Gonkey: testing automation tool

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Gonkey will test your services using their API. It can bomb the service with prepared requests and check the responses. Test scenarios are described in YAML-files.

Capabilities:

works with REST/JSON API
tests service API for compliance with OpenAPI-specs
seeds the DB with fixtures data (supports PostgreSQL, MySQL, Aerospike, Redis)
provides mocks for external services
can be used as a library and ran together with unit-tests
stores the results as an Allure report
there is a JSON-schema to add autocomletion and validation for gonkey YAML files

Using the CLI
Using gonkey as a library
Test scenario example
Test status
HTTP-request
HTTP-response
Variables
Files uploading
Fixtures
Mocks
Shell scripts usage
- Script definition
- Running a script with parameterization
A DB query
JSON-schema
- Setup in Jetbrains IDE
- Setup is VSCode IDE

Using the CLI

To test a service located on a remote host, use gonkey as a console util.

./gonkey -host <...> -tests <...> [-spec <...>] [-db_dsn <...> -fixtures <...>] [-allure] [-v]

-spec <...> path to a file or URL with the swagger-specs for the service
-host <...> service host:port
-tests <...> test file or directory
-db-type <...> - database type. PostgreSQL, Aerospike, Redis are currently supported.
-aerospike_host <...> when using Aerospike - connection URL in a form of host:port/namespace
-redis_url <...> when using Redis - connection address, for example redis://user:password@localhost:6789/1?dial_timeout=1&db=1&read_timeout=6s&max_retries=2
-db_dsn <...> DSN for the test DB (the DB will be cleared before seeding!), supports only PostgreSQL
-fixtures <...> fixtures directory
-allure generate an Allure-report
-v verbose output
-debug debug output

You can't use mocks in this mode.

Using gonkey as a library

To integrate functional and native Go tests and run them together, use gonkey as a library.

Create a test file, for example func_test.go.

Import gonkey as a dependency to your project in this file.

import (
    "github.com/lamoda/gonkey/runner"
    "github.com/lamoda/gonkey/mocks"
)

Create a test function.

package test

import (
  "testing"

  "github.com/lamoda/gonkey/fixtures"
  "github.com/lamoda/gonkey/mocks"
  "github.com/lamoda/gonkey/runner"
)

func TestFuncCases(t *testing.T) {
  // init the mocks if needed (details below)
  // m := mocks.NewNop(...)

  // init the DB to load the fixtures if needed (details below)
  // db := ...

  // init Aerospike to load the fixtures if needed (details below)
  // aerospikeClient := ...

  // create a server instance of your app
  srv := server.NewServer()
  defer srv.Close()

  // run test cases from your dir with Allure report generation
  runner.RunWithTesting(t, &runner.RunWithTestingParams{
    Server:   srv,
    TestsDir: "cases",
    Mocks:    m,
    DB:       db,
    Aerospike: runner.Aerospike{
      Client:    aerospikeClient,
      Namespace: "test",
    },
    // Type of database, can be fixtures.Postgres, fixtures.Mysql, fixtures.CustomLoader
    // if DB parameter present, by default uses fixtures.Postgres database type
    DbType:      fixtures.Postgres,
    FixturesDir: "fixtures",
  })
}

Starts from version 1.18.3, externally written fixture loader may be used for loading test data, if gonkey used as a library. To start using the custom loader, you need to import the custom module, that contains implementation of fixtures.Loader interface.

Example with a redis fixtures loader:

package test

import (
  "net/http"
  "net/http/httptest"
  "testing"

  "github.com/lamoda/gonkey/fixtures"
  redisLoader "github.com/lamoda/gonkey/fixtures/redis"
  // redisLoader "custom_module/gonkey-redis" // custom implementation of a fixtures.Loader interface
  redisClient "github.com/go-redis/redis/v9"
  "github.com/lamoda/gonkey/runner"
)

func TestFuncCases(t *testing.T) {
  serveMux := http.NewServeMux()

  serveMux.HandleFunc("/", func(w http.ResponseWriter, r *http.Request) {
    _, _ = w.Write([]byte("ok"))
  })

  srv := httptest.NewServer(serveMux)

  clientOptions, err := redisClient.ParseURL("redis://user:password@localhost:6789/1?dial_timeout=1&db=1&read_timeout=6s&max_retries=2")
  if err != nil {
    panic(err)
  }

  redisFixtureLoader := redisLoader.New(redisLoader.LoaderOptions{
    FixtureDir: "./fixtures",
    Redis:      clientOptions,
  })

  runner.RunWithTesting(t, &runner.RunWithTestingParams{
    Server:        srv,
    TestsDir:      "./cases",
    DbType:        fixtures.CustomLoader,
    FixtureLoader: redisFixtureLoader,
  })
}

The tests can be now ran with go test, for example: go test ./....

