swiftype-app-search

⚠️ This repository is deprecated ⚠️

Please visit https://github.com/elastic/app-search-python for the up to date version. Thank you! - Elastic

A first-party Python client for building excellent, relevant search experiences with Elastic App Search.

Contents

• Getting started
• Dependencies
• Usage
• Running tests
• FAQ
• Contribute
• License

---

Getting started 🐣

To install the client, use pip:

python -m pip install swiftype_app_search

You can also download the project source and run::

python setup.py install

Dependencies

• Python 2.7 / Python 3.3
• Requests
• PyJWT

Usage

Instantiating a client

>>> from swiftype_app_search import Client
>>> host_identifier = 'host-c5s2mj'
>>> api_key = 'private-mu75psc5egt9ppzuycnc2mc3'
>>> client = Client(host_identifier, api_key)

Using with App Search Managed Deploys

The client can be configured to use a managed deploy by adjusting the base_endpoint and use_https parameters. Since managed deploys do not rely on a host_identifier, it can be omitted.

>>> from swiftype_app_search import Client
>>> client = Client(
    api_key='private-mu75psc5egt9ppzuycnc2mc3',
    base_endpoint='localhost:3002/api/as/v1',
    use_https=False
)

Indexing: Creating or Updating a Single Document

>>> engine_name = 'favorite-videos'
>>> document = {
      'id': 'INscMGmhmX4',
      'url': 'https://www.youtube.com/watch?v=INscMGmhmX4',
      'title': 'The Original Grumpy Cat',
      'body': 'A wonderful video of a magnificent cat.'
    }
>>> client.index_document(engine_name, document)
{'id': 'INscMGmhmX4'}

Indexing: Creating or Updating Multiple Documents

>>> engine_name = 'favorite-videos'
>>> documents = [
    {
      'id': 'INscMGmhmX4',
      'url': 'https://www.youtube.com/watch?v=INscMGmhmX4',
      'title': 'The Original Grumpy Cat',
      'body': 'A wonderful video of a magnificent cat.'
    },
    {
      'id': 'JNDFojsd02',
      'url': 'https://www.youtube.com/watch?v=dQw4w9WgXcQ',
      'title': 'Another Grumpy Cat',
      'body': 'A great video of another cool cat.'
    }
]

>>> client.index_documents(engine_name, documents)
[{'id': 'INscMGmhmX4', 'errors': []}, {'id': 'JNDFojsd02', 'errors': []}]

Indexing: Updating documents (Partial Updates)

>>> engine_name = 'favorite-videos'
>>> documents = [
    {
      'id': 'INscMGmhmX4',
      'title': 'Updated title'
    }
]

>>> client.update_documents(engine_name, documents)

Get Documents

>>> engine_name = 'favorite-videos'
>>> client.get_documents(engine_name, ['INscMGmhmX4'])
[{'id': 'INscMGmhmX4','url': 'https://www.youtube.com/watch?v=INscMGmhmX4','title': 'The Original Grumpy Cat','body': 'A wonderful video of a magnificent cat.'}]

List Documents

>>> engine_name = 'favorite-videos'
>>> client.list_documents(engine_name, current=1, size=20)
{
    'meta': {
        'page': {
        'current': 1,
        'total_pages': 1,
        'total_results': 2,
        'size': 20
        }
    },
    'results': [{'id': 'INscMGmhmX4','url': 'https://www.youtube.com/watch?v=INscMGmhmX4','title': 'The Original Grumpy Cat','body': 'A wonderful video of a magnificent cat.'}]
}

Destroy Documents

>>> engine_name = 'favorite-videos'
>>> client.destroy_documents(engine_name, ['INscMGmhmX4'])
[{'id': 'INscMGmhmX4','result': True}]

Get Schema

>>> engine_name = 'favorite-videos'
>>> client.get_schema(engine_name)
{'name':'text', 'square_km': 'number', 'square_mi': 'text'}

Create/Update Schema

>>> engine_name = 'favorite-videos'
>>> client.update_schema(engine_name, {'square_km': 'text'})
{'square_km': 'text'}
>>> client.update_schema(engine_name, {'square_mi': 'text'})
{'square_km': 'text', 'square_mi': 'text'}
>>> client.update_schema(engine_name, {'square_km': 'number'})
{'square_km': 'number', 'square_mi': 'text'}

List Engines

>>> client.list_engines(current=1, size=20)
{
    'meta': {
        'page': {
        'current': 1,
        'total_pages': 1,
        'total_results': 2,
        'size': 20
        }
    },
    'results': [{'name': 'favorite-videos'}, {'name': 'another-engine'}]
}

Get an Engine

>>> client.get_engine('favorite-videos')
{'name': 'favorite-videos'}

Create an Engine

>>> client.create_engine('favorite-videos', 'en')
{'name': 'favorite-videos', 'type': 'default', 'language': 'en'}

Destroy an Engine

>>> client.destroy_engine('favorite-videos')
{'deleted': True}

Searching

>>> client.search('favorite-videos', 'grumpy cat', {})
{'meta': {'page': {'current': 1, 'total_pages': 1, 'total_results': 2, 'size': 10}, ...}, 'results': [...]}

Multi-Search

>>> client.multi_search('favorite-videos', [{
  'query': 'cat',
  'options': { 'search_fields': { 'title': {} }}
},{
  'query': 'dog',
  'options': { 'search_fields': { 'body': {} }}
}])
[{'meta': {...}, 'results': [...]}, {'meta': {...}, 'results': [...]}]

Query Suggestion

>>> client.query_suggestion('favorite-videos', 'cat', {
  'size': 10,
  'types': {
    'documents': {
      'fields': ['title']
    }
  }
})
{'results': {'documents': [{'suggestion': 'cat'}]}, 'meta': {'request_id': '390be384ad5888353e1b32adcfaaf1c9'}}

Clickthrough Tracking

>>> client.click(engine_name, {'query': 'cat', 'document_id': 'INscMGmhmX4'})

Create a Signed Search Key

Creating a search key that will only search over the body field.

>>> api_key = 'private-mu75psc5egt9ppzuycnc2mc3'
>>> api_key_name = 'my-api-token'
>>> signed_search_key = Client.create_signed_search_key(api_key, api_key_name, {'search_fields': { 'body': {}}})
>>> client = Client(host_identifier, signed_search_key)

Running tests

python setup.py test

FAQ 🔮

Where do I report issues with the client?

If something is not working as expected, please open an issue.

Where can I learn more about App Search?

Your best bet is to read the documentation.

Where else can I go to get help?

You can checkout the Elastic App Search community discuss forums.

Contribute 🚀

We welcome contributors to the project. Before you begin, a couple notes:

• Prior to opening a pull request, please create an issue to discuss the scope of your proposal.
• Please write simple code and concise documentation, when appropriate.

License 📗

MIT © Elastic

Thank you to all the contributors!