the script +./invoke-function.sh +``` + +The script will prompt you for: +- **Transaction ID** (default: current timestamp) +- **Amount** (default: $5000.00) - This determines the risk score +- **Location** (default: "New York") +- **Vendor** (default: "Amazon") +- **Initial Score** (default: 0) - Set to 0 to use the Bedrock Agent, or 1-5 to override + +**Risk Score Behavior**: +- Amounts < $1,000: Agent returns scores 1-2 (auto-approved) +- Amounts $1,000-$4,999: Agent returns scores 1-4 (weighted toward lower scores) +- Amounts $5,000-$9,999: Agent returns scores 3-5 (higher risk, weighted toward lower scores) +- Amount = $6500: Agent returns 3 (forces human-in-the-loop) +- Amounts >= $10,000: Agent returns scores 5 (Send to Fraud) + +### Example Invocations + +**Low Risk Transaction (Auto-Approve)**: +```bash +./invoke-function.sh +# Enter amount: 500 +# Result: Automatically authorized (score < 3) +``` + +**High Risk Transaction (Auto-Reject)**: +```bash +./invoke-function.sh +# Enter amount: 10000 +# Result: Sent to fraud department (score 5) +``` + +**Medium Risk Transaction (Human Verification)**: +```bash +./invoke-function.sh +# Enter amount: 6500 +# Result: Triggers email/SMS verification callbacks (score 3) +``` + +### Handling Human-in-the-Loop Callbacks + +When a transaction requires human verification (risk score 3-4), the function will: +1. Suspend the transaction +2. Generate two callback IDs (one for email, one for SMS) +3. Wait for user response via callback + +**Retrieve Callback IDs**: + +Option 1 - From CloudWatch Logs: +```bash +aws logs tail /aws/lambda/fn-Fraud-Detection \ + --region eu-south-1 \ + --follow +``` + +Option 2 - From Execution History: +```bash +aws lambda get-durable-execution-history \ + --durable-execution-arn \ + --region us-east-2 \ + --include-execution-data +``` + +**Send Callback Response**: + +```bash +# Make script executable +chmod +x send-callback.sh + +# Run the callback script +./send-callback.sh +``` + +The script will prompt you for: +1. **Callback ID** (from logs or execution history) +2. **Response Type**: + - `1` = Success (approve transaction) + - `2` = Failure (reject transaction) + +**Callback Behavior**: +- If **either** email or SMS is approved โ†’ Transaction is authorized +- If **any** callback fails/rejects โ†’ Transaction is sent to fraud department +- The parallel execution uses `toleratedFailureCount: 0`, so any failure immediately escalates + +## Project Structure + +``` +DFNs/ +โ”œโ”€โ”€ deploy.sh # Main deployment script +โ”œโ”€โ”€ invoke-function.sh # Interactive function invocation +โ”œโ”€โ”€ send-callback.sh # Send callback responses +โ”œโ”€โ”€ service.json # AWS CLI durable-lambda service model +โ”œโ”€โ”€ README.md # This file +โ”‚ +โ”œโ”€โ”€ FraudDetection-Agent/ # Bedrock AgentCore Agent +โ”‚ โ”œโ”€โ”€ agent.py # FastAPI fraud detection agent +โ”‚ โ”œโ”€โ”€ Dockerfile # Container definition (ARM64) +โ”‚ โ”œโ”€โ”€ deploy.sh # Agent deployment script +โ”‚ โ”œโ”€โ”€ pyproject.toml # Python dependencies +โ”‚ โ””โ”€โ”€ uv.lock # Package lock file +โ”‚ +โ””โ”€โ”€ FraudDetection-Lambda/ # Durable Lambda Function + โ”œโ”€โ”€ src/ + โ”‚ โ””โ”€โ”€ index.ts # Main Lambda handler + โ”œโ”€โ”€ dist/ + โ”‚ โ””โ”€โ”€ index.js # Node Coverted Lambda handler (created after deployment) + โ”œโ”€โ”€ package.json # Node.js dependencies + โ”œโ”€โ”€ function.zip # Zip file for Lambda (created after deployment) + โ”œโ”€โ”€ layer.zip # Zip file for Lambda Layer (created after deployment) + โ””โ”€โ”€ tsconfig.json # TypeScript configuration +``` + +## Key Features Demonstrated + +### 1. Durable Execution +- **State Persistence**: Function state is automatically checkpointed at each step +- **Automatic Recovery**: If the function fails, it resumes from the last checkpoint +- **Long-Running**: Can execute for up to one year (async invocations) + +### 