Files
Maxim 25b4fecbc5 docs(agentcore): converge the one uv/deploy contract across the files that state it
The AgentCore example states its Python-tooling and deploy contract in six
places — two READMEs, four script self-docs, terraform.tfvars.example, the
Terraform variable descriptions and .gitignore. There is only one contract, but
each of the last three review rounds corrected a single copy of it, so the
copies drifted apart and now contradict each other. This pass reconciles all of
them against measured behaviour instead of patching one more surface.

What the contract actually is, verified by running each command:

- test-agent.py imports boto3/requests/colorama, so it runs under uv with no
  --project flag. `uv run` resolves the script path against the shell's cwd, not
  the project root, so `--project ..` is redundant, not required: both forms load
  infra-terraform/scripts/test-agent.py and both reach the same
  `FileNotFoundError: 'terraform'`. The script's Usage block claimed the flag was
  needed; it no longer does.
- deploy-frontend.py (Terraform) is standard-library only with a 3.8 floor, so uv
  is optional. `uv run --no-project` and plain `python3` stop identically at
  "terraform is not installed". Its "Requires: uv" line said otherwise.
- That same script cannot succeed at all. It requires a Terraform output named
  feedback_api_url; no root or module outputs.tf declares one (only an SSM
  parameter of that name). Fed the exact output set that outputs.tf does declare,
  it exits 1 at "Missing required Terraform outputs: feedback_api_url" before any
  build or upload. The README documented it as the working path for a Terraform
  deployment; it now says what happens and points at infra-cdk. Repairing the
  script or declaring the output is tracked separately.
- agents/ holds two uv projects plus agents/utils/, which both Dockerfiles COPY
  in and which has no pyproject.toml or lockfile. "Each agent is its own uv
  project" overstated the guarantee.
- docker mode needs Docker running but no separate build step: the apply's
  docker_build_push provisioner builds and pushes ARM64 before the runtime
  resource, which depends_on it. tfvars.example prescribed
  apply -> build script -> apply, contradicting the build script's own header.
- .gitignore covered .venv/ but not venv/, the third and last surface of a guard
  .dockerignore and the Terraform image-hash filter already cover. A real
  UV_PROJECT_ENVIRONMENT=venv sync produced 2329 committable files (30MB); it is
  now ignored, matching the other two.

Also corrected while auditing every command, path, prerequisite and tool version
in the same tree: the frontend is Vite, not Next.js; the CDK tester reads
config.yaml at the example root, not infra-cdk/config.yaml; the CDK frontend
deployer's floor is 3.8, not 3.11, and its usage hint named a path that does not
resolve from the example root; build-and-push-image.sh resolves region from
AWS_REGION/AWS_DEFAULT_REGION/aws-config with no us-east-1 fallback; up.sh
overwrites the STACK_NAME and MEMORY_ID that .env.example told you to fill in;
and backend_pattern's "available patterns" listed two agents this example does
not ship.

Deliberately untouched, tracked elsewhere: the missing docs/ directory and its
links, "Node.js 18+", the duplicated `cd infra-cdk` teardown, the
Memory-and-Gateway-only claim, the undeclared aws_region variable (still the one
remaining README/tfvars.example disagreement), the absent teardown section, the
duplicate deploy-frontend.sh, and every code-behaviour defect in the scripts.

Verified: py_compile on all four touched Python files, bash -n on all five shell
scripts, and every documented command run from the directory its text names.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-24 18:46:30 +02:00

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#!/usr/bin/env python3
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: Apache-2.0
"""
Cross-platform frontend deployment script for FAST.
Deploys the React frontend to AWS Amplify by:
1. Fetching configuration from CDK stack outputs
2. Generating aws-exports.json
3. Building the frontend
4. Packaging and uploading to S3
5. Triggering Amplify deployment
Requires: Python 3.8+ (the floor this script enforces below), AWS CLI, npm, Node.js
No external Python dependencies - uses standard library only, so uv is optional:
`uv run scripts/deploy-frontend.py <stack-name>` and
`python3 scripts/deploy-frontend.py <stack-name>` behave identically. The
deploy-langgraph.sh / deploy-strands.sh wrappers call it through uv.
This is the CDK variant. For a Terraform deployment use
infra-terraform/scripts/deploy-frontend.py instead — this one reads
`aws cloudformation describe-stacks`, which a Terraform stack does not have.
