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# Licensed to Elasticsearch B.V. under one or more contributor
# license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright
# ownership. Elasticsearch B.V. licenses this file to you under
# the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
import string
from random import choice
from typing import Any, Dict
import pytest
from pytest import raises
from elasticsearch.dsl import (
AsyncDocument,
AsyncIndex,
AsyncIndexTemplate,
Date,
Text,
analyzer,
)
class Post(AsyncDocument):
title = Text()
published_from = Date()
def test_multiple_doc_types_will_combine_mappings() -> None:
class User(AsyncDocument):
username = Text()
i = AsyncIndex("i")
i.document(Post)
i.document(User)
assert {
"mappings": {
"properties": {
"title": {"type": "text"},
"username": {"type": "text"},
"published_from": {"type": "date"},
}
}
} == i.to_dict()
def test_search_is_limited_to_index_name() -> None:
i = AsyncIndex("my-index")
s = i.search()
assert s._index == ["my-index"]
def test_cloned_index_has_copied_settings_and_using() -> None:
client = object()
i = AsyncIndex("my-index", using=client) # type: ignore[arg-type]
i.settings(number_of_shards=1)
i2 = i.clone("my-other-index")
assert "my-other-index" == i2._name
assert client is i2._using
assert i._settings == i2._settings
assert i._settings is not i2._settings
def test_cloned_index_has_analysis_attribute() -> None:
"""
Regression test for Issue #582 in which `AsyncIndex.clone()` was not copying
over the `_analysis` attribute.
"""
client = object()
i = AsyncIndex("my-index", using=client) # type: ignore[arg-type]
random_analyzer_name = "".join(choice(string.ascii_letters) for _ in range(100))
random_analyzer = analyzer(
random_analyzer_name, tokenizer="standard", filter="standard"
)
i.analyzer(random_analyzer)
i2 = i.clone("my-clone-index")
assert i.to_dict()["settings"]["analysis"] == i2.to_dict()["settings"]["analysis"]
def test_settings_are_saved() -> None:
i = AsyncIndex("i")
i.settings(number_of_replicas=0)
i.settings(number_of_shards=1)
assert {"settings": {"number_of_shards": 1, "number_of_replicas": 0}} == i.to_dict()
def test_registered_doc_type_included_in_to_dict() -> None:
i = AsyncIndex("i", using="alias")
i.document(Post)
assert {
"mappings": {
"properties": {
"title": {"type": "text"},
"published_from": {"type": "date"},
}
}
} == i.to_dict()
def test_registered_doc_type_included_in_search() -> None:
i = AsyncIndex("i", using="alias")
i.document(Post)
s = i.search()
assert s._doc_type == [Post]
def test_aliases_add_to_object() -> None:
random_alias = "".join(choice(string.ascii_letters) for _ in range(100))
alias_dict: Dict[str, Any] = {random_alias: {}}
index = AsyncIndex("i", using="alias")
index.aliases(**alias_dict)
assert index._aliases == alias_dict
def test_aliases_returned_from_to_dict() -> None:
random_alias = "".join(choice(string.ascii_letters) for _ in range(100))
alias_dict: Dict[str, Any] = {random_alias: {}}
index = AsyncIndex("i", using="alias")
index.aliases(**alias_dict)
assert index._aliases == index.to_dict()["aliases"] == alias_dict
def test_analyzers_added_to_object() -> None:
random_analyzer_name = "".join(choice(string.ascii_letters) for _ in range(100))
random_analyzer = analyzer(
random_analyzer_name, tokenizer="standard", filter="standard"
)
index = AsyncIndex("i", using="alias")
index.analyzer(random_analyzer)
assert index._analysis["analyzer"][random_analyzer_name] == {
"filter": ["standard"],
"type": "custom",
"tokenizer": "standard",
}
def test_analyzers_returned_from_to_dict() -> None:
random_analyzer_name = "".join(choice(string.ascii_letters) for _ in range(100))
random_analyzer = analyzer(
random_analyzer_name, tokenizer="standard", filter="standard"
)
index = AsyncIndex("i", using="alias")
index.analyzer(random_analyzer)
assert index.to_dict()["settings"]["analysis"]["analyzer"][
random_analyzer_name
] == {"filter": ["standard"], "type": "custom", "tokenizer": "standard"}
def test_conflicting_analyzer_raises_error() -> None:
i = AsyncIndex("i")
i.analyzer("my_analyzer", tokenizer="whitespace", filter=["lowercase", "stop"])
with raises(ValueError):
i.analyzer("my_analyzer", tokenizer="keyword", filter=["lowercase", "stop"])
def test_index_template_can_have_order() -> None:
i = AsyncIndex("i-*")
it = i.as_template("i", order=2)
assert {"index_patterns": ["i-*"], "order": 2} == it.to_dict()
@pytest.mark.asyncio
async def test_index_template_save_result(async_mock_client: Any) -> None:
it = AsyncIndexTemplate("test-template", "test-*")
assert await it.save(using="mock") == await async_mock_client.indices.put_template()
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