2. Bedrock AgentCore Integration +- **AI-Powered Scoring**: Uses containerized agent for fraud risk assessment +- **Streaming Responses**: Properly handles AgentCore's streaming HTTP responses +- **Dynamic Invocation**: Agent is called only when needed (score = 0) + +**Note**: No LLM is actually used by the Agent. It is using random numbers weighted based on the transaction amount. However, the agent is built with strands SDK and can easily be extended to prompt LLMs. + +### 3. Human-in-the-Loop +- **Parallel Callbacks**: Email and SMS verification run concurrently (MOCKED: no actual email/SMS messages are sent) +- **Flexible Completion**: Succeeds when either channel approves +- **Failure Handling**: Immediately escalates if any verification fails + +### 4. Workflow Orchestration +- **Conditional Branching**: Different paths based on risk score +- **Step Isolation**: Each step is independently retryable +- **Result Tracking**: Comprehensive transaction result objects + +## Monitoring and Debugging + +### View CloudWatch Logs +```bash +# Tail logs in real-time +aws logs tail /aws/lambda/fn-Fraud-Detection \ + --region eu-south-1 \ + --follow + +# View recent logs +aws logs tail /aws/lambda/fn-Fraud-Detection \ + --region eu-south-1 \ + --since 1h +``` + +### Check Execution Status +```bash +# List all executions +aws lambda list-durable-executions-by-function \ + --function-name fn-Fraud-Detection \ + --region us-east-2 + +# Get specific execution details +aws lambda get-durable-execution \ + --durable-execution-arn \ + --region us-east-2 + +# View execution history with data +aws lambda get-durable-execution-history \ + --durable-execution-arn \ + --region us-east-2 \ + --include-execution-data +``` + +### Agent Logs +```bash +# View agent runtime logs +aws logs tail /aws/bedrock-agentcore/runtimes/fraud_risk_scorer--DEFAULT \ + --region us-east-1 \ + --follow +``` + +## IAM Permissions + +The Lambda execution role requires: + +1. **Basic Lambda Execution**: + - `AWSLambdaBasicExecutionRole` (managed policy) + +2. **Durable Execution**: + - `lambda:CheckpointDurableExecution` + - `lambda:GetDurableExecutionState` + +3. **Bedrock AgentCore**: + - `bedrock-agentcore:InvokeAgentRuntime` + +Reference: [Bedrock AgentCore Runtime Permissions](https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/runtime-permissions.html) + +## Configuration + +### Lambda Function Settings +- **Region**: `us-east-2` +- **Runtime**: Node.js 24.x +- **Timeout**: 120 seconds (per invocation) +- **Execution Timeout**: 600 seconds (total durable execution) +- **Memory**: 128 MB +- **Retention**: 7 days + +### Agent Settings +- **Region**: `us-east-1` +- **Runtime**: Python 3.11 (FastAPI + Uvicorn) +- **Platform**: ARM64 (Graviton) +- **Port**: 8080 +- **Endpoints**: `/invocations`, `/ping` + +## Troubleshooting + +### Issue: "Invalid base64" error when invoking +**Solution**: The payload is automatically base64 encoded by `invoke-function.sh`. Don't manually encode it. + +### Issue: Agent returns 500 error +**Solution**: Check agent logs for errors. Ensure the payload format is `{"input": {"amount": X}}`. + +### Issue: Callback not found +**Solution**: Callbacks expire after the timeout period (default: 1 day). Retrieve the callback ID from recent logs. + +### Issue: Docker build fails on macOS +**Solution**: Ensure Docker Desktop is running and configured for ARM64 builds. + +### Issue: "Cannot find module" errors +**Solution**: Run `npm install` in `FraudDetection-Lambda/` directory. + +## Cleanup + +To remove all deployed resources: + +```bash +# Delete Lambda function +aws lambda delete-function \ + --function-name fn-Fraud-Detection \ + --region us-east-2 + +# Delete agent runtime +aws bedrock-agentcore delete-runtime \ + --runtime-identifier \ + --region us-east-1 + +# Delete S3 bucket (if desired) +aws s3 rb