SyncVals · Trajectory

apigw-sqs-fifo-direct-integration

claude-code claude-opus-4-7 ✗ failed HARNESS_ERROR ↑ View task

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Trajectory

Tool-by-tool agent trajectory

19 tool calls · 3 tool types · 28 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

shell

ls /app/

output

setup.sh
starter

[stdout]
setup.sh
starter

Inspect setup and starter

shell

cat /app/setup.sh; echo "---"; ls /app/starter/

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"
---
setup.sh

[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"
---
setup.sh

I'll plan the build and execute it. The shape: 1. Fix lambda handler (batchItemFailures + idempotent put) 2. Add IAM policies to consumer role (ddb:PutItem, sqs receive/delete/getattributes) 3. Create DDB table, DLQ, main FIFO with redrive, ESM 4. Create apigw→sqs role + REST API + resource + POST method + AWS-direct integration + deployment Let me check localstack first.

Check localstack and existing lambda

shell

curl -s http://localstack:4566/_localstack/health | head -c 800; echo; aws lambda get-function --function-name orders-consumer --query 'Configuration.{Role:Role,Handler:Handler,State:State}' 2>&1 | head -20

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", "scheduler": "disabled", "secretsmanager": "disabled", "ses": "disabled", "sns": "disabled", "sqs": "available", "ssm": "disabled", "stepfunctions": "disabled", "sts": "running", "support": "disabled", 
{
    "Role": "arn:aws:iam::000000000000:role/orders-consumer-role",
    "Handler": "handler.lambda_handler",
    "State": "Active"
}

[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", "scheduler": "disabled", "secretsmanager": "disabled", "ses": "disabled", "sns": "disabled", "sqs": "available", "ssm": "disabled", "stepfunctions": "disabled", "sts": "running", "support": "disabled", 
{
    "Role": "arn:aws:iam::000000000000:role/orders-consumer-role",
    "Handler": "handler.lambda_handler",
    "State": "Active"
}

Now let me build everything. I'll start with creating queues, table, IAM policies in parallel where possible.

Create DDB table and FIFO queues with redrive

shell

set -e
ACCOUNT_ID=000000000000
REGION=us-east-1

# 1) Create DDB table 'orders' with order_id as partition key (String)
aws 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 >/dev/null
echo "DDB table created"

# 2) Create DLQ FIFO
DLQ_URL=$(aws sqs create-queue \
  --queue-name orders-dlq.fifo \
  --attributes '{"FifoQueue":"true","ContentBasedDeduplication":"false"}' \
  --query QueueUrl --output text)
DLQ_ARN=$(aws sqs get-queue-attributes --queue-url "$DLQ_URL" --attribute-names QueueArn --query Attributes.QueueArn --output text)
echo "DLQ: $DLQ_URL ARN=$DLQ_ARN"

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

# Save for later
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

DDB table created
DLQ: http://sqs.us-east-1.localhost.localstack.cloud:4566/000000000000/orders-dlq.fifo ARN=arn:aws:sqs:us-east-1:000000000000:orders-dlq.fifo
Main: http://sqs.us-east-1.localhost.localstack.cloud:4566/000000000000/orders.fifo ARN=arn:aws:sqs:us-east-1:000000000000:orders.fifo

[stdout]
DDB table created
DLQ: http://sqs.us-east-1.localhost.localstack.cloud:4566/000000000000/orders-dlq.fifo ARN=arn:aws:sqs:us-east-1:000000000000:orders-dlq.fifo
Main: http://sqs.us-east-1.localhost.localstack.cloud:4566/000000000000/orders.fifo ARN=arn:aws:sqs:us-east-1:000000000000:orders.fifo

