SyncValsverifier → artifact → classifier → verdict
SyncVals · Trajectory

apigw-sqs-fifo-direct-integration

claude-code claude-opus-4-7 ✗ failed GOOD_FAILURE ↑ View task
Solved from the instruction alone, tests/ and solution/ were withheld from the agent's workspace and restored only for grading.
Reward = tests/test.sh exit code (0 → resolved); the classification below is post-hoc and cannot change it.
Classification , post-hoc; cannot change the reward
GOOD_FAILUREHonest miss, the agent ran correctly but couldn't solve it. Expected for a hard task; the task is sound.
SubtypeIncomplete Execution
EvidenceTest `test_stage_deployment_id_was_refreshed` fails: expects at least 2 deployments but found only 1. The agent called `aws apigateway create-deployment` once during initial setup (step 27, offset 2674) but did not call it again after subsequently editing the integration configuration, integration response, and other resources. Agent manually verified end-to-end success (18/19 tests pass), proving functionality works, but missed the required deployment refresh procedure. Instruction explicitly states at lines 32-33: 'after every wiring change, call `apigateway create-deployment` against this rest-api targeting stage `dev` , **once at the very end, once after a fix, every time**' and warns: 'forgetting this is the single most common reason an otherwise-correct setup still looks broken'."
Root causeThe agent successfully built a functionally correct AWS infrastructure and verified end-to-end correctness through manual testing, but failed to follow the explicit instruction to refresh the API Gateway deployment after each integration configuration change. The agent called create-deployment only once during initial setup, but did not call it again after making subsequent modifications to the integration resources.
RecommendationN/A - task is fine. The instruction is clear and correct. The test is properly verifying compliance with an important AWS API Gateway operational requirement (deployments must be refreshed to push configuration changes to the live stage). This is an agent execution issue, not a task specification problem.
Trajectory
Tool-by-tool agent trajectory
26 tool calls · 4 tool types · 35 steps
ok so we need an order-ingest pipeline on localstack. localstack is at `http://localstack:4566`, creds are already exported (`AWS_ACCESS_KEY_ID=test`, same for secret, region `us-east-1`), you've got `aws`, `python3`, `boto3`, `jq`, `zip`, `curl`. build the whole thing. a seeder (`/app/setup.sh`, already ran) has pre-created the consumer Lambda (`orders-consumer`) and its role (`orders-consumer-role`) , **both broken by design**. the handler has the wrong batch-failure response shape and isn't idempotent, and the role is missing the AWS actions it actually needs to do its job. you fix those. everything else is up to you to build from scratch: - the rest api + stage + resource + method + integration + deployment - the apigw→sqs iam role - the two fifo queues (main + dlq) with redrive - the ddb table - the event source mapping from the main queue to the pre-seeded lambda IAM policies too , every role needs whatever actions its job requires. merchants POST orders to a rest api. the api drops the order onto a fifo queue, a consumer lambda drains the queue into dynamodb, and anything that keeps failing lands in a dlq. duplicate POSTs for the same order must be no-ops at the storage layer , second POST succeeds http-wise but the stored row doesn't change. done looks like this: one `POST /dev/orders` from inside the compose network with body `{"order_id":..., "merchant_id":..., "amount":...}` and within ~30s: - http 200 back - exactly one row in the `orders` table keyed by `order_id`, carrying merchant_id and amount - nothing in the dlq - re-POST the same body → still 200, still one row, unchanged - two different order_ids under the same merchant preserve posted order in the table timestamps shape of it: - rest api, stage `dev`, resource `/orders`, method `POST`. integration is a direct aws-service call to sqs , not AWS_PROXY, not a lambda proxy. api gateway assumes a role and hands the message straight to the queue. - the queue is fifo. content-based dedup off. a separate fifo dlq is wired via redrive. - a lambda consumes the queue via an event source mapping, writes to ddb, and reports per-record failures so a single bad record doesn't retry the whole batch. - ddb table `orders`, partition key `order_id` (String). also: api gateway is two-layer , there's the CONFIGURATION (resources, methods, integration, role, mapping templates) and there's the live STAGE that clients actually hit. editing configuration in place doesn't promote anything; clients keep seeing the old behavior until you create a NEW deployment for the stage. so after every wiring change, call `apigateway create-deployment` against this rest-api targeting stage `dev` , once at the very end, once after a fix, every time. forgetting this is the single most common reason an otherwise-correct setup still looks broken. names the verifier grabs by hand, use them exactly: | thing | name | |-|-| | rest api | `orders-api` | | stage | `dev` | | resource path | `/orders` | | method | `POST` | | main queue | `orders.fifo` | | dlq | `orders-dlq.fifo` | | apigw→sqs role | `apigw-to-sqs-role` | | consumer lambda | `orders-consumer` | | consumer lambda role | `orders-consumer-role` | | ddb table | `orders` (pk `order_id` String) | python3.11 for the lambda. the lambda runs on the shared compose network so `http://localstack:4566` is reachable from inside it. localstack community 4.13.1. you have up to 60 minutes.

List app directory contents

shell
ls /app/
output
setup.sh
starter

[stdout]
setup.sh
starter

Read setup script

shell
cat /app/setup.sh
output
#!/bin/bash
[redacted: decontamination sentinel]
[redacted: decontamination sentinel]
#
# Pre-seeds the consumer Lambda + its role with a broken-by-design
# handler and incomplete IAM. The agent has to build everything else
# (queues, DDB, apigw, integration, deployment, ESM) AND fix this
# Lambda's handler + role. Without the pre-seeded Lambda, Opus 4.7
# tends to read the prose and forget the consumer path entirely.

set -euo pipefail

REGION="${AWS_DEFAULT_REGION:-us-east-1}"
ACCOUNT_ID="000000000000"

LAMBDA_FUNC="orders-consumer"
LAMBDA_ROLE="orders-consumer-role"

log() { echo "[setup] $*" >&2; }

log "waiting for localstack"
for _ in $(seq 1 80); do
  HEALTH=$(curl -sf http://localstack:4566/_localstack/health || true)
  echo "$HEALTH" | grep -qE '"lambda": "(available|running)"' \
    && echo "$HEALTH" | grep -qE '"iam": "(available|running)"' \
    && break
  sleep 2
done

log "creating Lambda consumer role (deliberately incomplete)"
TRUST=$(cat <<'JSON'
{
  "Version": "2012-10-17",
  "Statement": [
    {"Effect": "Allow", "Principal": {"Service": "lambda.amazonaws.com"}, "Action": "sts:AssumeRole"}
  ]
}
JSON
)
aws iam create-role \
  --role-name "$LAMBDA_ROLE" \
  --assume-role-policy-document "$TRUST" >/dev/null
aws iam attach-role-policy \
  --role-name "$LAMBDA_ROLE" \
  --policy-arn arn:aws:iam::aws:policy/service-role/AWSLambdaBasicExecutionRole
# Note: no dynamodb:PutItem, no sqs perms. Agent fixes this.
ROLE_ARN=$(aws iam get-role --role-name "$LAMBDA_ROLE" --query 'Role.Arn' --output text)

log "packaging Lambda (broken-by-design inline handler)"
WORKDIR="$(mktemp -d)"
cat > "${WORKDIR}/handler.py" <<'PY'
"""Orders consumer - broken by design.

