SyncVals · Trajectory

s3-lambda-ddb-pipeline

claude-code claude-opus-4-7 ✗ failed BAD_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

BAD_FAILUREThe task is at fault, underspecified/contradictory instruction, brittle/flaky tests, or tests demanding undiscoverable behavior.

SubtypeUnderspecified Instruction

EvidenceTest failure: `test_end_to_end_put_creates_ddb_item` failed because Lambda never wrote item for key `verifier/red flower-266982c010cd46bbb2d6792849b1ff21.bin` (test-stdout.txt:50-54). Agent's Lambda handler extracts key as `s3.get("object", {}).get("key", "")` without URL-decoding. Agent's own e2e test with simple key `test-object-1776922143.txt` worked (trajectory step 14). Task.toml difficulty explanation: "Most failures come from forgetting to URL-decode the S3 event payload's object key (`%20` / `+` for space)." Instruction.md never mentions URL-decoding requirement; it only states Lambda must write attributes including `object_key` (S) , the S3 object key, without clarifying encoding behavior.

Root causeThe instruction.md is underspecified: it does not mention that S3 event object keys are URL-encoded and must be decoded before storing in DynamoDB. The task.toml difficulty explanation itself reveals this is a known failure pattern, not agent error. The agent correctly implemented a working pipeline but did not account for encoded keys because there was no mention of this requirement in the instruction.

RecommendationUpdate instruction.md to explicitly state: 'When extracting the object key from the S3 event, note that S3 sends URL-encoded object keys (e.g., spaces as `%20` or `+`). The key must be URL-decoded before writing to DynamoDB, otherwise keys with spaces or special characters will not match the verifier's queries.' Alternatively, update the difficulty explanation from the .toml into the instruction itself, or add a hint about handling special characters in keys."

Trajectory

Tool-by-tool agent trajectory

9 tool calls · 2 tool types · 13 steps

# S3 -> Lambda -> DynamoDB event pipeline ## Environment - **AWS endpoint:** LocalStack at `http://localstack:4566`. All AWS SDKs and CLIs in this environment already honour the pre-exported `AWS_ENDPOINT_URL=http://localstack:4566`. - **Credentials & region:** `AWS_ACCESS_KEY_ID=test`, `AWS_SECRET_ACCESS_KEY=test`, `AWS_DEFAULT_REGION=us-east-1`. Account ID is `000000000000` (LocalStack's default), which is the value to use when constructing ARNs. - **Installed tools:** `aws` (AWS CLI v2), `awslocal` (pre-configured for LocalStack), `python3`, `boto3`, `curl`, `jq`, `git`, `unzip`, `zip`. A Python venv at `/opt/venv` with `boto3` and `awscli-local` is already on `PATH`. - **Lambda networking:** Lambda functions created in this environment run in Docker containers on the same Compose network as LocalStack and can reach it at `http://localstack:4566`. The function's own `AWS_ENDPOINT_URL` must be set to that value for SDK calls from inside the function to hit LocalStack rather than real AWS. - **Working directory:** `/app`. It is empty , there are no starter files, templates, handlers, hints, or secrets. Everything the pipeline needs must be authored by you. ## Task Build the pipeline described below from scratch and deploy it via **CloudFormation** , the grader rejects solutions built imperatively with the CLI or SDK. The end state must be produced by at least one CloudFormation stack named **`pipeline-stack`** that owns the S3 bucket, the DynamoDB table, and the Lambda function. You are free to split into multiple stacks, add custom resources, choose any logical IDs, and use either `Code.ZipFile` or `Code.S3Bucket` for the Lambda code. ## Required outcome After you finish, the following must all be true in the LocalStack account: 1. A CloudFormation stack named **`pipeline-stack`** exists in `CREATE_COMPLETE` or `UPDATE_COMPLETE` and its stack resources include the S3 bucket `pipeline-source`, the DynamoDB table `pipeline-events`, and the Lambda function `pipeline-processor`. 2. An S3 bucket named **`pipeline-source`** exists. 3. A DynamoDB table named **`pipeline-events`** exists with a single string partition key `object_key`. 4. A Lambda function named **`pipeline-processor`** exists (runtime `python3.11`) and is invoked whenever an object is created in `pipeline-source`. 5. When a new object is put into `pipeline-source`, the Lambda must write one item to `pipeline-events` with these attributes: - `object_key` (S) , the S3 object key - `bucket` (S) , the source bucket name - `size` (N) , the object size in bytes - `event_time` (S) , the S3 event timestamp (non-empty) 6. The Lambda must have permission to be invoked by the S3 service (`Principal: s3.amazonaws.com`) for events from `pipeline-source`. 7. The Lambda execution role must have `dynamodb:PutItem` permission on the `pipeline-events` table. 8. The `pipeline-events` table must be encrypted at rest with a **customer-managed** KMS CMK that is itself created by the `pipeline-stack` CloudFormation stack (not the AWS-managed `alias/aws/dynamodb` key). 9. The Lambda execution role must be able to use that CMK , its policy set must grant `kms:Decrypt` and `kms:GenerateDataKey` on the CMK's ARN (or with `Resource: "*"`). Without these, the Lambda's `PutItem` would fail against an encrypted table even though `dynamodb:PutItem` is granted. ## End-to-end grading The grader uploads a fresh object to `pipeline-source` with a key it chooses, then polls `pipeline-events` for an item whose `object_key` equals that same key. If the item does not appear within a reasonable timeout, the task fails. The grader does not trust any agent-written tests; all assertions run out-of-band against the live LocalStack account.

