test_builders.test_label_converter__value__falsy() - Code Metrics - Inspection of "refactor + update tests" - erivlis/graphinate - Measure and Improve Code Quality continuously with Scrutinizer

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by Eran

created 2025-02-25 08:02 UTC

test_builders.test_label_convertervaluefalsy() A

↳ Parent: test_builders

Complexity

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Size

Total Lines	4
Code Lines	4

Duplication

Lines	0
Ratio	0 %

Importance

Changes

Metric	Value
cc	1
eloc	4
nop	1
dl	0
loc	4
rs	10
c	0
b	0
f	0

import networkx as nx
import pytest

import graphinate
import graphinate.builders
from graphinate import GraphType

graph_types = [
    (nx.Graph(), GraphType.Graph),
    (nx.DiGraph(), GraphType.DiGraph),
    (nx.MultiGraph(), GraphType.MultiGraph),
    (nx.MultiDiGraph(), GraphType.MultiDiGraph)
]


@pytest.mark.parametrize(('graph', 'expected_graph_type'), graph_types)
def test_returns_graph_type_for_graph(graph, expected_graph_type):
    # Act
    actual_graph_type = GraphType.of(graph)

    # Assert
    assert actual_graph_type == expected_graph_type


def test_networkx_builder__empty_model():
    # arrange
    name = ""
    graph_model = graphinate.model(name=name)

    # act
    builder = graphinate.builders.NetworkxBuilder(graph_model)
    graph = builder.build()

    # assert
    assert isinstance(graph, nx.Graph)
    assert graph.graph['name'] == name


@pytest.mark.parametrize('graph_type', list(graphinate.GraphType))
def test_networkx_builder__graph_type(graph_type):
    # arrange
    name = str(graph_type)
    graph_model = graphinate.model(name=name)

    @graph_model.edge()
    def edge():
        for i in range(5):
            yield {'source': i, 'target': i + 1}
            if graph_type in (graphinate.GraphType.DiGraph, graphinate.GraphType.MultiDiGraph):
                yield {'source': i + 1, 'target': i}
            if graph_type in (graphinate.GraphType.MultiGraph, graphinate.GraphType.MultiDiGraph):
                yield {'source': i, 'target': i + 1}

    # act
    builder = graphinate.builders.NetworkxBuilder(graph_model, graph_type=graph_type)
    graph = builder.build()

    # assert
    assert isinstance(graph, nx.Graph)
    assert graph.graph['name'] == name


def test_networkx_builder_repeating_nodes():
    # arrange
    name = 'Repeating Nodes'
    graph_model = graphinate.GraphModel(name=name)

    @graph_model.node()
    def node():
        for i in range(5):
            yield i
            yield i

    # act
    builder = graphinate.builders.NetworkxBuilder(graph_model)
    graph: nx.Graph = builder.build()

    # assert
    assert isinstance(graph, nx.Graph)
    assert graph.graph['name'] == name
    assert all(graph.nodes[n]['magnitude'] == 2 for n in graph)


@pytest.mark.parametrize('weight', [1.0, 1.5])
def test_networkx_builder_repeating_edges(weight):
    # arrange
    name = 'Repeating Edges'
    graph_model = graphinate.GraphModel(name=name)

    @graph_model.edge(weight=weight)
    def edge():
        for i in range(5):
            e = {'source': i, 'target': i + 1}
            yield e
            yield e

    # act
    builder = graphinate.builders.NetworkxBuilder(graph_model)
    graph = builder.build()

    # assert
    assert isinstance(graph, nx.Graph)
    assert graph.graph['name'] == name
    assert all(m == weight * 2 for *_, m in graph.edges.data('weight'))


def test_networkx_builder_simple_tuple():
    # arrange
    name = 'Simple Tuple'
    graph_model = graphinate.GraphModel(name=name)

    @graph_model.edge()
    def edge():
        for i in range(5):
            yield {'source': (i,), 'target': (i + 1,)}