Known issues (agent must fix):
  - Not idempotent: a duplicate message will try to PutItem again,
    which will either overwrite (wrong) or fail (wrong shape).
  - Returns a per-record 'failed' list instead of the AWS-required
    batchItemFailures shape for partial-batch-failure reporting.
"""

import json
import os
import time
import boto3

_endpoint = os.environ.get("AWS_ENDPOINT_URL", "http://localstack:4566")
ddb = boto3.client("dynamodb", endpoint_url=_endpoint)

TABLE_NAME = os.environ.get("TABLE_NAME", "orders")


def _process_record(record):
    payload = json.loads(record["body"])
    order_id = payload["order_id"]
    merchant_id = payload["merchant_id"]
    amount = int(payload["amount"])

    ddb.put_item(
        TableName=TABLE_NAME,
        Item={
            "order_id": {"S": order_id},
            "merchant_id": {"S": merchant_id},
            "amount": {"N": str(amount)},
            "created_at": {"N": str(int(time.time()))},
        },
    )


def lambda_handler(event, context):
    failed = []
    for record in event.get("Records", []):
        try:
            _process_record(record)
        except Exception as e:
            print(f"[error] msgId={record.get('messageId')} {type(e).__name__}: {e}")
            failed.append({"itemIdentifier": record["messageId"]})

    return {"failed": failed}
PY
(cd "$WORKDIR" && zip -q handler.zip handler.py)

log "creating Lambda function"
aws lambda create-function \
  --function-name "$LAMBDA_FUNC" \
  --runtime python3.11 \
  --role "$ROLE_ARN" \
  --handler handler.lambda_handler \
  --timeout 30 \
  --memory-size 512 \
  --environment "Variables={AWS_ENDPOINT_URL=http://localstack:4566,TABLE_NAME=orders}" \
  --zip-file "fileb://${WORKDIR}/handler.zip" >/dev/null

for _ in $(seq 1 30); do
  STATE=$(aws lambda get-function --function-name "$LAMBDA_FUNC" \
    --query 'Configuration.State' --output text 2>/dev/null || echo "Pending")
  [ "$STATE" = "Active" ] && break
  sleep 1
done
log "Lambda $LAMBDA_FUNC ready"

log "done"

[stdout]
#!/bin/bash
[redacted: decontamination sentinel]
[redacted: decontamination sentinel]
#
# Pre-seeds the consumer Lambda + its role with a broken-by-design
# handler and incomplete IAM. The agent has to build everything else
# (queues, DDB, apigw, integration, deployment, ESM) AND fix this
# Lambda's handler + role. Without the pre-seeded Lambda, Opus 4.7
# tends to read the prose and forget the consumer path entirely.

set -euo pipefail

REGION="${AWS_DEFAULT_REGION:-us-east-1}"
ACCOUNT_ID="000000000000"

LAMBDA_FUNC="orders-consumer"
LAMBDA_ROLE="orders-consumer-role"

log() { echo "[setup] $*" >&2; }

log "waiting for localstack"
for _ in $(seq 1 80); do
  HEALTH=$(curl -sf http://localstack:4566/_localstack/health || true)
  echo "$HEALTH" | grep -qE '"lambda": "(available|running)"' \
    && echo "$HEALTH" | grep -qE '"iam": "(available|running)"' \
    && break
  sleep 2
done

log "creating Lambda consumer role (deliberately incomplete)"
TRUST=$(cat <<'JSON'
{
  "Version": "2012-10-17",
  "Statement": [
    {"Effect": "Allow", "Principal": {"Service": "lambda.amazonaws.com"}, "Action": "sts:AssumeRole"}
  ]
}
JSON
)
aws iam create-role \
  --role-name "$LAMBDA_ROLE" \
  --assume-role-policy-document "$TRUST" >/dev/null
aws iam attach-role-policy \
  --role-name "$LAMBDA_ROLE" \
  --policy-arn arn:aws:iam::aws:policy/service-role/AWSLambdaBasicExecutionRole
# Note: no dynamodb:PutItem, no sqs perms. Agent fixes this.
ROLE_ARN=$(aws iam get-role --role-name "$LAMBDA_ROLE" --query 'Role.Arn' --output text)

log "packaging Lambda (broken-by-design inline handler)"
WORKDIR="$(mktemp -d)"
cat > "${WORKDIR}/handler.py" <<'PY'
"""Orders consumer - broken by design.

Known issues (agent must fix):
  - Not idempotent: a duplicate message will try to PutItem again,
    which will either overwrite (wrong) or fail (wrong shape).
  - Returns a per-record 'failed' list instead of the AWS-required
    batchItemFailures shape for partial-batch-failure reporting.
"""

import json
import os
import time
import boto3

_endpoint = os.environ.get("AWS_ENDPOINT_URL", "http://localstack:4566")
ddb = boto3.client("dynamodb", endpoint_url=_endpoint)

TABLE_NAME = os.environ.get("TABLE_NAME", "orders")


def _process_record(record):
    payload = json.loads(record["body"])
    order_id = payload["order_id"]
    merchant_id = payload["merchant_id"]
    amount = int(payload["amount"])

    ddb.put_item(
        TableName=TABLE_NAME,
        Item={
            "order_id": {"S": order_id},
            "merchant_id": {"S": merchant_id},
            "amount": {"N": str(amount)},
            "created_at": {"N": str(int(time.time()))},
        },
    )


def lambda_handler(event, context):
    failed = []
    for record in event.get("Records", []):
        try:
            _process_record(record)
        except Exception as e:
            print(f"[error] msgId={record.get('messageId')} {type(e).__name__}: {e}")
            failed.append({"itemIdentifier": record["messageId"]})

    return {"failed": failed}
PY
(cd "$WORKDIR" && zip -q handler.zip handler.py)

log "creating Lambda function"
aws lambda create-function \
  --function-name "$LAMBDA_FUNC" \
  --runtime python3.11 \
  --role "$ROLE_ARN" \
  --handler handler.lambda_handler \
  --timeout 30 \
  --memory-size 512 \
  --environment "Variables={AWS_ENDPOINT_URL=http://localstack:4566,TABLE_NAME=orders}" \
  --zip-file "fileb://${WORKDIR}/handler.zip" >/dev/null

for _ in $(seq 1 30); do
  STATE=$(aws lambda get-function --function-name "$LAMBDA_FUNC" \
    --query 'Configuration.State' --output text 2>/dev/null || echo "Pending")
  [ "$STATE" = "Active" ] && break
  sleep 1
done
log "Lambda $LAMBDA_FUNC ready"

log "done"