s3://durable-functions- --force + +# Delete IAM role +aws iam delete-role --role-name durable-function-execution-role +``` + +## Additional Resources + +- [AWS Lambda Durable Functions Documentation](https://docs.aws.amazon.com/lambda/latest/dg/durable-functions.html) +- [AWS Bedrock AgentCore Documentation](https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/) +- [Durable Functions SDK Specification](./docs/4-sdk-functional-spec.md) +- [Durable Functions API Specification](./docs/5-api-functional-spec.md) + +---- +Copyright 2025 Amazon.com, Inc. or its affiliates. All Rights Reserved. + +SPDX-License-Identifier: MIT-0 \ No newline at end of file diff --git a/lambda-durablefunction-typescript/deploy.sh b/lambda-durablefunction-typescript/deploy.sh new file mode 100755 index 000000000..0e35b51b5 --- /dev/null +++ b/lambda-durablefunction-typescript/deploy.sh @@ -0,0 +1,458 @@ +#!/bin/bash + +#DEPLOY DURABLE FUNCTION + +set -e +#GET AWS ACCOUNT ID +ACCOUNT_ID=$(aws sts get-caller-identity --query Account --output text) + +#DECLARE VARIABLES +FUNCTION_NAME="fn-Fraud-Detection" +LAYER_NAME="lr-FraudDetection" +REGION="us-east-2" +ROLE_NAME="durable-function-execution-role" +BUCKET_NAME="durable-functions-$ACCOUNT_ID" +BUILD_LAYER=true #IF LAYER WAS ALREADY BUILT AND NO DEPENDENCY CHANGES, YOU CAN SET TO FALSE TO SKIP REBUILDING THE LAYER + + +########################################################################################################### +########################## DO NOT MODIFY THE SCRIPT BEYOND HERE ####################### +########################################################################################################### + +# SAVE CURRENT DIRECTORY +SCRIPT_DIR=$(pwd) + +cd FraudDetection-Agent +./deploy.sh | tee /tmp/agent-deploy.log +AGENT_DEPLOY_EXIT_CODE=${PIPESTATUS[0]} + +# ALWAYS RETURN TO ORIGINAL DIRECTORY +cd "$SCRIPT_DIR" + +# CHECK IF AGENT DEPLOY SUCCEEDED +if [ $AGENT_DEPLOY_EXIT_CODE -ne 0 ]; then + echo "โŒ Agent deployment failed with exit code: $AGENT_DEPLOY_EXIT_CODE" + exit 1 +fi + +# EXTRACT THE RUNTIME ARN FROM OUTPUT +AGENT_RUNTIME_ARN=$(grep "AGENT_RUNTIME_ARN=" /tmp/agent-deploy.log | cut -d'=' -f2) +AGENT_REGION=$(grep "AGENT_REGION=" /tmp/agent-deploy.log | cut -d'=' -f2) + +echo "๐Ÿš€ Deploying $FUNCTION_NAME Function in $REGION..." +echo "" + + +#CHECK IF S3 BUCKET EXISTS, CREATE IT IF IT DOESN'T +echo "๐Ÿชฃ Checking S3 bucket..." + +# CHECK IF BUCKET EXISTS IN ANY REGION +BUCKET_EXISTS=false +if aws s3api head-bucket --bucket $BUCKET_NAME 2>/dev/null; then + BUCKET_EXISTS=true + # GET BUCKET REGION + BUCKET_REGION=$(aws s3api get-bucket-location --bucket $BUCKET_NAME --query 'LocationConstraint' --output text) + if [ "$BUCKET_REGION" = "None" ] || [ -z "$BUCKET_REGION" ]; then + BUCKET_REGION="us-east-1" + fi + + if [ "$BUCKET_REGION" != "$REGION" ]; then + echo "โš ๏ธ Bucket exists in $BUCKET_REGION but Lambda is in $REGION" + echo "โš ๏ธ Using region-specific bucket name..." + BUCKET_NAME="durable-functions-bucket-$ACCOUNT_ID-$REGION" + echo "๐Ÿ”„ New bucket name: $BUCKET_NAME" + BUCKET_EXISTS=false + else + echo "โœ… Bucket exists: $BUCKET_NAME in $REGION" + fi +fi + +# CREATE BUCKET IF IT DOESN'T EXIST +if [ "$BUCKET_EXISTS" = false ]; then + if aws s3 ls "s3://$BUCKET_NAME" 2>&1 | grep -q 'NoSuchBucket'; then + echo "๐Ÿ“ฆ Creating S3 bucket: $BUCKET_NAME in $REGION" + + # RETRY LOGIC FOR BUCKET CREATION + MAX_RETRIES=3 + RETRY_COUNT=0 + BUCKET_CREATED=false + + while [ $RETRY_COUNT -lt $MAX_RETRIES ] && [ "$BUCKET_CREATED" = false ]; do + if [ $RETRY_COUNT -gt 0 ]; then + echo "โณ Waiting 10 seconds before retry $RETRY_COUNT/$MAX_RETRIES..." + sleep 10 + fi + + #CREATE BUCKET WITH APPROPRIATE LOCATION CONSTRAINT + if [ "$REGION" = "us-east-1" ]; then + if aws s3api create-bucket --bucket $BUCKET_NAME --region $REGION 2>/dev/null; then + BUCKET_CREATED=true + fi + else + if aws s3api create-bucket \ + --bucket $BUCKET_NAME \ + --region $REGION \ + --create-bucket-configuration LocationConstraint=$REGION 2>/dev/null; then + BUCKET_CREATED=true + fi + fi + + RETRY_COUNT=$((RETRY_COUNT + 1)) + done + + if [ "$BUCKET_CREATED" = false ]; then + echo "โŒ Failed to create bucket after $MAX_RETRIES attempts" + echo "๐Ÿ’ก The bucket might be in the process of being deleted. Please wait a few minutes and try again." + exit 1 + fi + + #ENABLE VERSIONING (RECOMMENDED FOR LAMBDA DEPLOYMENTS) + echo "๐Ÿ“š Enabling versioning..." + aws s3api put-bucket-versioning \ + --bucket $BUCKET_NAME \ + --versioning-configuration Status=Enabled \ + --region $REGION + + echo "โœ… Bucket created: $BUCKET_NAME" + else + echo "โœ… Bucket exists: $BUCKET_NAME" + fi +fi + + +#BUILD LAMBDA LAYER WITH NODE_MODULES +if $BUILD_LAYER = true; then + echo "๐Ÿ“ฆ Building Lambda layer with dependencies..." + cd FraudDetection-Lambda + + #CLEAN PREVIOUS BUILDS + echo "๐Ÿงน Cleaning directory...." + rm -rf node_modules && rm -rf layer && rm -rf layer.zip || true + + #INSTALL DEPENDENCIES + echo "๐Ÿ“ฅ Installing dependencies..." + npm install --silent + + #CREATE LAYER STRUCTURE (LAMBDA LAYERS REQUIRE NODEJS/NODE_MODULES PATH) + echo "๐Ÿ—๏ธ Creating layer structure..." + mkdir -p layer/nodejs + cp -r node_modules layer/nodejs/ + + #CREATE LAYER ZIP + echo "๐Ÿ—œ๏ธ Creating layer package..." + cd layer + zip -qr ../layer.zip . + cd .. + LAYER_SIZE=$(ls -lh layer.zip | awk '{print $5}') + echo "โœ… Layer package created: $LAYER_SIZE" + + #UPLOAD LAYER TO S3 + LAYER_S3_KEY="layers/$LAYER_NAME.zip" + echo "โฌ†๏ธ Uploading layer to S3..." + aws s3 cp layer.zip s3://$BUCKET_NAME/$LAYER_S3_KEY --region $REGION + echo "โœ… Layer uploaded to s3://$BUCKET_NAME/$LAYER_S3_KEY" + + #CHECK IF LAYER EXISTS AND CREATE/UPDATE + echo "๐Ÿ” Checking if layer exists..." + LAYER_ARN="" + if aws lambda list-layer-versions --layer-name $LAYER_NAME --region $REGION --query 'LayerVersions[0].LayerVersionArn' --output text 2>/dev/null | grep -q "arn:aws:lambda"; then + echo "Layer exists, publishing new version..." + else + echo "Creating new layer..." + fi + + #PUBLISH LAYER VERSION + echo "๐Ÿš€ Publishing layer" + LAYER_ARN=$(aws lambda publish-layer-version \ + --layer-name $LAYER_NAME \ + --description "Node modules for Fraud Detection durable function" \ + --content S3Bucket=$BUCKET_NAME,S3Key=$LAYER_S3_KEY \ + --compatible-runtimes nodejs24.x \ + --region $REGION \ + --query 'LayerVersionArn' \ + --output text) + + echo "โœ… Layer published: $LAYER_ARN" + echo "" + + #CLEAN UP LAYER ARTIFACTS + echo "๐Ÿงน Cleaning directory...." + rm -rf layer + cd .. + +else + echo "โญ๏ธ Skipping layer build..." + echo "๐Ÿ” Getting existing layer ARN..." + + # GET THE LATEST LAYER VERSION ARN + LAYER_ARN=$(aws lambda list-layer-versions \ + --layer-name $LAYER_NAME \ + --region $REGION \ + --query 'LayerVersions[0].LayerVersionArn' \ + --output text 2>/dev/null) + + if [ -z "$LAYER_ARN" ] || [ "$LAYER_ARN" = "None" ]; then + echo "โŒ Layer '$LAYER_NAME' not found in region $REGION" + echo "๐Ÿ’ก Set BUILD_LAYER=true to create the layer first" + exit 1 + fi + + echo "โœ… Found existing layer: $LAYER_ARN" + echo "" + + # INSTALL DEPENDENCIES FOR TYPESCRIPT COMPILATION (WILL BE REMOVED AFTER BUILD) + cd FraudDetection-Lambda + echo "๐Ÿ“ฅ Installing dependencies for TypeScript compilation..." + npm install --silent + cd .. +fi + +# ๐Ÿ”จ BUILD LAMBDA FUNCTION CODE (WITHOUT NODE_MODULES) +echo "๐Ÿ”จ Building Lambda function code..." +cd FraudDetection-Lambda + +# ๐Ÿงน CLEAN BUILD ARTIFACTS +rm -rf dist && rm -f function.zip + +# COMPILE TYPESCRIPT +tsc +echo "โœ… TypeScript compiled" + +# ๐Ÿ“ฆ CREATE FUNCTION DEPLOYMENT PACKAGE (WITHOUT NODE_MODULES - THEY'RE IN THE LAYER) +echo "๐Ÿ“ฆ Creating function deployment package..." +cd