Attach inline policy to consumer lambda role

shell

set -e
# Add inline policy to the consumer-lambda role for the actions it needs
POLICY=$(cat <<'JSON'
{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": [
        "sqs:ReceiveMessage",
        "sqs:DeleteMessage",
        "sqs:GetQueueAttributes",
        "sqs:ChangeMessageVisibility"
      ],
      "Resource": "arn:aws:sqs:us-east-1:000000000000:orders.fifo"
    },
    {
      "Effect": "Allow",
      "Action": [
        "dynamodb:PutItem",
        "dynamodb:GetItem",
        "dynamodb:UpdateItem",
        "dynamodb:DescribeTable"
      ],
      "Resource": "arn:aws:dynamodb:us-east-1:000000000000:table/orders"
    }
  ]
}
JSON
)
aws iam put-role-policy \
  --role-name orders-consumer-role \
  --policy-name orders-consumer-inline \
  --policy-document "$POLICY"
echo "consumer role policy attached"

output

consumer role policy attached

[stdout]
consumer role policy attached

Now fix the lambda handler , proper batchItemFailures shape and idempotent put with ConditionExpression.

Update lambda code with fixed handler

shell

set -e
WORK=$(mktemp -d)
cat > "$WORK/handler.py" <<'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["Error"]["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}
PY
(cd "$WORK" && zip -q handler.zip handler.py)

aws lambda update-function-code \
  --function-name orders-consumer \
  --zip-file "fileb://$WORK/handler.zip" >/dev/null

# Wait for update to settle
for _ in $(seq 1 30); do
  STATUS=$(aws lambda get-function --function-name orders-consumer --query 'Configuration.LastUpdateStatus' --output text 2>/dev/null || echo "InProgress")
  [ "$STATUS" = "Successful" ] && break
  sleep 1
done
echo "lambda updated, LastUpdateStatus=$STATUS"

output

lambda updated, LastUpdateStatus=Successful

[stdout]
lambda updated, LastUpdateStatus=Successful

Create event source mapping

shell

set -e
MAIN_ARN=$(cat /tmp/main_arn)

# Create event source mapping with ReportBatchItemFailures
aws lambda create-event-source-mapping \
  --function-name orders-consumer \
  --event-source-arn "$MAIN_ARN" \
  --batch-size 10 \
  --function-response-types ReportBatchItemFailures \
  --query '{UUID:UUID,State:State}' >/dev/null

# Wait until enabled
for _ in $(seq 1 30); do
  STATE=$(aws lambda list-event-source-mappings --function-name orders-consumer \
    --query 'EventSourceMappings[0].State' --output text 2>/dev/null || echo "Creating")
  [ "$STATE" = "Enabled" ] && break
  sleep 1
done
echo "ESM state=$STATE"

output

ESM state=Enabled

[stdout]
ESM state=Enabled

ToolSearch

{
  "query": "select:TodoWrite",
  "max_results": 1
}

, output, 
{"type": "tool_reference", "tool_name": "TodoWrite"}

Fix lambda handler + role permissions
Create DDB, FIFO queues with redrive, ESM
Create apigw->sqs role with SendMessage policy
Create REST API + /orders + POST + AWS direct integration
Deploy to stage dev
End-to-end verify

Create apigw->sqs role with SendMessage

shell

set -e
TRUST=$(cat <<'JSON'
{
  "Version": "2012-10-17",
  "Statement": [
    {"Effect":"Allow","Principal":{"Service":"apigateway.amazonaws.com"},"Action":"sts:AssumeRole"}
  ]
}
JSON
)
aws iam create-role --role-name apigw-to-sqs-role --assume-role-policy-document "$TRUST" >/dev/null

