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Code Issues Projects Releases Packages Wiki Activity Actions 3

feat: workspace-based multi-tenancy, replacing user as tenancy axis (#840)

Browse source 
Introduces `workspace` as the isolation boundary for config, flows,
library, and knowledge data. Removes `user` as a schema-level field
throughout the code, API specs, and tests; workspace provides the
same separation more cleanly at the trusted flow.workspace layer
rather than through client-supplied message fields.

Design
------
- IAM tech spec (docs/tech-specs/iam.md) documents current state,
  proposed auth/access model, and migration direction.
- Data ownership model (docs/tech-specs/data-ownership-model.md)
  captures the workspace/collection/flow hierarchy.

Schema + messaging
------------------
- Drop `user` field from AgentRequest/Step, GraphRagQuery,
  DocumentRagQuery, Triples/Graph/Document/Row EmbeddingsRequest,
  Sparql/Rows/Structured QueryRequest, ToolServiceRequest.
- Keep collection/workspace routing via flow.workspace at the
  service layer.
- Translators updated to not serialise/deserialise user.

API specs
---------
- OpenAPI schemas and path examples cleaned of user fields.
- Websocket async-api messages updated.
- Removed the unused parameters/User.yaml.

Services + base
---------------
- Librarian, collection manager, knowledge, config: all operations
  scoped by workspace. Config client API takes workspace as first
  positional arg.
- `flow.workspace` set at flow start time by the infrastructure;
  no longer pass-through from clients.
- Tool service drops user-personalisation passthrough.

CLI + SDK
---------
- tg-init-workspace and workspace-aware import/export.
- All tg-* commands drop user args; accept --workspace.
- Python API/SDK (flow, socket_client, async_*, explainability,
  library) drop user kwargs from every method signature.

MCP server
----------
- All tool endpoints drop user parameters; socket_manager no longer
  keyed per user.

Flow service
------------
- Closure-based topic cleanup on flow stop: only delete topics
  whose blueprint template was parameterised AND no remaining
  live flow (across all workspaces) still resolves to that topic.
  Three scopes fall out naturally from template analysis:
    * {id} -> per-flow, deleted on stop
    * {blueprint} -> per-blueprint, kept while any flow of the
      same blueprint exists
    * {workspace} -> per-workspace, kept while any flow in the
      workspace exists
    * literal -> global, never deleted (e.g. tg.request.librarian)
  Fixes a bug where stopping a flow silently destroyed the global
  librarian exchange, wedging all library operations until manual
  restart.

RabbitMQ backend
----------------
- heartbeat=60, blocked_connection_timeout=300. Catches silently
  dead connections (broker restart, orphaned channels, network
  partitions) within ~2 heartbeat windows, so the consumer
  reconnects and re-binds its queue rather than sitting forever
  on a zombie connection.

Tests
-----
- Full test refresh: unit, integration, contract, provenance.
- Dropped user-field assertions and constructor kwargs across
  ~100 test files.
- Renamed user-collection isolation tests to workspace-collection.
This commit is contained in:
cybermaggedon 2026-04-21 23:23:01 +01:00 • committed by GitHub
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commit d35473f7f7
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377 changed files with 6868 additions and 5785 deletions
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24
tests/integration/test_agent_structured_query_integration.py
View file

@ -58,7 +58,7 @@ class TestAgentStructuredQueryIntegration:
async def test_agent_structured_query_basic_integration(self, agent_processor, structured_query_tool_config):
"""Test basic agent integration with structured query tool"""
# Arrange - Load tool configuration
await agent_processor.on_tools_config(structured_query_tool_config, "v1")
await agent_processor.on_tools_config("default", structured_query_tool_config, "v1")
# Create agent request
request = AgentRequest(
@ -66,7 +66,6 @@ class TestAgentStructuredQueryIntegration:
state="",
group=None,
history=[],
user="test_user"
)
msg = MagicMock()
@ -119,6 +118,7 @@ Args: {
# Mock flow parameter in agent_processor.on_request
flow = MagicMock()
flow.side_effect = flow_context
flow.workspace = "default"
# Act
await agent_processor.on_request(msg, consumer, flow)
@ -146,14 +146,13 @@ Args: {
async def test_agent_structured_query_error_handling(self, agent_processor, structured_query_tool_config):
"""Test agent handling of structured query errors"""
# Arrange
await agent_processor.on_tools_config(structured_query_tool_config, "v1")
await agent_processor.on_tools_config("default", structured_query_tool_config, "v1")
request = AgentRequest(
question="Find data from a table that doesn't exist using structured query.",
state="",
group=None,
history=[],
user="test_user"
)
msg = MagicMock()
@ -199,6 +198,7 @@ Args: {
flow = MagicMock()
flow.side_effect = flow_context
flow.workspace = "default"
# Act
await agent_processor.on_request(msg, consumer, flow)
@ -221,14 +221,13 @@ Args: {
async def test_agent_multi_step_structured_query_reasoning(self, agent_processor, structured_query_tool_config):
"""Test agent using structured query in multi-step reasoning"""
# Arrange
await agent_processor.on_tools_config(structured_query_tool_config, "v1")
await agent_processor.on_tools_config("default", structured_query_tool_config, "v1")
request = AgentRequest(
question="First find all customers from California, then tell me how many orders they have made.",
state="",
group=None,
history=[],
user="test_user"
)
msg = MagicMock()
@ -279,6 +278,7 @@ Args: {
flow = MagicMock()
flow.side_effect = flow_context
flow.workspace = "default"
# Act
await agent_processor.on_request(msg, consumer, flow)
@ -313,14 +313,13 @@ Args: {
}
}
await agent_processor.on_tools_config(tool_config_with_collection, "v1")
await agent_processor.on_tools_config("default", tool_config_with_collection, "v1")
request = AgentRequest(
question="Query the sales data for recent transactions.",
state="",
group=None,
history=[],
user="test_user"
)
msg = MagicMock()
@ -371,6 +370,7 @@ Args: {
flow = MagicMock()
flow.side_effect = flow_context
flow.workspace = "default"
# Act
await agent_processor.on_request(msg, consumer, flow)
@ -394,10 +394,10 @@ Args: {
async def test_agent_structured_query_tool_argument_validation(self, agent_processor, structured_query_tool_config):
"""Test that structured query tool arguments are properly validated"""
# Arrange
await agent_processor.on_tools_config(structured_query_tool_config, "v1")
await agent_processor.on_tools_config("default", structured_query_tool_config, "v1")
# Check that the tool was registered with correct arguments
tools = agent_processor.agent.tools
tools = agent_processor.agents["default"].tools
assert "structured-query" in tools
structured_tool = tools["structured-query"]
@ -414,14 +414,13 @@ Args: {
async def test_agent_structured_query_json_formatting(self, agent_processor, structured_query_tool_config):
"""Test that structured query results are properly formatted for agent consumption"""
# Arrange
await agent_processor.on_tools_config(structured_query_tool_config, "v1")
await agent_processor.on_tools_config("default", structured_query_tool_config, "v1")
request = AgentRequest(
question="Get customer information and format it nicely.",
state="",
group=None,
history=[],
user="test_user"
)
msg = MagicMock()
@ -482,6 +481,7 @@ Args: {
flow = MagicMock()
flow.side_effect = flow_context
flow.workspace = "default"
# Act
await agent_processor.on_request(msg, consumer, flow)