dist +zip -qr ../function.zip . +cd .. +zip -r ../function.zip package.json +PACKAGE_SIZE=$(ls -lh function.zip | awk '{print $5}') +echo "โœ… Function package created: $PACKAGE_SIZE (dependencies in layer)" + +# ๐Ÿงน CLEAN UP NODE_MODULES (NOT NEEDED IN DEPLOYMENT PACKAGE) +echo "๐Ÿงน Cleaning up node_modules..." +rm -rf node_modules && rm -rf package-lock.json +cd .. + +#UPLOAD FUNCTION TO S3 +S3_KEY="functions/$FUNCTION_NAME.zip" +echo "โฌ†๏ธ Uploading function to S3..." +aws s3 cp FraudDetection-Lambda/function.zip s3://$BUCKET_NAME/$S3_KEY --region $REGION +echo "โœ… Function uploaded to s3://$BUCKET_NAME/$S3_KEY" +echo "" + +#CHECK IF IAM EXECUTION ROLE EXISTS, CREATE IF IT DOESN'T +echo "๏ฟฝ Checking if IAM execution role exists..." +if aws iam get-role --role-name $ROLE_NAME >/dev/null 2>&1; then + echo "โœ… Role exists: $ROLE_NAME" + ROLE_ARN="arn:aws:iam::$ACCOUNT_ID:role/$ROLE_NAME" + +else + echo "๐Ÿ“ Creating IAM execution role: $ROLE_NAME" + + # CREATE THE ROLE + ROLE=$(aws iam create-role \ + --role-name $ROLE_NAME \ + --assume-role-policy-document '{"Version": "2012-10-17", "Statement": [{ "Effect": "Allow", "Principal": {"Service": "lambda.amazonaws.com"}, "Action": "sts:AssumeRole"}]}' \ + --output text) + + echo "โœ… Role created" + + # EXTRACT ROLE ARN + ROLE_ARN=$(echo "$ROLE" | grep -Eo 'arn:aws:iam::[0-9]{12}:role/[^[:space:]]+') + echo "๐Ÿ“‹ Role ARN: $ROLE_ARN" + + # ATTACH BASIC EXECUTION POLICY + echo "๐Ÿ“Ž Attaching basic execution policy..." + aws iam attach-role-policy \ + --role-name $ROLE_NAME \ + --policy-arn arn:aws:iam::aws:policy/service-role/AWSLambdaBasicExecutionRole + + # ADD DURABLE EXECUTION POLICY + echo "๐Ÿ“Ž Adding durable execution policy..." + aws iam put-role-policy \ + --role-name $ROLE_NAME \ + --policy-name LambdaDurableExecutionPolicy \ + --policy-document "{\"Version\": \"2012-10-17\",\"Statement\": [{\"Sid\": \"AWSLambdaDurableExecutionRole\",\"Effect\": \"Allow\",\"Action\": [\"lambda:CheckpointDurableExecution\",\"lambda:GetDurableExecutionState\"],\"Resource\": \"arn:aws:lambda:$REGION:$ACCOUNT_ID:function:$FUNCTION_NAME:*\"}]}" + +fi + +# ADD BEDROCK AGENTCORE INVOKE POLICY (ALWAYS RUN, WHETHER ROLE IS NEW OR EXISTING) +echo "๐Ÿ“Ž Adding/Updating Bedrock AgentCore invoke policy..." +aws iam put-role-policy \ + --role-name $ROLE_NAME \ + --policy-name BedrockAgentCoreInvokePolicy \ + --policy-document '{"Version": "2012-10-17","Statement": [{"Sid": "InvokeAgentRuntime","Effect": "Allow","Action": ["bedrock-agentcore:InvokeAgentRuntime"],"Resource": ["'"$AGENT_RUNTIME_ARN"'/*","'"$AGENT_RUNTIME_ARN"'"]}]}' + +echo "โœ… IAM role configured successfully" +echo "" + +echo "โณ Waiting 10 seconds for IAM role to propagate..." +sleep 10 + +# ๐Ÿ” CHECK IF FUNCTION EXISTS +echo "๐Ÿ” Checking if function exists..." +if aws lambda get-function --function-name $FUNCTION_NAME --region $REGION >/dev/null 2>&1; then + echo "Function exists, updating code instead..." + aws lambda update-function-code \ + --function-name $FUNCTION_NAME \ + --s3-bucket $BUCKET_NAME \ + --s3-key $S3_KEY \ + --region $REGION \ + --query 'FunctionArn' \ + --output text + + sleep 3 + + + # UPDATE ENVIRONMENT VARIABLES + echo "๐Ÿ”ง Updating environment variables..." + aws lambda update-function-configuration \ + --function-name $FUNCTION_NAME \ + --environment "Variables={AGENT_RUNTIME_ARN=$AGENT_RUNTIME_ARN,AGENT_REGION=$AGENT_REGION}" \ + --region $REGION >/dev/null + + + echo "๐Ÿ“‹ Publishing new version..." + FUNCTION_ARN=$(aws lambda publish-version \ + --function-name $FUNCTION_NAME \ + --region $REGION \ + --query 'FunctionArn' \ + --output text) + + echo "โœ… Function updated!" + echo "" + echo "๐Ÿ“‹ Function ARN: $FUNCTION_ARN" + rm -f function.zip + exit 0 +fi + +# ๐Ÿš€ CREATE DURABLE FUNCTION WITH LAYER +echo "๐Ÿš€ Creating durable function with SDK layer..." +aws