POLICY=$(cat <<'JSON'
{
  "Version": "2012-10-17",
  "Statement": [
    {"Effect":"Allow","Action":["sqs:SendMessage","sqs:GetQueueUrl"],"Resource":"arn:aws:sqs:us-east-1:000000000000:orders.fifo"}
  ]
}
JSON
)
aws iam put-role-policy --role-name apigw-to-sqs-role --policy-name apigw-to-sqs-inline --policy-document "$POLICY"
APIGW_ROLE_ARN=$(aws iam get-role --role-name apigw-to-sqs-role --query 'Role.Arn' --output text)
echo "$APIGW_ROLE_ARN" > /tmp/apigw_role_arn
echo "apigw role arn=$APIGW_ROLE_ARN"

output

apigw role arn=arn:aws:iam::000000000000:role/apigw-to-sqs-role

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

Create REST API, /orders, POST, AWS direct integration to SQS, deploy to dev

shell

set -e
APIGW_ROLE_ARN=$(cat /tmp/apigw_role_arn)

# Create REST API
API_ID=$(aws apigateway create-rest-api --name orders-api --query id --output text)
echo "$API_ID" > /tmp/api_id
echo "api_id=$API_ID"

# Get root resource
ROOT_ID=$(aws apigateway get-resources --rest-api-id "$API_ID" --query 'items[0].id' --output text)

# Create /orders resource
ORDERS_ID=$(aws apigateway create-resource --rest-api-id "$API_ID" --parent-id "$ROOT_ID" --path-part orders --query id --output text)
echo "orders_id=$ORDERS_ID"

# POST method
aws apigateway put-method \
  --rest-api-id "$API_ID" \
  --resource-id "$ORDERS_ID" \
  --http-method POST \
  --authorization-type NONE >/dev/null

# Integration: AWS direct service to SQS
TEMPLATE='Action=SendMessage&MessageGroupId=$util.urlEncode($input.path('"'"'$.merchant_id'"'"'))&MessageDeduplicationId=$util.urlEncode($input.path('"'"'$.order_id'"'"'))&MessageBody=$util.urlEncode($input.body)'

REQ_TEMPLATES=$(jq -n --arg t "$TEMPLATE" '{"application/json": $t}')

aws apigateway put-integration \
  --rest-api-id "$API_ID" \
  --resource-id "$ORDERS_ID" \
  --http-method POST \
  --type AWS \
  --integration-http-method POST \
  --uri "arn:aws:apigateway:us-east-1:sqs:path/000000000000/orders.fifo" \
  --credentials "$APIGW_ROLE_ARN" \
  --request-parameters '{"integration.request.header.Content-Type":"'"'"'application/x-www-form-urlencoded'"'"'"}' \
  --request-templates "$REQ_TEMPLATES" \
  --passthrough-behavior NEVER >/dev/null

# Method response 200
aws apigateway put-method-response \
  --rest-api-id "$API_ID" \
  --resource-id "$ORDERS_ID" \
  --http-method POST \
  --status-code 200 \
  --response-models '{"application/json":"Empty"}' >/dev/null

# Integration response 200
aws apigateway put-integration-response \
  --rest-api-id "$API_ID" \
  --resource-id "$ORDERS_ID" \
  --http-method POST \
  --status-code 200 \
  --selection-pattern "" \
  --response-templates '{"application/json":"{\"ok\":true}"}' >/dev/null

echo "method+integration set"

# Create deployment to stage dev
aws apigateway create-deployment --rest-api-id "$API_ID" --stage-name dev >/dev/null
echo "deployment to dev created"

output

api_id=s0azzwfpvv
orders_id=knldvsj20i
method+integration set
deployment to dev created

[stdout]
api_id=s0azzwfpvv
orders_id=knldvsj20i
method+integration set
deployment to dev created

Fix lambda handler + role permissions
Create DDB, FIFO queues with redrive, ESM
Create apigw->sqs role with SendMessage policy
Create REST API + /orders + POST + AWS direct integration
Deploy to stage dev
End-to-end verify