18
tests/integration/test_cassandra_config_end_to_end.py
View file

@ -40,14 +40,13 @@ class TestEndToEndConfigurationFlow:
# Create a mock message to trigger TrustGraph creation
mock_message = MagicMock()
mock_message.metadata.user = 'test_user'
mock_message.metadata.collection = 'test_collection'
mock_message.triples = []
# Mock collection_exists to return True
with patch('trustgraph.direct.cassandra_kg.KnowledgeGraph.collection_exists', return_value=True):
# This should create TrustGraph with environment config
await processor.store_triples(mock_message)
await processor.store_triples('test_user', mock_message)
# Verify Cluster was created with correct hosts
mock_cluster.assert_called_once()
@ -144,13 +143,12 @@ class TestConfigurationPriorityEndToEnd:
# Trigger TrustGraph creation
mock_message = MagicMock()
mock_message.metadata.user = 'test_user'
mock_message.metadata.collection = 'test_collection'
mock_message.triples = []
# Mock collection_exists to return True
with patch('trustgraph.direct.cassandra_kg.KnowledgeGraph.collection_exists', return_value=True):
await processor.store_triples(mock_message)
await processor.store_triples('test_user', mock_message)
# Should use CLI parameters, not environment
mock_cluster.assert_called_once()
@ -201,7 +199,6 @@ class TestConfigurationPriorityEndToEnd:
# Mock query to trigger TrustGraph creation
mock_query = MagicMock()
mock_query.user = 'default_user'
mock_query.collection = 'default_collection'
mock_query.s = None
mock_query.p = None
@ -213,7 +210,7 @@ class TestConfigurationPriorityEndToEnd:
mock_tg_instance.get_all.return_value = []
processor.tg = mock_tg_instance
await processor.query_triples(mock_query)
await processor.query_triples('default_user', mock_query)
# Should use defaults
mock_cluster.assert_called_once()
@ -244,13 +241,12 @@ class TestNoBackwardCompatibilityEndToEnd:
# Trigger TrustGraph creation
mock_message = MagicMock()
mock_message.metadata.user = 'legacy_user'
mock_message.metadata.collection = 'legacy_collection'
mock_message.triples = []
# Mock collection_exists to return True
with patch('trustgraph.direct.cassandra_kg.KnowledgeGraph.collection_exists', return_value=True):
await processor.store_triples(mock_message)
await processor.store_triples('legacy_user', mock_message)
# Should use defaults since old parameters are not recognized
mock_cluster.assert_called_once()
@ -302,13 +298,12 @@ class TestNoBackwardCompatibilityEndToEnd:
# Trigger TrustGraph creation
mock_message = MagicMock()
mock_message.metadata.user = 'precedence_user'
mock_message.metadata.collection = 'precedence_collection'
mock_message.triples = []
# Mock collection_exists to return True
with patch('trustgraph.direct.cassandra_kg.KnowledgeGraph.collection_exists', return_value=True):
await processor.store_triples(mock_message)
await processor.store_triples('precedence_user', mock_message)
# Should use new parameters, not old ones
mock_cluster.assert_called_once()
@ -354,13 +349,12 @@ class TestMultipleHostsHandling:
# Trigger TrustGraph creation
mock_message = MagicMock()
mock_message.metadata.user = 'single_user'
mock_message.metadata.collection = 'single_collection'
mock_message.triples = []
# Mock collection_exists to return True
with patch('trustgraph.direct.cassandra_kg.KnowledgeGraph.collection_exists', return_value=True):
await processor.store_triples(mock_message)
await processor.store_triples('single_user', mock_message)
# Single host should be converted to list
mock_cluster.assert_called_once()

10
tests/integration/test_cassandra_integration.py
View file

@ -115,7 +115,7 @@ class TestCassandraIntegration:
# Create test message
storage_message = Triples(
metadata=Metadata(user="testuser", collection="testcol"),
metadata=Metadata(collection="testcol"),
triples=[
Triple(
s=Term(type=IRI, iri="http://example.org/person1"),
@ -178,7 +178,7 @@ class TestCassandraIntegration:
# Store test data for querying
query_test_message = Triples(
metadata=Metadata(user="testuser", collection="testcol"),
metadata=Metadata(collection="testcol"),
triples=[
Triple(
s=Term(type=IRI, iri="http://example.org/alice"),
@ -212,7 +212,6 @@ class TestCassandraIntegration:
p=None, # None for wildcard
o=None, # None for wildcard
limit=10,
user="testuser",
collection="testcol"
)
s_results = await query_processor.query_triples(s_query)
@ -232,7 +231,6 @@ class TestCassandraIntegration:
p=Term(type=IRI, iri="http://example.org/knows"),
o=None, # None for wildcard
limit=10,
user="testuser",
collection="testcol"
)
p_results = await query_processor.query_triples(p_query)
@ -259,7 +257,7 @@ class TestCassandraIntegration:
# Create multiple coroutines for concurrent storage
async def store_person_data(person_id, name, age, department):
message = Triples(
metadata=Metadata(user="concurrent_test", collection="people"),
metadata=Metadata(collection="people"),
triples=[
Triple(
s=Term(type=IRI, iri=f"http://example.org/{person_id}"),
@ -329,7 +327,7 @@ class TestCassandraIntegration:
# Create a knowledge graph about a company
company_graph = Triples(
metadata=Metadata(user="integration_test", collection="company"),
metadata=Metadata(collection="company"),
triples=[
# People and their types
Triple(