lambda create-function \ + --function-name $FUNCTION_NAME \ + --runtime nodejs24.x \ + --role arn:aws:iam::$ACCOUNT_ID:role/$ROLE_NAME \ + --handler index.handler \ + --code S3Bucket=$BUCKET_NAME,S3Key=$S3_KEY \ + --environment "Variables={AGENT_RUNTIME_ARN=$AGENT_RUNTIME_ARN,AGENT_REGION=$AGENT_REGION}" \ + --layers $LAYER_ARN \ + --durable-config '{"ExecutionTimeout":600,"RetentionPeriodInDays":7}' \ + --timeout 120 \ + --memory-size 128 \ + --region $REGION \ + --query 'FunctionArn' \ + --output text + +echo "" +echo "โณ Waiting for function to be ready..." +sleep 5 + +# ๐Ÿ“‹ PUBLISH VERSION +echo "๐Ÿ“‹ Publishing version..." +FUNCTION_ARN=$(aws lambda publish-version \ + --function-name $FUNCTION_NAME \ + --region $REGION \ + --query 'FunctionArn' \ + --output text) + +echo "โœ… Function deployed successfully!" +echo "" +echo "๐Ÿ“‹ Function Details:" +echo " Name: $FUNCTION_NAME" +echo " ARN: $FUNCTION_ARN" +echo " Region: $REGION" +echo " Layer: $LAYER_ARN" +echo " Package Size: $PACKAGE_SIZE" +echo "" +echo "๐Ÿงช Test the Fraud Detection Function:" +echo "" +echo "โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”" +echo "๐Ÿ“ INTERACTIVE TESTING (Recommended)" +echo "โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”" +echo "" +echo "Use the interactive invoke script:" +echo " ./invoke-function.sh" +echo "" +echo "โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”" +echo "๐Ÿ’ฐ MANUAL TESTING - Transaction Scenarios" +echo "โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”" +echo "" +echo "1๏ธโƒฃ Low Risk Transaction (Auto-Approve, score < 3):" +echo " aws durable-lambda invoke \\" +echo " --function-name '$FUNCTION_ARN' \\" +echo " --invocation-type Event \\" +echo " --payload '{\"transactionId\":\"tx-001\",\"amount\":500,\"location\":\"New York\",\"vendor\":\"Amazon\",\"initialScore\":0}' \\" +echo " --region $REGION \\" +echo " output-low-risk.json" +echo "" +echo "2๏ธโƒฃ High Risk Transaction (Send to Fraud, score = 5):" +echo " aws durable-lambda invoke \\" +echo " --function-name '$FUNCTION_ARN' \\" +echo " --invocation-type Event \\" +echo " --payload '{\"transactionId\":\"tx-002\",\"amount\":10000,\"location\":\"Unknown\",\"vendor\":\"Suspicious Store\",\"initialScore\":0}' \\" +echo " --region $REGION \\" +echo " output-high-risk.json" +echo "" +echo "3๏ธโƒฃ Medium Risk Transaction (Human Verification, score 3-4):" +echo " aws durable-lambda invoke \\" +echo " --function-name '$FUNCTION_ARN' \\" +echo " --invocation-type Event \\" +echo " --payload '{\"transactionId\":\"tx-003\",\"amount\":6500,\"location\":\"Los Angeles\",\"vendor\":\"Electronics Store\",\"initialScore\":0}' \\" +echo " --region $REGION \\" +echo " output-medium-risk.json" +echo "" +echo " ๐Ÿ“ง After invocation, retrieve callback IDs from logs and use:" +echo " ./send-callback.sh" +echo "" +echo "4๏ธโƒฃ Override Risk Score (Skip Agent, use score 3):" +echo " aws durable-lambda invoke \\" +echo " --function-name '$FUNCTION_ARN' \\" +echo " --invocation-type Event \\" +echo " --payload '{\"transactionId\":\"tx-004\",\"amount\":1000,\"location\":\"Chicago\",\"vendor\":\"Store\",\"initialScore\":3}' \\" +echo " --region $REGION \\" +echo " output-override.json" +echo "" +echo "โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”" +echo "๐Ÿ“Š MONITORING & DEBUGGING" +echo "โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”" +echo "" +echo "๐Ÿ“‹ List all durable executions:" +echo " aws durable-lambda list-durable-executions-by-function \\" +echo " --function-name $FUNCTION_NAME \\" +echo " --region $REGION" +echo "" +echo "๐Ÿ” Get execution details (replace with execution ARN from invoke output):" +echo " aws durable-lambda get-durable-execution \\" +echo " --durable-execution-arn \\" +echo " --region $REGION" +echo "" +echo "๐Ÿ“œ View execution history with data:" +echo " aws durable-lambda