/simmer

Primary LanguageRubyMIT LicenseMIT

Simmer


Gem Version Build Status Maintainability Test Coverage License: MIT

Note: This is not officially supported by Hitachi Vantara.

This library provides is a Ruby-based testing suite for Pentaho Data Integration. You can create specifications for Pentaho transformations and jobs then ensure they always run correctly.

Compatibility & Limitations

This library was tested against:

  • Kettle version 6.1.0.1-196
  • MacOS and Linux

Note that it also is currently limited to:

  • MySQL
  • Amazon Simple Storage Service

Future enhancements potentially could include breaking these out and making them plug-ins in order to support other database and cloud storage vendors/systems.

Installation

To install through Rubygems:

gem install simmer

You can also add this to your Gemfile:

bundle add simmer

After installation, you will need do to two things:

  1. Add simmer configuration file
  2. Add simmer directory

Simmer Configuration File

The configuration file contains information about external systems, such as:

  • Amazon Simple Storage Service
  • Local File System
  • Pentaho Data Integration
  • MySQL Database

Copy this configuration template into your project's root to: config/simmer.yaml:

# Automatically retry a test when it has failed this many times due to a timeout error:
timeout_failure_retry_count: 0

mysql_database:
  database:
  username:
  host:
  port:
  flags: MULTI_STATEMENTS

spoon_client:
  dir: spec/mocks/spoon
  args: 0

# local_file_system:
#  dir: tmp/store_test

# aws_file_system:
#   access_key_id:
#   bucket:
#   default_expires_in_seconds: 3600
#   encryption: AES256
#   region:
#   secret_access_key:

Note: You can configure any options for mysql_database listed in the mysql2 gem configuration options.

Fill out the missing configuration values required for each section. If you would like to use your local file system then un-comment the local_file_system key. If you would like to use AWS S3 then un-comment out the aws_file_system key.

Note: There is a naming-convention-based protection to help ensure non-test database and file systems do not get accidentally wiped that you must follow:

  1. Database names must end in `_test'
  2. local file system dir must end in -test
  3. AWS file system bucket must end in -test

Simmer Directory

You will also need to create the following folder structure in your project's root folder:

  • simmer/files: Place any files necessary to stage in this directory.
  • simmer/fixtures: Place YAML files, that describe database records, necessary to stage the database.
  • simmer/specs: Place specification YAML files here.

It does not matter how each of these directories are internally structured, they can contain folder structure in any arbitrary way. These directories should be version controlled as they contain the necessary information to execute your tests. But you may want to ignore the simmer/results directory as that will store the results after execution.

Getting Started

What is a Specification?

A specification is a blueprint for how to run a transformation or job and contains configuration for:

  • File system state before execution
  • Database state before execution
  • Execution command
  • Expected database state after execution
  • Expected execution output

Specification Example

The following is an example specification for a transformation:

name: Declassify Users
stage:
  files:
    src: noc_list.csv
    dest: input/noc_list.csv
  fixtures:
    - iron_man
    - hulk
act:
  name: load_noc_list
  repository: top_secret
  type: transformation
  params:
    files:
      input_file: noc_list.csv
    keys:
      code: 'The secret code is: {codes.the_secret_one}'
assert:
  assertions:
    - type: table
      name: agents
      records:
        - call_sign: iron_man
          first: tony
          last: stark
        - call_sign: hulk
          first: bruce
          last: banner
    - type: table
      name: agents
      logic: includes
      records:
        - last: stark
    - type: output
      value: output to stdout
Stage Section

The stage section defines the pre-execution state that needs to exist before PDI execution. There are two options:

  1. Files
  2. Fixtures
Files

Each file entry specifies two things:

  • src: the location of the file (relative to the simmer/files)
  • dest: where to copy it to (within the configured file system: local or S3)
Fixtures

Fixtures will populate the database specified in the mysql_database section of simmer.yaml. In order to do this you need to:

  1. Add the fixture to a YAML file in the simmer/fixtures directory.
  2. Add the name of the fixture you wish to use in the stage/fixtures section as illustrated above

Adding Fixtures

Fixtures live in YAML files within the simmer/fixtures directory. They can be placed in any arbitrary file, the only restriction is their top-level keys that uniquely identify a fixture. Here is an example of a fixture file:

hulk:
  table: agents
  fields:
    call_sign: hulk
    first: CLASSIFIED
    last: CLASSIFIED

iron_man:
  table: agents
  fields:
    call_sign: iron_man
    first: CLASSIFIED
    last: CLASSIFIED

This example specifies two fixtures: hulk and iron_man. Each will end up creating a record in the agents table with their respective attributes (columns).