List starter directory

shell
ls /app/starter/ 2>/dev/null && echo "---" && find /app/starter -type f 2>/dev/null
output
setup.sh
---
/app/starter/setup.sh

[stdout]
setup.sh
---
/app/starter/setup.sh

Check localstack health and aws version

shell
curl -sf http://localstack:4566/_localstack/health | head -c 600 && echo && aws --version
output
{"services": {"acm": "disabled", "apigateway": "available", "cloudformation": "disabled", "cloudwatch": "disabled", "config": "disabled", "dynamodb": "available", "dynamodbstreams": "available", "ec2": "disabled", "es": "disabled", "events": "disabled", "firehose": "disabled", "iam": "running", "kinesis": "available", "kms": "disabled", "lambda": "running", "logs": "available", "opensearch": "disabled", "redshift": "disabled", "resource-groups": "disabled", "resourcegroupstaggingapi": "disabled", "route53": "disabled", "route53resolver": "disabled", "s3": "running", "s3control": "disabled", "s
aws-cli/2.34.33 Python/3.14.4 Linux/6.10.14-linuxkit exe/aarch64.ubuntu.24

[stdout]
{"services": {"acm": "disabled", "apigateway": "available", "cloudformation": "disabled", "cloudwatch": "disabled", "config": "disabled", "dynamodb": "available", "dynamodbstreams": "available", "ec2": "disabled", "es": "disabled", "events": "disabled", "firehose": "disabled", "iam": "running", "kinesis": "available", "kms": "disabled", "lambda": "running", "logs": "available", "opensearch": "disabled", "redshift": "disabled", "resource-groups": "disabled", "resourcegroupstaggingapi": "disabled", "route53": "disabled", "route53resolver": "disabled", "s3": "running", "s3control": "disabled", "s
aws-cli/2.34.33 Python/3.14.4 Linux/6.10.14-linuxkit exe/aarch64.ubuntu.24
I'll plan and build this end to end. Let me set up env and start with the data plane (DDB + queues), then IAM, then fix/rewire the Lambda, then API Gateway last.

Confirm pre-seeded lambda and role

shell
echo "AWS endpoint check..."
aws --endpoint-url=http://localstack:4566 lambda get-function --function-name orders-consumer --query 'Configuration.[FunctionName,State,Role,Handler]' --output text
echo "---"
aws --endpoint-url=http://localstack:4566 iam list-attached-role-policies --role-name orders-consumer-role
output
AWS endpoint check...
orders-consumer	Active	arn:aws:iam::000000000000:role/orders-consumer-role	handler.lambda_handler
---
{
    "AttachedPolicies": [
        {
            "PolicyName": "AWSLambdaBasicExecutionRole",
            "PolicyArn": "arn:aws:iam::aws:policy/service-role/AWSLambdaBasicExecutionRole"
        }
    ]
}

[stdout]
AWS endpoint check...
orders-consumer	Active	arn:aws:iam::000000000000:role/orders-consumer-role	handler.lambda_handler
---
{
    "AttachedPolicies": [
        {
            "PolicyName": "AWSLambdaBasicExecutionRole",
            "PolicyArn": "arn:aws:iam::aws:policy/service-role/AWSLambdaBasicExecutionRole"
        }
    ]
}

Create orders DDB table

shell
mkdir -p /app/build && cd /app/build
# Create DDB table
aws --endpoint-url=http://localstack:4566 dynamodb create-table \
  --table-name orders \
  --attribute-definitions AttributeName=order_id,AttributeType=S \
  --key-schema AttributeName=order_id,KeyType=HASH \
  --billing-mode PAY_PER_REQUEST \
  --query 'TableDescription.TableStatus' --output text
echo "---wait for active---"
aws --endpoint-url=http://localstack:4566 dynamodb wait table-exists --table-name orders
echo "table ready"
output
ACTIVE
---wait for active---
table ready

[stdout]
ACTIVE
---wait for active---
table ready

Create FIFO queues with redrive

shell
EP="http://localstack:4566"
ACCT="000000000000"
# DLQ first
DLQ_URL=$(aws --endpoint-url=$EP sqs create-queue \
  --queue-name orders-dlq.fifo \
  --attributes FifoQueue=true,ContentBasedDeduplication=false \
  --query 'QueueUrl' --output text)
echo "dlq url: $DLQ_URL"
DLQ_ARN=$(aws --endpoint-url=$EP sqs get-queue-attributes --queue-url "$DLQ_URL" \
  --attribute-names QueueArn --query 'Attributes.QueueArn' --output text)
echo "dlq arn: $DLQ_ARN"

# Main FIFO queue with redrive
REDRIVE=$(printf '{"deadLetterTargetArn":"%s","maxReceiveCount":"3"}' "$DLQ_ARN")
MAIN_URL=$(aws --endpoint-url=$EP sqs create-queue \
  --queue-name orders.fifo \
  --attributes "FifoQueue=true,ContentBasedDeduplication=false,RedrivePolicy=$REDRIVE,VisibilityTimeout=60" \
  --query 'QueueUrl' --output text)
echo "main url: $MAIN_URL"
MAIN_ARN=$(aws --endpoint-url=$EP sqs get-queue-attributes --queue-url "$MAIN_URL" \
  --attribute-names QueueArn --query 'Attributes.QueueArn' --output text)
echo "main arn: $MAIN_ARN"

# Save for later steps
echo "$DLQ_URL" > /tmp/dlq_url
echo "$DLQ_ARN" > /tmp/dlq_arn
echo "$MAIN_URL" > /tmp/main_url
echo "$MAIN_ARN" > /tmp/main_arn
output
dlq url: http://sqs.us-east-1.localhost.localstack.cloud:4566/000000000000/orders-dlq.fifo
dlq arn: arn:aws:sqs:us-east-1:000000000000:orders-dlq.fifo

aws: [ERROR]: An error occurred (ParamValidation): Error parsing parameter '--attributes': Expected: '=', received: '"' for input:
 FifoQueue=true,ContentBasedDeduplication=false,RedrivePolicy={"deadLetterTargetArn":"arn:aws:sqs:us-east-1:000000000000:orders-dlq.fifo","maxReceiveCount":"3"},VisibilityTimeout=60
                                                              ^
main url: 

aws: [ERROR]: An error occurred (AWS.SimpleQueueService.NonExistentQueue) when calling the GetQueueAttributes operation: The specified queue does not exist.
main arn:

