- Updates create_chart logic to automatically remove x_axis from groupby for ECharts timeseries charts, preventing duplicate dimension usage.
- Updates and expands unit test to verify x_axis is excluded from groupby, using improved test mocks for accurate backend simulation.
- Updates documentation (README.md, README_ARCHITECTURE.md, README_PHASE1_STATUS.md, README_SCHEMAS.md) to clarify create_chart tool behavior and schema, including new groupby/x_axis handling.
- No breaking changes to tool signatures; behavior is now more robust and LLM-friendly.
- Updated DatasetInfo schema to include columns and metrics fields, with new TableColumnInfo and SqlMetricInfo models.
- Updated serialize_dataset_object to serialize columns and metrics for each dataset.
- Modified list_datasets tool to use serialize_dataset_object and include columns/metrics by default.
- Improved and fixed all related unit tests to use proper MagicMock objects for columns/metrics and to parse JSON responses.
- Ensured LLM/OpenAPI compatibility for dataset listing and info tools.
- Replace dual Flask/FastAPI setup with a single, unified FastMCP server (`server.py`)
- Introduce `MCPDAOWrapper` for secure, context-aware DAO access (`dao_wrapper.py`)
- Refactor all MCP tools to be modular and domain-organized (`tools/dashboard/`, `tools/chart/`, `tools/dataset/`, `tools/system/`)
- Strongly type all tool contracts with Pydantic v2 models, including full field documentation for LLM/OpenAPI compatibility
- Refactor and extend `BaseDAO` for robust, generic CRUD/list operations
- Add and update documentation:
- Architecture and flow diagrams (`README_ARCHITECTURE.md`)
- Tool schema reference and usage instructions (`README.md`, `README_SCHEMAS.md`)
- Phase 1 status and roadmap (`README_PHASE1_STATUS.md`)
- Implement and test all core list/info tools for dashboards, datasets, and charts, with full search and filter support
- Add chart creation tool (`create_chart_simple`)
- Provide extension points for Preset-specific auth, RBAC, and logging (stubbed in Phase 1)
- Prepare for LLM/agent workflows and future command-based mutations (create/update/delete)
- Expand and update unit/integration test coverage for all tools
- Improved the BaseDAO class to robustly handle column operator logic, ensuring all supported operators (eq, ne, sw, ew, in, nin, gt, gte, lt, lte, like, ilike, is_null, is_not_null) are consistently applied via ColumnOperatorEnum.
- Refactored the apply_column_operators and list methods for clarity and reliability, including better handling of columns, relationships, and search.
- Removed 1 index base page handing from list
- Introduced generic `list` and `count` methods to BaseDAO for consistent querying and counting across all DAOs.
- Both methods support filtering (including IN queries), ordering, pagination, search across columns, custom FAB-style filters, and always-on base filters.
- Added comprehensive unit tests for `list` and `count` in `tests/unit_tests/dao/base_test.py`, covering:
- Filtering (including boolean, None, and IN queries)
- Ordering (asc/desc, multiple columns)
- Pagination (including out-of-range)
- Search across columns
- Custom filter logic
- Always-on base filter logic
- Edge cases and skip_base_filter
- Moved common test fixtures to `conftest.py` for reuse.