    # act
    builder = graphinate.builders.NetworkxBuilder(graph_model)
    graph = builder.build()

    # assert
    assert isinstance(graph, nx.Graph)
    assert graph.graph['name'] == name


@pytest.mark.parametrize('execution_number', range(5))
def test_networkx_builder__map_graph_model(execution_number, map_graph_model):
    # arrange
    country_count, city_count, graph_model = map_graph_model
    person_count = city_count

    # act
    builder = graphinate.builders.NetworkxBuilder(graph_model)
    graph = builder.build()

    # assert
    assert graph.order() == country_count + city_count + person_count
    assert graph.graph['node_types']['country'] == country_count
    assert graph.graph['node_types']['city'] == city_count


@pytest.mark.parametrize('execution_number', range(5))
def test_d3_builder__map_graph_model(execution_number, map_graph_model):
    # arrange
    country_count, city_count, graph_model = map_graph_model
    person_count = city_count

    # act
    builder = graphinate.builders.D3Builder(graph_model)
    actual_graph = builder.build()

    # assert
    assert actual_graph['directed'] is False
    assert actual_graph['multigraph'] is False
    assert actual_graph['graph']['name'] == 'Map'
    assert actual_graph['graph']['node_types']['country'] == country_count
    assert actual_graph['graph']['node_types']['city'] == city_count
    assert len(actual_graph['nodes']) == country_count + city_count + person_count


def test_d3_builder__map_graph_model__both_specific_ids(map_graph_model):
    # arrange
    _, _, graph_model = map_graph_model

    # act
    builder = graphinate.builders.D3Builder(graph_model)
    actual_graph = builder.build(country_id="1", city_id="1")

    # assert
    assert actual_graph['directed'] is False
    assert actual_graph['multigraph'] is False
    assert actual_graph['graph']['name'] == 'Map'
    assert actual_graph['graph']['node_types'].get('city', 0) in (0, 1)
    assert actual_graph['graph']['node_types']['country'] == 1
    assert len(actual_graph['nodes']) in (1, 3)


@pytest.mark.parametrize('execution_number', range(5))
def test_graphql_builder__map_graph_model(execution_number, map_graph_model, graphql_query):
    # arrange
    expected_country_count, expected_city_count, graph_model = map_graph_model
    expected_person_count = expected_city_count

    # act
    builder = graphinate.builders.GraphQLBuilder(graph_model)

    import strawberry
    schema: strawberry.Schema = builder.build()
    execution_result = schema.execute_sync(graphql_query)
    actual_graph = execution_result.data

    # assert
    assert actual_graph
    assert actual_graph['graph']
    assert actual_graph['nodes']
    assert actual_graph['edges']
    assert actual_graph['graph']['name'] == 'Map'
    node_types_counts = {c['name']: c['value'] for c in actual_graph['graph']['nodeTypeCounts']}
    assert node_types_counts['country'] == expected_country_count
    assert node_types_counts['city'] == expected_city_count
    assert len(actual_graph['nodes']) == expected_country_count + expected_city_count + expected_person_count


graphql_operations_cases = [
    ("""{
      empty: measure(measure: is_empty){...Details}
      directed: measure(measure: is_directed){...Details}
      planar: measure(measure: is_planar){...Details}
      connectivity: measure(measure: is_connected){...Details}
      node_connectivity: measure(measure: node_connectivity){...Details}
      threshold_graph: measure(measure: is_threshold_graph){...Details}
    }
    fragment Details on Measure {name value}
    """, {
        "empty": {
            "name": "is_empty",
            "value": 0
        },
        "directed": {
            "name": "is_directed",
            "value": 0
        },
        "planar": {
            "name": "is_planar",
            "value": 1
        },
        "connectivity": {
            "name": "is_connected",
            "value": 1
        },
        "node_connectivity": {
            "name": "node_connectivity",
            "value": 2
        },
        "threshold_graph": {
            "name": "is_threshold_graph",
            "value": 0
        }
    }),
    ("""query Graph {nodes(nodeId: "WzBd") {type label} edges(edgeId: "WyJXekJkIiwgIld6RmQiXQ==") {type label}}""",
     # noqa: E501
     {
         "nodes": [
             {
                 "type": "node",
                 "label": "0"
             }
         ],
         "edges": [
             {
                 "type": "edge",
                 "label": "0 ⟹ 1"
             }
         ]
     }),
    ("mutation {refresh}", {'refresh': True})
]