Test scenario example

- name: WHEN the list of orders is requested MUST successfully response
  method: GET
  status: ""
  path: /jsonrpc/v2/order.getBriefList
  query: ?id=550e8400-e29b-41d4-a716-446655440000&jsonrpc=2.0&user_id=00001

  fixtures:
    - order_0001
    - order_0002

  response:
    200: |
      {
        "id": "550e8400-e29b-41d4-a716-446655440000",
        "jsonrpc": "2.0",
        "result": {
          "data": [
            "ORDER0001",
            "ORDER0002"
          ],
          "meta": {
            "items": 0,
            "limit": 50,
            "page": 0,
            "pages": 0
          }
        }
      }

- name: WHEN one order is requested MUST response with user and sum
  method: POST
  path: /jsonrpc/v2/order.getOrder

  headers:
    Authorization: Bearer HsHG67d38hJKJFdfjj==
    Content-Type: application/json

  cookies:
    sid: ZmEwZDkwYzgwMmQzMGIzOGIxODM3ZmFiOTGJhMzU=
    lid: AAAEAFu/TdhHBg7UAgA=

  comparisonParams:
    ignoreValues: false
    ignoreArraysOrdering: false
    disallowExtraFields: false

  request: |
    {
      "jsonrpc": "2.0",
      "id": "550e8400-e29b-41d4-a716-446655440000",
      "method": "order.getOrder",
      "params": [
        {
          "order_nr": {{ .orderNr }}
        }
      ]
    }

  response:
    200: |
      {
        "id": "550e8400-e29b-41d4-a716-446655440000",
        "jsonrpc": "2.0",
        "result": {
          "user_id": {{ .userId }},
          "amount": {{ .amount }},
          "token": "$matchRegexp(^\\w{16}$)"
        }
      }

  responseHeaders:
    200:
      Content-Type: "application/json"
      Cache-Control: "no-store, must-revalidate"
      Set-Cookie: "mycookie=123; Path=/; Domain=mydomain.com", "mycookie=456; Path=/; Domain=.mydomain.com"

  cases:
    - requestArgs:
        orderNr: ORDER0001
      responseArgs:
        200:
          userId: '0001'
          amount: 1000

    - requestArgs:
        orderNr: ORDER0002
      responseArgs:
        200:
          userId: '0001'
          amount: 72000

As you can see in this example, you can use Regexp for checking response body. It can be used for all body (if it's plaint text):

    response:
        200: "$matchRegexp(^xy+z$)"

or for elements of map/array (if it's JSON):

    response:
        200: |
          {
            "id": "$matchRegexp([\\w-]+)",
            "jsonrpc": "$matchRegexp([12].0)",
            "result": [
              "data": [
                  "$matchRegexp(ORDER[0]{3}[0-9])",
                  "$matchRegexp(ORDER[0]{3}[0-9])"
              ],
            ]
          }

Also, "?" in query is optional

Test status

status - a parameter, for specially mark tests, can have following values:

broken - do not run test, only mark it as broken
skipped - do not run test, skip it
focus - run only this specific test, and mark all other tests with unset status as skipped

HTTP-request

method - a parameter for HTTP request type, the format is in the example above.

path - a parameter for URL path, the format is in the example above.

headers - a parameter for HTTP headers, the format is in the example above.

cookies - a parameter for cookies, the format is in the example above.

HTTP-response

response - the HTTP response body for the specified HTTP status codes.

responseHeaders - all HTTP response headers for the specified HTTP status codes.

Variables

You can use variables in the description of the test, the following fields are supported:

method
description
path
query
headers
request
response
dbQuery
dbResponse
mocks body
mocks headers
mocks requestConstraints

Example:

- method: "{{ $method }}"
  description: "{{ $description }}"
  path: "/some/path/{{ $pathPart }}"
  query: "{{ $query }}"
  headers:
    header1: "{{ $header }}"
  request: '{"reqParam": "{{ $reqParam }}"}'
  response:
    200: "{{ $resp }}"
  mocks:
    server_mock:
      strategy: constant
      body: >
        {
          "message": "{{ $mockParam }}"
        }
      statusCode: 200
  dbQuery: >
    SELECT id, name FROM testing_tools WHERE id={{ $sqlQueryParam }}
  dbResponse:
    - '{"id": {{ $sqlResultParam }}, "name": "gonkey"}'

You can assign values to variables in the following ways (priorities are from top to bottom):

in the description of the test
from the response of the previous test
from the response of currently running test
from environment variables or from env-file

Assignment

In the description of the test

Example:

- method: "{{ $method }}"
  path: "/some/path/{{ $pathPart }}"
  variables:
    reqParam: "reqParam_value"
    method: "POST"
    pathPart: "part_of_path"
    query: "query_val"
    header: "header_val"
    resp: "resp_val"
  query: "{{ $query }}"
  headers:
    header1: "{{ $header }}"
  request: '{"reqParam": "{{ $reqParam }}"}'
  response:
    200: "{{ $resp }}"

From the response of the previous test

Example:

# if the response is plain text
- name: "get_last_post_id"
  ...
  variables_to_set:
          200: "id"

# if the response is JSON
- name: "get_last_post_info"
  variables_to_set:
          200:
            id: "id"
            title: "title"
            authorId: "author_info.id"

You can access nested fields like this:

"author_info.id"

Any nesting levels are supported.

