Simple experiement on using suggestor in ES

suggestor.py

from datetime import datetime
from elasticsearch import Elasticsearch


es = Elasticsearch()
es.indices.create("brands")

# Mapping for suggester
# It should include [property]_suggest property for suggester
mapping = {
    "brand": {
        "properties": {
            "name": {"type": "string"},
            "name_suggest": {"type": "completion", "payloads": "false"}
            }
        }
    }

es.indices.put_mapping(index="brands", doc_type="brand", body=mapping)

# Indexing documents
brands = [
    {'name': 'advil', 'name_suggest': 'advil'},
    {'name': 'tylenol', 'name_suggest': 'tylenol'},
    {'name': 'motrin', 'name_suggest': 'motrin'}
]

for idx, brand in enumerate(brands):
    res = es.index(index="brands", doc_type='brand', id=idx, body=brand)
    print(res['created'])

es.indices.refresh(index="brands")

# Searching documents
res = es.search(index="brands", body={"query": {"match_all": {}}})
print("Got %d Hits:" % res['hits']['total'])
for hit in res['hits']['hits']:
    print("%(name)s" % hit["_source"])

# Use suggesters: https://goo.gl/uuWMwA
sugg_doc = {
           'suggestions' : {
                'text' : 'a',
                'completion' : {
                    'field' : 'name_suggest'
                }
            }
        }

res = es.suggest(body=sugg_doc, index="brands", params=None)
print(res)