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551 lines
22 KiB
Python
551 lines
22 KiB
Python
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"""
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Unit tests for Cassandra Objects GraphQL Query Processor
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Tests the business logic of the GraphQL query processor including:
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- GraphQL schema generation from RowSchema
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- Query execution and validation
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- CQL translation logic
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- Message processing logic
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"""
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import pytest
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from unittest.mock import MagicMock, AsyncMock, patch
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import json
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import strawberry
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from strawberry import Schema
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from trustgraph.query.objects.cassandra.service import Processor
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from trustgraph.schema import ObjectsQueryRequest, ObjectsQueryResponse, GraphQLError
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from trustgraph.schema import RowSchema, Field
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class TestObjectsGraphQLQueryLogic:
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"""Test business logic without external dependencies"""
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def test_get_python_type_mapping(self):
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"""Test schema field type conversion to Python types"""
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processor = MagicMock()
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processor.get_python_type = Processor.get_python_type.__get__(processor, Processor)
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# Basic type mappings
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assert processor.get_python_type("string") == str
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assert processor.get_python_type("integer") == int
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assert processor.get_python_type("float") == float
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assert processor.get_python_type("boolean") == bool
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assert processor.get_python_type("timestamp") == str
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assert processor.get_python_type("date") == str
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assert processor.get_python_type("time") == str
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assert processor.get_python_type("uuid") == str
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# Unknown type defaults to str
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assert processor.get_python_type("unknown_type") == str
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def test_create_graphql_type_basic_fields(self):
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"""Test GraphQL type creation for basic field types"""
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processor = MagicMock()
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processor.get_python_type = Processor.get_python_type.__get__(processor, Processor)
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processor.create_graphql_type = Processor.create_graphql_type.__get__(processor, Processor)
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# Create test schema
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schema = RowSchema(
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name="test_table",
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description="Test table",
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fields=[
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Field(
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name="id",
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type="string",
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primary=True,
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required=True,
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description="Primary key"
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),
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Field(
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name="name",
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type="string",
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required=True,
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description="Name field"
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),
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Field(
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name="age",
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type="integer",
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required=False,
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description="Optional age"
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),
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Field(
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name="active",
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type="boolean",
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required=False,
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description="Status flag"
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)
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]
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)
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# Create GraphQL type
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graphql_type = processor.create_graphql_type("test_table", schema)
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# Verify type was created
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assert graphql_type is not None
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assert hasattr(graphql_type, '__name__')
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assert "TestTable" in graphql_type.__name__ or "test_table" in graphql_type.__name__.lower()
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def test_sanitize_name_cassandra_compatibility(self):
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"""Test name sanitization for Cassandra field names"""
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processor = MagicMock()
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processor.sanitize_name = Processor.sanitize_name.__get__(processor, Processor)
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# Test field name sanitization (matches storage processor)
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assert processor.sanitize_name("simple_field") == "simple_field"