@pytest.mark.parametrize(('graphql_query', 'expected_response'), graphql_operations_cases)
def test_graphql_builder_query(octagonal_graph_model, graphql_query, expected_response):
    # act
    builder = graphinate.builders.GraphQLBuilder(octagonal_graph_model)

    import strawberry
    schema: strawberry.Schema = builder.build(
        default_node_attributes=graphinate.builders.Builder.default_node_attributes
    )
    execution_result = schema.execute_sync(graphql_query)
    actual_response = execution_result.data

    # assert
    assert actual_response == expected_response


def test_graphql_builder__ast_model__graph_query(ast_graph_model, graphql_query):
    # act
    builder = graphinate.builders.GraphQLBuilder(ast_graph_model)
    import strawberry
    schema: strawberry.Schema = builder.build()
    execution_result = schema.execute_sync(graphql_query)
    actual_graph = execution_result.data

    # assert
    assert actual_graph
    assert actual_graph['graph']
    assert actual_graph['nodes']
    assert actual_graph['edges']
    assert actual_graph['graph']['name'] == 'AST Graph'
    node_types_counts = {c['name']: c['value'] for c in actual_graph['graph']['nodeTypeCounts']}
    assert node_types_counts


1			import networkx as nx
2			import pytest
3
4			import graphinate
5			import graphinate.builders
6			from graphinate import GraphType
7
8			graph_types = [
9			(nx.Graph(), GraphType.Graph),
10			(nx.DiGraph(), GraphType.DiGraph),
11			(nx.MultiGraph(), GraphType.MultiGraph),
12			(nx.MultiDiGraph(), GraphType.MultiDiGraph)
13			]
14
15
16			@pytest.mark.parametrize(('graph', 'expected_graph_type'), graph_types)
17			def test_returns_graph_type_for_graph(graph, expected_graph_type):
18			# Act
19			actual_graph_type = GraphType.of(graph)
20
21			# Assert
22			assert actual_graph_type == expected_graph_type
23
24
25			def test_networkx_builder__empty_model():
26			# arrange
27			name = ""
28			graph_model = graphinate.model(name=name)
29
30			# act
31			builder = graphinate.builders.NetworkxBuilder(graph_model)
32			graph = builder.build()
33
34			# assert
35			assert isinstance(graph, nx.Graph)
36			assert graph.graph['name'] == name
37
38
39			@pytest.mark.parametrize('graph_type', list(graphinate.GraphType))
40			def test_networkx_builder__graph_type(graph_type):
41			# arrange
42			name = str(graph_type)
43			graph_model = graphinate.model(name=name)
44
45			@graph_model.edge()
46			def edge():
47			for i in range(5):
48			yield {'source': i, 'target': i + 1}
49			if graph_type in (graphinate.GraphType.DiGraph, graphinate.GraphType.MultiDiGraph):
50			yield {'source': i + 1, 'target': i}
51			if graph_type in (graphinate.GraphType.MultiGraph, graphinate.GraphType.MultiDiGraph):
52			yield {'source': i, 'target': i + 1}
53
54			# act
55			builder = graphinate.builders.NetworkxBuilder(graph_model, graph_type=graph_type)
56			graph = builder.build()
57
58			# assert
59			assert isinstance(graph, nx.Graph)
60			assert graph.graph['name'] == name
61
62
63			def test_networkx_builder_repeating_nodes():
64			# arrange
65			name = 'Repeating Nodes'
66			graph_model = graphinate.GraphModel(name=name)
67
68			@graph_model.node()
69			def node():
70			for i in range(5):
71			yield i
72			yield i
73
74			# act
75			builder = graphinate.builders.NetworkxBuilder(graph_model)
76			graph: nx.Graph = builder.build()
77
78			# assert
79			assert isinstance(graph, nx.Graph)
80			assert graph.graph['name'] == name
81			assert all(graph.nodes[n]['magnitude'] == 2 for n in graph)
82
83