Check working directory and tool versions

shell

ls -la /app && echo "---" && aws --version && echo "---" && awslocal --version

output

total 8
drwxr-xr-x 2 root root 4096 Apr 21 17:23 .
drwxr-xr-x 1 root root 4096 Apr 23 05:25 ..
---
aws-cli/2.34.33 Python/3.14.4 Linux/6.10.14-linuxkit exe/aarch64.ubuntu.24
---
aws-cli/2.34.33 Python/3.14.4 Linux/6.10.14-linuxkit exe/aarch64.ubuntu.24

[stdout]
total 8
drwxr-xr-x 2 root root 4096 Apr 21 17:23 .
drwxr-xr-x 1 root root 4096 Apr 23 05:25 ..
---
aws-cli/2.34.33 Python/3.14.4 Linux/6.10.14-linuxkit exe/aarch64.ubuntu.24
---
aws-cli/2.34.33 Python/3.14.4 Linux/6.10.14-linuxkit exe/aarch64.ubuntu.24

Check current LocalStack state

shell

awslocal cloudformation describe-stacks --stack-name pipeline-stack 2>&1 | head -20 && echo "---" && awslocal s3 ls 2>&1

output

aws: [ERROR]: An error occurred (ValidationError) when calling the DescribeStacks operation: Stack with id pipeline-stack does not exist
---

[stdout]
aws: [ERROR]: An error occurred (ValidationError) when calling the DescribeStacks operation: Stack with id pipeline-stack does not exist
---

Check LocalStack health and Lambda support

shell

awslocal lambda list-runtimes 2>&1 | head -20 ; echo "---" ; curl -s http://localstack:4566/_localstack/health | jq .

output

aws: [ERROR]: An error occurred (ParamValidation): argument operation: Found invalid choice 'list-runtimes'


usage: aws [options] <command> <subcommand> [<subcommand> ...] [parameters]
To see help text, you can run:

  aws help
  aws <command> help
  aws <command> <subcommand> help
---
{
  "services": {
    "acm": "disabled",
    "apigateway": "disabled",
    "cloudformation": "running",
    "cloudwatch": "disabled",
    "config": "disabled",
    "dynamodb": "available",
    "dynamodbstreams": "available",
    "ec2": "disabled",
    "es": "disabled",
    "events": "available",
    "firehose": "disabled",
    "iam": "available",
    "kinesis": "available",
    "kms": "available",
    "lambda": "available",
    "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": "disabled",
    "ssm": "disabled",
    "stepfunctions": "disabled",
    "sts": "available",
    "support": "disabled",
    "swf": "disabled",
    "transcribe": "disabled"
  },
  "edition": "community",
  "version": "4.13.1"
}