get-durable-execution-history \\" +echo " --durable-execution-arn \\" +echo " --region $REGION \\" +echo " --include-execution-data" +echo "" +echo "๐Ÿ“ View CloudWatch Logs (real-time):" +echo " aws logs tail /aws/lambda/$FUNCTION_NAME \\" +echo " --region $REGION \\" +echo " --follow" +echo "" +echo "๐Ÿ“ View recent logs (last hour):" +echo " aws logs tail /aws/lambda/$FUNCTION_NAME \\" +echo " --region $REGION \\" +echo " --since 1h" +echo "" +echo "โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”" +echo "๐Ÿ’ก RISK SCORE BEHAVIOR" +echo "โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”โ”" +echo "" +echo " Amount < \$1,000 โ†’ Scores 1-2 (Auto-Approved)" +echo " Amount \$1,000-\$4,999 โ†’ Scores 1-4 (Weighted toward lower)" +echo " Amount \$5,000-\$9,999 โ†’ Scores 3-5 (Higher risk)" +echo " Amount = \$6,500 โ†’ Score 3 (Forces human verification)" +echo " Amount โ‰ฅ \$10,000 โ†’ Score 5 (Send to Fraud)" +echo "" + +# ๐Ÿงน CLEANUP +rm -f function.zip + +echo "โœ… Deployment complete!" \ No newline at end of file diff --git a/lambda-durablefunction-typescript/example-pattern.json b/lambda-durablefunction-typescript/example-pattern.json new file mode 100644 index 000000000..798b3062f --- /dev/null +++ b/lambda-durablefunction-typescript/example-pattern.json @@ -0,0 +1,56 @@ +{ + "title": "Lambda Durable Functions Example", + "description": "Create a durable lambda function using Typescript.", + "language": "Typescript", + "level": "300", + "framework": "Bash", + "introBox": { + "headline": "How it works", + "text": [ + "This sample project demonstrates how to create a durable lambda using Typescript. The Lambda and all resources are deployed using the AWS CLI with bash." + ] + }, + "gitHub": { + "template": { + "repoURL": "https://github.com/aws-samples/serverless-patterns/tree/main/lambda-durablefunction-typescript", + "templateURL": "serverless-patterns/lambda-durablefunction-typescript", + "projectFolder": "lambda-durablefunction-typescript", + "templateFile": "lambda-durablefunction-typescript/FraudDetection-Lambda/src/index.ts" + } + }, + "resources": { + "bullets": [ + { + "text": "Create a durable function", + "link": "https://docs.aws.amazon.com/lambda/latest/dg/durable-functions.html" + }, + { + "text": "Amazon Bedrock AgentCore", + "link": "https://docs.aws.amazon.com/bedrock-agentcore/latest/devguide/what-is-bedrock-agentcore.html" + } + ] + }, + "deploy": { + "text": [ + "./deploy.sh" + ] + }, + "testing": { + "text": [ + "See readme for instructions." + ] + }, + "cleanup": { + "text": [ + "See readme for instructions." + ] + }, + "authors": [ + { + "name": "Joe Losinski", + "image": "https://avatars.githubusercontent.com/u/128616881?s=400&u=709f313db9eab1162d1874860c96bbd44164f1bf&v=4", + "bio": "AWS Senior Solutions Architect and Serverless Enthusiast.", + "linkedin": "https://www.linkedin.com/in/joelosinski/" + } + ] +} diff --git a/lambda-durablefunction-typescript/invoke-function.sh b/lambda-durablefunction-typescript/invoke-function.sh new file mode 100755 index 000000000..cc4206df3 --- /dev/null +++ b/lambda-durablefunction-typescript/invoke-function.sh @@ -0,0 +1,119 @@ +#!/bin/bash + +# INVOKE DURABLE FRAUD DETECTION FUNCTION + +# GET AWS ACCOUNT ID +ACCOUNT_ID=$(aws sts get-caller-identity --query Account --output text) + +# FUNCTION CONFIGURATION (matches deploy.sh) +FUNCTION_NAME="fn-Fraud-Detection" +REGION="us-east-2" + +echo "๐Ÿ” Fraud Detection - Durable Function Invocation" +echo "================================================" +echo "" + +# PROMPT FOR TRANSACTION DETAILS +read -p "Enter transaction ID (default: $(date +%s)): " TX_ID +TX_ID=${TX_ID:-$(date +%s)} + +read -p "Enter transaction amount in USD (default: 5000.00): " AMOUNT +AMOUNT=${AMOUNT:-5000.00} + +read -p "Enter transaction location (default: New York, NY): " LOCATION +LOCATION=${LOCATION:-"New