From the response of currently running test

Example:

- name: Get info with database
  method: GET
  path: "/info/1"
  variables_to_set:
    200:
      golang_id: query_result.0.0
  response:
    200: '{"result_id": "1", "query_result": [[ {{ $golang_id }} , "golang"], [2, "gonkey"]]}'
  dbQuery: >
    SELECT id, name FROM testing_tools WHERE id={{ $golang_id }}
  dbResponse:
    - '{"id": {{ $golang_id}}, "name": "golang"}'

From environment variables or from env-file

Gonkey automatically checks if variable exists in the environment variables (case-sensitive) and loads a value from there, if it exists.

If an env-file is specified, variables described in it will be added or will replace the corresponding environment variables.

Example of an env file (standard syntax):

jwt=some_jwt_value
secret=my_secret
password=private_password

env-file can be convenient to hide sensitive information from a test (passwords, keys, etc.)

From cases

You can describe variables in cases section of a test.

Example:

- name: Get user info
  method: GET
  path: "/user/1"
  response:
    200: '{ "user_id": "1", "name": "{{ $name }}", "surname": "{{ $surname }}" }'
  cases:
    - variables:
        name: John
        surname: Doe

Variables like these will be available through another cases if not redefined.

Files uploading

You can upload files in test request. For this you must specify the type of request - POST and header:

Content-Type: multipart/form-data

Example:

 - name: "upload-files"
   method: POST
   form:
       files:
         file1: "testdata/upload-files/file1.txt"
         file2: "testdata/upload-files/file2.log"
   headers:
     Content-Type: multipart/form-data # case-sensitive, can be omitted
   response:
     200: |
       {
         "status": "OK"
       }

Fixtures

To seed the DB before the test, gonkey uses fixture files.

You can use schema in PostreSQL: schema.table_name

File example:

# fixtures/comments.yml
inherits:
  - another_fixture
  - yet_another_fixture

tables:
  posts:
    - $name: janes_post
      title: New post
      text: Post text
      author: Jane Dow
      created_at: 2016-01-01 12:30:12
      updated_at: 2016-01-01 12:30:12

    - $name: apples_post
      title: Morning digest
      text: Text
      author: Apple Seed
      created_at: 2016-01-01 12:30:12
      updated_at: 2016-01-01 12:30:12

  comments:
    - post_id: $janes_post.id
      content: A comment...
      author_name: John Doe
      author_email: john@doe.com
      created_at: 2016-01-01 12:30:12
      updated_at: 2016-01-01 12:30:12

    - post_id: $apples_post.id
      content: Another comment...
      author_name: John Doe
      author_email: john@doe.com
      created_at: 2016-01-01 12:30:12
      updated_at: 2016-01-01 12:30:12

  another_table:
      ...
  ...

Records in fixtures can use templates, inherit and reference each other.

Deleting data from tables

To clear the table before the test put square brackets next to the table name.

Example:

# fixtures/empty_posts_table.yml
tables:
  posts: []

Record templates

Usually, to insert a record to a DB, it's necessary to list all the fields without default values. Oftentimes, many of those fields are not important for the test, and their values repeat from one fixture to another, creating unnecessary visual garbage and making the maintenance harder.

With templates you can inherit the fields from template record redefining only the fields that are important for the test.

Template definition example:

templates:
  dummy_client:
    name: Dummy Client Name
    age: 35
    ip: 127.0.0.1
    is_deleted: false

  dummy_deleted_client:
    $extend: dummy_client
    is_deleted: true

tables:
  ...

Example of using a template in a fixture:

templates:
   ...
tables:
   clients:
      - $extend: dummy_client
      - $extend: dummy_client
        name: Josh
      - $extend: dummy_deleted_client
        name: Jane

As you might have noticed, templates can be inherited as well with $extend keyword, but only if by the time of the dependent template definition the parent template is already defined (in this file or any other referenced with inherits).

Record inheritance

Records can be inherited as well using $extend.

To inherit a record, first you need to assign this record a name using $name:

# fixtures/post.yaml
tables:
  posts:
    - $name: regular_post
      title: Post title
      text: Some text

Names assigned to records must be unique among all loaded fixture files, as well as they must not interfere with template names.

In another fixture file you need to declare that a certain record inherits an earlier defined record with $extend, just like with the templates:

# fixtures/deleted_post.yaml
inherits:
  - post
tables:
  posts:
    - $extend: regular_post
      is_deleted: true

Don't forget to declare the dependency between files in inherits, to make sure that one file is always loaded together with the other one.

It's important to note that record inheritance only works with different fixture files. It's not possible to declare inheritance within one file.

Record linking

Despite the fact that fixture files allow you to set values for autoincrement columns (usually id), it's not recommended doing it. It's very difficult to control that all the values for id are correct between different files and that they never interfere. In order to let the DB assign autoincrement values its enough to not set the value explicitly.