Test single POST

shell

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

BODY='{"order_id":"o-1","merchant_id":"m-1","amount":1000}'
echo "POST 1:"
curl -s -o /tmp/resp1.txt -w "HTTP %{http_code}\n" -X POST -H "Content-Type: application/json" "$URL" -d "$BODY"
cat /tmp/resp1.txt; echo

sleep 5

echo "DDB scan:"
aws dynamodb scan --table-name orders --query 'Items' --output json

echo "DLQ messages:"
aws sqs get-queue-attributes --queue-url "$(cat /tmp/dlq_url)" --attribute-names ApproximateNumberOfMessages --query 'Attributes' --output json

output

URL=http://localstack:4566/restapis/s0azzwfpvv/dev/_user_request_/orders
POST 1:
HTTP 200
{"ok":true}
DDB scan:
[]
DLQ messages:
{
    "ApproximateNumberOfMessages": "0"
}

[stdout]
URL=http://localstack:4566/restapis/s0azzwfpvv/dev/_user_request_/orders
POST 1:
HTTP 200
{"ok":true}
DDB scan:
[]
DLQ messages:
{
    "ApproximateNumberOfMessages": "0"
}

Got 200, but DDB is empty after 5s , let me check what's happening.

Inspect queue, ESM, lambda logs

shell

echo "Main queue attrs:"
aws sqs get-queue-attributes --queue-url "$(cat /tmp/main_url)" --attribute-names All --query 'Attributes' --output json | head -50

echo
echo "ESM:"
aws lambda list-event-source-mappings --function-name orders-consumer --query 'EventSourceMappings[].{State:State,EventSourceArn:EventSourceArn,FunctionResponseTypes:FunctionResponseTypes,LastProcessingResult:LastProcessingResult}' --output json

echo
echo "Lambda log groups:"
aws logs describe-log-groups --log-group-name-prefix /aws/lambda/orders-consumer --query 'logGroups[].logGroupName' --output json
echo
LATEST_STREAM=$(aws logs describe-log-streams --log-group-name /aws/lambda/orders-consumer --order-by LastEventTime --descending --max-items 1 --query 'logStreams[0].logStreamName' --output text 2>/dev/null || echo "none")
echo "stream=$LATEST_STREAM"
if [ "$LATEST_STREAM" != "none" ] && [ "$LATEST_STREAM" != "None" ]; then
  aws logs get-log-events --log-group-name /aws/lambda/orders-consumer --log-stream-name "$LATEST_STREAM" --limit 50 --query 'events[].message' --output text
fi

output

Main queue attrs:
{
    "CreatedTimestamp": "1777385873",
    "DelaySeconds": "0",
    "LastModifiedTimestamp": "1777385873",
    "MaximumMessageSize": "1048576",
    "MessageRetentionPeriod": "345600",
    "QueueArn": "arn:aws:sqs:us-east-1:000000000000:orders.fifo",
    "ReceiveMessageWaitTimeSeconds": "0",
    "VisibilityTimeout": "60",
    "SqsManagedSseEnabled": "true",
    "ContentBasedDeduplication": "false",
    "DeduplicationScope": "queue",
    "FifoThroughputLimit": "perQueue",
    "FifoQueue": "true",
    "RedrivePolicy": "{\"deadLetterTargetArn\":\"arn:aws:sqs:us-east-1:000000000000:orders-dlq.fifo\",\"maxReceiveCount\":\"3\"}",
    "ApproximateNumberOfMessages": "0",
    "ApproximateNumberOfMessagesDelayed": "0",
    "ApproximateNumberOfMessagesNotVisible": "0"
}

ESM:
[
    {
        "State": "Enabled",
        "EventSourceArn": "arn:aws:sqs:us-east-1:000000000000:orders.fifo",
        "FunctionResponseTypes": [
            "ReportBatchItemFailures"
        ],
        "LastProcessingResult": null
    }
]

Lambda log groups:
[
    "/aws/lambda/orders-consumer"
]

stream=2026/04/28/[$LATEST]39de06b88268055b03fd0216cde3a69b
START RequestId: fe1f3483-eef1-45aa-9495-b9988083f9ad Version: $LATEST
	END RequestId: fe1f3483-eef1-45aa-9495-b9988083f9ad
	REPORT RequestId: fe1f3483-eef1-45aa-9495-b9988083f9ad	Duration: 119.10 ms	Billed Duration: 120 ms	Memory Size: 512 MB	Max Memory Used: 512 MB

