typesense_python_quickstart_collection_create_index_search.py

1import typesense
2
3# Initialize the client
4client = typesense.Client({
5  'nodes': [{
6    'host': 'localhost', # For Typesense Cloud use xxx.a1.typesense.net
7    'port': '8108',      # For Typesense Cloud use 443
8    'protocol': 'http'   # For Typesense Cloud use https
9  }],
10  'api_key': 'xyz',
11  'connection_timeout_seconds': 2
12})
13
14# Create a collection
15schema = {
16  'name': 'books',
17  'fields': [
18    {'name': 'title', 'type': 'string' },
19    {'name': 'authors', 'type': 'string[]', 'facet': True },
20    {'name': 'publication_year', 'type': 'int32', 'facet': True },
21    {'name': 'ratings_count', 'type': 'int32' },
22    {'name': 'average_rating', 'type': 'float' }
23  ],
24  'default_sorting_field': 'ratings_count'
25}
26
27client.collections.create(schema)
28
29# Index a document
30book = {
31  'id': '1',
32  'title': 'The Hunger Games',
33  'authors': ['Suzanne Collins'],
34  'publication_year': 2008,
35  'ratings_count': 4780653,
36  'average_rating': 4.33
37}
38
39client.collections['books'].documents.create(book)
40
41# Search for a document
42search_parameters = {
43  'q'         : 'hunger',
44  'query_by'  : 'title',
45  'sort_by'   : 'ratings_count:desc'
46}
47
48result = client.collections['books'].documents.search(search_parameters)
49print(result)