However, if the value for id is not set explicitly, how is it possible to link several entities that should reference each other with ids? Fixtures let us to reference previously inserted records by their name, using $refName.fieldName.

Let's declare a named record:

# fixtures/post.yaml
tables:
  posts:
    - $name: regular_post
      title: Post title
      text: Some text

Now, in order to link posts and comments tables, we can address the record using its name ($regular_post) and pass the field where the value should be taken from (id):

# fixtures/comment.yaml
tables:
  comments:
    - post_id: $regular_post.id
      content: A comment...
      author_name: John Doe

You can only reference fields of a previously inserted record. It's impossible to reference template fields, when trying to do that you'll get an undefined reference error.

Take a note of a limitation: you can't reference records within one table of one file.

Expressions

When you need to write an expression execution result to the DB and not a static value, you can use $eval() construct. Everything inside the brackets will be inserted into the DB as raw, non-escaped data. This way, within $eval() you can write everything you would in a regular query.

For instance, this construct allows the insertion of current date and time as a field value:

tables:
  comments:
    - created_at: $eval(NOW())

Aerospike

Fixtures for Aerospike are also supported. While using gonkey as CLI application do not forget the flag -db-type aerospike; add DbType: fixtures.Aerospike to runner's configuration if gonkey is used as library.

Fixtures files format is a bit different, yet the same basic principles applies:

sets:
  set1:
    key1:
      bin1: "value1"
      bin2: 1
    key2:
      bin1: "value2"
      bin2: 2
      bin3: 2.569947773654566473
  set2:
    key1:
      bin4: false
      bin5: null
      bin1: '"'
    key2:
      bin1: "'"
      bin5:
        - 1
        - '2'

Fixtures templates are also supported:

templates:
  base_tmpl:
    bin1: value1
  extended_tmpl:
    $extend: base_tmpl
    bin2: value2

sets:
  set1:
    key1:
      $extend: base_tmpl
      bin1: overwritten
  set2:
    key1:
      $extend: extended_tmpl
      bin2: overwritten

Records linking and expressions are currently not supported.

Redis

Supports loading test data with fixtures for redis key/value storage. While using gonkey as a CLI application do not forget the flag -db-type redis.

List of supported data structures:

Plain key/value
Set
Hash
List
ZSet (sorted set)

Fixture file example:

inherits:
  - template1
  - template2
  - other_fixture
templates:
  keys:
    - $name: parentKeyTemplate
      values:
        baseKey:
          expiration: 1s
          value: 1
    - $name: childKeyTemplate
      $extend: parentKeyTemplate
      values:
        otherKey:
          value: 2
  sets:
    - $name: parentSetTemplate
      expiration: 10s
      values:
        - value: a
    - $name: childSetTemplate
      $extend: parentSetTemplate
      values:
        - value: b
  hashes:
    - $name: parentHashTemplate
      values:
        - key: a
          value: 1
        - key: b
          value: 2
    - $name: childHashTemplate
      $extend: parentHashTemplate
      values:
        - key: c
          value: 3
        - key: d
          value: 4
  lists:
    - $name: parentListTemplate
      values:
        - value: 1
        - value: 2
    - $name: childListTemplate
      values:
        - value: 3
        - value: 4
  zsets:
    - $name: parentZSetTemplate
      values:
        - value: 1
          score: 2.1
        - value: 2
          score: 4.3
    - $name: childZSetTemplate
      value:
        - value: 3
          score: 6.5
        - value: 4
          score: 8.7
databases:
  1:
    keys:
      $extend: childKeyTemplate
      values:
        key1:
          value: value1
        key2:
          expiration: 10s
          value: value2
    sets:
      values:
        set1:
          $extend: childSetTemplate
          expiration: 10s
          values:
            - value: a
            - value: b
        set3:
          expiration: 5s
          values:
            - value: x
            - value: y
    hashes:
      values:
        map1:
          $extend: childHashTemplate
          values:
            - key: a
              value: 1
            - key: b
              value: 2
        map2:
          values:
            - key: c
              value: 3
            - key: d
              value: 4
    lists:
      values:
        list1:
          $extend: childListTemplate
          values:
            - value: 1
            - value: 100
            - value: 200
    zsets:
      values:
        zset1:
          $extend: childZSetTemplate
          values:
            - value: 5
              score: 10.1
  2:
    keys:
      values:
        key3:
          value: value3
        key4:
          expiration: 5s
          value: value4

Mocks

In order to imitate responses from external services, use mocks.

A mock is a web server that is running on-the-fly, and is populated with certain logic before the execution of each test. The logic defines what the server responses to a certain request. It's defined in the test file.

Running mocks while using gonkey as a library

Before running tests, all planned mocks are started. It means that gonkey spins up the given number of servers and each one of them gets a random port assigned.