[stdout]
Main queue attrs:
{
    "CreatedTimestamp": "1777385873",
    "DelaySeconds": "0",
    "LastModifiedTimestamp": "1777385873",
    "MaximumMessageSize": "1048576",
    "MessageRetentionPeriod": "345600",
    "QueueArn": "arn:aws:sqs:us-east-1:000000000000:orders.fifo",
    "ReceiveMessageWaitTimeSeconds": "0",
    "VisibilityTimeout": "60",
    "SqsManagedSseEnabled": "true",
    "ContentBasedDeduplication": "false",
    "DeduplicationScope": "queue",
    "FifoThroughputLimit": "perQueue",
    "FifoQueue": "true",
    "RedrivePolicy": "{\"deadLetterTargetArn\":\"arn:aws:sqs:us-east-1:000000000000:orders-dlq.fifo\",\"maxReceiveCount\":\"3\"}",
    "ApproximateNumberOfMessages": "0",
    "ApproximateNumberOfMessagesDelayed": "0",
    "ApproximateNumberOfMessagesNotVisible": "0"
}

ESM:
[
    {
        "State": "Enabled",
        "EventSourceArn": "arn:aws:sqs:us-east-1:000000000000:orders.fifo",
        "FunctionResponseTypes": [
            "ReportBatchItemFailures"
        ],
        "LastProcessingResult": null
    }
]

Lambda log groups:
[
    "/aws/lambda/orders-consumer"
]

stream=2026/04/28/[$LATEST]39de06b88268055b03fd0216cde3a69b
START RequestId: fe1f3483-eef1-45aa-9495-b9988083f9ad Version: $LATEST
	END RequestId: fe1f3483-eef1-45aa-9495-b9988083f9ad
	REPORT RequestId: fe1f3483-eef1-45aa-9495-b9988083f9ad	Duration: 119.10 ms	Billed Duration: 120 ms	Memory Size: 512 MB	Max Memory Used: 512 MB

Lambda ran but no record was logged. Let me add temporary logging to see what's in the event.

Add logging and re-test

shell

set -e
WORK=$(mktemp -d)
cat > "$WORK/handler.py" <<'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):
    print(f"[record-body] {record.get('body')}")
    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["Error"]["Code"] == "ConditionalCheckFailedException":
            return
        raise


def lambda_handler(event, context):
    print(f"[event-keys] {list(event.keys())} num_records={len(event.get('Records', []))}")
    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}
PY
(cd "$WORK" && zip -q handler.zip handler.py)
aws lambda update-function-code --function-name orders-consumer --zip-file "fileb://$WORK/handler.zip" >/dev/null
for _ in $(seq 1 30); do
  S=$(aws lambda get-function --function-name orders-consumer --query 'Configuration.LastUpdateStatus' --output text); [ "$S" = "Successful" ] && break; sleep 1
done
echo "lambda updated"

# POST again with new order_id
API_ID=$(cat /tmp/api_id)
URL="http://localstack:4566/restapis/${API_ID}/dev/_user_request_/orders"
BODY='{"order_id":"o-2","merchant_id":"m-1","amount":2000}'
curl -s -o /tmp/resp.txt -w "HTTP %{http_code}\n" -X POST -H "Content-Type: application/json" "$URL" -d "$BODY"
cat /tmp/resp.txt; echo

sleep 6

LATEST_STREAM=$(aws logs describe-log-streams --log-group-name /aws/lambda/orders-consumer --order-by LastEventTime --descending --max-items 1 --query 'logStreams[0].logStreamName' --output text)
aws logs get-log-events --log-group-name /aws/lambda/orders-consumer --log-stream-name "$LATEST_STREAM" --limit 100 --query 'events[].message' --output text
echo
echo "DDB:"
aws dynamodb scan --table-name orders --query 'Items' --output json

output

lambda updated
HTTP 200
{"ok":true}

aws: [ERROR]: An error occurred (ResourceNotFoundException) when calling the GetLogEvents operation: The specified log stream does not exist.