5
tests/integration/test_document_rag_integration.py
View file

@ -99,7 +99,6 @@ class TestDocumentRagIntegration:
# Act
result = await document_rag.query(
query=query,
user=user,
collection=collection,
doc_limit=doc_limit
)
@ -110,7 +109,6 @@ class TestDocumentRagIntegration:
mock_doc_embeddings_client.query.assert_called_once_with(
vector=[[0.1, 0.2, 0.3, 0.4, 0.5], [0.6, 0.7, 0.8, 0.9, 1.0]],
limit=doc_limit,
user=user,
collection=collection
)
@ -278,14 +276,12 @@ class TestDocumentRagIntegration:
# Act
await document_rag.query(
f"query from {user} in {collection}",
user=user,
collection=collection
)
# Assert
mock_doc_embeddings_client.query.assert_called_once()
call_args = mock_doc_embeddings_client.query.call_args
assert call_args.kwargs['user'] == user
assert call_args.kwargs['collection'] == collection
@pytest.mark.asyncio
@ -353,6 +349,5 @@ class TestDocumentRagIntegration:
# Assert
mock_doc_embeddings_client.query.assert_called_once()
call_args = mock_doc_embeddings_client.query.call_args
assert call_args.kwargs['user'] == "trustgraph"
assert call_args.kwargs['collection'] == "default"
assert call_args.kwargs['limit'] == 20

10
tests/integration/test_document_rag_streaming_integration.py
View file

@ -107,7 +107,6 @@ class TestDocumentRagStreaming:
# Act
result = await document_rag_streaming.query(
query=query,
user="test_user",
collection="test_collection",
doc_limit=10,
streaming=True,
@ -141,7 +140,6 @@ class TestDocumentRagStreaming:
# Act - Non-streaming
non_streaming_result = await document_rag_streaming.query(
query=query,
user=user,
collection=collection,
doc_limit=doc_limit,
streaming=False
@ -155,7 +153,6 @@ class TestDocumentRagStreaming:
streaming_result = await document_rag_streaming.query(
query=query,
user=user,
collection=collection,
doc_limit=doc_limit,
streaming=True,
@ -178,7 +175,6 @@ class TestDocumentRagStreaming:
# Act
result = await document_rag_streaming.query(
query="test query",
user="test_user",
collection="test_collection",
doc_limit=5,
streaming=True,
@ -200,7 +196,6 @@ class TestDocumentRagStreaming:
# Arrange & Act
result = await document_rag_streaming.query(
query="test query",
user="test_user",
collection="test_collection",
doc_limit=5,
streaming=True,
@ -223,7 +218,6 @@ class TestDocumentRagStreaming:
# Act
result = await document_rag_streaming.query(
query="unknown topic",
user="test_user",
collection="test_collection",
doc_limit=10,
streaming=True,
@ -247,7 +241,6 @@ class TestDocumentRagStreaming:
with pytest.raises(Exception) as exc_info:
await document_rag_streaming.query(
query="test query",
user="test_user",
collection="test_collection",
doc_limit=5,
streaming=True,
@ -272,7 +265,6 @@ class TestDocumentRagStreaming:
# Act
result = await document_rag_streaming.query(
query="test query",
user="test_user",
collection="test_collection",
doc_limit=limit,
streaming=True,
@ -300,7 +292,6 @@ class TestDocumentRagStreaming:
# Act
await document_rag_streaming.query(
query="test query",
user=user,
collection=collection,
doc_limit=10,
streaming=True,
@ -309,5 +300,4 @@ class TestDocumentRagStreaming:
# Assert - Verify user/collection were passed to document embeddings client
call_args = mock_doc_embeddings_client.query.call_args
assert call_args.kwargs['user'] == user
assert call_args.kwargs['collection'] == collection

30
tests/integration/test_graph_rag_integration.py
View file

@ -146,7 +146,6 @@ class TestGraphRagIntegration:
# Act
response = await graph_rag.query(
query=query,
user=user,
collection=collection,
entity_limit=entity_limit,
triple_limit=triple_limit,
@ -163,7 +162,6 @@ class TestGraphRagIntegration:
call_args = mock_graph_embeddings_client.query.call_args
assert call_args.kwargs['vector'] == [[0.1, 0.2, 0.3, 0.4, 0.5]]
assert call_args.kwargs['limit'] == entity_limit
assert call_args.kwargs['user'] == user
assert call_args.kwargs['collection'] == collection
# 3. Should query triples to build knowledge subgraph
@ -204,7 +202,6 @@ class TestGraphRagIntegration:
# Act
await graph_rag.query(
query=query,
user="test_user",
collection="test_collection",
entity_limit=config["entity_limit"],
triple_limit=config["triple_limit"]
@ -224,7 +221,6 @@ class TestGraphRagIntegration:
with pytest.raises(Exception) as exc_info:
await graph_rag.query(
query="test query",
user="test_user",
collection="test_collection"
)
@ -247,7 +243,6 @@ class TestGraphRagIntegration:
# Act
response = await graph_rag.query(
query="unknown topic",
user="test_user",
collection="test_collection",
explain_callback=collect_provenance
)
@ -267,7 +262,6 @@ class TestGraphRagIntegration:
# First query
await graph_rag.query(
query=query,
user="test_user",
collection="test_collection"
)
@ -277,7 +271,6 @@ class TestGraphRagIntegration:
# Second identical query
await graph_rag.query(
query=query,
user="test_user",
collection="test_collection"
)
@ -289,26 +282,27 @@ class TestGraphRagIntegration:
assert second_call_count >= 0 # Should complete without errors
@pytest.mark.asyncio
async def test_graph_rag_multi_user_isolation(self, graph_rag, mock_graph_embeddings_client):
"""Test that different users/collections are properly isolated"""
async def test_graph_rag_multi_collection_isolation(self, graph_rag, mock_graph_embeddings_client):
"""Test that different collections propagate through to the embeddings query.
Workspace isolation is enforced by flow.workspace at the service
boundary — not by parameters on GraphRag.query — so this test
verifies collection routing only.
"""
# Arrange
query = "test query"
user1, collection1 = "user1", "collection1"
user2, collection2 = "user2", "collection2"
collection1 = "collection1"
collection2 = "collection2"
# Act
await graph_rag.query(query=query, user=user1, collection=collection1)
await graph_rag.query(query=query, user=user2, collection=collection2)
await graph_rag.query(query=query, collection=collection1)
await graph_rag.query(query=query, collection=collection2)
# Assert - Both users should have separate queries
# Assert - Each call propagated its collection
assert mock_graph_embeddings_client.query.call_count == 2
# Verify first call
first_call = mock_graph_embeddings_client.query.call_args_list[0]
assert first_call.kwargs['user'] == user1
assert first_call.kwargs['collection'] == collection1
# Verify second call
second_call = mock_graph_embeddings_client.query.call_args_list[1]
assert second_call.kwargs['user'] == user2
assert second_call.kwargs['collection'] == collection2