[stdout]
dlq url: http://sqs.us-east-1.localhost.localstack.cloud:4566/000000000000/orders-dlq.fifo
dlq arn: arn:aws:sqs:us-east-1:000000000000:orders-dlq.fifo

aws: [ERROR]: An error occurred (ParamValidation): Error parsing parameter '--attributes': Expected: '=', received: '"' for input:
 FifoQueue=true,ContentBasedDeduplication=false,RedrivePolicy={"deadLetterTargetArn":"arn:aws:sqs:us-east-1:000000000000:orders-dlq.fifo","maxReceiveCount":"3"},VisibilityTimeout=60
                                                              ^
main url: 

aws: [ERROR]: An error occurred (AWS.SimpleQueueService.NonExistentQueue) when calling the GetQueueAttributes operation: The specified queue does not exist.
main arn:

Create main queue using JSON file for attrs

shell
EP="http://localstack:4566"
DLQ_ARN=$(cat /tmp/dlq_arn)

cat > /tmp/main_attrs.json <<EOF
{
  "FifoQueue": "true",
  "ContentBasedDeduplication": "false",
  "VisibilityTimeout": "60",
  "RedrivePolicy": "{\"deadLetterTargetArn\":\"$DLQ_ARN\",\"maxReceiveCount\":\"3\"}"
}
EOF
cat /tmp/main_attrs.json

MAIN_URL=$(aws --endpoint-url=$EP sqs create-queue \
  --queue-name orders.fifo \
  --attributes file:///tmp/main_attrs.json \
  --query 'QueueUrl' --output text)
echo "main url: $MAIN_URL"
MAIN_ARN=$(aws --endpoint-url=$EP sqs get-queue-attributes --queue-url "$MAIN_URL" \
  --attribute-names QueueArn --query 'Attributes.QueueArn' --output text)
echo "main arn: $MAIN_ARN"
echo "$MAIN_URL" > /tmp/main_url
echo "$MAIN_ARN" > /tmp/main_arn
output
{
  "FifoQueue": "true",
  "ContentBasedDeduplication": "false",
  "VisibilityTimeout": "60",
  "RedrivePolicy": "{\"deadLetterTargetArn\":\"arn:aws:sqs:us-east-1:000000000000:orders-dlq.fifo\",\"maxReceiveCount\":\"3\"}"
}
main url: http://sqs.us-east-1.localhost.localstack.cloud:4566/000000000000/orders.fifo
main arn: arn:aws:sqs:us-east-1:000000000000:orders.fifo

[stdout]
{
  "FifoQueue": "true",
  "ContentBasedDeduplication": "false",
  "VisibilityTimeout": "60",
  "RedrivePolicy": "{\"deadLetterTargetArn\":\"arn:aws:sqs:us-east-1:000000000000:orders-dlq.fifo\",\"maxReceiveCount\":\"3\"}"
}
main url: http://sqs.us-east-1.localhost.localstack.cloud:4566/000000000000/orders.fifo
main arn: arn:aws:sqs:us-east-1:000000000000:orders.fifo

Create apigw-to-sqs role with SendMessage policy

shell
EP="http://localstack:4566"
MAIN_ARN=$(cat /tmp/main_arn)

# apigw->sqs role
TRUST=$(cat <<'JSON'
{"Version":"2012-10-17","Statement":[{"Effect":"Allow","Principal":{"Service":"apigateway.amazonaws.com"},"Action":"sts:AssumeRole"}]}
JSON
)
aws --endpoint-url=$EP iam create-role \
  --role-name apigw-to-sqs-role \
  --assume-role-policy-document "$TRUST" \
  --query 'Role.Arn' --output text > /tmp/apigw_role_arn
cat /tmp/apigw_role_arn
echo

POLICY=$(cat <<JSON
{"Version":"2012-10-17","Statement":[{"Effect":"Allow","Action":["sqs:SendMessage","sqs:GetQueueUrl","sqs:GetQueueAttributes"],"Resource":"$MAIN_ARN"}]}
JSON
)
aws --endpoint-url=$EP iam put-role-policy \
  --role-name apigw-to-sqs-role \
  --policy-name apigw-sqs-send \
  --policy-document "$POLICY"
echo "apigw role policy attached"
output
arn:aws:iam::000000000000:role/apigw-to-sqs-role

apigw role policy attached

[stdout]
arn:aws:iam::000000000000:role/apigw-to-sqs-role

apigw role policy attached
ToolSearch
{
  "query": "select:TodoWrite",
  "max_results": 1
}

, output, 
{"type": "tool_reference", "tool_name": "TodoWrite"}
  • Create DDB orders table
  • Create FIFO queues with redrive
  • Create apigw-to-sqs role + policy
  • Add DDB+SQS perms to consumer lambda role
  • Fix lambda handler (idempotency + batchItemFailures)
  • Create event source mapping
  • Build REST API with SQS direct integration
  • Deploy stage dev and verify end-to-end

Attach DDB+SQS policy to consumer lambda role

shell
EP="http://localstack:4566"
MAIN_ARN=$(cat /tmp/main_arn)

POLICY=$(cat <<JSON
{"Version":"2012-10-17","Statement":[
  {"Effect":"Allow","Action":["dynamodb:PutItem","dynamodb:GetItem","dynamodb:UpdateItem","dynamodb:DescribeTable"],"Resource":"arn:aws:dynamodb:us-east-1:000000000000:table/orders"},
  {"Effect":"Allow","Action":["sqs:ReceiveMessage","sqs:DeleteMessage","sqs:GetQueueAttributes","sqs:ChangeMessageVisibility"],"Resource":"$MAIN_ARN"}
]}
JSON
)
aws --endpoint-url=$EP iam put-role-policy \
  --role-name orders-consumer-role \
  --policy-name orders-consumer-perms \
  --policy-document "$POLICY"
echo "consumer role policy attached"
aws --endpoint-url=$EP iam list-role-policies --role-name orders-consumer-role
output
consumer role policy attached
{
    "PolicyNames": [
        "orders-consumer-perms"
    ]
}

[stdout]
consumer role policy attached
{
    "PolicyNames": [
        "orders-consumer-perms"
    ]
}
Now fix the lambda handler , idempotent put + correct `batchItemFailures` shape.
write · /app/build/handler.py
import json
import os
import time
import boto3
from botocore.exceptions import ClientError

_endpoint = os.environ.get("AWS_ENDPOINT_URL", "http://localstack:4566")
ddb = boto3.client("dynamodb", endpoint_url=_endpoint)