84			@pytest.mark.parametrize('weight', [1.0, 1.5])
85			def test_networkx_builder_repeating_edges(weight):
86			# arrange
87			name = 'Repeating Edges'
88			graph_model = graphinate.GraphModel(name=name)
89
90			@graph_model.edge(weight=weight)
91			def edge():
92			for i in range(5):
93			e = {'source': i, 'target': i + 1}
94			yield e
95			yield e
96
97			# act
98			builder = graphinate.builders.NetworkxBuilder(graph_model)
99			graph = builder.build()
100
101			# assert
102			assert isinstance(graph, nx.Graph)
103			assert graph.graph['name'] == name
104			assert all(m == weight * 2 for *_, m in graph.edges.data('weight'))
105
106
107			def test_networkx_builder_simple_tuple():
108			# arrange
109			name = 'Simple Tuple'
110			graph_model = graphinate.GraphModel(name=name)
111
112			@graph_model.edge()
113			def edge():
114			for i in range(5):
115			yield {'source': (i,), 'target': (i + 1,)}
116
117			# act
118			builder = graphinate.builders.NetworkxBuilder(graph_model)
119			graph = builder.build()
120
121			# assert
122			assert isinstance(graph, nx.Graph)
123			assert graph.graph['name'] == name
124
125
126			@pytest.mark.parametrize('execution_number', range(5))
127			def test_networkx_builder__map_graph_model(execution_number, map_graph_model):
128			# arrange
129			country_count, city_count, graph_model = map_graph_model
130			person_count = city_count
131
132			# act
133			builder = graphinate.builders.NetworkxBuilder(graph_model)
134			graph = builder.build()
135
136			# assert
137			assert graph.order() == country_count + city_count + person_count
138			assert graph.graph['node_types']['country'] == country_count
139			assert graph.graph['node_types']['city'] == city_count
140
141
142			@pytest.mark.parametrize('execution_number', range(5))
143			def test_d3_builder__map_graph_model(execution_number, map_graph_model):
144			# arrange
145			country_count, city_count, graph_model = map_graph_model
146			person_count = city_count
147
148			# act
149			builder = graphinate.builders.D3Builder(graph_model)
150			actual_graph = builder.build()
151
152			# assert
153			assert actual_graph['directed'] is False
154			assert actual_graph['multigraph'] is False
155			assert actual_graph['graph']['name'] == 'Map'
156			assert actual_graph['graph']['node_types']['country'] == country_count
157			assert actual_graph['graph']['node_types']['city'] == city_count
158			assert len(actual_graph['nodes']) == country_count + city_count + person_count
159
160
161			def test_d3_builder__map_graph_model__both_specific_ids(map_graph_model):
162			# arrange
163			_, _, graph_model = map_graph_model
164
165			# act
166			builder = graphinate.builders.D3Builder(graph_model)
167			actual_graph = builder.build(country_id="1", city_id="1")
168
169			# assert
170			assert actual_graph['directed'] is False
171			assert actual_graph['multigraph'] is False
172			assert actual_graph['graph']['name'] == 'Map'
173			assert actual_graph['graph']['node_types'].get('city', 0) in (0, 1)
174			assert actual_graph['graph']['node_types']['country'] == 1
175			assert len(actual_graph['nodes']) in (1, 3)
176
177
178			@pytest.mark.parametrize('execution_number', range(5))
179			def test_graphql_builder__map_graph_model(execution_number, map_graph_model, graphql_query):
180			# arrange
181			expected_country_count, expected_city_count, graph_model = map_graph_model
182			expected_person_count = expected_city_count
183
184			# act
185			builder = graphinate.builders.GraphQLBuilder(graph_model)
186
187			import strawberry
188			schema: strawberry.Schema = builder.build()