8
tests/integration/test_graph_rag_streaming_integration.py
View file

@ -116,7 +116,6 @@ class TestGraphRagStreaming:
# Act - query() returns response, provenance via callback
response = await graph_rag_streaming.query(
query=query,
user="test_user",
collection="test_collection",
streaming=True,
chunk_callback=collector.collect,
@ -154,7 +153,6 @@ class TestGraphRagStreaming:
# Act - Non-streaming
non_streaming_response = await graph_rag_streaming.query(
query=query,
user=user,
collection=collection,
streaming=False
)
@ -167,7 +165,6 @@ class TestGraphRagStreaming:
streaming_response = await graph_rag_streaming.query(
query=query,
user=user,
collection=collection,
streaming=True,
chunk_callback=collect
@ -189,7 +186,6 @@ class TestGraphRagStreaming:
# Act
response = await graph_rag_streaming.query(
query="test query",
user="test_user",
collection="test_collection",
streaming=True,
chunk_callback=callback
@ -209,7 +205,6 @@ class TestGraphRagStreaming:
# Arrange & Act
response = await graph_rag_streaming.query(
query="test query",
user="test_user",
collection="test_collection",
streaming=True,
chunk_callback=None # No callback provided
@ -231,7 +226,6 @@ class TestGraphRagStreaming:
# Act
response = await graph_rag_streaming.query(
query="unknown topic",
user="test_user",
collection="test_collection",
streaming=True,
chunk_callback=callback
@ -253,7 +247,6 @@ class TestGraphRagStreaming:
with pytest.raises(Exception) as exc_info:
await graph_rag_streaming.query(
query="test query",
user="test_user",
collection="test_collection",
streaming=True,
chunk_callback=callback
@ -273,7 +266,6 @@ class TestGraphRagStreaming:
# Act
await graph_rag_streaming.query(
query="test query",
user="test_user",
collection="test_collection",
entity_limit=entity_limit,
triple_limit=triple_limit,

1
tests/integration/test_import_export_graceful_shutdown.py
View file

@ -171,7 +171,6 @@ async def test_export_no_message_loss_integration(mock_backend):
triples_obj = Triples(
metadata=Metadata(
id=f"export-msg-{i}",
user=msg_data["metadata"]["user"],
collection=msg_data["metadata"]["collection"],
),
triples=to_subgraph(msg_data["triples"]),

26
tests/integration/test_kg_extract_store_integration.py
View file

@ -97,7 +97,6 @@ class TestKnowledgeGraphPipelineIntegration:
return Chunk(
metadata=Metadata(
id="doc-123",
user="test_user",
collection="test_collection",
),
chunk=b"Machine Learning is a subset of Artificial Intelligence. Neural Networks are used in Machine Learning to process complex patterns."
@ -247,7 +246,6 @@ class TestKnowledgeGraphPipelineIntegration:
# Arrange
metadata = Metadata(
id="test-doc",
user="test_user",
collection="test_collection",
)
@ -305,7 +303,6 @@ class TestKnowledgeGraphPipelineIntegration:
# Arrange
metadata = Metadata(
id="test-doc",
user="test_user",
collection="test_collection",
)
@ -375,7 +372,6 @@ class TestKnowledgeGraphPipelineIntegration:
sample_triples = Triples(
metadata=Metadata(
id="test-doc",
user="test_user",
collection="test_collection",
),
triples=[
@ -390,11 +386,14 @@ class TestKnowledgeGraphPipelineIntegration:
mock_msg = MagicMock()
mock_msg.value.return_value = sample_triples
mock_flow = MagicMock()
mock_flow.workspace = "test_workspace"
# Act
await processor.on_triples(mock_msg, None, None)
await processor.on_triples(mock_msg, None, mock_flow)
# Assert
mock_cassandra_store.add_triples.assert_called_once_with(sample_triples)
mock_cassandra_store.add_triples.assert_called_once_with("test_workspace", sample_triples)
@pytest.mark.asyncio
async def test_knowledge_store_graph_embeddings_storage(self, mock_cassandra_store):
@ -407,7 +406,6 @@ class TestKnowledgeGraphPipelineIntegration:
sample_embeddings = GraphEmbeddings(
metadata=Metadata(
id="test-doc",
user="test_user",
collection="test_collection",
),
entities=[
@ -421,11 +419,14 @@ class TestKnowledgeGraphPipelineIntegration:
mock_msg = MagicMock()
mock_msg.value.return_value = sample_embeddings
mock_flow = MagicMock()
mock_flow.workspace = "test_workspace"
# Act
await processor.on_graph_embeddings(mock_msg, None, None)
await processor.on_graph_embeddings(mock_msg, None, mock_flow)
# Assert
mock_cassandra_store.add_graph_embeddings.assert_called_once_with(sample_embeddings)
mock_cassandra_store.add_graph_embeddings.assert_called_once_with("test_workspace", sample_embeddings)
@pytest.mark.asyncio
async def test_end_to_end_pipeline_coordination(self, definitions_processor, relationships_processor,
@ -553,7 +554,7 @@ class TestKnowledgeGraphPipelineIntegration:
)
sample_chunk = Chunk(
metadata=Metadata(id="test", user="user", collection="collection"),
metadata=Metadata(id="test", collection="collection"),
chunk=b"Test chunk"
)
@ -580,7 +581,7 @@ class TestKnowledgeGraphPipelineIntegration:
# Arrange
large_chunk_batch = [
Chunk(
metadata=Metadata(id=f"doc-{i}", user="user", collection="collection"),
metadata=Metadata(id=f"doc-{i}", collection="collection"),
chunk=f"Document {i} contains machine learning and AI content.".encode("utf-8")
)
for i in range(100) # Large batch
@ -617,7 +618,6 @@ class TestKnowledgeGraphPipelineIntegration:
# Arrange
original_metadata = Metadata(
id="test-doc-123",
user="test_user",
collection="test_collection",
)
@ -646,9 +646,7 @@ class TestKnowledgeGraphPipelineIntegration:
entity_contexts_call = entity_contexts_producer.send.call_args[0][0]
assert triples_call.metadata.id == "test-doc-123"
assert triples_call.metadata.user == "test_user"
assert triples_call.metadata.collection == "test_collection"
assert entity_contexts_call.metadata.id == "test-doc-123"
assert entity_contexts_call.metadata.user == "test_user"
assert entity_contexts_call.metadata.collection == "test_collection"

