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import pytest |
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import graphinate.builders |
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5
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6
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@pytest.mark.parametrize('execution_number', range(5)) |
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def test_graphql_builder__map_graph_model(execution_number, map_graph_model, graphql_query): |
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# arrange |
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expected_country_count, expected_city_count, graph_model = map_graph_model |
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expected_person_count = expected_city_count |
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# act |
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builder = graphinate.builders.GraphQLBuilder(graph_model) |
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import strawberry |
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schema: strawberry.Schema = builder.build() |
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execution_result = schema.execute_sync(graphql_query) |
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actual_graph = execution_result.data |
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node_ids: set = {v['id'] for v in actual_graph['nodes']} |
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edges = actual_graph['edges'] |
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edges_source_ids: set = {v['source']['id'] for v in edges} |
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edges_targets_ids: set = {v['target']['id'] for v in edges} |
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# assert |
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assert actual_graph |
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assert actual_graph['graph'] |
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assert actual_graph['nodes'] |
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assert actual_graph['edges'] |
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assert actual_graph['graph']['name'] == 'Map' |
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node_types_counts = {c['name']: c['value'] for c in actual_graph['graph']['nodeTypeCounts']} |
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assert node_types_counts['country'] == expected_country_count |
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assert node_types_counts['city'] == expected_city_count |
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assert len(actual_graph['nodes']) == expected_country_count + expected_city_count + expected_person_count |
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assert edges_source_ids.issubset(node_ids) |
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assert edges_targets_ids.issubset(node_ids) |
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assert node_ids.issuperset(edges_source_ids) |
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assert node_ids.issuperset(edges_targets_ids) |
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40
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graphql_operations_cases = [ |
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("""{ |
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empty: measure(measure: is_empty){...Details} |
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directed: measure(measure: is_directed){...Details} |
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planar: measure(measure: is_planar){...Details} |
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connectivity: measure(measure: is_connected){...Details} |
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node_connectivity: measure(measure: node_connectivity){...Details} |
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threshold_graph: measure(measure: is_threshold_graph){...Details} |
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} |
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fragment Details on Measure {name value} |
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""", { |
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"empty": { |
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"name": "is_empty", |
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"value": 0 |
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}, |
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"directed": { |
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"name": "is_directed", |
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"value": 0 |
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}, |
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"planar": { |
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"name": "is_planar", |
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"value": 1 |
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}, |
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"connectivity": { |
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"name": "is_connected", |
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"value": 1 |
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}, |
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"node_connectivity": { |
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"name": "node_connectivity", |
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"value": 2 |
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}, |
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"threshold_graph": { |
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"name": "is_threshold_graph", |
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"value": 0 |
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} |
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}), |
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(( |
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'query Graph {\n' |
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'nodes(nodeId: "KDAsKQ==") {type label}\n' |
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'edges(edgeId: "KCdLREFzS1E9PScsICdLREVzS1E9PScp") {type label}\n' |
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'}' |
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), |
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# noqa: E501 |
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{ |
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"nodes": [ |
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{ |
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"type": "node", |
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"label": "0" |
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} |
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], |
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"edges": [ |
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{ |
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"type": "edge", |
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"label": "0 ⟹ 1" |
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} |
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] |
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}), |
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("mutation {refresh}", {'refresh': True}) |
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] |
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101
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102
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@pytest.mark.parametrize(('graphql_query', 'expected_response'), graphql_operations_cases) |
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103
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def test_graphql_builder_query(octagonal_graph_model, graphql_query, expected_response): |
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104
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# act |
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105
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builder = graphinate.builders.GraphQLBuilder(octagonal_graph_model) |
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106
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107
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import strawberry |
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108
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schema: strawberry.Schema = builder.build( |
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default_node_attributes=graphinate.builders.Builder.default_node_attributes |
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) |
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execution_result = schema.execute_sync(graphql_query) |
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actual_response = execution_result.data |
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114
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# assert |
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assert actual_response == expected_response |
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116
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117
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118
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def test_graphql_builder__ast_model__graph_query(ast_graph_model, graphql_query): |
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119
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# act |
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120
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builder = graphinate.builders.GraphQLBuilder(ast_graph_model) |
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121
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import strawberry |
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122
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schema: strawberry.Schema = builder.build() |
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123
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execution_result = schema.execute_sync(graphql_query) |
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124
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actual_graph = execution_result.data |
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125
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126
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# assert |
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127
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assert actual_graph |
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128
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assert actual_graph['graph'] |
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129
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assert actual_graph['nodes'] |
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130
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assert actual_graph['edges'] |
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131
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assert actual_graph['graph']['name'] == 'AST Graph' |
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node_types_counts = {c['name']: c['value'] for c in actual_graph['graph']['nodeTypeCounts']} |
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assert node_types_counts |
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erivlis /
graphinate
