mirror of
https://github.com/trustgraph-ai/trustgraph.git
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38826c7de1
* trustgraph-base .chunks / .documents confusion in the API * Added tests, fixed test failures in code * Fix file dup error * Fix contract error
261 lines
No EOL
9 KiB
Python
261 lines
No EOL
9 KiB
Python
"""
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Contract tests for document embeddings message schemas and translators
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Ensures that message formats remain consistent across services
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"""
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import pytest
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from unittest.mock import MagicMock
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from trustgraph.schema import DocumentEmbeddingsRequest, DocumentEmbeddingsResponse, Error
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from trustgraph.messaging.translators.embeddings_query import (
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DocumentEmbeddingsRequestTranslator,
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DocumentEmbeddingsResponseTranslator
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)
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class TestDocumentEmbeddingsRequestContract:
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"""Test DocumentEmbeddingsRequest schema contract"""
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def test_request_schema_fields(self):
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"""Test that DocumentEmbeddingsRequest has expected fields"""
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# Create a request
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request = DocumentEmbeddingsRequest(
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vectors=[[0.1, 0.2, 0.3], [0.4, 0.5, 0.6]],
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limit=10,
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user="test_user",
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collection="test_collection"
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)
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# Verify all expected fields exist
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assert hasattr(request, 'vectors')
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assert hasattr(request, 'limit')
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assert hasattr(request, 'user')
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assert hasattr(request, 'collection')
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# Verify field values
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assert request.vectors == [[0.1, 0.2, 0.3], [0.4, 0.5, 0.6]]
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assert request.limit == 10
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assert request.user == "test_user"
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assert request.collection == "test_collection"
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def test_request_translator_to_pulsar(self):
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"""Test request translator converts dict to Pulsar schema"""
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translator = DocumentEmbeddingsRequestTranslator()
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data = {
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"vectors": [[0.1, 0.2], [0.3, 0.4]],
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"limit": 5,
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"user": "custom_user",
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"collection": "custom_collection"
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}
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result = translator.to_pulsar(data)
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assert isinstance(result, DocumentEmbeddingsRequest)
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assert result.vectors == [[0.1, 0.2], [0.3, 0.4]]
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assert result.limit == 5
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assert result.user == "custom_user"
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assert result.collection == "custom_collection"
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def test_request_translator_to_pulsar_with_defaults(self):
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"""Test request translator uses correct defaults"""
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translator = DocumentEmbeddingsRequestTranslator()
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data = {
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"vectors": [[0.1, 0.2]]
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# No limit, user, or collection provided
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}
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result = translator.to_pulsar(data)
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assert isinstance(result, DocumentEmbeddingsRequest)
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assert result.vectors == [[0.1, 0.2]]
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assert result.limit == 10 # Default
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assert result.user == "trustgraph" # Default
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assert result.collection == "default" # Default
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def test_request_translator_from_pulsar(self):
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"""Test request translator converts Pulsar schema to dict"""
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translator = DocumentEmbeddingsRequestTranslator()
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request = DocumentEmbeddingsRequest(
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vectors=[[0.5, 0.6]],
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limit=20,
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user="test_user",
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collection="test_collection"
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)
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result = translator.from_pulsar(request)
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assert isinstance(result, dict)
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assert result["vectors"] == [[0.5, 0.6]]
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assert result["limit"] == 20
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assert result["user"] == "test_user"
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assert result["collection"] == "test_collection"
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class TestDocumentEmbeddingsResponseContract:
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"""Test DocumentEmbeddingsResponse schema contract"""
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def test_response_schema_fields(self):
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"""Test that DocumentEmbeddingsResponse has expected fields"""
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# Create a response with chunks
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response = DocumentEmbeddingsResponse(
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error=None,
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chunks=["chunk1", "chunk2", "chunk3"]
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)
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# Verify all expected fields exist
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assert hasattr(response, 'error')
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assert hasattr(response, 'chunks')
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# Verify field values
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assert response.error is None
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assert response.chunks == ["chunk1", "chunk2", "chunk3"]
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def test_response_schema_with_error(self):
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"""Test response schema with error"""
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error = Error(
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type="query_error",
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message="Database connection failed"
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)
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response = DocumentEmbeddingsResponse(
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error=error,
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chunks=None
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)
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assert response.error == error