18
tests/integration/test_nlp_query_integration.py
View file

@ -72,7 +72,7 @@ class TestNLPQueryServiceIntegration:
)
# Set up schemas
proc.schemas = sample_schemas
proc.schemas = {"default": dict(sample_schemas)}
# Mock the client method
proc.client = MagicMock()
@ -94,6 +94,7 @@ class TestNLPQueryServiceIntegration:
consumer = MagicMock()
flow = MagicMock()
flow.workspace = "default"
flow_response = AsyncMock()
flow.return_value = flow_response
@ -173,6 +174,7 @@ class TestNLPQueryServiceIntegration:
consumer = MagicMock()
flow = MagicMock()
flow.workspace = "default"
flow_response = AsyncMock()
flow.return_value = flow_response
@ -229,7 +231,7 @@ class TestNLPQueryServiceIntegration:
}
# Act - Update configuration
await integration_processor.on_schema_config(new_schema_config, "v2")
await integration_processor.on_schema_config("default", new_schema_config, "v2")
# Arrange - Test query using new schema
request = QuestionToStructuredQueryRequest(
@ -243,6 +245,7 @@ class TestNLPQueryServiceIntegration:
consumer = MagicMock()
flow = MagicMock()
flow.workspace = "default"
flow_response = AsyncMock()
flow.return_value = flow_response
@ -272,7 +275,7 @@ class TestNLPQueryServiceIntegration:
await integration_processor.on_message(msg, consumer, flow)
# Assert
assert "inventory" in integration_processor.schemas
assert "inventory" in integration_processor.schemas["default"]
response_call = flow_response.send.call_args
response = response_call[0][0]
assert response.detected_schemas == ["inventory"]
@ -293,6 +296,7 @@ class TestNLPQueryServiceIntegration:
consumer = MagicMock()
flow = MagicMock()
flow.workspace = "default"
flow_response = AsyncMock()
flow.return_value = flow_response
@ -334,7 +338,7 @@ class TestNLPQueryServiceIntegration:
graphql_generation_template="custom-graphql-generator"
)
custom_processor.schemas = sample_schemas
custom_processor.schemas = {"default": dict(sample_schemas)}
custom_processor.client = MagicMock()
request = QuestionToStructuredQueryRequest(
@ -348,6 +352,7 @@ class TestNLPQueryServiceIntegration:
consumer = MagicMock()
flow = MagicMock()
flow.workspace = "default"
flow_response = AsyncMock()
flow.return_value = flow_response
@ -394,7 +399,7 @@ class TestNLPQueryServiceIntegration:
] + [SchemaField(name=f"field_{j}", type="string") for j in range(5)]
)
integration_processor.schemas.update(large_schema_set)
integration_processor.schemas["default"].update(large_schema_set)
request = QuestionToStructuredQueryRequest(
question="Show me data from table_05 and table_12",
@ -407,6 +412,7 @@ class TestNLPQueryServiceIntegration:
consumer = MagicMock()
flow = MagicMock()
flow.workspace = "default"
flow_response = AsyncMock()
flow.return_value = flow_response
@ -462,6 +468,7 @@ class TestNLPQueryServiceIntegration:
msg.properties.return_value = {"id": f"concurrent-test-{i}"}
flow = MagicMock()
flow.workspace = "default"
flow_response = AsyncMock()
flow.return_value = flow_response
@ -532,6 +539,7 @@ class TestNLPQueryServiceIntegration:
consumer = MagicMock()
flow = MagicMock()
flow.workspace = "default"
flow_response = AsyncMock()
flow.return_value = flow_response