[stdout]
aws: [ERROR]: An error occurred (ParamValidation): argument operation: Found invalid choice 'list-runtimes'


usage: aws [options] <command> <subcommand> [<subcommand> ...] [parameters]
To see help text, you can run:

  aws help
  aws <command> help
  aws <command> <subcommand> help
---
{
  "services": {
    "acm": "disabled",
    "apigateway": "disabled",
    "cloudformation": "running",
    "cloudwatch": "disabled",
    "config": "disabled",
    "dynamodb": "available",
    "dynamodbstreams": "available",
    "ec2": "disabled",
    "es": "disabled",
    "events": "available",
    "firehose": "disabled",
    "iam": "available",
    "kinesis": "available",
    "kms": "available",
    "lambda": "available",
    "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": "disabled",
    "ssm": "disabled",
    "stepfunctions": "disabled",
    "sts": "available",
    "support": "disabled",
    "swf": "disabled",
    "transcribe": "disabled"
  },
  "edition": "community",
  "version": "4.13.1"
}

All required services are available. Let me build the CloudFormation template and deploy the stack.

write · /app/pipeline-stack.yaml

AWSTemplateFormatVersion: '2010-09-09'
Description: S3 -> Lambda -> DynamoDB event pipeline

Resources:

  EventsKey:
    Type: AWS::KMS::Key
    Properties:
      Description: CMK for pipeline-events DynamoDB table
      EnableKeyRotation: false
      KeyPolicy:
        Version: '2012-10-17'
        Statement:
          - Sid: EnableIAMRootAccess
            Effect: Allow
            Principal:
              AWS: !Sub 'arn:aws:iam::${AWS::AccountId}:root'
            Action: 'kms:*'
            Resource: '*'

  EventsTable:
    Type: AWS::DynamoDB::Table
    Properties:
      TableName: pipeline-events
      BillingMode: PAY_PER_REQUEST
      AttributeDefinitions:
        - AttributeName: object_key
          AttributeType: S
      KeySchema:
        - AttributeName: object_key
          KeyType: HASH
      SSESpecification:
        SSEEnabled: true
        SSEType: KMS
        KMSMasterKeyId: !Ref EventsKey

  LambdaRole:
    Type: AWS::IAM::Role
    Properties:
      AssumeRolePolicyDocument:
        Version: '2012-10-17'
        Statement:
          - Effect: Allow
            Principal:
              Service: lambda.amazonaws.com
            Action: sts:AssumeRole
      ManagedPolicyArns:
        - arn:aws:iam::aws:policy/service-role/AWSLambdaBasicExecutionRole
      Policies:
        - PolicyName: PipelineProcessorPolicy
          PolicyDocument:
            Version: '2012-10-17'
            Statement:
              - Effect: Allow
                Action:
                  - dynamodb:PutItem
                Resource: !GetAtt EventsTable.Arn
              - Effect: Allow
                Action:
                  - kms:Decrypt
                  - kms:GenerateDataKey
                Resource: !GetAtt EventsKey.Arn

  ProcessorFunction:
    Type: AWS::Lambda::Function
    Properties:
      FunctionName: pipeline-processor
      Runtime: python3.11
      Handler: index.handler
      Role: !GetAtt LambdaRole.Arn
      Timeout: 30
      Environment:
        Variables:
          TABLE_NAME: pipeline-events
          LOCALSTACK_ENDPOINT: http://localstack:4566
      Code:
        ZipFile: |
          import os
          import boto3

          endpoint = os.environ.get("LOCALSTACK_ENDPOINT") or os.environ.get("AWS_ENDPOINT_URL")
          if endpoint:
              ddb = boto3.client("dynamodb", endpoint_url=endpoint)
          else:
              ddb = boto3.client("dynamodb")
          TABLE = os.environ["TABLE_NAME"]