York, NY"} + +read -p "Enter vendor name (default: Amazon.com): " VENDOR +VENDOR=${VENDOR:-"Amazon.com"} + +read -p "Enter initial fraud score 0-5 (default: 0, leave as 0 to invoke fraud agent): " SCORE +SCORE=${SCORE:-0} + +echo "" +echo "๐Ÿ“‹ Transaction Details:" +echo " ID: $TX_ID" +echo " Amount: \$$AMOUNT" +echo " Location: $LOCATION" +echo " Vendor: $VENDOR" +echo " Initial Score: $SCORE" +echo "" + +# GET THE LATEST PUBLISHED VERSION ARN +echo "๐Ÿ” Getting latest function version..." +FUNCTION_ARN=$(aws lambda list-versions-by-function \ + --function-name $FUNCTION_NAME \ + --region $REGION \ + --query 'Versions[?Version!=`$LATEST`] | [-1].FunctionArn' \ + --output text) + +if [ -z "$FUNCTION_ARN" ] || [ "$FUNCTION_ARN" = "None" ]; then + echo "โŒ No published version found. Please run ./deploy.sh first." + exit 1 +fi + +echo "โœ… Function ARN: $FUNCTION_ARN" +echo "" + +# CREATE PAYLOAD +PAYLOAD=$(cat <&1) + +echo "" +echo "โœ… Function invoked successfully!" +echo "" + +# EXTRACT DURABLE EXECUTION ARN FROM OUTPUT (it's in the response headers) +DURABLE_EXECUTION_ARN=$(echo "$INVOKE_OUTPUT" | grep -o 'arn:aws:lambda:[^:]*:[^:]*:function:[^/]*/durable-execution/[^/]*/[a-zA-Z0-9-]*' | head -1) + +# DISPLAY RESPONSE PAYLOAD (filter out the ARN line) +echo "๐Ÿ“Š Response Payload:" +echo "$INVOKE_OUTPUT" | grep -v "arn:aws:lambda" | jq '.' 2>/dev/null || echo "$INVOKE_OUTPUT" | grep -v "arn:aws:lambda" +echo "" + +if [ ! -z "$DURABLE_EXECUTION_ARN" ]; then + echo "๐Ÿ”— Durable Execution ARN:" + echo " $DURABLE_EXECUTION_ARN" + echo "" + echo "๐Ÿ“ Useful Commands:" + echo "" + echo " # Get execution details:" + echo " aws durable-lambda get-durable-execution \\" + echo " --durable-execution-arn '$DURABLE_EXECUTION_ARN' \\" + echo " --region $REGION" + echo "" + echo " # Get execution history:" + echo " aws durable-lambda get-durable-execution-history \\" + echo " --durable-execution-arn '$DURABLE_EXECUTION_ARN' \\" + echo " --region $REGION \\" + echo " --include-execution-data" + echo "" + echo " # List all executions:" + echo " aws durable-lambda list-durable-executions-by-function \\" + echo " --function-name $FUNCTION_NAME \\" + echo " --region $REGION" + echo "" +fi + +echo "" +echo "๐Ÿ” View CloudWatch Logs:" +echo " aws logs tail /aws/lambda/$FUNCTION_NAME --region $REGION --follow" +echo "" diff --git a/lambda-durablefunction-typescript/send-callback.sh b/lambda-durablefunction-typescript/send-callback.sh new file mode 100755 index 000000000..fd3271619 --- /dev/null +++ b/lambda-durablefunction-typescript/send-callback.sh @@ -0,0 +1,86 @@ +#!/bin/bash + +# ๐Ÿ“ž SEND CALLBACK TO DURABLE FUNCTION + +set -e + +# ๐Ÿ“ DECLARE VARIABLES +REGION="us-east-2" + +echo "๐Ÿ“ž Send Callback to Durable Function" +echo "====================================" +echo "" + +# ๐Ÿ” PROMPT FOR CALLBACK ID +read -p "Enter Callback ID: " CALLBACK_ID + +if [ -z "$CALLBACK_ID" ]; then + echo "โŒ Error: Callback ID cannot be empty" + exit 1 +fi + +echo "" +echo "๐Ÿ“‹ Callback Details:" +echo " Callback ID: $CALLBACK_ID" +echo " Region: $REGION" +echo "" + +# ๐ŸŽฏ PROMPT FOR SUCCESS OR FAILURE +echo "Select callback type:" +echo " 1) Approve" +echo " 2) Reject" +read -p "Enter choice (1 or 2): " CALLBACK_TYPE + +case $CALLBACK_TYPE in + 1) + echo "" + echo "โœ… Sending APPROVE/SUCCESS callback..." + + RESULT_PAYLOAD='{"status":"approved","message":"Transaction approved by user"}' + + # SEND SUCCESS CALLBACK + aws lambda send-durable-execution-callback-success \ + --callback-id "$CALLBACK_ID" \ + --result "$RESULT_PAYLOAD" \ + --region $REGION + + echo "โœ… Success callback sent!" + echo "๐Ÿ“‹ Result: $RESULT_PAYLOAD" + ;; + + 2) + echo "" + echo "โŒ Sending REJECT/FAILURE callback..." + + ERROR_TYPE="UserRejection" + ERROR_MESSAGE="Transaction rejected by user" + + # BUILD ERROR OBJECT + ERROR_OBJECT=$(cat <