Usage:
cd examples/integrations/agentcore
uv run scripts/deploy-frontend.py <stack-name>
"""
import atexit
import json
import os
import re
import shutil
import subprocess # nosec B404 - subprocess used securely with explicit parameters
import sys
import time
from pathlib import Path
from typing import Dict, Optional
# Minimum Python version check
if sys.version_info < (3, 8):
print("Error: Python 3.8 or higher is required")
sys.exit(1)
# Constants
BRANCH_NAME = "main"
NEXT_BUILD_DIR = "build"
CLEANUP_FILES: list = []
# --- Logging helpers ---
def log_info(message: str) -> None:
"""Print an info message."""
print(f" {message}")
def log_success(message: str) -> None:
"""Print a success message."""
print(f"{message}")
def log_error(message: str) -> None:
"""Print an error message to stderr."""
print(f"{message}", file=sys.stderr)
def log_warning(message: str) -> None:
"""Print a warning message."""
print(f"{message}")
# --- Utility functions ---
def cleanup() -> None:
"""Remove temporary files created during deployment."""
for filepath in CLEANUP_FILES:
if os.path.exists(filepath):
os.remove(filepath)
log_info(f"Cleaned up {filepath}")
def run_command(
command: list,
capture_output: bool = True,
check: bool = True,
cwd: Optional[str] = None,
) -> subprocess.CompletedProcess:
"""
Execute a command securely via subprocess.
Args:
command: List of command arguments
capture_output: Whether to capture stdout/stderr
check: Whether to raise on non-zero exit
cwd: Working directory for the command
Returns:
CompletedProcess instance with command results
"""
return subprocess.run( # nosec B603 - command constructed from safe list
command,
capture_output=capture_output,
text=True,
check=check,
shell=False,
timeout=300,
cwd=cwd,
)
def check_prerequisite(command: str) -> bool:
"""
Check if a command is available in PATH.
Args:
command: Name of the command to check
Returns:
True if command exists, False otherwise
"""
return shutil.which(command) is not None
def parse_config_yaml(config_path: Path) -> Dict[str, str]:
"""
Parse config.yaml using regex (no PyYAML dependency).
Args:
config_path: Path to config.yaml file
Returns:
Dictionary with stack_name_base and pattern values
"""
config = {"stack_name_base": "", "pattern": "langgraph-single-agent"}
if not config_path.exists():
return config
content = config_path.read_text()
# Extract stack_name_base
match = re.search(r"^stack_name_base:\s*(\S+)", content, re.MULTILINE)
if match:
config["stack_name_base"] = match.group(1).strip("\"'")
# Extract pattern from backend section
match = re.search(r"pattern:\s*(\S+)", content)
if match:
config["pattern"] = match.group(1).split("#")[0].strip().strip("\"'")
return config
def get_file_size_human(filepath: str) -> str:
"""
Get human-readable file size.
Args:
filepath: Path to the file
Returns:
Human-readable size string (e.g., "1.5MB")
"""
size = os.path.getsize(filepath)
for unit in ["B", "KB", "MB", "GB"]:
if size < 1024:
return f"{size:.1f}{unit}"
size /= 1024
return f"{size:.1f}TB"
# --- AWS CLI wrappers ---
def get_stack_outputs(stack_name: str) -> Dict[str, str]:
"""
Fetch CloudFormation stack outputs via AWS CLI.
Args:
stack_name: Name of the CloudFormation stack
Returns:
Dictionary mapping output keys to values
"""
result = run_command(
[
"aws",
"cloudformation",
"describe-stacks",
"--stack-name",
stack_name,
"--output",
"json",
]
)
stack_data = json.loads(result.stdout)
stacks = stack_data.get("Stacks", [])
if not stacks:
raise ValueError(f"Stack '{stack_name}' not found or has no data")
outputs = stacks[0].get("Outputs", [])
return {o["OutputKey"]: o["OutputValue"] for o in outputs}
def get_stack_region(stack_name: str) -> str:
"""
Get the AWS region from stack ARN.
Args:
stack_name: Name of the CloudFormation stack
Returns:
AWS region string
"""
result = run_command(
[
"aws",
"cloudformation",
"describe-stacks",
"--stack-name",
stack_name,
"--output",
"json",
]
)
stack_data = json.loads(result.stdout)
stacks = stack_data.get("Stacks", [])
if not stacks:
raise ValueError(f"Stack '{stack_name}' not found or has no data")
stack_arn = stacks[0]["StackId"]
# ARN format: arn:aws:cloudformation:region:account:stack/name/id
arn_parts = stack_arn.split(":")
if len(arn_parts) < 4:
raise ValueError(f"Invalid stack ARN format: {stack_arn}")
return arn_parts[3]
def upload_to_s3(local_path: str, bucket: str, key: str) -> None:
"""
Upload a file to S3 via AWS CLI.
Args:
local_path: Path to local file
bucket: S3 bucket name
key: S3 object key
"""
run_command(
["aws", "s3", "cp", local_path, f"s3://{bucket}/{key}", "--no-progress"]
)
def start_amplify_deployment(app_id: str, branch: str, source_url: str) -> Dict:
"""
Start an Amplify deployment via AWS CLI.