          def handler(event, context):
              for rec in event.get("Records", []):
                  s3 = rec.get("s3", {})
                  key = s3.get("object", {}).get("key", "")
                  bucket = s3.get("bucket", {}).get("name", "")
                  size = int(s3.get("object", {}).get("size", 0))
                  ts = rec.get("eventTime", "")
                  ddb.put_item(
                      TableName=TABLE,
                      Item={
                          "object_key": {"S": key},
                          "bucket": {"S": bucket},
                          "size": {"N": str(size)},
                          "event_time": {"S": ts},
                      },
                  )
              return {"ok": True}

  InvokePermission:
    Type: AWS::Lambda::Permission
    Properties:
      FunctionName: !Ref ProcessorFunction
      Action: lambda:InvokeFunction
      Principal: s3.amazonaws.com
      SourceAccount: !Ref AWS::AccountId
      SourceArn: arn:aws:s3:::pipeline-source

  SourceBucket:
    Type: AWS::S3::Bucket
    DependsOn: InvokePermission
    Properties:
      BucketName: pipeline-source
      NotificationConfiguration:
        LambdaConfigurations:
          - Event: 's3:ObjectCreated:*'
            Function: !GetAtt ProcessorFunction.Arn

Validate CloudFormation template

shell

awslocal cloudformation validate-template --template-body file://pipeline-stack.yaml 2>&1

output

{
    "Parameters": [],
    "Description": "S3 -> Lambda -> DynamoDB event pipeline"
}

[stdout]
{
    "Parameters": [],
    "Description": "S3 -> Lambda -> DynamoDB event pipeline"
}

Create CloudFormation stack

shell

awslocal cloudformation create-stack --stack-name pipeline-stack --template-body file://pipeline-stack.yaml --capabilities CAPABILITY_IAM 2>&1

output

{
    "StackId": "arn:aws:cloudformation:us-east-1:000000000000:stack/pipeline-stack/dfe66518-58cf-43a3-9c13-1592cd60c286"
}

[stdout]
{
    "StackId": "arn:aws:cloudformation:us-east-1:000000000000:stack/pipeline-stack/dfe66518-58cf-43a3-9c13-1592cd60c286"
}

Poll stack creation status

shell

for i in 1 2 3 4 5 6 7 8 9 10; do
  status=$(awslocal cloudformation describe-stacks --stack-name pipeline-stack --query 'Stacks[0].StackStatus' --output text 2>&1)
  echo "$i: $status"
  if [[ "$status" == *COMPLETE* || "$status" == *FAILED* || "$status" == *ROLLBACK* ]]; then
    break
  fi
  sleep 2
done