// create empty server mocks
m := mocks.NewNop(
    "cart",
    "loyalty",
    "catalog",
    "madmin",
    "okz",
    "discounts",
)

// spin up mocks
err := m.Start()
if err != nil {
    t.Fatal(err)
}
defer m.Shutdown()

After spinning up the mock web-servers, we can get their addresses (host and port). Using those addresses, you can configure your service to send their requests to mocked servers instead of real ones.

// configuring and running the service
srv := server.NewServer(&server.Config{
 CartAddr:      m.Service("cart").ServerAddr(),
 LoyaltyAddr:   m.Service("loyalty").ServerAddr(),
 CatalogAddr:   m.Service("catalog").ServerAddr(),
 MadminAddr:    m.Service("madmin").ServerAddr(),
 OkzAddr:       m.Service("okz").ServerAddr(),
 DiscountsAddr: m.Service("discounts").ServerAddr(),
})
defer srv.Close()

As soon as you spinned up your mocks and configured your service, you can run the tests.

runner.RunWithTesting(t, &runner.RunWithTestingParams{
    Server:    srv,
    Directory: "tests/cases",
    Mocks:     m, // passing the mocks to the test runner
})

Additionally, the library registers special environment variables GONKEY_MOCK_<MOCK_NAME>, which contain the address and port of the corresponding mock server. You can use these environment variables when writing tests.

Mocks definition in the test file

Each test communicates a configuration to the mock-server before running. This configuration defines the responses for specific requests in the mock-server. The configuration is defined in a YAML-file with test in the mocks section.

The test file can contain any number of mock service definitions:

- name: Test with mocks
  ...
  mocks:
    service1:
      ...
    service2:
      ...
    service3:
      ...
  request:
    ...

Each mock-service definition consists of:

requestConstraints - an array of constraints that are applied on a received request. If at least one constraint is not satisfied, the test is considered failed. The list of all possible checks is provided below.

strategy - the strategy of mock responses. The list of all possible strategies is provided below.

The rest of the keys on the first nesting level are parameters to the strategy. Their variety is different for each strategy.

A configuration example for one mock-service:

  ...
  mocks:
    service1:
      requestConstraints:
        - ...
        - ...
      strategy: strategyName
      strategyParam1: ...
      strategyParam2: ...
    ...

Request constraints (requestConstraints)

The request to the mock-service can be validated using one or more constraints defined below.

The definition of each constraint contains of the kind parameter that indicates which constraint will be applied.

All other keys on this level are constraint parameters. Each constraint has its own parameter set.

nop

Empty constraint. Always successful.

No parameters.

Example:

  ...
  mocks:
    service1:
      requestConstraints:
        - kind: nop
    ...

bodyMatchesJSON

Checks that the request body is JSON, and it corresponds to the JSON defined in the body parameter.

Parameters:

body (mandatory) - expected JSON. All keys on all levels defined in this parameter must be present in the request body.

Example:

  ...
  mocks:
    service1:
      requestConstraints:
        # this check will demand that the request contains keys key1, key2 and subKey1
        # and their values set to value1 and value2. However, it's fine if the request has
        # other keys not mentioned here.
        - kind: bodyMatchesJSON
          body: >
            {
              "key1": "value1",
              "key2": {
                "subKey1": "value2",
              }
            }
    ...

bodyJSONFieldMatchesJSON

When request body is JSON, checks that value of particular JSON-field is string-packed JSON that matches to JSON defined in value parameter.

Parameters:

path (mandatory) - path to string field, containing JSON to check.
value (mandatory) - expected JSON.

Example:

Origin request that contains string-packed JSON

  {
      "field1": {
        "field2": "{\"stringpacked\": \"json\"}"
      }
  }

  ...
  mocks:
    service1:
      requestConstraints:
        - kind: bodyJSONFieldMatchesJSON
          path: field1.field2
          value: |
            {
              "stringpacked": "json"
            }
  ...

pathMatches

Checks that the request path corresponds to the expected one.

Parameters:

path - a string with the expected request path value;
regexp - a regular expression to check the path value against.

Example:

  ...
  mocks:
    service1:
      requestConstraints:
        - kind: pathMatches
          path: /api/v1/test/somevalue
    service2:
      requestConstraints:
        - kind: pathMatches
          regexp: ^/api/v1/test/.*$
    ...

queryMatches

Checks that the GET request parameters correspond to the ones defined in the query parameter.

Parameters:

expectedQuery (mandatory) - a list of parameters to compare the parameter string to. The order of parameters is not important.

Examples:

  ...
  mocks:
    service1:
      requestConstraints:
        # this check will demand that the request contains key1 и key2
        # and the values are key1=value1, key1=value11 и key2=value2.
        # Keys not mentioned here are omitted while running the check.
        - kind: queryMatches
          expectedQuery:  key1=value1&key2=value2&key1=value11
    ...

queryMatchesRegexp

Expands queryMatches so it can be used with regexp pattern matching.

Parameters:

expectedQuery (mandatory) - a list of parameters to compare the parameter string to. The order of parameters is not important.