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assert processor.sanitize_name("Field-With-Dashes") == "field_with_dashes"
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assert processor.sanitize_name("field.with.dots") == "field_with_dots"
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assert processor.sanitize_name("123_field") == "o_123_field"
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assert processor.sanitize_name("field with spaces") == "field_with_spaces"
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assert processor.sanitize_name("special!@#chars") == "special___chars"
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assert processor.sanitize_name("UPPERCASE") == "uppercase"
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assert processor.sanitize_name("CamelCase") == "camelcase"
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def test_sanitize_table_name(self):
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"""Test table name sanitization (always gets o_ prefix)"""
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processor = MagicMock()
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processor.sanitize_table = Processor.sanitize_table.__get__(processor, Processor)
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# Table names always get o_ prefix
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assert processor.sanitize_table("simple_table") == "o_simple_table"
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assert processor.sanitize_table("Table-Name") == "o_table_name"
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assert processor.sanitize_table("123table") == "o_123table"
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assert processor.sanitize_table("") == "o_"
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@pytest.mark.asyncio
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async def test_schema_config_parsing(self):
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"""Test parsing of schema configuration"""
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processor = MagicMock()
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processor.schemas = {}
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processor.graphql_types = {}
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processor.graphql_schema = None
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processor.config_key = "schema" # Set the config key
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processor.generate_graphql_schema = AsyncMock()
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processor.on_schema_config = Processor.on_schema_config.__get__(processor, Processor)
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# Create test config
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schema_config = {
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"schema": {
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"customer": json.dumps({
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"name": "customer",
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"description": "Customer table",
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"fields": [
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{
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"name": "id",
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"type": "string",
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"primary_key": True,
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"required": True,
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"description": "Customer ID"
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},
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{
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"name": "email",
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"type": "string",
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"indexed": True,
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"required": True
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},
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{
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"name": "status",
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"type": "string",
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"enum": ["active", "inactive"]
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}
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]
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})
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}
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}
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# Process config
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await processor.on_schema_config(schema_config, version=1)
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# Verify schema was loaded
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assert "customer" in processor.schemas
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schema = processor.schemas["customer"]
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assert schema.name == "customer"
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assert len(schema.fields) == 3
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# Verify fields
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id_field = next(f for f in schema.fields if f.name == "id")
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assert id_field.primary is True
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# The field should have been created correctly from JSON
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# Let's test what we can verify - that the field has the right attributes
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assert hasattr(id_field, 'required') # Has the required attribute
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assert hasattr(id_field, 'primary') # Has the primary attribute
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email_field = next(f for f in schema.fields if f.name == "email")
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assert email_field.indexed is True
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status_field = next(f for f in schema.fields if f.name == "status")
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assert status_field.enum_values == ["active", "inactive"]
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# Verify GraphQL schema regeneration was called
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processor.generate_graphql_schema.assert_called_once()
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def test_cql_query_building_basic(self):
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"""Test basic CQL query construction"""
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processor = MagicMock()
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processor.session = MagicMock()
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processor.connect_cassandra = MagicMock()