output

1: CREATE_COMPLETE

[stdout]
1: CREATE_COMPLETE

List stack resources

shell

awslocal cloudformation list-stack-resources --stack-name pipeline-stack 2>&1

output

{
    "StackResourceSummaries": [
        {
            "LogicalResourceId": "EventsKey",
            "PhysicalResourceId": "59ff8cc2-81b5-4ddf-8e70-3297ecefa6c8",
            "ResourceType": "AWS::KMS::Key",
            "LastUpdatedTimestamp": "2026-04-23T05:27:50.179167+00:00",
            "ResourceStatus": "CREATE_COMPLETE",
            "DriftInformation": {
                "StackResourceDriftStatus": "NOT_CHECKED"
            }
        },
        {
            "LogicalResourceId": "EventsTable",
            "PhysicalResourceId": "pipeline-events",
            "ResourceType": "AWS::DynamoDB::Table",
            "LastUpdatedTimestamp": "2026-04-23T05:27:51.666082+00:00",
            "ResourceStatus": "CREATE_COMPLETE",
            "DriftInformation": {
                "StackResourceDriftStatus": "NOT_CHECKED"
            }
        },
        {
            "LogicalResourceId": "LambdaRole",
            "PhysicalResourceId": "pipeline-stack-LambdaRole-c856ae2e",
            "ResourceType": "AWS::IAM::Role",
            "LastUpdatedTimestamp": "2026-04-23T05:27:51.761865+00:00",
            "ResourceStatus": "CREATE_COMPLETE",
            "DriftInformation": {
                "StackResourceDriftStatus": "NOT_CHECKED"
            }
        },
        {
            "LogicalResourceId": "ProcessorFunction",
            "PhysicalResourceId": "pipeline-processor",
            "ResourceType": "AWS::Lambda::Function",
            "LastUpdatedTimestamp": "2026-04-23T05:27:55.088682+00:00",
            "ResourceStatus": "CREATE_COMPLETE",
            "DriftInformation": {
                "StackResourceDriftStatus": "NOT_CHECKED"
            }
        },
        {
            "LogicalResourceId": "InvokePermission",
            "PhysicalResourceId": "pipeline-stack-InvokePermission-40a21b5e",
            "ResourceType": "AWS::Lambda::Permission",
            "LastUpdatedTimestamp": "2026-04-23T05:27:55.094491+00:00",
            "ResourceStatus": "CREATE_COMPLETE",
            "DriftInformation": {
                "StackResourceDriftStatus": "NOT_CHECKED"
            }
        },
        {
            "LogicalResourceId": "SourceBucket",
            "PhysicalResourceId": "pipeline-source",
            "ResourceType": "AWS::S3::Bucket",
            "LastUpdatedTimestamp": "2026-04-23T05:27:55.140272+00:00",
            "ResourceStatus": "CREATE_COMPLETE",
            "DriftInformation": {
                "StackResourceDriftStatus": "NOT_CHECKED"
            }
        }
    ]
}

[stdout]
{
    "StackResourceSummaries": [
        {
            "LogicalResourceId": "EventsKey",
            "PhysicalResourceId": "59ff8cc2-81b5-4ddf-8e70-3297ecefa6c8",
            "ResourceType": "AWS::KMS::Key",
            "LastUpdatedTimestamp": "2026-04-23T05:27:50.179167+00:00",
            "ResourceStatus": "CREATE_COMPLETE",
            "DriftInformation": {
                "StackResourceDriftStatus": "NOT_CHECKED"
            }
        },
        {
            "LogicalResourceId": "EventsTable",
            "PhysicalResourceId": "pipeline-events",
            "ResourceType": "AWS::DynamoDB::Table",
            "LastUpdatedTimestamp": "2026-04-23T05:27:51.666082+00:00",
            "ResourceStatus": "CREATE_COMPLETE",
            "DriftInformation": {
                "StackResourceDriftStatus": "NOT_CHECKED"
            }
        },
        {
            "LogicalResourceId": "LambdaRole",
            "PhysicalResourceId": "pipeline-stack-LambdaRole-c856ae2e",
            "ResourceType": "AWS::IAM::Role",
            "LastUpdatedTimestamp": "2026-04-23T05:27:51.761865+00:00",
            "ResourceStatus": "CREATE_COMPLETE",
            "DriftInformation": {
                "StackResourceDriftStatus": "NOT_CHECKED"
            }
        },
        {
            "LogicalResourceId": "ProcessorFunction",
            "PhysicalResourceId": "pipeline-processor",
            "ResourceType": "AWS::Lambda::Function",
            "LastUpdatedTimestamp": "2026-04-23T05:27:55.088682+00:00",
            "ResourceStatus": "CREATE_COMPLETE",
            "DriftInformation": {
                "StackResourceDriftStatus": "NOT_CHECKED"
            }
        },
        {
            "LogicalResourceId": "InvokePermission",
            "PhysicalResourceId": "pipeline-stack-InvokePermission-40a21b5e",
            "ResourceType": "AWS::Lambda::Permission",
            "LastUpdatedTimestamp": "2026-04-23T05:27:55.094491+00:00",
            "ResourceStatus": "CREATE_COMPLETE",
            "DriftInformation": {
                "StackResourceDriftStatus": "NOT_CHECKED"
            }
        },
        {
            "LogicalResourceId": "SourceBucket",
            "PhysicalResourceId": "pipeline-source",
            "ResourceType": "AWS::S3::Bucket",
            "LastUpdatedTimestamp": "2026-04-23T05:27:55.140272+00:00",
            "ResourceStatus": "CREATE_COMPLETE",
            "DriftInformation": {
                "StackResourceDriftStatus": "NOT_CHECKED"
            }
        }
    ]
}

