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Spec Testing Guide

We have devised our own test framework to test the spec against an OpenSearch cluster. We're still adding more features to the framework as the needs arise, and this document will be updated accordingly. This test framework has also been integrated into the repo's CI/CD pipeline. Checkout the test-spec workflow for more details.

Running Spec Tests

Running Spec Tests Locally

Prerequisites

Download and install the latest version of Node.js and npm from here and run npm install.

Install Docker Desktop from here.

OpenSearch Cluster

Set up an OpenSearch cluster with Docker:

(Replace <<your_password>> with your desired password. If not provided, the default password inside the docker-compose.yml file will be used.)

export OPENSEARCH_PASSWORD=<<your_password>>
cd tests/default
docker compose up -d

Run Tests

Run the tests (use --opensearch-insecure for a local cluster running in Docker that does not have a valid SSL certificate):

export OPENSEARCH_PASSWORD=<<your_password>>
npm run test:spec -- --opensearch-insecure

Run a specific test story:

npm run test:spec -- --opensearch-insecure --tests tests/default/_core/info.yaml

Verbose output:

npm run test:spec -- --opensearch-insecure --verbose

Want to help with some missing tests? Choose from the remaining paths in the test coverage report:

npm run test:spec -- --opensearch-insecure --coverage-report

Running Spec Tests with Amazon OpenSearch

Use an Amazon OpenSearch service instance.

export AWS_ACCESS_KEY_ID=<<your AWS access key ID>>
export AWS_SECRET_ACCESS_KEY=<<your AWS secret access key>>
export AWS_SESSION_TOKEN=<<optional AWS session token>>
export AWS_REGION=us-west-2
export OPENSEARCH_URL=https://....us-west-2.es.amazonaws.com

npm run test:spec

Common Errors

401 Unauthorized

Remember to set the OPENSEARCH_PASSWORD or AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY environment variables every time you start a new shell to run the tests.

FORBIDDEN/10/cluster create-index blocked (api)

The cluster is most likely hitting a disk watermark threshold. This example sets the disk watermark thresholds to 1500MB low, 100MB high, and 500MB flood stage, allowing the cluster to create indexes even if the disk is almost full.

curl -k -X PUT --user "admin:${OPENSEARCH_PASSWORD}" https://localhost:9200/_cluster/settings -H 'Content-Type: application/json' -d'
{
  "persistent": {
    "cluster.routing.allocation.disk.watermark.low": "1500mb",
    "cluster.routing.allocation.disk.watermark.high": "1000mb",
    "cluster.routing.allocation.disk.watermark.flood_stage": "500mb",
    "cluster.blocks.create_index" : null
  }
}
'

FAILED Cat with a json response (from security-analytics).

The cluster is not loading plugins correctly, maybe it was stopped using docker kill instead of docker stop. Recreating the cluster should fix the issue: docker compose up --force-recreate -d.

Writing Spec Tests

The spec tests reside in the tests/ directory. Tests are organized in suites (default, etc.), and subsequently in folders that match namespaces. For example, tests for APIs defined in spec/namespaces/indices.yaml can be found in tests/default/indices/index.yaml (for /{index}), and tests/default/indices/doc.yaml (for /{index}/_doc).

Additional suites require custom configuration that is defined in a separate docker-compose.yml. For example tests/plugins/index_state_management/docker-compose.yml uses a custom setting of plugins.index_state_management.job_interval=1 to cause the /_nodes API to return plugin information tested in tests/plugins/index_state_management/nodes/plugins/index_state_management.yaml.

Each yaml file in the tests directory represents a test story that tests a collection of related operations.

A test story has 3 main components:

  • prologues: These are the operations that are executed before the test story is run. They are used to set up the environment for the test story.
  • chapters: These are the operations that are being tested.
  • epilogues: These are the operations that are executed after the test story is run. They are used to clean up the environment after the test story.

Check the test_story JSON Schema for the complete structure of a test story.

Simple Test Story

Below is the simplified version of the test story that tests the index operations:

$schema: ../../json_schemas/test_story.schema.yaml # The schema of the test story. Include this line so that your editor can validate the test story on the fly.

description: This story tests all endpoints relevant the lifecycle of an index, from creation to deletion.

prologues: [] # No prologues are needed for this story.

epilogues: # Clean up the environment by assuring that the `books` index is deleted afterward.
  - path: /books
    method: DELETE
    status: [200, 404] # The index may not exist, so we accept 404 as a valid response. Default to [200, 201] if not specified.
    
chapters:
  - synopsis: Create an index named `books` with mappings and settings.
    path: /{index} # The test will fail if "PUT /{index}" operation is not found in the spec.
    method: PUT
    parameters: # All parameters are validated against their schemas in the spec.
      index: books
    request: # The request.
      headers: # Optional headers.
        user-agent: OpenSearch API Spec/1.0
      payload: # The request body is validated against the schema of the requestBody in the spec.
        mappings:
          properties:
            name:
              type: keyword
            age:
              type: integer
        settings:
          number_of_shards: 5
          number_of_replicas: 2
    response: # The response.
      payload: # Matching response payload. The entire payload is validated against the schema of the corresponding response in the spec.
      status: 200 # This is the expected status code of the response. Any other status code will fail the test.