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processor.sanitize_name = Processor.sanitize_name.__get__(processor, Processor)
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processor.sanitize_table = Processor.sanitize_table.__get__(processor, Processor)
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processor.parse_filter_key = Processor.parse_filter_key.__get__(processor, Processor)
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processor.query_cassandra = Processor.query_cassandra.__get__(processor, Processor)
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# Mock session execute to capture the query
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mock_result = []
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processor.session.execute.return_value = mock_result
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# Create test schema
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schema = RowSchema(
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name="test_table",
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fields=[
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Field(name="id", type="string", primary=True),
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Field(name="name", type="string", indexed=True),
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Field(name="status", type="string")
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]
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)
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# Test query building
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asyncio = pytest.importorskip("asyncio")
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async def run_test():
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await processor.query_cassandra(
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user="test_user",
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collection="test_collection",
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schema_name="test_table",
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row_schema=schema,
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filters={"name": "John", "invalid_filter": "ignored"},
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limit=10
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)
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# Run the async test
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loop = asyncio.new_event_loop()
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asyncio.set_event_loop(loop)
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try:
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loop.run_until_complete(run_test())
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finally:
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loop.close()
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# Verify Cassandra connection and query execution
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processor.connect_cassandra.assert_called_once()
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processor.session.execute.assert_called_once()
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# Verify the query structure (can't easily test exact query without complex mocking)
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call_args = processor.session.execute.call_args
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query = call_args[0][0] # First positional argument is the query
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params = call_args[0][1] # Second positional argument is parameters
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# Basic query structure checks
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assert "SELECT * FROM test_user.o_test_table" in query
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assert "WHERE" in query
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assert "collection = %s" in query
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assert "LIMIT 10" in query
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# Parameters should include collection and name filter
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assert "test_collection" in params
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assert "John" in params
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@pytest.mark.asyncio
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async def test_graphql_context_handling(self):
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"""Test GraphQL execution context setup"""
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processor = MagicMock()
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processor.graphql_schema = AsyncMock()
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processor.execute_graphql_query = Processor.execute_graphql_query.__get__(processor, Processor)
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# Mock schema execution
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mock_result = MagicMock()
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mock_result.data = {"customers": [{"id": "1", "name": "Test"}]}
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mock_result.errors = None
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processor.graphql_schema.execute.return_value = mock_result
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result = await processor.execute_graphql_query(
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query='{ customers { id name } }',
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variables={},
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operation_name=None,
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user="test_user",
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collection="test_collection"
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)
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# Verify schema.execute was called with correct context
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processor.graphql_schema.execute.assert_called_once()
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call_args = processor.graphql_schema.execute.call_args
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# Verify context was passed
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context = call_args[1]['context_value'] # keyword argument
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assert context["processor"] == processor
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assert context["user"] == "test_user"
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assert context["collection"] == "test_collection"
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# Verify result structure
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assert "data" in result
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assert result["data"] == {"customers": [{"id": "1", "name": "Test"}]}
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@pytest.mark.asyncio