Example:

  ...
  mocks:
    service1:
      requestConstraints:
        # works similarly to queryMatches with an addition of $matchRegexp usage
        - kind: queryMatchesRegexp
          expectedQuery:  key1=value1&key2=$matchRegexp(\\d+)&key1=value11
    ...

methodIs

Checks that the request method corresponds to the expected one.

Parameters:

method (mandatory) - string to compare the request method to.

There are also 2 short variations that don't require method parameter:

methodIsGET
methodIsPOST

Example:

  ...
  mocks:
    service1:
      requestConstraints:
        - kind: methodIs
          method: PUT
    service2:
      requestConstraints:
        - kind: methodIsPOST
    ...

headerIs

Checks that the request has the defined header and (optional) that its value either equals the pre-defined one or falls under the definition of a regular expression.

Parameters:

header (mandatory) - name of the header that is expected with the request;
value - a string with the expected request header value;
regexp - a regular expression to check the header value against.

Examples:

  ...
  mocks:
    service1:
      requestConstraints:
        - kind: headerIs
          header: Content-Type
          value: application/json
    service2:
      requestConstraints:
        - kind: headerIs
          header: Content-Type
          regexp: ^(application/json|text/plain)$
    ...

bodyMatchesText

Checks that the request has the defined body text, or it falls under the definition of a regular expression.

Parameters:

body - a string with the expected request body value;
regexp - a regular expression to check the body value against.

Examples:

  ...
  mocks:
    service1:
      requestConstraints:
        - kind: bodyMatchesText
            body: |-
              query HeroNameAndFriends {
                    hero {
                      name
                      friends {
                        name
                      }
                    }
                  }
    service2:
      requestConstraints:
        - kind: bodyMatchesText
            regexp: (HeroNameAndFriends)
    ...

bodyMatchesXML

Checks that the request body is XML, and it matches to the XML defined in the body parameter.

Parameters:

body (mandatory) - expected XML.

Example:

  ...
  mocks:
    service1:
      requestConstraints:
        - kind: bodyMatchesXML
          body: |
            <Person>
              <Company>Hogwarts School of Witchcraft and Wizardry</Company>
              <FullName>Harry Potter</FullName>
              <Email where="work">hpotter@hog.gb</Email>
              <Email where="home">hpotter@gmail.com</Email>
              <Addr>4 Privet Drive</Addr>
              <Group>
                <Value>Hexes</Value>
                <Value>Jinxes</Value>
              </Group>
            </Person>
  ...

Response strategies (strategy)

Response strategies define what mock will response to incoming requests.

nop

Empty strategy. All requests are served with 204 No Content and empty body.

No parameters.

Example:

  ...
  mocks:
    service1:
      strategy: nop
    ...

file

Returns a response read from a file.

Parameters:

filename (mandatory) - name of the file that contains the response body;
statusCode - HTTP-code of the response, the default value is 200;
headers - response headers.

Example:

  ...
  mocks:
    service1:
      strategy: file
      filename: responses/service1_success.json
      statusCode: 500
      headers:
        Content-Type: application/json
    ...

constant

Returns a defined response.

Parameters:

body (mandatory) - sets the response body;
statusCode - HTTP-code of the response, the default value is 200;
headers - response headers.

Example:

  ...
  mocks:
    service1:
      strategy: constant
      body: >
        {
          "status": "error",
          "errorCode": -32884,
          "errorMessage": "Internal error"
        }
      statusCode: 500
    ...

template

This strategy gives ability to use incoming request data into mock response. Implemented with package text/template. Automatically preload incoming request into variable named request.

Parameters:

body (mandatory) - sets the response body, must be valid text/template string;
statusCode - HTTP-code of the response, the default value is 200;
headers - response headers.

Example:

  ...
  mocks:
    service1:
      strategy: template
      body: >
        {
          "value-from-query": {{ .request.Query "value" }},
          "data-from-body": {{ default 10 .request.Json.data }}
        }
      statusCode: 200
    ...

uriVary

Uses different response strategies, depending on a path of a requested resource.

When receiving a request for a resource that is not defined in the parameters, the test will be considered failed.

Parameters:

uris (mandatory) - a list of resources, each resource can be configured as a separate mock-service using any available request constraints and response strategies (see example)
basePath - common base route for all resources, empty by default

Example:

  ...
  mocks:
    service1:
      strategy: uriVary
      basePath: /v2
      uris:
        /shelf/books:
          strategy: file
          filename: responses/books_list.json
          statusCode: 200
        /shelf/books/1:
          strategy: constant
          body: >
            {
              "error": "book not found"
            }
          statusCode: 404
    ...

methodVary

Uses various response strategies, depending on the request method.

When receiving a request with a method not defined in methodVary, the test will be considered failed.

Parameters:

methods (mandatory) - a list of methods, each method can be configured as a separate mock-service using any available request constraints and response strategies (see example)

Example:

  ...
  mocks:
    service1:
      strategy: methodVary
      methods:
        GET:
          # nothing stops us from using `uriVary` strategy here
          # this way we can form different responses to different
          # method+resource combinations
          strategy: constant
          body: >
            {
              "error": "book not found"
            }
          statusCode: 404
        POST:
          strategy: nop
          statusCode: 204
    ...

sequence

With this strategy for each consequent request you will get a reply defined by a consequent nested strategy.