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assert response.chunks is None
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def test_response_translator_from_pulsar_with_chunks(self):
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"""Test response translator converts Pulsar schema with chunks to dict"""
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translator = DocumentEmbeddingsResponseTranslator()
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response = DocumentEmbeddingsResponse(
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error=None,
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chunks=["doc1", "doc2", "doc3"]
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)
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result = translator.from_pulsar(response)
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assert isinstance(result, dict)
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assert "chunks" in result
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assert result["chunks"] == ["doc1", "doc2", "doc3"]
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def test_response_translator_from_pulsar_with_bytes(self):
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"""Test response translator handles byte chunks correctly"""
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translator = DocumentEmbeddingsResponseTranslator()
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response = MagicMock()
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response.chunks = [b"byte_chunk1", b"byte_chunk2"]
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result = translator.from_pulsar(response)
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assert isinstance(result, dict)
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assert "chunks" in result
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assert result["chunks"] == ["byte_chunk1", "byte_chunk2"]
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def test_response_translator_from_pulsar_with_empty_chunks(self):
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"""Test response translator handles empty chunks list"""
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translator = DocumentEmbeddingsResponseTranslator()
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response = MagicMock()
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response.chunks = []
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result = translator.from_pulsar(response)
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assert isinstance(result, dict)
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assert "chunks" in result
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assert result["chunks"] == []
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def test_response_translator_from_pulsar_with_none_chunks(self):
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"""Test response translator handles None chunks"""
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translator = DocumentEmbeddingsResponseTranslator()
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response = MagicMock()
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response.chunks = None
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result = translator.from_pulsar(response)
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assert isinstance(result, dict)
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assert "chunks" not in result or result.get("chunks") is None
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def test_response_translator_from_response_with_completion(self):
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"""Test response translator with completion flag"""
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translator = DocumentEmbeddingsResponseTranslator()
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response = DocumentEmbeddingsResponse(
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error=None,
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chunks=["chunk1", "chunk2"]
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)
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result, is_final = translator.from_response_with_completion(response)
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assert isinstance(result, dict)
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assert "chunks" in result
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assert result["chunks"] == ["chunk1", "chunk2"]
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assert is_final is True # Document embeddings responses are always final
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def test_response_translator_to_pulsar_not_implemented(self):
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"""Test that to_pulsar raises NotImplementedError for responses"""
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translator = DocumentEmbeddingsResponseTranslator()
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with pytest.raises(NotImplementedError):
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translator.to_pulsar({"chunks": ["test"]})
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class TestDocumentEmbeddingsMessageCompatibility:
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"""Test compatibility between request and response messages"""
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def test_request_response_flow(self):
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"""Test complete request-response flow maintains data integrity"""
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# Create request
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request_data = {
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"vectors": [[0.1, 0.2, 0.3]],
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"limit": 5,
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"user": "test_user",
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"collection": "test_collection"
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}
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# Convert to Pulsar request
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req_translator = DocumentEmbeddingsRequestTranslator()
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pulsar_request = req_translator.to_pulsar(request_data)
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# Simulate service processing and creating response
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response = DocumentEmbeddingsResponse(
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error=None,
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chunks=["relevant chunk 1", "relevant chunk 2"]
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)
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# Convert response back to dict
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resp_translator = DocumentEmbeddingsResponseTranslator()
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response_data = resp_translator.from_pulsar(response)
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# Verify data integrity
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assert isinstance(pulsar_request, DocumentEmbeddingsRequest)
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assert isinstance(response_data, dict)
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assert "chunks" in response_data
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assert len(response_data["chunks"]) == 2
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def test_error_response_flow(self):
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"""Test error response flow"""
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# Create error response
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error = Error(
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type="vector_db_error",
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message="Collection not found"
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)
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response = DocumentEmbeddingsResponse(
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error=error,
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chunks=None
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)
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# Convert response to dict
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translator = DocumentEmbeddingsResponseTranslator()
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response_data = translator.from_pulsar(response)
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# Verify error handling
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assert isinstance(response_data, dict)
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# The translator doesn't include error in the dict, only chunks
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assert "chunks" not in response_data or response_data.get("chunks") is None |