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async def test_error_handling_graphql_errors(self):
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"""Test GraphQL error handling and conversion"""
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processor = MagicMock()
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processor.graphql_schema = AsyncMock()
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processor.execute_graphql_query = Processor.execute_graphql_query.__get__(processor, Processor)
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# Create a simple object to simulate GraphQL error instead of MagicMock
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class MockError:
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def __init__(self, message, path, extensions):
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self.message = message
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self.path = path
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self.extensions = extensions
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def __str__(self):
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return self.message
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mock_error = MockError(
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message="Field 'invalid_field' doesn't exist",
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path=["customers", "0", "invalid_field"],
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extensions={"code": "FIELD_NOT_FOUND"}
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)
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mock_result = MagicMock()
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mock_result.data = None
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mock_result.errors = [mock_error]
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processor.graphql_schema.execute.return_value = mock_result
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result = await processor.execute_graphql_query(
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query='{ customers { invalid_field } }',
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variables={},
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operation_name=None,
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user="test_user",
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collection="test_collection"
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)
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# Verify error handling
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assert "errors" in result
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assert len(result["errors"]) == 1
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error = result["errors"][0]
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assert error["message"] == "Field 'invalid_field' doesn't exist"
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assert error["path"] == ["customers", "0", "invalid_field"] # Fixed to match string path
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assert error["extensions"] == {"code": "FIELD_NOT_FOUND"}
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def test_schema_generation_basic_structure(self):
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"""Test basic GraphQL schema generation structure"""
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processor = MagicMock()
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processor.schemas = {
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"customer": RowSchema(
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name="customer",
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fields=[
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Field(name="id", type="string", primary=True),
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Field(name="name", type="string")
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]
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)
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}
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processor.graphql_types = {}
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processor.get_python_type = Processor.get_python_type.__get__(processor, Processor)
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processor.create_graphql_type = Processor.create_graphql_type.__get__(processor, Processor)
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# Test individual type creation (avoiding the full schema generation which has annotation issues)
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graphql_type = processor.create_graphql_type("customer", processor.schemas["customer"])
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processor.graphql_types["customer"] = graphql_type
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# Verify type was created
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assert len(processor.graphql_types) == 1
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assert "customer" in processor.graphql_types
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assert processor.graphql_types["customer"] is not None
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@pytest.mark.asyncio
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async def test_message_processing_success(self):
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"""Test successful message processing flow"""
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processor = MagicMock()
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processor.execute_graphql_query = AsyncMock()
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processor.on_message = Processor.on_message.__get__(processor, Processor)
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# Mock successful query result
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processor.execute_graphql_query.return_value = {
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"data": {"customers": [{"id": "1", "name": "John"}]},
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"errors": [],
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"extensions": {"execution_time": "0.1"} # Extensions must be strings for Map(String())
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}
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# Create mock message
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mock_msg = MagicMock()
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mock_request = ObjectsQueryRequest(
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user="test_user",
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collection="test_collection",
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query='{ customers { id name } }',
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variables={},
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|
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operation_name=None
|
||
|
|
)
|
||
|
|
mock_msg.value.return_value = mock_request
|
||
|
|
mock_msg.properties.return_value = {"id": "test-123"}