TABLE_NAME = os.environ.get("TABLE_NAME", "orders")


def _process_record(record):
    payload = json.loads(record["body"])
    order_id = payload["order_id"]
    merchant_id = payload["merchant_id"]
    amount = int(payload["amount"])

    try:
        ddb.put_item(
            TableName=TABLE_NAME,
            Item={
                "order_id": {"S": order_id},
                "merchant_id": {"S": merchant_id},
                "amount": {"N": str(amount)},
                "created_at": {"N": str(time.time_ns())},
            },
            ConditionExpression="attribute_not_exists(order_id)",
        )
    except ClientError as e:
        if e.response.get("Error", {}).get("Code") == "ConditionalCheckFailedException":
            return
        raise


def lambda_handler(event, context):
    batch_item_failures = []
    for record in event.get("Records", []):
        try:
            _process_record(record)
        except Exception as e:
            print(f"[error] msgId={record.get('messageId')} {type(e).__name__}: {e}")
            batch_item_failures.append({"itemIdentifier": record["messageId"]})

    return {"batchItemFailures": batch_item_failures}

Update lambda code and wait for ready

shell
EP="http://localstack:4566"
cd /app/build
zip -q handler.zip handler.py
aws --endpoint-url=$EP lambda update-function-code \
  --function-name orders-consumer \
  --zip-file fileb://handler.zip \
  --query 'LastUpdateStatus' --output text
# wait for update
for _ in $(seq 1 30); do
  STATUS=$(aws --endpoint-url=$EP lambda get-function --function-name orders-consumer --query 'Configuration.LastUpdateStatus' --output text)
  [ "$STATUS" = "Successful" ] && break
  sleep 1
done
aws --endpoint-url=$EP lambda get-function --function-name orders-consumer --query 'Configuration.[State,LastUpdateStatus]' --output text
output
InProgress
Active	Successful

[stdout]
InProgress
Active	Successful
  • Create DDB orders table
  • Create FIFO queues with redrive
  • Create apigw-to-sqs role + policy
  • Add DDB+SQS perms to consumer lambda role
  • Fix lambda handler (idempotency + batchItemFailures)
  • Create event source mapping
  • Build REST API with SQS direct integration
  • Deploy stage dev and verify end-to-end

Create event source mapping with partial batch failure

shell
EP="http://localstack:4566"
MAIN_ARN=$(cat /tmp/main_arn)

aws --endpoint-url=$EP lambda create-event-source-mapping \
  --function-name orders-consumer \
  --event-source-arn "$MAIN_ARN" \
  --batch-size 10 \
  --function-response-types ReportBatchItemFailures \
  --query '[UUID,State]' --output text
output
1ecf2052-fab8-4d97-8a11-a27bbdb4f11d	Creating

[stdout]
1ecf2052-fab8-4d97-8a11-a27bbdb4f11d	Creating

Wait for ESM enabled

shell
EP="http://localstack:4566"
for _ in $(seq 1 30); do
  S=$(aws --endpoint-url=$EP lambda list-event-source-mappings --function-name orders-consumer --query 'EventSourceMappings[0].State' --output text)
  echo "esm state: $S"
  [ "$S" = "Enabled" ] && break
  sleep 1
done
aws --endpoint-url=$EP lambda list-event-source-mappings --function-name orders-consumer --query 'EventSourceMappings[0].[State,FunctionResponseTypes,EventSourceArn]' --output json
output
esm state: Enabled
[
    "Enabled",
    [
        "ReportBatchItemFailures"
    ],
    "arn:aws:sqs:us-east-1:000000000000:orders.fifo"
]

[stdout]
esm state: Enabled
[
    "Enabled",
    [
        "ReportBatchItemFailures"
    ],
    "arn:aws:sqs:us-east-1:000000000000:orders.fifo"
]
Now build the REST API with a direct AWS-service integration to SQS.

Create REST api, /orders resource, POST method

shell
EP="http://localstack:4566"
APIGW_ROLE_ARN=$(cat /tmp/apigw_role_arn)

API_ID=$(aws --endpoint-url=$EP apigateway create-rest-api \
  --name orders-api \
  --query 'id' --output text)
echo "api_id: $API_ID"

ROOT_ID=$(aws --endpoint-url=$EP apigateway get-resources \
  --rest-api-id "$API_ID" \
  --query 'items[?path==`/`].id' --output text)
echo "root_id: $ROOT_ID"

ORDERS_ID=$(aws --endpoint-url=$EP apigateway create-resource \
  --rest-api-id "$API_ID" \
  --parent-id "$ROOT_ID" \
  --path-part orders \
  --query 'id' --output text)
echo "orders_id: $ORDERS_ID"

aws --endpoint-url=$EP apigateway put-method \
  --rest-api-id "$API_ID" \
  --resource-id "$ORDERS_ID" \
  --http-method POST \
  --authorization-type NONE \
  --query '[httpMethod,authorizationType]' --output text

echo "$API_ID" > /tmp/api_id
echo "$ORDERS_ID" > /tmp/orders_id
output
api_id: ptk1lkxkxj
root_id: 0ldd9gg7ij
orders_id: jiqrir6vm5
POST	NONE

[stdout]
api_id: ptk1lkxkxj
root_id: 0ldd9gg7ij
orders_id: jiqrir6vm5
POST	NONE

Configure AWS-service SQS integration with mapping template

shell
EP="http://localstack:4566"
API_ID=$(cat /tmp/api_id)
ORDERS_ID=$(cat /tmp/orders_id)
APIGW_ROLE_ARN=$(cat /tmp/apigw_role_arn)
ACCT="000000000000"
REGION="us-east-1"

URI="arn:aws:apigateway:${REGION}:sqs:path/${ACCT}/orders.fifo"

# request mapping template -> form-encoded SendMessage to SQS
TEMPLATE='Action=SendMessage&MessageBody=$util.urlEncode($input.body)&MessageGroupId=$util.urlEncode($input.path('"'"'$.merchant_id'"'"'))&MessageDeduplicationId=$util.urlEncode($input.path('"'"'$.order_id'"'"'))'