DDB:
[
    {
        "created_at": {
            "N": "1777385957161095178"
        },
        "amount": {
            "N": "1000"
        },
        "merchant_id": {
            "S": "m-1"
        },
        "order_id": {
            "S": "o-1"
        }
    },
    {
        "created_at": {
            "N": "1777385995624720043"
        },
        "amount": {
            "N": "2000"
        },
        "merchant_id": {
            "S": "m-1"
        },
        "order_id": {
            "S": "o-2"
        }
    }
]

[stdout]
lambda updated
HTTP 200
{"ok":true}

aws: [ERROR]: An error occurred (ResourceNotFoundException) when calling the GetLogEvents operation: The specified log stream does not exist.

DDB:
[
    {
        "created_at": {
            "N": "1777385957161095178"
        },
        "amount": {
            "N": "1000"
        },
        "merchant_id": {
            "S": "m-1"
        },
        "order_id": {
            "S": "o-1"
        }
    },
    {
        "created_at": {
            "N": "1777385995624720043"
        },
        "amount": {
            "N": "2000"
        },
        "merchant_id": {
            "S": "m-1"
        },
        "order_id": {
            "S": "o-2"
        }
    }
]

It actually worked , my earlier scan was too soon. Let me remove debug logs and run the full verification.

Strip debug logs, reset state for verification

shell

set -e
WORK=$(mktemp -d)
cat > "$WORK/handler.py" <<'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["Error"]["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}
PY
(cd "$WORK" && zip -q handler.zip handler.py)
aws lambda update-function-code --function-name orders-consumer --zip-file "fileb://$WORK/handler.zip" >/dev/null
for _ in $(seq 1 30); do
  S=$(aws lambda get-function --function-name orders-consumer --query 'Configuration.LastUpdateStatus' --output text); [ "$S" = "Successful" ] && break; sleep 1
done

# Clean DDB and queues for a clean verification
aws dynamodb delete-table --table-name orders >/dev/null
for _ in $(seq 1 30); do
  aws dynamodb describe-table --table-name orders >/dev/null 2>&1 || break
  sleep 1
done
aws 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 >/dev/null
for _ in $(seq 1 30); do
  STATUS=$(aws dynamodb describe-table --table-name orders --query 'Table.TableStatus' --output text 2>/dev/null || echo "CREATING")
  [ "$STATUS" = "ACTIVE" ] && break
  sleep 1
done
echo "DDB reset"

aws sqs purge-queue --queue-url "$(cat /tmp/main_url)" 2>/dev/null || true
aws sqs purge-queue --queue-url "$(cat /tmp/dlq_url)" 2>/dev/null || true
echo "queues purged"

output

DDB reset
queues purged

[stdout]
DDB reset
queues purged

Verify single POST + duplicate POST is no-op

shell

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

echo "===== POST 1: o-1 / m-1 / 1000 ====="
curl -s -o /tmp/r.txt -w "HTTP %{http_code}\n" -X POST -H "Content-Type: application/json" "$URL" -d '{"order_id":"o-1","merchant_id":"m-1","amount":1000}'
cat /tmp/r.txt; echo

echo "===== POST 2 (duplicate of 1) ====="
sleep 8
curl -s -o /tmp/r.txt -w "HTTP %{http_code}\n" -X POST -H "Content-Type: application/json" "$URL" -d '{"order_id":"o-1","merchant_id":"m-1","amount":9999}'
cat /tmp/r.txt; echo