If no nested strategy specified for a request, i.e. arrived more requests than nested strategies specified, the test will be considered failed.

Parameters:

sequence (mandatory) - list of nested strategies.

Example:

  ...
  mocks:
    service1:
      strategy: sequence
      sequence:
        # Responds with a different text on each consequent request:
        # "1" for first call, "2" for second call and so on.
        # For 5th and later calls response will be 404 Not Found.
        - strategy: constant
          body: '1'
        - strategy: constant
          body: '2'
        - strategy: constant
          body: '3'
        - strategy: constant
          body: '4'
    ...

basedOnRequest

Allows multiple requests with same request path. Concurrent safe.

When receiving a request for a resource that is not defined in the parameters, the test will be considered failed.

Parameters:

uris (mandatory) - a list of resources, each resource can be configured as a separate mock-service using any available request constraints and response strategies (see example)

Example:

  ...
  mocks:
    service1:
      strategy: basedOnRequest
      uris:
        - strategy: constant
          body: >
            {
              "ok": true
            }
          requestConstraints:
            - kind: queryMatches
              expectedQuery: "key=value1"
            - kind: pathMatches
              path: /request
        - strategy: constant
          body: >
            {
             "ok": true
            }
          requestConstraints:
            - kind: queryMatches
              expectedQuery: "key=value2"
            - kind: pathMatches
              path: /request
    ...

dropRequest

The strategy that by default drops the connection on any request. Used to emulate the network problems.

No parameters.

Example:

  ...
  mocks:
    service1:
      strategy: dropRequest
    ...

Calls count

You can define, how many times each mock or mock resource must be called (using uriVary). If the actual number of calls is different from expected, the test will be considered failed.

Example:

  ...
  mocks:
    service1:
      # must be called exactly one time
      calls: 1
      strategy: file
      filename: responses/books_list.json
  ...

  ...
  mocks:
    service1:
      strategy: uriVary
      uris:
        /shelf/books:
          # must be called exactly one time
          calls: 1
          strategy: file
          filename: responses/books_list.json
  ...

Shell scripts usage

When the test is ran, operations are performed in the following order:

Fixtures load
Mocks setup
beforeScript execute
HTTP-request sent
afterRequestScript execute
The checks are ran

Script definition

To define the script you need to provide 2 parameters:

path (mandatory) - string with a path to the script file.
timeout - time in seconds, is responsible for stopping the script on timeout. The default value is 3.

Example:

  ...
  afterRequestScript:
    path: './cli_scripts/cmd_recalculate.sh'
    # the timeout will be equal 10s
    timeout: 10
  ...

  ...
  beforeScript:
    path: './cli_scripts/cmd_recalculate.sh'
    # the timeout will be equal 10s
    timeout: 10
  ...

  ...
  beforeScript:
    path: './cli_scripts/cmd_recalculate.sh'
    # the timeout will equal 3s
  ...

Running a script with parameterization

When tests use parameterized requests, it's possible to use different scripts for each test run.

Example:

  ...
  beforeScript:
    path: |
      ./cli_scripts/{{.file_name}}
  ...
  cases:
    - requestArgs:
        customer_id: 1
        customer_email: "customer_1_recalculate@lamoda.ru"
      responseArgs:
        200:
          rrr: 1
          in_transit: 1
      beforeScriptArgs:
        file_name: "cmd_recalculate_customer_1.sh"

A DB query

After HTTP request execution you can run an SQL query to DB to check the data changes. The response can contain several records. Those records are compared to the expected list of records.

Test Format

You can use legacy style for run sql queries, like this:

- name: my test
  ...
  dbQuery: >
    SELECT ...
  dbResponse:
    - ...
    - ...

But, for now, already acceptable style is:

- name: my test
  ...
  dbChecks:
    - dbQuery: >
        SELECT ...
      dbResponse:
        - ...

With second variant, you can run any amount of needed queries, after test case runned. NOTE: All mentioned below techniques are still work with both variants of query format.

Query definition

Query is a SELECT that returns any number of strings.

dbQuery - a string that contains an SQL query.

Example:

  ...
  dbQuery: >
    SELECT code, purchase_date, partner_id FROM mark_paid_schedule AS m WHERE m.code = 'GIFT100000-000002'
  ...

Definition of DB request response

The response is a list of JSON objects that the DB request should return.

dbResponse - a string that contains a list of JSON objects.

Example:

  ...
  dbResponse:
    - '{"code":"GIFT100000-000002","purchase_date":"2330-02-02T13:15:11.912874","partner_id":1}'
    - '{"code":"GIFT100000-000003","purchase_date":"2330-02-02T13:15:11.912874","partner_id":1}'
    - '{"code":"$matchRegexp(GIFT([0-9]{6})-([0-9]{6}))","purchase_date":"2330-02-02T13:15:11.912874","partner_id":1}'

As you can see in this example, you can use Regexp for checking db response body.