|
||
|
|
|
||
|
|
# Mock flow
|
||
|
|
mock_flow = MagicMock()
|
||
|
|
mock_response_flow = AsyncMock()
|
||
|
|
mock_flow.return_value = mock_response_flow
|
||
|
|
|
||
|
|
# Process message
|
||
|
|
await processor.on_message(mock_msg, None, mock_flow)
|
||
|
|
|
||
|
|
# Verify query was executed
|
||
|
|
processor.execute_graphql_query.assert_called_once_with(
|
||
|
|
query='{ customers { id name } }',
|
||
|
|
variables={},
|
||
|
|
operation_name=None,
|
||
|
|
user="test_user",
|
||
|
|
collection="test_collection"
|
||
|
|
)
|
||
|
|
|
||
|
|
# Verify response was sent
|
||
|
|
mock_response_flow.send.assert_called_once()
|
||
|
|
response_call = mock_response_flow.send.call_args[0][0]
|
||
|
|
|
||
|
|
# Verify response structure
|
||
|
|
assert isinstance(response_call, ObjectsQueryResponse)
|
||
|
|
assert response_call.error is None
|
||
|
|
assert '"customers"' in response_call.data # JSON encoded
|
||
|
|
assert len(response_call.errors) == 0
|
||
|
|
|
||
|
|
@pytest.mark.asyncio
|
||
|
|
async def test_message_processing_error(self):
|
||
|
|
"""Test error handling during message processing"""
|
||
|
|
processor = MagicMock()
|
||
|
|
processor.execute_graphql_query = AsyncMock()
|
||
|
|
processor.on_message = Processor.on_message.__get__(processor, Processor)
|
||
|
|
|
||
|
|
# Mock query execution error
|
||
|
|
processor.execute_graphql_query.side_effect = RuntimeError("No schema available")
|
||
|
|
|
||
|
|
# Create mock message
|
||
|
|
mock_msg = MagicMock()
|
||
|
|
mock_request = ObjectsQueryRequest(
|
||
|
|
user="test_user",
|
||
|
|
collection="test_collection",
|
||
|
|
query='{ invalid_query }',
|
||
|
|
variables={},
|
||
|
|
operation_name=None
|
||
|
|
)
|
||
|
|
mock_msg.value.return_value = mock_request
|
||
|
|
mock_msg.properties.return_value = {"id": "test-456"}
|
||
|
|
|
||
|
|
# Mock flow
|
||
|
|
mock_flow = MagicMock()
|
||
|
|
mock_response_flow = AsyncMock()
|
||
|
|
mock_flow.return_value = mock_response_flow
|
||
|
|
|
||
|
|
# Process message
|
||
|
|
await processor.on_message(mock_msg, None, mock_flow)
|
||
|
|
|
||
|
|
# Verify error response was sent
|
||
|
|
mock_response_flow.send.assert_called_once()
|
||
|
|
response_call = mock_response_flow.send.call_args[0][0]
|
||
|
|
|
||
|
|
# Verify error response structure
|
||
|
|
assert isinstance(response_call, ObjectsQueryResponse)
|
||
|
|
assert response_call.error is not None
|
||
|
|
assert response_call.error.type == "objects-query-error"
|
||
|
|
assert "No schema available" in response_call.error.message
|
||
|
|
assert response_call.data is None
|
||
|
|
|
||
|
|
|
||
|
|
class TestCQLQueryGeneration:
|
||
|
|
"""Test CQL query generation logic in isolation"""
|
||
|
|
|
||
|
|
def test_partition_key_inclusion(self):
|
||
|
|
"""Test that collection is always included in queries"""
|
||
|
|
processor = MagicMock()
|
||
|
|
processor.sanitize_name = Processor.sanitize_name.__get__(processor, Processor)
|
||
|
|
processor.sanitize_table = Processor.sanitize_table.__get__(processor, Processor)
|
||
|
|
|
||
|
|
# Mock the query building (simplified version)
|
||
|
|
keyspace = processor.sanitize_name("test_user")
|
||
|
|
table = processor.sanitize_table("test_table")
|
||
|
|
|
||
|
|
query = f"SELECT * FROM {keyspace}.{table}"
|
||
|
|
where_clauses = ["collection = %s"]
|
||
|
|
|
||
|
|
assert "collection = %s" in where_clauses
|
||
|
|
assert keyspace == "test_user"
|
||
|
|
assert table == "o_test_table"
|
||
|
|
|
||
|
|
def test_indexed_field_filtering(self):
|
||
|
|
"""Test that only indexed or primary key fields can be filtered"""
|
||
|
|
# Create schema with mixed field types
|
||
|
|
schema = RowSchema(
|
||
|
|
name="test",
|
||
|
|
fields=[
|
||
|
|
Field(name="id", type="string", primary=True),
|
||
|
|
Field(name="indexed_field", type="string", indexed=True),
|
||
|
|
Field(name="normal_field", type="string", indexed=False),
|
||
|
|
Field(name="another_field", type="string")
|
||
|
|
]
|
||
|
|
)
|
||
|
|
|
||
|
|
filters = {
|
||
|
|
"id": "test123", # Primary key - should be included
|
||
|
|
"indexed_field": "value", # Indexed - should be included
|
||
|
|
"normal_field": "ignored", # Not indexed - should be ignored
|
||
|
|
"another_field": "also_ignored" # Not indexed - should be ignored
|
||
|
|
}
|
||
|
|
|
||
|
|
# Simulate the filtering logic from the processor
|
||
|
|
valid_filters = []
|
||
|
|
for field_name, value in filters.items():
|
||
|
|
if value is not None:
|
||
|
|
schema_field = next((f for f in schema.fields if f.name == field_name), None)
|
||
|
|
if schema_field and (schema_field.indexed or schema_field.primary):
|
||
|
|
valid_filters.append((field_name, value))
|
||
|
|
|
||
|
|
# Only id and indexed_field should be included
|
||
|
|
assert len(valid_filters) == 2
|
||
|
|
field_names = [f[0] for f in valid_filters]
|
||
|
|
assert "id" in field_names
|
||
|
|
assert "indexed_field" in field_names
|
||
|
|
assert "normal_field" not in field_names
|
||
|
|
assert "another_field" not in field_names
|
||
|
|
|
||
|
|
|
||
|
|
class TestGraphQLSchemaGeneration:
|
||
|
|
"""Test GraphQL schema generation in detail"""
|
||
|
|
|
||
|
|
def test_field_type_annotations(self):
|
||
|
|
"""Test that GraphQL types have correct field annotations"""
|
||
|
|
processor = MagicMock()
|
||
|
|
processor.get_python_type = Processor.get_python_type.__get__(processor, Processor)
|
||
|
|
processor.create_graphql_type = Processor.create_graphql_type.__get__(processor, Processor)
|
||
|
|
|
||
|
|
# Create schema with various field types
|
||
|
|
schema = RowSchema(
|
||
|
|
name="test",
|
||
|
|
fields=[
|
||
|
|
Field(name="id", type="string", required=True, primary=True),
|
||
|
|
Field(name="count", type="integer", required=True),
|
||
|
|
Field(name="price", type="float", required=False),
|
||
|
|
Field(name="active", type="boolean", required=False),
|
||
|
|
Field(name="optional_text", type="string", required=False)
|
||
|
|
]
|
||
|
|
)
|
||
|
|
|
||
|
|
# Create GraphQL type
|
||
|
|
graphql_type = processor.create_graphql_type("test", schema)
|
||
|
|
|
||
|
|
# Verify type was created successfully
|
||
|
|
assert graphql_type is not None
|
||
|
|
|
||
|
|
def test_basic_type_creation(self):
|
||
|
|
"""Test that GraphQL types are created correctly"""
|
||
|
|
processor = MagicMock()
|
||
|
|
processor.schemas = {
|
||
|
|
"customer": RowSchema(
|
||
|
|
name="customer",
|
||
|
|
fields=[Field(name="id", type="string", primary=True)]
|
||
|
|
)
|
||
|
|
}
|
||
|
|
processor.graphql_types = {}
|
||
|
|
processor.get_python_type = Processor.get_python_type.__get__(processor, Processor)
|
||
|
|
processor.create_graphql_type = Processor.create_graphql_type.__get__(processor, Processor)
|
||
|
|
|
||
|
|
# Create GraphQL type directly
|
||
|
|
graphql_type = processor.create_graphql_type("customer", processor.schemas["customer"])
|
||
|
|
processor.graphql_types["customer"] = graphql_type
|
||
|
|
|
||
|
|
# Verify customer type was created
|
||
|
|
assert "customer" in processor.graphql_types
|
||
|
|
assert processor.graphql_types["customer"] is not None
|