  - synopsis: Retrieve the mappings and settings of the `books` index.
    path: /{index}
    method: GET
    parameters:
      index: books
      flat_settings: true
      
  - synopsis: Delete the `books` index.
    path: /{index}
    method: DELETE
    parameters:
      index: books

Using Output from Previous Chapters

Consider the following chapters in ml/model_groups test story:

  - synopsis: Create model group.
    id: create_model_group # Only needed if you want to refer to this chapter in another chapter.
    path: /_plugins/_ml/model_groups/_register
    method: POST
    request:
      payload:
        name: NLP_Group
        description: Model group for NLP models.
    response:
      status: 200
    output: # Save the model group id for later use.
      test_model_group_id: "payload.model_group_id"
  - synopsis: Query model group.
    path: /_plugins/_ml/model_groups/{model_group_id}
    method: GET
    parameters:
      # Use the output from the `create_model_group` chapter.
      model_group_id: ${create_model_group.test_model_group_id}
    response:
      status: 200
  - synopsis: Delete model group.
    path: /_plugins/_ml/model_groups/{model_group_id}
    method: DELETE
    parameters:
      # Use the output from the `create_model_group` chapter.
      model_group_id: ${create_model_group.test_model_group_id}
    response:
      status: 200

As you can see, the output field in the first chapter saves the model_group_id from the response body. This value is then used in the subsequent chapters to query and delete the model group.

You can also supply defaults for output values, e.g. for payload._version used in cluster/routing/awareness/weights.yaml.

version:
  path: payload._version
  default: -1

You can reuse output in payload expectations. See tests/plugins/index_state_management/nodes/plugins/index_state_management.yaml for an example.

Managing Versions

It's common to add a feature to the next version of OpenSearch. When adding a new API in the spec, make sure to specify x-version-added, x-version-deprecated or x-version-removed. Finally, specify a semver or a semver range in your test stories or chapters as follows.

- synopsis: Search with `phase_took` added in OpenSearch 2.12 and removed in version 3.
  version: '>=2.12 <3'
  path: /{index}/_search
  parameters:
    index: movies
    cancel_after_time_interval: 10s
  method: POST
  response:
    status: 200

The test tool will fetch the server version when it starts and use it automatically. The integration test workflow runs a matrix of OpenSearch versions, including the next version. Please check whether the workflow needs an update when adding version-specific tests.

Managing Distributions

OpenSearch consists of plugins that may or may not be present in various distributions. When adding a new API in the spec, you can specify x-distributions-included or x-distributions-excluded with a list of distributions that have a particular feature. For example, the Amazon Managed OpenSearch supports GET /, but Amazon Serverless OpenSearch does not.

/:
  get:
    operationId: info.0
    x-distributions-included:
      - opensearch.org
      - amazon-managed
    x-distributions-excluded:
      - amazon-serverless
    description: Returns basic information about the cluster.

Similarly, skip tests that are not applicable to a distribution by listing the distributions that support or do not support it.

description: Test root endpoint.
distributions:
  included:
    - amazon-managed
    - opensearch.org
  excluded:
    - amazon-serverless
chapters:
  - synopsis: Get server info.
    path: /
    method: GET
    response:
      status: 200

To test a particular distribution pass --opensearch-distribution to the test tool. For example, the following runs tests against an Amazon Managed OpenSearch instance.

export AWS_ACCESS_KEY_ID=...
export AWS_SECRET_ACCESS_KEY=...
export AWS_SESSION_TOKEN=...
export AWS_REGION=us-west-2

export OPENSEARCH_URL=https://....us-west-2.es.amazonaws.com

npm run test:spec -- --opensearch-distribution=amazon-managed

The output will visible skip APIs that are not available in the amazon-managed distribution.

PASSED  _core/bulk.yaml (.../_core/bulk.yaml)
PASSED  _core/info.yaml (.../_core/info.yaml)
SKIPPED indices/forcemerge.yaml (Skipped because distribution amazon-managed is not opensearch.org.)

Waiting for Tasks

Some APIs behave asynchronously and may require a test to wait for a task to complete. This can be achived with a combination of payload and retry.

For example, an ML task returns CREATED when created, and COMPLETED when it's done. The example below will retry 3 times with an interval of 30 seconds until the task is complete. The default wait time is 1s.