All resources deployed successfully. Let me verify end-to-end by uploading a test object and checking DynamoDB.

End-to-end test: upload and verify DynamoDB entry

shell

echo "hello pipeline world" > /tmp/test.txt
key="test-object-$(date +%s).txt"
awslocal s3 cp /tmp/test.txt s3://pipeline-source/$key
echo "Uploaded key: $key"
echo "---"
for i in 1 2 3 4 5 6 7 8 9 10; do
  item=$(awslocal dynamodb get-item --table-name pipeline-events --key "{\"object_key\":{\"S\":\"$key\"}}" 2>&1)
  if echo "$item" | grep -q '"Item"'; then
    echo "Attempt $i: found"
    echo "$item"
    break
  fi
  echo "Attempt $i: not found yet"
  sleep 2
done

output

Completed 21 Bytes/21 Bytes (1.1 KiB/s) with 1 file(s) remaining
upload: ../tmp/test.txt to s3://pipeline-source/test-object-1776922143.txt
Uploaded key: test-object-1776922143.txt
---
Attempt 1: not found yet
Attempt 2: found
{
    "Item": {
        "bucket": {
            "S": "pipeline-source"
        },
        "object_key": {
            "S": "test-object-1776922143.txt"
        },
        "size": {
            "N": "21"
        },
        "event_time": {
            "S": "2026-04-23T05:29:03.859Z"
        }
    }
}

[stdout]
Completed 21 Bytes/21 Bytes (1.1 KiB/s) with 1 file(s) remaining
upload: ../tmp/test.txt to s3://pipeline-source/test-object-1776922143.txt
Uploaded key: test-object-1776922143.txt
---
Attempt 1: not found yet
Attempt 2: found
{
    "Item": {
        "bucket": {
            "S": "pipeline-source"
        },
        "object_key": {
            "S": "test-object-1776922143.txt"
        },
        "size": {
            "N": "21"
        },
        "event_time": {
            "S": "2026-04-23T05:29:03.859Z"
        }
    }
}

End-to-end pipeline works. All requirements satisfied: - **Stack** `pipeline-stack` in `CREATE_COMPLETE` with all 6 resources (KMS key, DynamoDB table, IAM role, Lambda, Lambda permission, S3 bucket). - **S3 bucket** `pipeline-source` created with `s3:ObjectCreated:*` → Lambda notification. - **DynamoDB table** `pipeline-events` with `object_key` (S) HASH key, encrypted with the stack-owned CMK. - **Lambda** `pipeline-processor` (python3.11) wrote `{object_key, bucket, size, event_time}` for the test upload. - **IAM role** has `dynamodb:PutItem` on the table and `kms:Decrypt`/`kms:GenerateDataKey` on the CMK ARN. - **Lambda permission** allows invocation from `s3.amazonaws.com` scoped to the `pipeline-source` bucket ARN. Template at `/app/pipeline-stack.yaml`.

