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02795e526c
* jsonbfield supports json querying. jsonfield package is still a jsonb postgres data type, but doesn't support jsonb style querying. * add undo migration support to GIN index
83 lines
3.8 KiB
Python
83 lines
3.8 KiB
Python
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# Python
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import pytest
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from pyparsing import ParseException
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# AWX
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from awx.main.fields import DynamicFilterField
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# Django
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from django.db.models import Q
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class TestDynamicFilterFieldFilterStringToQ():
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@pytest.mark.parametrize("filter_string,q_expected", [
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('facts__facts__blank=""', Q(facts__facts__blank="")),
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('"facts__facts__ space "="f"', Q(**{ "facts__facts__ space ": "f"})),
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('"facts__facts__ e "=no_quotes_here', Q(**{ "facts__facts__ e ": "no_quotes_here"})),
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('a__b__c=3', Q(**{ "a__b__c": 3})),
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('a__b__c=3.14', Q(**{ "a__b__c": 3.14})),
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('a__b__c=true', Q(**{ "a__b__c": True})),
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('a__b__c=false', Q(**{ "a__b__c": False})),
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('a__b__c="true"', Q(**{ "a__b__c": "true"})),
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#('"a__b\"__c"="true"', Q(**{ "a__b\"__c": "true"})),
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#('a__b\"__c="true"', Q(**{ "a__b\"__c": "true"})),
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])
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def test_query_generated(self, filter_string, q_expected):
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q = DynamicFilterField.filter_string_to_q(filter_string)
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assert str(q) == str(q_expected)
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@pytest.mark.parametrize("filter_string", [
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'facts__facts__blank='
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'a__b__c__ space =ggg',
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])
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def test_invalid_filter_strings(self, filter_string):
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with pytest.raises(ParseException):
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DynamicFilterField.filter_string_to_q(filter_string)
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@pytest.mark.parametrize("filter_string,q_expected", [
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(u'(a=abc\u1F5E3def)', Q(**{u"a": u"abc\u1F5E3def"})),
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])
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def test_unicode(self, filter_string, q_expected):
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q = DynamicFilterField.filter_string_to_q(filter_string)
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assert str(q) == str(q_expected)
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@pytest.mark.parametrize("filter_string,q_expected", [
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('(a=b)', Q(**{"a": "b"})),
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('a=b and c=d', Q(**{"a": "b"}) & Q(**{"c": "d"})),
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('(a=b and c=d)', Q(**{"a": "b"}) & Q(**{"c": "d"})),
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('a=b or c=d', Q(**{"a": "b"}) | Q(**{"c": "d"})),
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('(a=b and c=d) or (e=f)', (Q(**{"a": "b"}) & Q(**{"c": "d"})) | (Q(**{"e": "f"}))),
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('(a=b) and (c=d or (e=f and (g=h or i=j))) or (y=z)', Q(**{"a": "b"}) & (Q(**{"c": "d"}) | (Q(**{"e": "f"}) & (Q(**{"g": "h"}) | Q(**{"i": "j"})))) | Q(**{"y": "z"}))
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])
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def test_boolean_parenthesis(self, filter_string, q_expected):
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q = DynamicFilterField.filter_string_to_q(filter_string)
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assert str(q) == str(q_expected)
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@pytest.mark.parametrize("filter_string,q_expected", [
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('a__b__c[]=3', Q(**{ "a__b__c__contains": 3})),
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('a__b__c[]=3.14', Q(**{ "a__b__c__contains": 3.14})),
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('a__b__c[]=true', Q(**{ "a__b__c__contains": True})),
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('a__b__c[]=false', Q(**{ "a__b__c__contains": False})),
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('a__b__c[]="true"', Q(**{ "a__b__c__contains": "\"true\""})),
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('a__b__c[]="hello world"', Q(**{ "a__b__c__contains": "\"hello world\""})),
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('a__b__c[]__d[]="foobar"', Q(**{ "a__b__c__contains": [{"d": ["foobar"]}]})),
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('a__b__c[]__d="foobar"', Q(**{ "a__b__c__contains": [{"d": "foobar"}]})),
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('a__b__c[]__d__e="foobar"', Q(**{ "a__b__c__contains": [{"d": {"e": "foobar"}}]})),
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('a__b__c[]__d__e[]="foobar"', Q(**{ "a__b__c__contains": [{"d": {"e": ["foobar"]}}]})),
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('a__b__c[]__d__e__f[]="foobar"', Q(**{ "a__b__c__contains": [{"d": {"e": {"f": ["foobar"]}}}]})),
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('(a__b__c[]__d__e__f[]="foobar") and (a__b__c[]__d__e[]="foobar")', Q(**{ "a__b__c__contains": [{"d": {"e": {"f": ["foobar"]}}}]}) & Q(**{ "a__b__c__contains": [{"d": {"e": ["foobar"]}}]})),
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#('"a__b\"__c"="true"', Q(**{ "a__b\"__c": "true"})),
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#('a__b\"__c="true"', Q(**{ "a__b\"__c": "true"})),
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])
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def test_contains_query_generated(self, filter_string, q_expected):
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q = DynamicFilterField.filter_string_to_q(filter_string)
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assert str(q) == str(q_expected)
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'''
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#('"facts__quoted_val"="f\"oo"', 1),
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#('facts__facts__arr[]="foo"', 1),
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#('facts__facts__arr_nested[]__a[]="foo"', 1),
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'''
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