Args:
app_id: Amplify application ID
branch: Branch name to deploy
source_url: S3 URL of deployment package
Returns:
Deployment response as dictionary
"""
result = run_command(
[
"aws",
"amplify",
"start-deployment",
"--app-id",
app_id,
"--branch-name",
branch,
"--source-url",
source_url,
"--output",
"json",
]
)
return json.loads(result.stdout)
def get_amplify_job_status(app_id: str, branch: str, job_id: str) -> str:
"""
Get the status of an Amplify deployment job.
Args:
app_id: Amplify application ID
branch: Branch name
job_id: Deployment job ID
Returns:
Job status string
"""
result = run_command(
[
"aws",
"amplify",
"get-job",
"--app-id",
app_id,
"--branch-name",
branch,
"--job-id",
job_id,
"--output",
"json",
]
)
return json.loads(result.stdout)["job"]["summary"]["status"]
def get_amplify_app_domain(app_id: str) -> str:
"""
Get the default domain for an Amplify app.
Args:
app_id: Amplify application ID
Returns:
Default domain string
"""
result = run_command(
[
"aws",
"amplify",
"get-app",
"--app-id",
app_id,
"--query",
"app.defaultDomain",
"--output",
"text",
]
)
return result.stdout.strip()
# --- Main deployment logic ---
def generate_aws_exports(
stack_name: str,
outputs: Dict[str, str],
region: str,
pattern: str,
frontend_dir: Path,
) -> None:
"""
Generate aws-exports.json configuration file.
Args:
stack_name: CloudFormation stack name
outputs: Stack outputs dictionary
region: AWS region
pattern: Agent pattern name
frontend_dir: Path to frontend directory
"""
required = [
"CognitoClientId",
"CognitoUserPoolId",
"AmplifyUrl",
"RuntimeArn",
"CopilotKitRuntimeUrl",
]
missing = [k for k in required if k not in outputs]
if missing:
raise ValueError(f"Missing required stack outputs: {', '.join(missing)}")
aws_exports = {
"authority": f"https://cognito-idp.{region}.amazonaws.com/{outputs['CognitoUserPoolId']}",
"client_id": outputs["CognitoClientId"],
"redirect_uri": outputs["AmplifyUrl"],
"post_logout_redirect_uri": outputs["AmplifyUrl"],
"response_type": "code",
"scope": "email openid profile",
"automaticSilentRenew": True,
"agentRuntimeArn": outputs["RuntimeArn"],
"awsRegion": region,
"copilotKitRuntimeUrl": outputs["CopilotKitRuntimeUrl"],
"agentPattern": pattern,
}
public_dir = frontend_dir / "public"
public_dir.mkdir(parents=True, exist_ok=True)
output_path = public_dir / "aws-exports.json"
output_path.write_text(json.dumps(aws_exports, indent=2))
log_success(f"Generated aws-exports.json at {output_path}")
def create_deployment_zip(build_dir: Path, output_path: Path) -> None:
"""
Create a zip archive of the build directory.
Args:
build_dir: Path to the build directory
output_path: Path for the output zip file (without .zip extension)
"""
# shutil.make_archive adds .zip automatically
shutil.make_archive(
str(output_path.with_suffix("")), "zip", root_dir=str(build_dir)
)
def main() -> int:
"""
Main deployment function.
Returns:
Exit code (0 for success, 1 for failure)
"""
atexit.register(cleanup)
# Determine paths
script_dir = Path(__file__).parent.resolve()
project_root = script_dir.parent
frontend_dir = project_root / "frontend"
config_path = project_root / "infra-cdk" / "config.yaml"
log_info("🚀 Starting frontend deployment process...")
print()
# Validate prerequisites
log_info("Validating prerequisites...")
prerequisites = ["npm", "aws", "node"]
for prereq in prerequisites:
if not check_prerequisite(prereq):
log_error(f"{prereq} is not installed")
return 1
log_success("All prerequisites found")
# Verify AWS credentials are configured
log_info("Verifying AWS credentials...")