sleep 8
echo "===== After duplicate POST ====="
echo "DDB rows:"
aws dynamodb scan --table-name orders --query 'Items' --output json
echo
echo "Item count:"
aws dynamodb scan --table-name orders --query 'Count' --output text
echo "DLQ count:"
aws sqs get-queue-attributes --queue-url "$(cat /tmp/dlq_url)" --attribute-names ApproximateNumberOfMessages --query 'Attributes.ApproximateNumberOfMessages' --output text

output

===== POST 1: o-1 / m-1 / 1000 =====
HTTP 200
{"ok":true}
===== POST 2 (duplicate of 1) =====
HTTP 200
{"ok":true}
===== After duplicate POST =====
DDB rows:
[
    {
        "created_at": {
            "N": "1777386037940736257"
        },
        "amount": {
            "N": "1000"
        },
        "merchant_id": {
            "S": "m-1"
        },
        "order_id": {
            "S": "o-1"
        }
    }
]

Item count:
1
DLQ count:
0

[stdout]
===== POST 1: o-1 / m-1 / 1000 =====
HTTP 200
{"ok":true}
===== POST 2 (duplicate of 1) =====
HTTP 200
{"ok":true}
===== After duplicate POST =====
DDB rows:
[
    {
        "created_at": {
            "N": "1777386037940736257"
        },
        "amount": {
            "N": "1000"
        },
        "merchant_id": {
            "S": "m-1"
        },
        "order_id": {
            "S": "o-1"
        }
    }
]

Item count:
1
DLQ count:
0

Now verify ordering for two different orders under same merchant.

Verify two orders same merchant ordering

shell

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

echo "===== POST o-A (m-2) then o-B (m-2) ====="
curl -s -o /dev/null -w "POST A HTTP %{http_code}\n" -X POST -H "Content-Type: application/json" "$URL" -d '{"order_id":"o-A","merchant_id":"m-2","amount":111}'
sleep 1
curl -s -o /dev/null -w "POST B HTTP %{http_code}\n" -X POST -H "Content-Type: application/json" "$URL" -d '{"order_id":"o-B","merchant_id":"m-2","amount":222}'

sleep 8
echo
echo "===== Final state ====="
aws dynamodb scan --table-name orders --query 'Items' --output json
echo
echo "Item count: $(aws dynamodb scan --table-name orders --query 'Count' --output text)"
echo "DLQ count: $(aws sqs get-queue-attributes --queue-url "$(cat /tmp/dlq_url)" --attribute-names ApproximateNumberOfMessages --query 'Attributes.ApproximateNumberOfMessages' --output text)"

echo
echo "===== Order check (m-2): o-A timestamp < o-B timestamp ====="
A_TS=$(aws dynamodb get-item --table-name orders --key '{"order_id":{"S":"o-A"}}' --query 'Item.created_at.N' --output text)
B_TS=$(aws dynamodb get-item --table-name orders --key '{"order_id":{"S":"o-B"}}' --query 'Item.created_at.N' --output text)
echo "A=$A_TS  B=$B_TS"
[ "$A_TS" -lt "$B_TS" ] && echo "ORDER OK" || echo "ORDER WRONG"

output

===== POST o-A (m-2) then o-B (m-2) =====
POST A HTTP 200
POST B HTTP 200

===== Final state =====
[
    {
        "created_at": {
            "N": "1777386037940736257"
        },
        "amount": {
            "N": "1000"
        },
        "merchant_id": {
            "S": "m-1"
        },
        "order_id": {
            "S": "o-1"
        }
    },
    {
        "created_at": {
            "N": "1777386058055144377"
        },
        "amount": {
            "N": "111"
        },
        "merchant_id": {
            "S": "m-2"
        },
        "order_id": {
            "S": "o-A"
        }
    },
    {
        "created_at": {
            "N": "1777386060291348420"
        },
        "amount": {
            "N": "222"
        },
        "merchant_id": {
            "S": "m-2"
        },
        "order_id": {
            "S": "o-B"
        }
    }
]