Act Section

The act configuration contains the necessary information for invoking Pentaho through its Spoon script. The options are:

  • name: The name of the transformation or job
  • repository: The name of the Kettle repository
  • type: transformation or job
  • file params: key-value pairs to send through to Spoon as params. The values will be joined with and are relative to the simmer/files directory.
  • key params: key-value pairs to send through to Spoon as params.
Assert Section

The assert section contains the expected state of:

  • Database table contents
  • Pentaho output contents

Take the assert block from the example above:

assert:
  assertions:
    - type: table
      name: agents
      records:
        - call_sign: iron_man
          first: tony
          last: stark
        - call_sign: hulk
          first: bruce
          last: banner
    - type: table
      name: agents
      logic: includes
      records:
        - last: stark
    - type: output
      value: output to stdout

This contains two table and one output assertion. It explicitly states that:

  • The table agents should exactly contain two records with the column values as described (iron_man and hulk)
  • The table agents should include a record where the last name is stark
  • The standard output should contain the string described in the value somewhere in the log

Note: Output does not currently test the standard error, just the standard output.

Table Assertion Rules

Currently table assertions operate under a very rudimentary set of rules:

  • Record order does not matter
  • Each record being asserted should have the same keys compared
  • All values are asserted against their string coerced value
  • There is no concept of relationships or associations (yet)

Running Tests

After you have configured simmer and written a specification, you can run it by executing:

bundle exec simmer ./simmer/specs/name_of_the_spec.yaml

The passed in path can also be a directory and all specs in the directory (recursively) will be executed:

bundle exec simmer ./simmer/specs/some_directory

You can also omit the path altogether to execute all specs:

bundle exec simmer

Custom Configuration

It is possible to define custom test lifecycle hooks. These are very similar to Rspec. Here is an example of how to ensure that code called before and after the entire suite:

Simmer.configure do |config|
  config.before(:suite) { puts 'about to run the entire suite' }
  config.after(:suite) do |result|
    result_msg = result.passed? ? 'passed' : 'failed'
    puts "The suite #{result_msg}."
  end
end

Not that after callbacks taken an optional parameter which is the result object.

It is also possible to specify custom code which runs before and after each individual specification.

Simmer.configure do |config|
  config.before(:each) { puts 'I will run before each test' }
  config.after(:each) do |result|
    result_msg = result.passed? ? 'passed' : 'failed'
    puts "The specification #{result_msg}."
  end
end

Contributing

Development Environment Configuration

Basic steps to take to get this repository compiling:

  1. Install Ruby (check simmer.gemspec for versions supported)
  2. Install bundler (gem install bundler)
  3. Clone the repository (git clone git@github.com:bluemarblepayroll/simmer.git)
  4. Navigate to the root folder (cd simmer)
  5. Install dependencies (bundle)
  6. Create the 'simmer_test' MySQL database as defined in spec/db/tables.sql.
  7. Add the tables from spec/db/tables.sql to this database.
  8. Configure your test simmer.yaml:
cp spec/config/simmer.yaml.ci spec/config/simmer.yaml
```

9. Edit `spec/config/simmer.yaml` so that it can connect to the database created in step seven.

### Running Tests

To execute the test suite and code-coverage tool, run:

````bash
bundle exec rspec spec --format documentation

Alternatively, you can have Guard watch for changes:

bundle exec guard

Also, do not forget to run Rubocop:

bundle exec rubocop

or run all three in one command:

bundle exec rake

Publishing

Note: ensure you have proper authorization before trying to publish new versions.

After code changes have successfully gone through the Pull Request review process then the following steps should be followed for publishing new versions:

  1. Merge Pull Request into master
  2. Update lib/simmer/version.rb using semantic versioning
  3. Install dependencies: bundle
  4. Update CHANGELOG.md with release notes
  5. Commit & push master to remote and ensure CI builds master successfully
  6. Run bundle exec rake release, which will create a git tag for the version, push git commits and tags, and push the .gem file to rubygems.org.

Code of Conduct

Everyone interacting in this codebase, issue trackers, chat rooms and mailing lists is expected to follow the code of conduct.

License

This project is MIT Licensed.