# write JSON arg files (avoids shell-quoting hell)
cat > /tmp/req_params.json <<'EOF'
{"integration.request.header.Content-Type":"'application/x-www-form-urlencoded'"}
EOF

python3 -c "
import json
tpl = '''Action=SendMessage&MessageBody=\$util.urlEncode(\$input.body)&MessageGroupId=\$util.urlEncode(\$input.path('\$.merchant_id'))&MessageDeduplicationId=\$util.urlEncode(\$input.path('\$.order_id'))'''
print(json.dumps({'application/json': tpl}))
" > /tmp/req_tpl.json
cat /tmp/req_tpl.json

aws --endpoint-url=$EP apigateway put-integration \
  --rest-api-id "$API_ID" \
  --resource-id "$ORDERS_ID" \
  --http-method POST \
  --type AWS \
  --integration-http-method POST \
  --uri "$URI" \
  --credentials "$APIGW_ROLE_ARN" \
  --passthrough-behavior NEVER \
  --request-parameters file:///tmp/req_params.json \
  --request-templates file:///tmp/req_tpl.json \
  --query '[type,httpMethod,uri]' --output text
output
{"application/json": "Action=SendMessage&MessageBody=$util.urlEncode($input.body)&MessageGroupId=$util.urlEncode($input.path('$.merchant_id'))&MessageDeduplicationId=$util.urlEncode($input.path('$.order_id'))"}
AWS	POST	arn:aws:apigateway:us-east-1:sqs:path/000000000000/orders.fifo

[stdout]
{"application/json": "Action=SendMessage&MessageBody=$util.urlEncode($input.body)&MessageGroupId=$util.urlEncode($input.path('$.merchant_id'))&MessageDeduplicationId=$util.urlEncode($input.path('$.order_id'))"}
AWS	POST	arn:aws:apigateway:us-east-1:sqs:path/000000000000/orders.fifo

Method/integration response and deployment to dev

shell
EP="http://localstack:4566"
API_ID=$(cat /tmp/api_id)
ORDERS_ID=$(cat /tmp/orders_id)

# Method response (200)
aws --endpoint-url=$EP apigateway put-method-response \
  --rest-api-id "$API_ID" \
  --resource-id "$ORDERS_ID" \
  --http-method POST \
  --status-code 200 \
  --response-models '{"application/json":"Empty"}' \
  --query 'statusCode' --output text

# Integration response 200 (default pattern)
echo '{"application/json":"{\"ok\":true}"}' > /tmp/int_resp_tpl.json
cat /tmp/int_resp_tpl.json

aws --endpoint-url=$EP apigateway put-integration-response \
  --rest-api-id "$API_ID" \
  --resource-id "$ORDERS_ID" \
  --http-method POST \
  --status-code 200 \
  --response-templates file:///tmp/int_resp_tpl.json \
  --query 'statusCode' --output text

# Deploy to dev
aws --endpoint-url=$EP apigateway create-deployment \
  --rest-api-id "$API_ID" \
  --stage-name dev \
  --query 'id' --output text
output
200
{"application/json":"{\"ok\":true}"}
200
aommqnw6zi

[stdout]
200
{"application/json":"{\"ok\":true}"}
200
aommqnw6zi
  • Create DDB orders table
  • Create FIFO queues with redrive
  • Create apigw-to-sqs role + policy
  • Add DDB+SQS perms to consumer lambda role
  • Fix lambda handler (idempotency + batchItemFailures)
  • Create event source mapping
  • Build REST API with SQS direct integration
  • Deploy stage dev and verify end-to-end
Now end-to-end test from inside the network.

First POST end-to-end

shell
API_ID=$(cat /tmp/api_id)
URL="http://localstack:4566/restapis/${API_ID}/dev/_user_request_/orders"
echo "URL: $URL"

# clear ddb first (in case)
echo "--- POST 1 ---"
curl -sS -o /tmp/r1 -w "HTTP=%{http_code}\n" -X POST "$URL" \
  -H 'Content-Type: application/json' \
  -d '{"order_id":"ord-1","merchant_id":"merch-A","amount":1000}'
cat /tmp/r1; echo
output
URL: http://localstack:4566/restapis/ptk1lkxkxj/dev/_user_request_/orders
--- POST 1 ---
HTTP=200
{"ok":true}

[stdout]
URL: http://localstack:4566/restapis/ptk1lkxkxj/dev/_user_request_/orders
--- POST 1 ---
HTTP=200
{"ok":true}

Verify DDB has the row and queues are clean

shell
EP="http://localstack:4566"
sleep 5
echo "--- DDB scan ---"
aws --endpoint-url=$EP dynamodb scan --table-name orders --query 'Items' --output json
echo "--- main queue depth ---"
MAIN_URL=$(cat /tmp/main_url)
DLQ_URL=$(cat /tmp/dlq_url)
aws --endpoint-url=$EP sqs get-queue-attributes --queue-url "$MAIN_URL" --attribute-names ApproximateNumberOfMessages ApproximateNumberOfMessagesNotVisible --query 'Attributes' --output json
echo "--- dlq depth ---"
aws --endpoint-url=$EP sqs get-queue-attributes --queue-url "$DLQ_URL" --attribute-names ApproximateNumberOfMessages ApproximateNumberOfMessagesNotVisible --query 'Attributes' --output json
output
--- DDB scan ---
[
    {
        "created_at": {
            "N": "1777385707946771757"
        },
        "amount": {
            "N": "1000"
        },
        "merchant_id": {
            "S": "merch-A"
        },
        "order_id": {
            "S": "ord-1"
        }
    }
]
--- main queue depth ---
{
    "ApproximateNumberOfMessages": "0",
    "ApproximateNumberOfMessagesNotVisible": "0"
}
--- dlq depth ---
{
    "ApproximateNumberOfMessages": "0",
    "ApproximateNumberOfMessagesNotVisible": "0"
}

[stdout]
--- DDB scan ---
[
    {
        "created_at": {
            "N": "1777385707946771757"
        },
        "amount": {
            "N": "1000"
        },
        "merchant_id": {
            "S": "merch-A"
        },
        "order_id": {
            "S": "ord-1"
        }
    }
]
--- main queue depth ---
{
    "ApproximateNumberOfMessages": "0",
    "ApproximateNumberOfMessagesNotVisible": "0"
}
--- dlq depth ---
{
    "ApproximateNumberOfMessages": "0",
    "ApproximateNumberOfMessagesNotVisible": "0"
}
Row stored, queues clean. Now duplicate POST + ordering test.