  - synopsis: Wait for task.
    path: /_plugins/_ml/tasks/{task_id}
    method: GET
    parameters:
      task_id: ${create_model.task_id}
    response:
      status: 200
      payload:
        state: COMPLETED
    retry:
      count: 3
      wait: 30000

Warnings

multiple-paths-detected

The test runner expects all tests in the same file to be variation of the same path in order to keep tests well-organized. Otherwise, a warning will be emitted.

WARNING Multiple paths detected, please group similar tests together and move paths not being tested to prologues or epilogues.
  /_component_template/{name}
  /_index_template/{name}
  /{index}

Suppressing Warnings

The test runner may generate warnings that can be suppressed with warnings: at story or chapter level. For example, to suppress the multiple paths detected warning.

- synopsis: Create an index.
  method: PUT
  path: /{index}
  parameters:
    index: movies
- synopsis: Search the index to make sure it has been created.
  method: POST
  warnings:
    multiple-paths-detected: false
  path: /{index}/_search
  parameters:
    index: movies

Collecting Test Coverage

Coverage Summary

The test tool can generate a test coverage summary using --coverage <path> with the number of evaluated verb + path combinations, a total number of paths and the % of paths tested.

{
  "evaluated_operations_count": 214,
  "operations_count": 550,
  "evaluated_paths_pct": 38.91
}

The report is then used by the test-spec.yml workflow, uploaded with every run, combined across various versions of OpenSearch, and reported as a comment on each pull request.

Coverage Report

The test tool can display detailed and hierarchal test coverage with --coverage-report. This is useful to identify untested paths. The report produces the following output with the missing ones.

/_alias (4)
  GET /_alias
  /{name} (3)
    GET /_alias/{name}
    POST /_alias/{name}
    HEAD /_alias/{name}

Integration Testing

This project runs integration tests against multiple versions of OpenSearch in the test-spec.yml workflow.

Stable Releases

The simplest entry in the test matrix executes tests in tests/default against a released version of OpenSearch. For example, the following entries run tests gainst OpenSearch 1.3.17 and 2.17.0.

entry:
  - version: 1.3.17
  - version: 2.17.0

Custom Setup

Some tests require a custom docker image. For example, testing the notifications plugin requires a custom webhook. This can be done by creating a custom docker-compose.yml, such as the one in tests/plugins/notifications.

webhook:
  image: python:latest
  volumes:
    - ./server.py:/server.py
  ports:
    - '8080:8080'
  entrypoint: python server.py

The following example in the test matrix will use the custom docker-compose.yml and execute all tests in tests/plugins/notifications.

entry:
  - version: 2.17.0
    tests: plugins/notifications

Future Releases

Snapshot builds of OpenSearch are available on Docker Hub under opensearchstaging/opensearch/tags.

The following example in the test matrix will use a snapshot build of OpenSearch 2.18 to execute the default test suite in tests/default.

- version: 2.18.0
  hub: opensearchstaging
  ref: '@sha256:4445e195c53992038891519dc3be0d273cdaad1b047943d68921168ed243e7e9'

It's important to note that snapshot builds may not contain all plugins, and may contain previous versions of a plugin if the current code failed to build. It's therefore possible that updating a SHA to test new functionality available in a more recent build causes failures with existing tests. As of today the only workaround is to try the next build that will hopefully have more/all the plugins. For a discussion about this problem see opensearch-build#5130.

Use the following command to retrieve the manifest of a given build to make it easier to identify a SHA that includes all the plugins.

$ docker run -it --entrypoint bash opensearchstaging/opensearch:2.18.0@sha256:4445e195c53992038891519dc3be0d273cdaad1b047943d68921168ed243e7e9 -c "cat /usr/share/opensearch/manifest.yml"
---
schema-version: '1.1'
build:
  name: OpenSearch
  version: 2.18.0
  platform: linux
  architecture: x64
  distribution: tar
  location: https://ci.opensearch.org/ci/dbc/distribution-build-opensearch/2.18.0/10320/linux/x64/tar/dist/opensearch/opensearch-2.18.0-linux-x64.tar.gz
  id: '10320'
components:
  - name: OpenSearch
    repository: https://github.com/opensearch-project/OpenSearch.git
    ref: 2.x
    commit_id: b67f76541b78e58844b54305eb21232e78167744
    location: https://ci.opensearch.org/ci/dbc/distribution-build-opensearch/2.18.0/10320/linux/x64/tar/builds/opensearch/dist/opensearch-min-2.18.0-linux-x64.tar.gz
  - name: common-utils
    repository: https://github.com/opensearch-project/common-utils.git
    ref: 2.x
    commit_id: 63ee9746ce04a8eace0ba6320e93bf5833f6a4a6
...