60
tests/integration/test_object_extraction_integration.py
View file

@ -185,6 +185,7 @@ class TestObjectExtractionServiceIntegration:
return AsyncMock()
context.side_effect = context_router
context.workspace = "default"
return context
@pytest.mark.asyncio
@ -197,20 +198,21 @@ class TestObjectExtractionServiceIntegration:
processor.on_schema_config = Processor.on_schema_config.__get__(processor, Processor)
# Act
await processor.on_schema_config(integration_config, version=1)
await processor.on_schema_config("default", integration_config, version=1)
# Assert
assert len(processor.schemas) == 2
assert "customer_records" in processor.schemas
assert "product_catalog" in processor.schemas
ws_schemas = processor.schemas["default"]
assert len(ws_schemas) == 2
assert "customer_records" in ws_schemas
assert "product_catalog" in ws_schemas
# Verify customer schema
customer_schema = processor.schemas["customer_records"]
customer_schema = ws_schemas["customer_records"]
assert customer_schema.name == "customer_records"
assert len(customer_schema.fields) == 4
# Verify product schema
product_schema = processor.schemas["product_catalog"]
product_schema = ws_schemas["product_catalog"]
assert product_schema.name == "product_catalog"
assert len(product_schema.fields) == 4
@ -237,12 +239,11 @@ class TestObjectExtractionServiceIntegration:
processor.convert_values_to_strings = convert_values_to_strings
# Load configuration
await processor.on_schema_config(integration_config, version=1)
await processor.on_schema_config("default", integration_config, version=1)
# Create realistic customer data chunk
metadata = Metadata(
id="customer-doc-001",
user="integration_test",
collection="test_documents",
)
@ -304,12 +305,11 @@ class TestObjectExtractionServiceIntegration:
processor.convert_values_to_strings = convert_values_to_strings
# Load configuration
await processor.on_schema_config(integration_config, version=1)
await processor.on_schema_config("default", integration_config, version=1)
# Create realistic product data chunk
metadata = Metadata(
id="product-doc-001",
user="integration_test",
collection="test_documents",
)
@ -368,7 +368,7 @@ class TestObjectExtractionServiceIntegration:
processor.convert_values_to_strings = convert_values_to_strings
# Load configuration
await processor.on_schema_config(integration_config, version=1)
await processor.on_schema_config("default", integration_config, version=1)
# Create multiple test chunks
chunks_data = [
@ -382,7 +382,6 @@ class TestObjectExtractionServiceIntegration:
for chunk_id, text in chunks_data:
metadata = Metadata(
id=chunk_id,
user="concurrent_test",
collection="test_collection",
)
chunk = Chunk(metadata=metadata, chunk=text.encode('utf-8'))
@ -431,19 +430,21 @@ class TestObjectExtractionServiceIntegration:
"customer_records": integration_config["schema"]["customer_records"]
}
}
await processor.on_schema_config(initial_config, version=1)
assert len(processor.schemas) == 1
assert "customer_records" in processor.schemas
assert "product_catalog" not in processor.schemas
await processor.on_schema_config("default", initial_config, version=1)
ws_schemas = processor.schemas["default"]
assert len(ws_schemas) == 1
assert "customer_records" in ws_schemas
assert "product_catalog" not in ws_schemas
# Act - Reload with full configuration
await processor.on_schema_config(integration_config, version=2)
await processor.on_schema_config("default", integration_config, version=2)
# Assert
assert len(processor.schemas) == 2
assert "customer_records" in processor.schemas
assert "product_catalog" in processor.schemas
ws_schemas = processor.schemas["default"]
assert len(ws_schemas) == 2
assert "customer_records" in ws_schemas
assert "product_catalog" in ws_schemas
@pytest.mark.asyncio
async def test_error_resilience_integration(self, integration_config):
@ -474,13 +475,14 @@ class TestObjectExtractionServiceIntegration:
return AsyncMock()
failing_flow.side_effect = failing_context_router
failing_flow.workspace = "default"
processor.flow = failing_flow
# Load configuration
await processor.on_schema_config(integration_config, version=1)
await processor.on_schema_config("default", integration_config, version=1)
# Create test chunk
metadata = Metadata(id="error-test", user="test", collection="test")
metadata = Metadata(id="error-test", collection="test")
chunk = Chunk(metadata=metadata, chunk=b"Some text that will fail to process")
mock_msg = MagicMock()
@ -510,12 +512,11 @@ class TestObjectExtractionServiceIntegration:
processor.convert_values_to_strings = convert_values_to_strings
# Load configuration
await processor.on_schema_config(integration_config, version=1)
await processor.on_schema_config("default", integration_config, version=1)
# Create chunk with rich metadata
original_metadata = Metadata(
id="metadata-test-chunk",
user="test_user",
collection="test_collection",
)
@ -544,6 +545,5 @@ class TestObjectExtractionServiceIntegration:
assert extracted_obj is not None
# Verify metadata propagation
assert extracted_obj.metadata.user == "test_user"
assert extracted_obj.metadata.collection == "test_collection"
assert "metadata-test-chunk" in extracted_obj.metadata.id # Should include source reference

5
tests/integration/test_prompt_streaming_integration.py
View file

@ -87,6 +87,7 @@ class TestPromptStreaming:
return AsyncMock()
context.side_effect = context_router
context.workspace = "default"
return context
@pytest.fixture
@ -109,7 +110,7 @@ class TestPromptStreaming:
def prompt_processor_streaming(self, mock_prompt_manager):
"""Create Prompt processor with streaming support"""
processor = MagicMock()
processor.manager = mock_prompt_manager
processor.managers = {"default": mock_prompt_manager}
processor.config_key = "prompt"
# Bind the actual on_request method
@ -248,6 +249,7 @@ class TestPromptStreaming:
return AsyncMock()
context.side_effect = context_router
context.workspace = "default"
request = PromptRequest(
id="test_prompt",
@ -341,6 +343,7 @@ class TestPromptStreaming:
return AsyncMock()
context.side_effect = context_router
context.workspace = "default"
request = PromptRequest(
id="test_prompt",

8
tests/integration/test_rag_streaming_protocol.py
View file

@ -84,7 +84,6 @@ class TestGraphRagStreamingProtocol:
# Act
await graph_rag.query(
query="test query",
user="test_user",
collection="test_collection",
streaming=True,
chunk_callback=callback
@ -108,7 +107,6 @@ class TestGraphRagStreamingProtocol:
# Act
await graph_rag.query(
query="test query",
user="test_user",
collection="test_collection",
streaming=True,
chunk_callback=collect
@ -137,7 +135,6 @@ class TestGraphRagStreamingProtocol:
# Act
await graph_rag.query(
query="test query",
user="test_user",
collection="test_collection",
streaming=True,
chunk_callback=collect
@ -162,7 +159,6 @@ class TestGraphRagStreamingProtocol:
# Act
await graph_rag.query(
query="test query",
user="test_user",
collection="test_collection",
streaming=True,
chunk_callback=collect
@ -188,7 +184,6 @@ class TestGraphRagStreamingProtocol:
# Act
await graph_rag.query(
query="test query",
user="test_user",
collection="test_collection",
streaming=True,
chunk_callback=collect
@ -267,7 +262,6 @@ class TestDocumentRagStreamingProtocol:
# Act
await document_rag.query(
query="test query",
user="test_user",
collection="test_collection",
streaming=True,
chunk_callback=callback
@ -290,7 +284,6 @@ class TestDocumentRagStreamingProtocol:
# Act
await document_rag.query(
query="test query",
user="test_user",
collection="test_collection",
streaming=True,
chunk_callback=collect
@ -314,7 +307,6 @@ class TestDocumentRagStreamingProtocol:
# Act
await document_rag.query(
query="test query",
user="test_user",
collection="test_collection",
streaming=True,
chunk_callback=collect