  ...
  dbResponse:
    # empty list

DB request parameterization

As well as with the HTTP request body, we can use parameterized requests.

Example:

  ...
    dbQuery: >
      SELECT code, partner_id FROM mark_paid_schedule AS m WHERE DATE(m.purchase_date) BETWEEN '{{ .fromDate }}' AND '{{ .toDate }}'

    dbResponse:
      - '{"code":"{{ .cert1 }}","partner_id":1}'
      - '{"code":"{{ .cert2 }}","partner_id":1}'
  ...
    cases:
      ...
      dbQueryArgs:
        fromDate: "2330-02-01"
        toDate: "2330-02-05"
      dbResponseArgs:
        cert1: "GIFT100000-000002"
        cert2: "GIFT100000-000003"

When different tests contain different number of records, you can redefine the response for a specific test as a whole, while continuing to use a template with parameters in others.

Example:

  ...
    dbQuery: >
      SELECT code, partner_id FROM mark_paid_schedule AS m WHERE DATE(m.purchase_date) BETWEEN '{{ .fromDate }}' AND '{{ .toDate }}'

    dbResponse:
      - '{"code":"{{ .cert1 }}","partner_id":1}'
  ...
    cases:
      ...
      dbQueryArgs:
        fromDate: "2330-02-01"
        toDate: "2330-02-05"
      dbResponseArgs:
        cert1: "GIFT100000-000002"
      ...
      dbQueryArgs:
        fromDate: "2330-02-01"
        toDate: "2330-02-05"
      dbResponseFull:
        - '{"code":"GIFT100000-000002","partner_id":1}'
        - '{"code":"GIFT100000-000003","partner_id":1}'

Ignoring ordering in DB response

You can use ignoreDbOrdering flag in comparisonParams section to toggle DB response ordering ignore feature. This can be used to bypass using ORDER BY operators in query.

ignoreDbOrdering - true/false value.

Example:

  comparisonParams:
    ignoreDbOrdering: true
  ...
  dbQuery: >
    SELECT id, name, surname FROM users LIMIT 2

  dbResponse:
    - '{ "id": 2, "name": "John", "surname": "Doe" }'
    - '{ "id": 1, "name": "Jane", "surname": "Doe" }'

JSON-schema

Use file with schema to add syntax highlight to your favourite IDE and write Gonkey tests more easily.

It adds in-line documentation and auto-completion to any IDE that supports it.

Example in Jetbrains IDE: Example Jetbrains

Example in VSCode IDE: Example Jetbrains

Setup in Jetbrains IDE

Download file with schema. Open preferences File->Preferences In Languages & Frameworks > Schemas and DTDs > JSON Schema Mappings

Jetbrains IDE Settings

Add new schema

Add schema

Specify schema name, schema file, and select Schema version: Draft 7

Name, file, version

After that add mapping. You can choose from single file, directory, or file mask.

Mapping

Choose what suits you best.

Mapping pattern

Save your preferences. If you done everything right, you should not see No JSON Schema in bottom right corner

No Schema

Instead, you should see your schema name

Schema Name

Setup is VSCode IDE

At first, you need to download YAML Language plugin Open Extensions by going to Code(File)->Preferences->Extensions

VSCode Preferences

Look for YAML and install YAML Language Support by Red Hat

Yaml Extension

Open Settings by going to Code(File)->Preferences->Settings

Open Schema Settings by typing YAML:Schemas and click on Edit in settings.json Yaml link

Add file match to apply the JSON on YAML files.

"yaml.schemas": {
  "C:\\Users\\Leo\\gonkey.json": ["*.gonkey.yaml"]          
}

In the example above the JSON schema stored in C:\Users\Leo\gonkey.json will be applied on all the files that ends with .gonkey.yaml

lamoda / gonkey

readme

Gonkey: testing automation tool

Table of contents

Using the CLI

Using gonkey as a library

Test scenario example

Test status

HTTP-request

HTTP-response

Variables

Assignment

In the description of the test

From the response of the previous test

From the response of currently running test

From environment variables or from env-file

From cases

Files uploading

Fixtures

Deleting data from tables

Record templates

Record inheritance

Record linking

Expressions

Aerospike

Redis

Mocks

Running mocks while using gonkey as a library

Mocks definition in the test file

Request constraints (requestConstraints)

nop

bodyMatchesJSON

bodyJSONFieldMatchesJSON

pathMatches

queryMatches

queryMatchesRegexp

methodIs

headerIs

bodyMatchesText

bodyMatchesXML

Response strategies (strategy)

nop

file

constant

template

uriVary

methodVary

sequence

basedOnRequest

dropRequest

Calls count

Shell scripts usage

Script definition

Running a script with parameterization

A DB query

Test Format

Query definition

Definition of DB request response

DB request parameterization

Ignoring ordering in DB response

JSON-schema

Setup in Jetbrains IDE

Setup is VSCode IDE