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@AayushTyagi1 AayushTyagi1 commented Dec 8, 2025

Testing

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Summary of Changes

Hello @AayushTyagi1, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request significantly enhances the reliability and maintainability of the Couchbase MCP server by implementing a new set of automated integration tests. These tests are designed to validate the server's core functionalities and the behavior of its exposed tools against a live Couchbase cluster, providing a critical layer of quality assurance for future development.

Highlights

  • Automated Integration Testing: Introduced a comprehensive suite of automated integration tests for the Couchbase MCP server, ensuring robust verification of its functionalities and tool interactions with a demo cluster.
  • Test Infrastructure Setup: Added pytest and pytest-asyncio as development dependencies, along with a conftest.py file that provides shared fixtures and utilities for test environment setup, MCP client session management, and response processing.
  • Extensive Tool Coverage: New test files (test_index_tools.py, test_kv_tools.py, test_query_tools.py, test_server_tools.py, test_mcp_integration.py) have been added to cover a wide range of MCP server tools, including index management, key-value operations, N1QL queries, and server configuration/health checks.
  • Documentation Update: The README.md has been updated with clear instructions on how to set up and run the newly added integration tests.
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Code Review

This pull request introduces a comprehensive suite of integration tests for the MCP server, which is an excellent addition for ensuring the stability and correctness of the provided tools. The tests cover various tool categories, including KV, query, index, and server operations. The test setup in conftest.py is well-structured, and the tests are clear, covering important use cases and including cleanup for created test data. I have a couple of suggestions to improve the testing instructions and make one of the tests more robust.

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Pull request overview

This PR introduces comprehensive automated testing infrastructure for the MCP server, including unit tests for utility modules and integration tests for all server tools (KV operations, queries, indexes, and server management).

Key Changes

  • Added pytest-based test suite with both unit and integration tests
  • Implemented test fixtures and utilities for MCP session management
  • Added testing configuration to pyproject.toml and documentation to README

Reviewed changes

Copilot reviewed 9 out of 10 changed files in this pull request and generated 1 comment.

Show a summary per file
File Description
tests/conftest.py Shared test fixtures, MCP session management, and configuration constants
tests/test_utils.py Unit tests for utility functions in index_utils, constants, config, connection, and context modules
tests/test_mcp_integration.py Integration tests for tool registration, descriptions, schemas, and basic server connectivity
tests/test_server_tools.py Integration tests for server management tools (buckets, scopes, collections, health checks)
tests/test_kv_tools.py Integration tests for key-value operations (get, upsert, delete documents)
tests/test_query_tools.py Integration tests for query tools (schema inference, SQL++ queries)
tests/test_index_tools.py Integration tests for index management tools (list indexes, advisor recommendations)
pyproject.toml Added pytest dependencies and asyncio configuration
README.md Added integration testing documentation section

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Comment on lines +506 to +520
mock_ctx.request_context.lifespan_context.cluster = mock_cluster
return mock_cluster

with patch(
"utils.context.connect_to_couchbase_cluster",
side_effect=set_cluster_side_effect,
):
# Since cluster is None, it will try to connect
# The function sets the cluster and then returns it
# We need to adjust the mock behavior
pass

# Test the path where cluster already exists
mock_ctx.request_context.lifespan_context.cluster = mock_cluster
result = get_cluster_connection(mock_ctx)
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This test function sets up mocks but doesn't actually invoke get_cluster_connection to test the path where the cluster doesn't exist initially (lines 505-516 are setup but pass does nothing). The test only verifies the path where cluster already exists (lines 519-521). Consider calling get_cluster_connection(mock_ctx) before line 518 to test the connection creation path, or remove the unused setup code.

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