189			execution_result = schema.execute_sync(graphql_query)
190			actual_graph = execution_result.data
191
192			# assert
193			assert actual_graph
194			assert actual_graph['graph']
195			assert actual_graph['nodes']
196			assert actual_graph['edges']
197			assert actual_graph['graph']['name'] == 'Map'
198			node_types_counts = {c['name']: c['value'] for c in actual_graph['graph']['nodeTypeCounts']}
199			assert node_types_counts['country'] == expected_country_count
200			assert node_types_counts['city'] == expected_city_count
201			assert len(actual_graph['nodes']) == expected_country_count + expected_city_count + expected_person_count
202
203
204			graphql_operations_cases = [
205			("""{
206			empty: measure(measure: is_empty){...Details}
207			directed: measure(measure: is_directed){...Details}
208			planar: measure(measure: is_planar){...Details}
209			connectivity: measure(measure: is_connected){...Details}
210			node_connectivity: measure(measure: node_connectivity){...Details}
211			threshold_graph: measure(measure: is_threshold_graph){...Details}
212			}
213			fragment Details on Measure {name value}
214			""", {
215			"empty": {
216			"name": "is_empty",
217			"value": 0
218			},
219			"directed": {
220			"name": "is_directed",
221			"value": 0
222			},
223			"planar": {
224			"name": "is_planar",
225			"value": 1
226			},
227			"connectivity": {
228			"name": "is_connected",
229			"value": 1
230			},
231			"node_connectivity": {
232			"name": "node_connectivity",
233			"value": 2
234			},
235			"threshold_graph": {
236			"name": "is_threshold_graph",
237			"value": 0
238			}
239			}),
240			("""query Graph {nodes(nodeId: "WzBd") {type label} edges(edgeId: "WyJXekJkIiwgIld6RmQiXQ==") {type label}}""",
241			# noqa: E501
242			{
243			"nodes": [
244			{
245			"type": "node",
246			"label": "0"
247			}
248			],
249			"edges": [
250			{
251			"type": "edge",
252			"label": "0 ⟹ 1"
253			}
254			]
255			}),
256			("mutation {refresh}", {'refresh': True})
257			]
258
259
260			@pytest.mark.parametrize(('graphql_query', 'expected_response'), graphql_operations_cases)
261			def test_graphql_builder_query(octagonal_graph_model, graphql_query, expected_response):
262			# act
263			builder = graphinate.builders.GraphQLBuilder(octagonal_graph_model)
264
265			import strawberry
266			schema: strawberry.Schema = builder.build(
267			default_node_attributes=graphinate.builders.Builder.default_node_attributes
268			)
269			execution_result = schema.execute_sync(graphql_query)
270			actual_response = execution_result.data
271
272			# assert
273			assert actual_response == expected_response
274
275
276			def test_graphql_builder__ast_model__graph_query(ast_graph_model, graphql_query):
277			# act
278			builder = graphinate.builders.GraphQLBuilder(ast_graph_model)
279			import strawberry
280			schema: strawberry.Schema = builder.build()
281			execution_result = schema.execute_sync(graphql_query)
282			actual_graph = execution_result.data
283
284			# assert
285			assert actual_graph
286			assert actual_graph['graph']
287			assert actual_graph['nodes']
288			assert actual_graph['edges']
289			assert actual_graph['graph']['name'] == 'AST Graph'
290			node_types_counts = {c['name']: c['value'] for c in actual_graph['graph']['nodeTypeCounts']}
291			assert node_types_counts
292

erivlis / graphinate

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test_builders.test_label_converter__value__falsy() A

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test_builders.test_label_convertervaluefalsy() A