Item count: 3
DLQ count: 0

===== Order check (m-2): o-A timestamp < o-B timestamp =====
A=1777386058055144377  B=1777386060291348420
ORDER OK

[stdout]
===== POST o-A (m-2) then o-B (m-2) =====
POST A HTTP 200
POST B HTTP 200

===== Final state =====
[
    {
        "created_at": {
            "N": "1777386037940736257"
        },
        "amount": {
            "N": "1000"
        },
        "merchant_id": {
            "S": "m-1"
        },
        "order_id": {
            "S": "o-1"
        }
    },
    {
        "created_at": {
            "N": "1777386058055144377"
        },
        "amount": {
            "N": "111"
        },
        "merchant_id": {
            "S": "m-2"
        },
        "order_id": {
            "S": "o-A"
        }
    },
    {
        "created_at": {
            "N": "1777386060291348420"
        },
        "amount": {
            "N": "222"
        },
        "merchant_id": {
            "S": "m-2"
        },
        "order_id": {
            "S": "o-B"
        }
    }
]

Item count: 3
DLQ count: 0

===== Order check (m-2): o-A timestamp < o-B timestamp =====
A=1777386058055144377  B=1777386060291348420
ORDER OK

Fix lambda handler + role permissions
Create DDB, FIFO queues with redrive, ESM
Create apigw->sqs role with SendMessage policy
Create REST API + /orders + POST + AWS direct integration
Deploy to stage dev
End-to-end verify

All checks pass. Final deployment is live and verified. **Built:** - DDB table `orders` (pk `order_id` String) - FIFO `orders-dlq.fifo` and `orders.fifo` with redrive (maxReceive=3) - `orders-consumer-role` extended with `dynamodb:PutItem`/`GetItem`/`UpdateItem`/`DescribeTable` and `sqs:ReceiveMessage`/`DeleteMessage`/`GetQueueAttributes`/`ChangeMessageVisibility` - Consumer lambda handler rewritten , returns `{batchItemFailures:[...]}` for partial failures and uses a `ConditionExpression="attribute_not_exists(order_id)"` PutItem so duplicates are storage-layer no-ops - ESM main-queue → lambda with `ReportBatchItemFailures` - `apigw-to-sqs-role` with `sqs:SendMessage` - REST API `orders-api`, `/orders`, `POST`, AWS-direct (not proxy) integration to SQS using a mapping template that sets `MessageGroupId=merchant_id`, `MessageDeduplicationId=order_id`, `MessageBody=$input.body` - Deployment to stage `dev` **Verified:** - Single POST → HTTP 200, one row in `orders` - Duplicate POST → HTTP 200, row unchanged (still amount=1000) - Two different orders under same merchant → `o-A.created_at < o-B.created_at` preserved - 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-v0/2jXQG8EcnfZm_7qi3V08x/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 0xffff814355e0>

    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': 'z4loork7qu', 'createdDate': datetime.datetime(2026, 4, 28, 14, 18, 57, tzinfo=tzlocal())}]
E       assert 1 >= 2
E        +  where 1 = len([{'createdDate': datetime.datetime(2026, 4, 28, 14, 18, 57, tzinfo=tzlocal()), 'id': 'z4loork7qu'}])

/tests/test_outputs.py:350: AssertionError
=============================== warnings summary ===============================
test_outputs.py: 66 warnings
  /root/.cache/uv/archive-v0/2jXQG8EcnfZm_7qi3V08x/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, 66 warnings in 26.49s ==================

Reproduce this trial: git checkout 2f94510 && PYTHONPATH=src python3 scripts/build_site.py , then open trial/trial_41ac5d621001452a. Re-running the agent live requires EVAL_PLATFORM_ENABLE_OAUTH_SMOKE=1 and is non-deterministic.

Trial trial_41ac5d621001452a · verifier authoritative; classifier explanatory.