115
tests/integration/test_rows_cassandra_integration.py
View file

@ -14,6 +14,17 @@ from trustgraph.storage.rows.cassandra.write import Processor
from trustgraph.schema import ExtractedObject, Metadata, RowSchema, Field
class _MockFlowDefault:
"""Mock Flow with default workspace for testing."""
workspace = "default"
name = "default"
id = "test-processor"
mock_flow_default = _MockFlowDefault()
@pytest.mark.integration
class TestRowsCassandraIntegration:
"""Integration tests for Cassandra row storage with unified table"""
@ -125,14 +136,13 @@ class TestRowsCassandraIntegration:
}
}
await processor.on_schema_config(config, version=1)
assert "customer_records" in processor.schemas
await processor.on_schema_config("default", config, version=1)
assert "customer_records" in processor.schemas["default"]
# Step 2: Process an ExtractedObject
test_obj = ExtractedObject(
metadata=Metadata(
id="doc-001",
user="test_user",
collection="import_2024",
),
schema_name="customer_records",
@ -149,7 +159,7 @@ class TestRowsCassandraIntegration:
msg = MagicMock()
msg.value.return_value = test_obj
await processor.on_object(msg, None, None)
await processor.on_object(msg, None, mock_flow_default)
# Verify Cassandra interactions
assert mock_cluster.connect.called
@ -158,7 +168,7 @@ class TestRowsCassandraIntegration:
keyspace_calls = [call for call in mock_session.execute.call_args_list
if "CREATE KEYSPACE" in str(call)]
assert len(keyspace_calls) == 1
assert "test_user" in str(keyspace_calls[0])
assert "default" in str(keyspace_calls[0])
# Verify unified table creation (rows table, not per-schema table)
table_calls = [call for call in mock_session.execute.call_args_list
@ -209,12 +219,12 @@ class TestRowsCassandraIntegration:
}
}
await processor.on_schema_config(config, version=1)
assert len(processor.schemas) == 2
await processor.on_schema_config("default", config, version=1)
assert len(processor.schemas["default"]) == 2
# Process objects for different schemas
product_obj = ExtractedObject(
metadata=Metadata(id="p1", user="shop", collection="catalog"),
metadata=Metadata(id="p1", collection="catalog"),
schema_name="products",
values=[{"product_id": "P001", "name": "Widget", "price": "19.99"}],
confidence=0.9,
@ -222,7 +232,7 @@ class TestRowsCassandraIntegration:
)
order_obj = ExtractedObject(
metadata=Metadata(id="o1", user="shop", collection="sales"),
metadata=Metadata(id="o1", collection="sales"),
schema_name="orders",
values=[{"order_id": "O001", "customer_id": "C001", "total": "59.97"}],
confidence=0.85,
@ -233,7 +243,7 @@ class TestRowsCassandraIntegration:
for obj in [product_obj, order_obj]:
msg = MagicMock()
msg.value.return_value = obj
await processor.on_object(msg, None, None)
await processor.on_object(msg, None, mock_flow_default)
# All data goes into the same unified rows table
table_calls = [call for call in mock_session.execute.call_args_list
@ -256,18 +266,20 @@ class TestRowsCassandraIntegration:
with patch('trustgraph.storage.rows.cassandra.write.Cluster', return_value=mock_cluster):
# Schema with multiple indexed fields
processor.schemas["indexed_data"] = RowSchema(
name="indexed_data",
fields=[
Field(name="id", type="string", size=50, primary=True),
Field(name="category", type="string", size=50, indexed=True),
Field(name="status", type="string", size=50, indexed=True),
Field(name="description", type="string", size=200) # Not indexed
]
)
processor.schemas["default"] = {
"indexed_data": RowSchema(
name="indexed_data",
fields=[
Field(name="id", type="string", size=50, primary=True),
Field(name="category", type="string", size=50, indexed=True),
Field(name="status", type="string", size=50, indexed=True),
Field(name="description", type="string", size=200) # Not indexed
]
)
}
test_obj = ExtractedObject(
metadata=Metadata(id="t1", user="test", collection="test"),
metadata=Metadata(id="t1", collection="test"),
schema_name="indexed_data",
values=[{
"id": "123",
@ -282,7 +294,7 @@ class TestRowsCassandraIntegration:
msg = MagicMock()
msg.value.return_value = test_obj
await processor.on_object(msg, None, None)
await processor.on_object(msg, None, mock_flow_default)
# Should have 3 data inserts (one per indexed field: id, category, status)
rows_insert_calls = [call for call in mock_session.execute.call_args_list
@ -342,13 +354,12 @@ class TestRowsCassandraIntegration:
}
}
await processor.on_schema_config(config, version=1)
await processor.on_schema_config("default", config, version=1)
# Process batch object with multiple values
batch_obj = ExtractedObject(
metadata=Metadata(
id="batch-001",
user="test_user",
collection="batch_import",
),
schema_name="batch_customers",
@ -376,7 +387,7 @@ class TestRowsCassandraIntegration:
msg = MagicMock()
msg.value.return_value = batch_obj
await processor.on_object(msg, None, None)
await processor.on_object(msg, None, mock_flow_default)
# Verify unified table creation
table_calls = [call for call in mock_session.execute.call_args_list
@ -396,14 +407,16 @@ class TestRowsCassandraIntegration:
processor, mock_cluster, mock_session = processor_with_mocks
with patch('trustgraph.storage.rows.cassandra.write.Cluster', return_value=mock_cluster):
processor.schemas["empty_test"] = RowSchema(
name="empty_test",
fields=[Field(name="id", type="string", size=50, primary=True)]
)
processor.schemas["default"] = {
"empty_test": RowSchema(
name="empty_test",
fields=[Field(name="id", type="string", size=50, primary=True)]
)
}
# Process empty batch object
empty_obj = ExtractedObject(
metadata=Metadata(id="empty-1", user="test", collection="empty"),
metadata=Metadata(id="empty-1", collection="empty"),
schema_name="empty_test",
values=[], # Empty batch
confidence=1.0,
@ -413,7 +426,7 @@ class TestRowsCassandraIntegration:
msg = MagicMock()
msg.value.return_value = empty_obj
await processor.on_object(msg, None, None)
await processor.on_object(msg, None, mock_flow_default)
# Should not create any data insert statements for empty batch
# (partition registration may still happen)
@ -428,17 +441,19 @@ class TestRowsCassandraIntegration:
processor, mock_cluster, mock_session = processor_with_mocks
with patch('trustgraph.storage.rows.cassandra.write.Cluster', return_value=mock_cluster):
processor.schemas["map_test"] = RowSchema(
name="map_test",
fields=[
Field(name="id", type="string", size=50, primary=True),
Field(name="name", type="string", size=100),
Field(name="count", type="integer", size=0)
]
)
processor.schemas["default"] = {
"map_test": RowSchema(
name="map_test",
fields=[
Field(name="id", type="string", size=50, primary=True),
Field(name="name", type="string", size=100),
Field(name="count", type="integer", size=0)
]
)
}
test_obj = ExtractedObject(
metadata=Metadata(id="t1", user="test", collection="test"),
metadata=Metadata(id="t1", collection="test"),
schema_name="map_test",
values=[{"id": "123", "name": "Test Item", "count": "42"}],
confidence=0.9,
@ -448,7 +463,7 @@ class TestRowsCassandraIntegration:
msg = MagicMock()
msg.value.return_value = test_obj
await processor.on_object(msg, None, None)
await processor.on_object(msg, None, mock_flow_default)
# Verify insert uses map for data
rows_insert_calls = [call for call in mock_session.execute.call_args_list
@ -473,16 +488,18 @@ class TestRowsCassandraIntegration:
processor, mock_cluster, mock_session = processor_with_mocks
with patch('trustgraph.storage.rows.cassandra.write.Cluster', return_value=mock_cluster):
processor.schemas["partition_test"] = RowSchema(
name="partition_test",
fields=[
Field(name="id", type="string", size=50, primary=True),
Field(name="category", type="string", size=50, indexed=True)
]
)
processor.schemas["default"] = {
"partition_test": RowSchema(
name="partition_test",
fields=[
Field(name="id", type="string", size=50, primary=True),
Field(name="category", type="string", size=50, indexed=True)
]
)
}
test_obj = ExtractedObject(
metadata=Metadata(id="t1", user="test", collection="my_collection"),
metadata=Metadata(id="t1", collection="my_collection"),
schema_name="partition_test",
values=[{"id": "123", "category": "test"}],
confidence=0.9,
@ -492,7 +509,7 @@ class TestRowsCassandraIntegration:
msg = MagicMock()
msg.value.return_value = test_obj
await processor.on_object(msg, None, None)
await processor.on_object(msg, None, mock_flow_default)
# Verify partition registration
partition_inserts = [call for call in mock_session.execute.call_args_list