try:
run_command(["aws", "sts", "get-caller-identity"], capture_output=True)
log_success("AWS credentials configured")
except subprocess.CalledProcessError:
log_error("AWS credentials not configured or invalid")
log_info("Run 'aws configure' to set up your AWS credentials")
log_info(
"Or set AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY environment variables"
)
return 1
# Get stack name
stack_name = sys.argv[1] if len(sys.argv) > 1 else os.environ.get("STACK_NAME")
if not stack_name:
config = parse_config_yaml(config_path)
stack_name = config.get("stack_name_base")
if not stack_name:
log_error("Stack name is required")
log_info("Usage: uv run scripts/deploy-frontend.py <stack-name>")
log_info(" or: STACK_NAME=your-stack uv run scripts/deploy-frontend.py")
log_info(" (run from examples/integrations/agentcore/)")
return 1
# Fetch CDK outputs
log_info(f"Fetching configuration from CDK stack: {stack_name}")
try:
outputs = get_stack_outputs(stack_name)
region = get_stack_region(stack_name)
except subprocess.CalledProcessError as e:
log_error(f"Failed to fetch stack outputs: {e.stderr}")
return 1
except ValueError as e:
log_error(str(e))
return 1
# Validate required outputs
app_id = outputs.get("AmplifyAppId")
deployment_bucket = outputs.get("StagingBucketName")
if not app_id:
log_error("Could not find Amplify App ID in stack outputs")
return 1
if not deployment_bucket:
log_error("Could not find Staging Bucket Name in stack outputs")
return 1
log_success(f"App ID: {app_id}")
log_success(f"Staging Bucket: {deployment_bucket}")
log_success(f"Region: {region}")
# Get agent pattern from config
config = parse_config_yaml(config_path)
pattern = config.get("pattern", "strands-single-agent")
log_info(f"Agent pattern: {pattern}")
# Generate aws-exports.json
log_info("Generating aws-exports.json...")
try:
generate_aws_exports(stack_name, outputs, region, pattern, frontend_dir)
except ValueError as e:
log_error(str(e))
return 1
# Change to frontend directory
os.chdir(frontend_dir)
log_info(f"Working directory: {frontend_dir}")
# Install dependencies if needed
node_modules = frontend_dir / "node_modules"
package_json = frontend_dir / "package.json"
if (
not node_modules.exists()
or package_json.stat().st_mtime > node_modules.stat().st_mtime
):
log_info("Installing dependencies...")
try:
run_command(["npm", "install"], capture_output=False)
log_success("Dependencies installed")
except subprocess.CalledProcessError:
log_error("Failed to install dependencies")
return 1
else:
log_success("Dependencies are up to date")
# Build frontend
log_info("Building React app...")
try:
run_command(["npm", "run", "build"], capture_output=False)
log_success("Build completed")
except subprocess.CalledProcessError:
log_error("Build failed")
return 1
# Verify build directory
build_dir = frontend_dir / NEXT_BUILD_DIR
if not build_dir.exists():
log_error(f"Build directory '{NEXT_BUILD_DIR}' not found")
return 1
# Copy aws-exports.json to build
aws_exports_src = frontend_dir / "public" / "aws-exports.json"
aws_exports_dst = build_dir / "aws-exports.json"
shutil.copy2(aws_exports_src, aws_exports_dst)
log_success("Added aws-exports.json to build directory")
# Create deployment zip
log_info("Creating deployment package...")
zip_path = frontend_dir / "amplify-deploy.zip"
CLEANUP_FILES.append(str(zip_path))
create_deployment_zip(build_dir, zip_path)
zip_size = get_file_size_human(str(zip_path))
log_success(f"Package created ({zip_size})")
# Upload to S3
s3_key = f"amplify-deploy-{int(time.time())}.zip"
log_info(f"Uploading to S3 (s3://{deployment_bucket}/{s3_key})...")
try:
upload_to_s3(str(zip_path), deployment_bucket, s3_key)
log_success("Upload completed")
except subprocess.CalledProcessError as e:
log_error(f"S3 upload failed: {e.stderr}")
return 1
# Start Amplify deployment
log_info("Starting Amplify deployment...")
source_url = f"s3://{deployment_bucket}/{s3_key}"
try:
deployment = start_amplify_deployment(app_id, BRANCH_NAME, source_url)
job_id = deployment["jobSummary"]["jobId"]
log_success(f"Deployment initiated (Job ID: {job_id})")
except subprocess.CalledProcessError as e:
log_error(f"Amplify deployment failed: {e.stderr}")
return 1
# Poll deployment status
log_info("Monitoring deployment status...")
while True:
try:
status = get_amplify_job_status(app_id, BRANCH_NAME, job_id)
except subprocess.CalledProcessError as e:
log_error(f"Failed to get deployment status: {e.stderr}")
return 1
print(f" Status: {status}")
if status == "SUCCEED":
log_success("Deployment completed successfully!")
break
elif status in ("FAILED", "CANCELLED"):
log_error(f"Deployment {status.lower()}")
return 1
time.sleep(10)
# Print final info
print()
log_info(f"S3 Package: s3://{deployment_bucket}/{s3_key}")
log_info("Console: https://console.aws.amazon.com/amplify/apps")
try:
app_domain = get_amplify_app_domain(app_id)
log_info(f"App URL: https://{BRANCH_NAME}.{app_domain}")
except subprocess.CalledProcessError:
log_warning("Could not retrieve app URL - check Amplify console")
return 0
if __name__ == "__main__":
sys.exit(main())