Duplicate POST is no-op at storage

shell
EP="http://localstack:4566"
API_ID=$(cat /tmp/api_id)
URL="http://localstack:4566/restapis/${API_ID}/dev/_user_request_/orders"

echo "--- duplicate POST (same body) ---"
curl -sS -o /tmp/r2 -w "HTTP=%{http_code}\n" -X POST "$URL" \
  -H 'Content-Type: application/json' \
  -d '{"order_id":"ord-1","merchant_id":"merch-A","amount":1000}'
cat /tmp/r2; echo
sleep 5

echo "--- DDB scan ---"
aws --endpoint-url=$EP dynamodb scan --table-name orders --query 'Items' --output json
echo "--- dlq ---"
DLQ_URL=$(cat /tmp/dlq_url)
aws --endpoint-url=$EP sqs get-queue-attributes --queue-url "$DLQ_URL" --attribute-names ApproximateNumberOfMessages ApproximateNumberOfMessagesNotVisible --query 'Attributes' --output json
output
--- duplicate POST (same body) ---
HTTP=200
{"ok":true}
--- DDB scan ---
[
    {
        "created_at": {
            "N": "1777385707946771757"
        },
        "amount": {
            "N": "1000"
        },
        "merchant_id": {
            "S": "merch-A"
        },
        "order_id": {
            "S": "ord-1"
        }
    }
]
--- dlq ---
{
    "ApproximateNumberOfMessages": "0",
    "ApproximateNumberOfMessagesNotVisible": "0"
}

[stdout]
--- duplicate POST (same body) ---
HTTP=200
{"ok":true}
--- DDB scan ---
[
    {
        "created_at": {
            "N": "1777385707946771757"
        },
        "amount": {
            "N": "1000"
        },
        "merchant_id": {
            "S": "merch-A"
        },
        "order_id": {
            "S": "ord-1"
        }
    }
]
--- dlq ---
{
    "ApproximateNumberOfMessages": "0",
    "ApproximateNumberOfMessagesNotVisible": "0"
}
Same `created_at` value preserved , idempotent storage layer. Now ordering test (two distinct order_ids under same merchant).

Order-preservation test for same merchant

shell
EP="http://localstack:4566"
API_ID=$(cat /tmp/api_id)
URL="http://localstack:4566/restapis/${API_ID}/dev/_user_request_/orders"

echo "--- POST ord-2 ---"
curl -sS -o /dev/null -w "HTTP=%{http_code}\n" -X POST "$URL" \
  -H 'Content-Type: application/json' \
  -d '{"order_id":"ord-2","merchant_id":"merch-B","amount":200}'
echo "--- POST ord-3 (~50ms later, same merchant) ---"
sleep 0.05
curl -sS -o /dev/null -w "HTTP=%{http_code}\n" -X POST "$URL" \
  -H 'Content-Type: application/json' \
  -d '{"order_id":"ord-3","merchant_id":"merch-B","amount":300}'

sleep 6
echo "--- DDB ord-2 vs ord-3 created_at ---"
aws --endpoint-url=$EP dynamodb get-item --table-name orders --key '{"order_id":{"S":"ord-2"}}' --query 'Item' --output json
aws --endpoint-url=$EP dynamodb get-item --table-name orders --key '{"order_id":{"S":"ord-3"}}' --query 'Item' --output json
echo "--- dlq ---"
DLQ_URL=$(cat /tmp/dlq_url)
aws --endpoint-url=$EP sqs get-queue-attributes --queue-url "$DLQ_URL" --attribute-names ApproximateNumberOfMessages ApproximateNumberOfMessagesNotVisible --query 'Attributes' --output json
output
--- POST ord-2 ---
HTTP=200
--- POST ord-3 (~50ms later, same merchant) ---
HTTP=200
--- DDB ord-2 vs ord-3 created_at ---
{
    "created_at": {
        "N": "1777385736788329382"
    },
    "amount": {
        "N": "200"
    },
    "merchant_id": {
        "S": "merch-B"
    },
    "order_id": {
        "S": "ord-2"
    }
}
{
    "created_at": {
        "N": "1777385736840786590"
    },
    "amount": {
        "N": "300"
    },
    "merchant_id": {
        "S": "merch-B"
    },
    "order_id": {
        "S": "ord-3"
    }
}
--- dlq ---
{
    "ApproximateNumberOfMessages": "0",
    "ApproximateNumberOfMessagesNotVisible": "0"
}

[stdout]
--- POST ord-2 ---
HTTP=200
--- POST ord-3 (~50ms later, same merchant) ---
HTTP=200
--- DDB ord-2 vs ord-3 created_at ---
{
    "created_at": {
        "N": "1777385736788329382"
    },
    "amount": {
        "N": "200"
    },
    "merchant_id": {
        "S": "merch-B"
    },
    "order_id": {
        "S": "ord-2"
    }
}
{
    "created_at": {
        "N": "1777385736840786590"
    },
    "amount": {
        "N": "300"
    },
    "merchant_id": {
        "S": "merch-B"
    },
    "order_id": {
        "S": "ord-3"
    }
}
--- dlq ---
{
    "ApproximateNumberOfMessages": "0",
    "ApproximateNumberOfMessagesNotVisible": "0"
}
`ord-2.created_at < ord-3.created_at` (1777385736788329382 < 1777385736840786590) , FIFO order preserved into the table. DLQ empty.
  • Create DDB orders table
  • Create FIFO queues with redrive
  • Create apigw-to-sqs role + policy
  • Add DDB+SQS perms to consumer lambda role
  • Fix lambda handler (idempotency + batchItemFailures)
  • Create event source mapping
  • Build REST API with SQS direct integration
  • Deploy stage dev and verify end-to-end
All wired and verified. Summary: - **Infra**: DDB `orders` (pk `order_id` String); FIFO `orders.fifo` with redrive (maxReceiveCount=3) → `orders-dlq.fifo`; both with `ContentBasedDeduplication=false`. - **IAM**: `apigw-to-sqs-role` granted `sqs:SendMessage/GetQueueUrl/GetQueueAttributes` on the main queue. `orders-consumer-role` (pre-seeded) augmented with `dynamodb:PutItem` on `orders` and `sqs:ReceiveMessage/DeleteMessage/GetQueueAttributes/ChangeMessageVisibility` on the main queue (basic-execution role stays attached for logs). - **REST API** `orders-api`: `/orders` POST → AWS-service integration (not proxy) targeting `arn:aws:apigateway:us-east-1:sqs:path/000000000000/orders.fifo`, credentials = apigw role, header `Content-Type: application/x-www-form-urlencoded`, mapping template emits `Action=SendMessage&MessageBody=...&MessageGroupId=$merchant_id&MessageDeduplicationId=$order_id`. Method/integration responses return `{"ok":true}` 200. Deployed to stage `dev`. - **Event source mapping** main queue → `orders-consumer`, `FunctionResponseTypes=ReportBatchItemFailures`. - **Lambda fix** (`/app/build/handler.py`): idempotent via `ConditionExpression="attribute_not_exists(order_id)"` (swallows `ConditionalCheckFailedException`); returns `{"batchItemFailures":[{"itemIdentifier":...}]}`; uses `time.time_ns()` for sub-ms `created_at` so FIFO order survives in the table. End-to-end checks: first POST → 200 + 1 row, dup POST → 200 + same row unchanged, two same-merchant orders → both stored with strictly increasing `created_at`, DLQ empty throughout.
Final diff , what the agent changed

No file changes, the agent left the workspace untouched.

