es-testbed 0.8.4

Library to help with building and tearing down indices, data streams, repositories and snapshots

es-testbed

A way to create indices, datastreams, and snapshots to facilitate testing.

Preliminary Documentation

1. Create a Preset

Create a preset directory. An example preset directory is in src/es_testbed/presets/searchable_test.

Your preset directory must include the following files:

• A plan YAML file, e.g. plan.yml
• A buildlist YAML file, e.g. buildlist.yml
• A functions.py file (the actual python code), which must contain a function named doc_generator(). This function must accept all kwargs from the buildlist's options
• A definitions.py file, which is a Python variable file that helps find the path to the module, etc., as well as import the plan, the buildlist, the mappings and settings, etc. This must at least include a get_plan() function that returns a dictionary of a built/configured plan.
• A mappings.json file (contains the index mappings your docs need)
• A settings.json file (contains the index settings) Any other files can be included to help your doc_generator function, e.g. Faker definitions and classes, etc. Once the preset module is imported, relative imports should work.

Note: If ilm['enabled'] == False, the other subkeys will be ignored. In fact, ilm: False is also acceptable.

Acceptable values for readonly are the tier names where readonly is acceptable: hot, warm, or cold.

Save this for step 2.

2. Create a TestBed

Must have an Elasticsearch client established to proceed

from es_testbed import TestBed

tb = TestBed(client, **kwargs)

For a builtin preset, like searchable_test, this is:

tb = TestBed(client, builtin='searchable_test', scenario=None)

scenario can be one of many, if configured.

For using your own preset in a filesystem path:

tb = TestBed(client, path='/path/to/preset/dir')

path must be a directory.

For importing from a Git repository:

tb = TestBed(client, url='user:token@https://github.com/GITUSER/reponame.git', ref='main', path='subpath/to/preset')

Note that user:token@ is only necessary if it's a protected repository. In this case path must be a subdirectory of the repository. depth=1 is manually set, so only the most recent bits will be pulled into a tmpdir, which will be destroyed as part of teardown().

2.1 Index Template creation (behind the scenes)

Based on the settings in step 1, you will have 2 component templates and one index template that references them:

Component Template 1

es-testbed-cmp-mytest-000001

Settings:

{'index.number_of_replicas': 0}

If using a rollover_alias or ILM Policy, then additional values will automatically be added.

Component Template 2

es-testbed-cmp-mytest-000002

Mappings:

{
    'properties': {
        '@timestamp': {'type': 'date'},
        'message': {'type': 'keyword'},
        'number': {'type': 'long'},
        'nested': {'properties': {'key': {'type': 'keyword'}}},
        'deep': {'properties': {'l1': {'properties': {'l2': {
            'properties': {'l3': {'type': 'keyword'}}}}}}
        }
    }
}

Index Template

es-testbed-tmpl-mytest-000001

2.2 You have indices

Based on what was provided in step 1, you will have 3 indices with a basic mapping, and 10 documents each:

es-testbed-idx-mytest-000001
es-testbed-idx-mytest-000002
es-testbed-idx-mytest-000003

Documents will have been added per the TestPlan settings. The orthography for these documents is in es_testbed.helpers.utils.doc_gen(). Counts are preserved and continue to grow from one index to the next.

3. Perform your tests.

This is where the testing can be performed.

4. Teardown

tb.teardown()

Barring anything unusual happening, all indices, data_streams, ILM policies, index & component templates, and snapshots (if an index is promoted to searchable snapshots) will be deleted as part of the teardown() method.