- Implement V2 execution model in the standard executor, simplifying task execution to a single call without validation loops.
- Introduce support for resuming suspended executions, allowing for human input during task processing.
- Enhance event handling by pushing task completion and failure events to the event bus for better tracking and integration.
- Update tests to reflect changes in execution flow and ensure robust handling of task statuses and results.
- Updated execution control methods (`PauseExecution`, `ResumeExecution`, `StopExecution`) to include error handling and database status updates for paused, running, and cancelled states.
- Introduced `ExecuteWithControl` method in the Executor interface to manage execution with pause/resume capabilities, allowing for better control during execution.
- Enhanced the `Execute` methods across different executors (DryRun, Sandbox, Standard) to support pre-generated execution IDs and control mechanisms.
- Improved error messages in the execution handling API to provide clearer feedback on execution status and errors.
- Added support for a new execution status `ExecPaused` in the execution model, enhancing the tracking of execution states.
- Added assertions in multiple integration tests to verify that robots are correctly loaded into the cache during various execution scenarios.
- Updated tests for clock triggers, concurrent executions, control tests, event triggers, and human interventions to ensure comprehensive coverage of cache functionality.
- Improved test reliability by confirming the presence of expected robots in the cache, enhancing overall test robustness.
- Marked Phase 3 of the scheduling system as complete in TODO.md, highlighting the successful implementation of all sub-tasks and the passing of over 80 integration tests.
- Updated the integration test section to reflect completed tests for various triggers and execution scenarios, ensuring comprehensive coverage of the scheduling pipeline.
- Added new test files for core scheduling flow, clock trigger modes, human intervention, event triggers, concurrent executions, and control tests, enhancing overall test coverage and stability.
- Improved assertions in existing tests to utilize the Eventually pattern for better handling of timing variations in CI environments.