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/Mxw60spziJfC1H8FhiINa/bin/python
cachedir: .pytest_cache
rootdir: /tests
plugins: json-ctrf-0.3.5
collecting ... collected 13 items

../tests/test_outputs.py::test_aws_cli_binary_is_real PASSED             [  7%]
../tests/test_outputs.py::test_localstack_reachable PASSED               [ 15%]
../tests/test_outputs.py::test_cfn_stack_is_deployed PASSED              [ 23%]
../tests/test_outputs.py::test_cfn_stack_owns_core_resources PASSED      [ 30%]
../tests/test_outputs.py::test_bucket_exists PASSED                      [ 38%]
../tests/test_outputs.py::test_table_exists_with_correct_schema PASSED   [ 46%]
../tests/test_outputs.py::test_lambda_exists_with_correct_runtime PASSED [ 53%]
../tests/test_outputs.py::test_lambda_permission_allows_s3_invoke PASSED [ 61%]
../tests/test_outputs.py::test_bucket_notification_points_at_lambda PASSED [ 69%]
../tests/test_outputs.py::test_stack_owns_customer_managed_kms_key PASSED [ 76%]
../tests/test_outputs.py::test_ddb_encrypted_with_stack_cmk PASSED       [ 84%]
../tests/test_outputs.py::test_lambda_role_can_use_the_cmk PASSED        [ 92%]
../tests/test_outputs.py::test_end_to_end_put_creates_ddb_item FAILED    [100%]

=================================== FAILURES ===================================
_____________________ test_end_to_end_put_creates_ddb_item _____________________

s3 = <botocore.client.S3 object at 0xffff8b91da30>
ddb = <botocore.client.DynamoDB object at 0xffff8b562db0>

    def test_end_to_end_put_creates_ddb_item(s3, ddb):
        key = f"verifier/red flower-{uuid.uuid4().hex}.bin"
        body = struct.pack(">Q", int(time.time_ns())) + os.urandom(32)
        s3.put_object(Bucket=BUCKET, Key=key, Body=body)
    
        deadline = time.time() + 60
        last_err = None
        item = None
        while time.time() < deadline:
            try:
                resp = ddb.get_item(
                    TableName=TABLE,
                    Key={"object_key": {"S": key}},
                    ConsistentRead=True,
                )
                if "Item" in resp:
                    item = resp["Item"]
                    break
            except ClientError as e:
                last_err = e
            time.sleep(1)
    
>       assert item is not None, (
            f"Lambda never wrote item for key={key} within 60s; last_err={last_err}"
        )
E       AssertionError: Lambda never wrote item for key=verifier/red flower-266982c010cd46bbb2d6792849b1ff21.bin within 60s; last_err=None
E       assert None is not None

/tests/test_outputs.py:297: AssertionError
=============================== warnings summary ===============================
test_outputs.py: 77 warnings
  /root/.cache/uv/archive-v0/Mxw60spziJfC1H8FhiINa/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_aws_cli_binary_is_real
PASSED ../tests/test_outputs.py::test_localstack_reachable
PASSED ../tests/test_outputs.py::test_cfn_stack_is_deployed
PASSED ../tests/test_outputs.py::test_cfn_stack_owns_core_resources
PASSED ../tests/test_outputs.py::test_bucket_exists
PASSED ../tests/test_outputs.py::test_table_exists_with_correct_schema
PASSED ../tests/test_outputs.py::test_lambda_exists_with_correct_runtime
PASSED ../tests/test_outputs.py::test_lambda_permission_allows_s3_invoke
PASSED ../tests/test_outputs.py::test_bucket_notification_points_at_lambda
PASSED ../tests/test_outputs.py::test_stack_owns_customer_managed_kms_key
PASSED ../tests/test_outputs.py::test_ddb_encrypted_with_stack_cmk
PASSED ../tests/test_outputs.py::test_lambda_role_can_use_the_cmk
FAILED ../tests/test_outputs.py::test_end_to_end_put_creates_ddb_item - Asser...
============= 1 failed, 12 passed, 77 warnings in 60.51s (0:01:00) =============

Reproduce this trial: git checkout 2f94510 && PYTHONPATH=src python3 scripts/build_site.py , then open trial/trial_a1a2a1148b7948f2. Re-running the agent live requires EVAL_PLATFORM_ENABLE_OAUTH_SMOKE=1 and is non-deterministic.

Trial trial_a1a2a1148b7948f2 · verifier authoritative; classifier explanatory.