RAJA

This README is intentionally short and focused on day-to-day usage.

For architecture, design notes, tests, and deeper docs, see AGENTS.md.

Target Workflow

1. Set env and deploy the stack.
2. Use the Admin UI and/or call RALE via boto3.
3. Add S3 buckets for testing.

1) Set Env And Deploy

Prereqs:

• AWS credentials configured locally
• uv, terraform, docker

uv sync

# one-time (if missing)
cp infra/terraform/terraform.tfvars.example infra/terraform/terraform.tfvars

# required admin key used by protected control-plane endpoints
cat > .env <<'ENV'
RAJA_ADMIN_KEY=change-me-admin-key
ENV

./poe deploy
python scripts/show_outputs.py

./poe deploy writes deployment outputs to infra/tf-outputs.json.

2) Run Admin UI

export API_URL="$(python - <<'PY'
import json
print(json.load(open('infra/tf-outputs.json'))['api_url'])
PY
)"

open "$API_URL"

• Browse to / for the Admin UI.
• Enter the same RAJA_ADMIN_KEY you used for deploy.

Quick API check:

curl -sS "$API_URL/principals" \
  -H "Authorization: Bearer $RAJA_ADMIN_KEY"

3) Call RALE With boto3

This uses the RAJEE endpoint (which fronts RALE) with normal S3 API calls.

export API_URL="$(python - <<'PY'
import json
o=json.load(open('infra/tf-outputs.json'))
print(o['api_url'])
PY
)"
export RAJEE_ENDPOINT="$(python - <<'PY'
import json
o=json.load(open('infra/tf-outputs.json'))
print(o['rajee_endpoint'])
PY
)"
export TEST_BUCKET="$(python - <<'PY'
import json
o=json.load(open('infra/tf-outputs.json'))
print(o['rajee_test_bucket_name'])
PY
)"

# create a principal with test-bucket permissions
curl -sS -X POST "$API_URL/principals" \
  -H "Authorization: Bearer $RAJA_ADMIN_KEY" \
  -H "Content-Type: application/json" \
  -d "{\"principal\":\"User::demo\",\"scopes\":[\"S3Object:${TEST_BUCKET}/*:s3:GetObject\",\"S3Object:${TEST_BUCKET}/*:s3:PutObject\",\"S3Bucket:${TEST_BUCKET}:s3:ListBucket\"]}"

# mint a RAJEE token for that principal
export RAJEE_TOKEN="$(curl -sS -X POST "$API_URL/token" \
  -H "Authorization: Bearer $RAJA_ADMIN_KEY" \
  -H "Content-Type: application/json" \
  -d '{"principal":"User::demo","token_type":"rajee"}' | python -c 'import sys,json; print(json.load(sys.stdin)["token"])')"

import os
import boto3
from botocore.config import Config

region = os.environ.get("AWS_REGION") or os.environ.get("AWS_DEFAULT_REGION") or "us-east-1"
endpoint = os.environ["RAJEE_ENDPOINT"]
token = os.environ["RAJEE_TOKEN"]
bucket = os.environ["TEST_BUCKET"]

s3 = boto3.client(
    "s3",
    endpoint_url=endpoint,
    region_name=region,
    config=Config(s3={"addressing_style": "path"}),
)

def _headers(request, **_):
    request.headers["Host"] = f"s3.{region}.amazonaws.com"
    request.headers["x-raja-authorization"] = f"Bearer {token}"

s3.meta.events.register("before-sign.s3", _headers)

s3.put_object(Bucket=bucket, Key="rajee-integration/hello.txt", Body=b"hello")
print(s3.get_object(Bucket=bucket, Key="rajee-integration/hello.txt")["Body"].read())
print([x["Key"] for x in s3.list_objects_v2(Bucket=bucket, Prefix="rajee-integration/").get("Contents", [])])

4) Add Buckets To Test With

1. Add a new aws_s3_bucket (+ versioning/encryption/public-access-block) in infra/terraform/main.tf.
2. Add that bucket ARN to both IAM policies in infra/terraform/main.tf:
   • aws_iam_role_policy.rale_router_permissions
   • aws_iam_role_policy.rajee_task_permissions
3. Add an output in infra/terraform/outputs.tf if you want the bucket name in infra/tf-outputs.json.
4. Re-deploy:

./poe deploy