typesense_quickstart_collection_create_index_and_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# Define a schema
15schema = {
16    'name': 'books',
17    'fields': [
18        {'name': 'title', 'type': 'string'},
19        {'name': 'authors', 'type': 'string[]'},
20        {'name': 'publication_year', 'type': 'int32'},
21        {'name': 'ratings_count', 'type': 'int32'},
22        {'name': 'average_rating', 'type': 'float'}
23    ],
24    'default_sorting_field': 'ratings_count'
25}
26
27# Create the collection
28client.collections.create(schema)
29
30# Index a document
31book_document = {
32    'title': 'The Hunger Games',
33    'authors': ['Suzanne Collins'],
34    'publication_year': 2008,
35    'ratings_count': 4780653,
36    'average_rating': 4.34
37}
38
39client.collections['books'].documents.create(book_document)
40
41# Search for documents
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)