- Updated BusterConfig structure to better support project contexts
- Added get_context_for_path method to determine project context for a file
- Enhanced resolve_model_paths to respect the project hierarchy
- Updated deploy.rs to use the revised model discovery and configuration inheritance
- Added unit tests and integration tests for project config functionality
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Removed the `SecretIdResult` struct from `vault.rs` and updated `create_secret` to return `Result<()>` instead of `Result<Uuid>`.
- Adjusted the SQL query in `create_secret` to directly call the vault function without fetching the ID.
- Updated error handling in `update_secret` and `delete_secret` for consistency.
- Refactored `create_data_source_handler` to use the data source ID for storing credentials in the vault.
- Deleted the `generate.rs` command file and removed its references in the command module.
- Introduced a new `ProjectContext` struct in `exclusion.rs` to support multi-project configurations in `BusterConfig`.
- Updated the `init` command to create a new configuration structure using `ProjectContext` and sort database types alphabetically.
- Add new validation error types: ModelNotFound, InvalidRelationship, and ExpressionError
- Update deploy_v2.rs to categorize and handle these new error types
- Enhance error handling and reporting in dataset deployment process
- Add comprehensive column validation before dataset deployment
- Validate existence of all required columns in source database
- Simplify column type and nullability retrieval
- Enhance error reporting for missing columns
- Update deployment logic to use pre-validated column information
- Add detailed validation error logging in CLI
- Improve type compatibility checks in dataset validation
- Modify deployment process to handle and report validation errors more comprehensively
- Add Hash derive for Verification enum
- Update API and CLI to support more informative validation results
- Refactor stored values processing in dataset deployment to use background task
- Add `StoredValueColumn` struct to encapsulate column processing details
- Implement `process_stored_values_background` for parallel and resilient value storage
- Add logging for successful and failed stored value processing
- Update CLI to handle optional SQL definitions and improve file processing
- Refactor stored values processing in dataset deployment to use background task
- Add `StoredValueColumn` struct to encapsulate column processing details
- Implement `process_stored_values_background` for parallel and resilient value storage
- Add logging for successful and failed stored value processing
- Update CLI to handle optional SQL definitions and improve file processing