Verifier output , the proof behind the reward
tests/test.sh
============================= test session starts ==============================
platform linux -- Python 3.12.3, pytest-8.4.1, pluggy-1.6.0 -- /root/.cache/uv/archive-v0/jcx4VISbXPapl7YV9a_4E/bin/python
cachedir: .pytest_cache
rootdir: /tests
plugins: json-ctrf-0.3.5
collecting ... collected 19 items

../tests/test_outputs.py::test_localstack_reachable PASSED               [  5%]
../tests/test_outputs.py::test_main_fifo_queue_exists PASSED             [ 10%]
../tests/test_outputs.py::test_dlq_fifo_queue_exists PASSED              [ 15%]
../tests/test_outputs.py::test_ddb_table_exists PASSED                   [ 21%]
../tests/test_outputs.py::test_lambda_and_esm_exist PASSED               [ 26%]
../tests/test_outputs.py::test_rest_api_exists_with_post_orders PASSED   [ 31%]
../tests/test_outputs.py::test_integration_uri_targets_fifo_queue PASSED [ 36%]
../tests/test_outputs.py::test_integration_credentials_role_is_set PASSED [ 42%]
../tests/test_outputs.py::test_integration_sets_content_type_header PASSED [ 47%]
../tests/test_outputs.py::test_integration_request_template_uses_full_body PASSED [ 52%]
../tests/test_outputs.py::test_integration_request_template_has_message_group_id PASSED [ 57%]
../tests/test_outputs.py::test_integration_request_template_has_dedup_id PASSED [ 63%]
../tests/test_outputs.py::test_integration_template_identifiers_are_request_derived PASSED [ 68%]
../tests/test_outputs.py::test_stage_deployment_id_was_refreshed FAILED  [ 73%]
../tests/test_outputs.py::test_event_source_mapping_declares_report_batch_item_failures PASSED [ 78%]
../tests/test_outputs.py::test_lambda_handler_idempotency_and_response_shape PASSED [ 84%]
../tests/test_outputs.py::test_end_to_end_post_reaches_ddb_no_dlq PASSED [ 89%]
../tests/test_outputs.py::test_end_to_end_fifo_group_ordering PASSED     [ 94%]
../tests/test_outputs.py::test_end_to_end_duplicate_post_is_idempotent PASSED [100%]

=================================== FAILURES ===================================
____________________ test_stage_deployment_id_was_refreshed ____________________

apigw = <botocore.client.APIGateway object at 0xffffad6bb020>

    def test_stage_deployment_id_was_refreshed(apigw):
        """Stage redeployed after edit."""
        api_id = _find_api(apigw)
        stage = apigw.get_stage(restApiId=api_id, stageName=STAGE_NAME)
        current_dep_id = stage.get("deploymentId")
        assert current_dep_id, f"stage {STAGE_NAME} has no deploymentId"
        deployments = sorted(
            apigw.get_deployments(restApiId=api_id).get("items", []),
            key=lambda d: d.get("createdDate") or "",
        )
>       assert len(deployments) >= 2, (
            f"stage {STAGE_NAME} has only {len(deployments)} deployment(s); "
            f"editing an integration without calling create-deployment is "
            f"the #1 silent failure mode for this task , API Gateway keeps "
            f"serving the old snapshot. Deployments: {deployments!r}"
        )
E       AssertionError: stage dev has only 1 deployment(s); editing an integration without calling create-deployment is the #1 silent failure mode for this task , API Gateway keeps serving the old snapshot. Deployments: [{'id': 'aommqnw6zi', 'createdDate': datetime.datetime(2026, 4, 28, 14, 14, 49, tzinfo=tzlocal())}]
E       assert 1 >= 2
E        +  where 1 = len([{'createdDate': datetime.datetime(2026, 4, 28, 14, 14, 49, tzinfo=tzlocal()), 'id': 'aommqnw6zi'}])

/tests/test_outputs.py:350: AssertionError
=============================== warnings summary ===============================
test_outputs.py: 65 warnings
  /root/.cache/uv/archive-v0/jcx4VISbXPapl7YV9a_4E/lib/python3.12/site-packages/botocore/auth.py:424: DeprecationWarning: datetime.datetime.utcnow() is deprecated and scheduled for removal in a future version. Use timezone-aware objects to represent datetimes in UTC: datetime.datetime.now(datetime.UTC).
    datetime_now = datetime.datetime.utcnow()

-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
==================================== PASSES ====================================
=========================== short test summary info ============================
PASSED ../tests/test_outputs.py::test_localstack_reachable
PASSED ../tests/test_outputs.py::test_main_fifo_queue_exists
PASSED ../tests/test_outputs.py::test_dlq_fifo_queue_exists
PASSED ../tests/test_outputs.py::test_ddb_table_exists
PASSED ../tests/test_outputs.py::test_lambda_and_esm_exist
PASSED ../tests/test_outputs.py::test_rest_api_exists_with_post_orders
PASSED ../tests/test_outputs.py::test_integration_uri_targets_fifo_queue
PASSED ../tests/test_outputs.py::test_integration_credentials_role_is_set
PASSED ../tests/test_outputs.py::test_integration_sets_content_type_header
PASSED ../tests/test_outputs.py::test_integration_request_template_uses_full_body
PASSED ../tests/test_outputs.py::test_integration_request_template_has_message_group_id
PASSED ../tests/test_outputs.py::test_integration_request_template_has_dedup_id
PASSED ../tests/test_outputs.py::test_integration_template_identifiers_are_request_derived
PASSED ../tests/test_outputs.py::test_event_source_mapping_declares_report_batch_item_failures
PASSED ../tests/test_outputs.py::test_lambda_handler_idempotency_and_response_shape
PASSED ../tests/test_outputs.py::test_end_to_end_post_reaches_ddb_no_dlq
PASSED ../tests/test_outputs.py::test_end_to_end_fifo_group_ordering
PASSED ../tests/test_outputs.py::test_end_to_end_duplicate_post_is_idempotent
FAILED ../tests/test_outputs.py::test_stage_deployment_id_was_refreshed - Ass...
================== 1 failed, 18 passed, 65 warnings in 24.79s ==================

Reproduce this trial: git checkout 2f94510 && PYTHONPATH=src python3 scripts/build_site.py , then open trial/trial_77cec19df4804ba8. Re-running the agent live requires EVAL_PLATFORM_ENABLE_OAUTH_SMOKE=1 and is non-deterministic.

Trial trial_77cec19df4804ba8 · verifier authoritative; classifier explanatory.