22
tests/integration/test_rows_graphql_query_integration.py
View file

@ -154,7 +154,7 @@ class TestObjectsGraphQLQueryIntegration:
async def test_schema_configuration_and_generation(self, processor, sample_schema_config):
"""Test schema configuration loading and GraphQL schema generation"""
# Load schema configuration
await processor.on_schema_config(sample_schema_config, version=1)
await processor.on_schema_config("default", sample_schema_config, version=1)
# Verify schemas were loaded
assert len(processor.schemas) == 2
@ -181,7 +181,7 @@ class TestObjectsGraphQLQueryIntegration:
async def test_cassandra_connection_and_table_creation(self, processor, sample_schema_config):
"""Test Cassandra connection and dynamic table creation"""
# Load schema configuration
await processor.on_schema_config(sample_schema_config, version=1)
await processor.on_schema_config("default", sample_schema_config, version=1)
# Connect to Cassandra
processor.connect_cassandra()
@ -218,7 +218,7 @@ class TestObjectsGraphQLQueryIntegration:
async def test_data_insertion_and_graphql_query(self, processor, sample_schema_config):
"""Test inserting data and querying via GraphQL"""
# Load schema and connect
await processor.on_schema_config(sample_schema_config, version=1)
await processor.on_schema_config("default", sample_schema_config, version=1)
processor.connect_cassandra()
# Setup test data
@ -292,7 +292,7 @@ class TestObjectsGraphQLQueryIntegration:
async def test_graphql_query_with_filters(self, processor, sample_schema_config):
"""Test GraphQL queries with filtering on indexed fields"""
# Setup (reuse previous setup)
await processor.on_schema_config(sample_schema_config, version=1)
await processor.on_schema_config("default", sample_schema_config, version=1)
processor.connect_cassandra()
keyspace = "test_user"
@ -353,7 +353,7 @@ class TestObjectsGraphQLQueryIntegration:
async def test_graphql_error_handling(self, processor, sample_schema_config):
"""Test GraphQL error handling for invalid queries"""
# Setup
await processor.on_schema_config(sample_schema_config, version=1)
await processor.on_schema_config("default", sample_schema_config, version=1)
# Test invalid field query
invalid_query = '''
@ -386,7 +386,7 @@ class TestObjectsGraphQLQueryIntegration:
async def test_message_processing_integration(self, processor, sample_schema_config):
"""Test full message processing workflow"""
# Setup
await processor.on_schema_config(sample_schema_config, version=1)
await processor.on_schema_config("default", sample_schema_config, version=1)
processor.connect_cassandra()
# Create mock message
@ -432,7 +432,7 @@ class TestObjectsGraphQLQueryIntegration:
async def test_concurrent_queries(self, processor, sample_schema_config):
"""Test handling multiple concurrent GraphQL queries"""
# Setup
await processor.on_schema_config(sample_schema_config, version=1)
await processor.on_schema_config("default", sample_schema_config, version=1)
processor.connect_cassandra()
# Create multiple query tasks
@ -476,7 +476,7 @@ class TestObjectsGraphQLQueryIntegration:
}
}
await processor.on_schema_config(initial_config, version=1)
await processor.on_schema_config("default", initial_config, version=1)
assert len(processor.schemas) == 1
assert "simple" in processor.schemas
@ -500,7 +500,7 @@ class TestObjectsGraphQLQueryIntegration:
}
}
await processor.on_schema_config(updated_config, version=2)
await processor.on_schema_config("default", updated_config, version=2)
# Verify updated schemas
assert len(processor.schemas) == 2
@ -518,7 +518,7 @@ class TestObjectsGraphQLQueryIntegration:
async def test_large_result_set_handling(self, processor, sample_schema_config):
"""Test handling of large query result sets"""
# Setup
await processor.on_schema_config(sample_schema_config, version=1)
await processor.on_schema_config("default", sample_schema_config, version=1)
processor.connect_cassandra()
keyspace = "large_test_user"
@ -601,7 +601,7 @@ class TestObjectsGraphQLQueryPerformance:
}
}
await processor.on_schema_config(schema_config, version=1)
await processor.on_schema_config("default", schema_config, version=1)
# Measure query execution time
start_time = time.time()

2
tests/integration/test_structured_query_integration.py
View file

@ -42,7 +42,6 @@ class TestStructuredQueryServiceIntegration:
# Arrange - Create realistic query request
request = StructuredQueryRequest(
question="Show me all customers from California who have made purchases over $500",
user="trustgraph",
collection="default"
)
@ -126,7 +125,6 @@ class TestStructuredQueryServiceIntegration:
assert "orders" in objects_call_args.query
assert objects_call_args.variables["minAmount"] == "500.0" # Converted to string
assert objects_call_args.variables["state"] == "California"
assert objects_call_args.user == "trustgraph"
assert objects_call_args.collection == "default"
# Verify response