03d2df26ce77719f21290dfd0048988474772517
5 Commits
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7fb3fc76c8 |
fix(plan-lifecycle): add rollback_plan method to PlanLifecycleService
- What was implemented
- Added PLAN_ROLLED_BACK event type to the EventType enum at src/cleveragents/infrastructure/events/types.py to properly represent successful rollbacks in the domain model.
- Implemented rollback_plan(plan_id: str, checkpoint_id: str) -> RollbackResult in PlanLifecycleService (src/cleveragents/application/services/plan_lifecycle_service.py) with:
- Plan state validation: rejects rollback when the plan is in terminal APPLIED or CANCELLED states.
- Delegation to CheckpointService.selective_rollback() to perform the actual rollback logic and obtain a RollbackResult.
- Emission of PLAN_ROLLED_BACK as a domain event to reflect the completed rollback.
- checkpoint_service is accepted as an optional constructor parameter; if not provided, a PlanError is raised to preserve backward compatibility.
- Updated CLI behavior in src/cleveragents/cli/commands/plan.py so agents plan rollback routes through PlanLifecycleService.rollback_plan() rather than calling CheckpointService.selective_rollback() directly.
- Updated PlanLifecycleService module docstring to include rollback_plan in the documented API.
- Added Behave feature file features/plan_lifecycle_rollback.feature with 11 scenarios covering state validation, domain events, and delegation.
- Added step implementations in features/steps/plan_lifecycle_rollback_steps.py to support the new scenarios.
- Key design decisions
- rollback_plan returns RollbackResult (the same result type produced by CheckpointService.selective_rollback) so the CLI can display rollback details consistently.
- Terminal states APPLIED and CANCELLED are disallowed for rollback to prevent inconsistent or invalid state transitions.
- checkpoint_service is optional in the PlanLifecycleService constructor; when omitted (None), a PlanError is raised to retain backward compatibility while signaling explicit dependency requirements.
- CLI UI remains powered by CheckpointService for metadata enrichment (e.g., confirmation prompts), but the actual rollback action is performed via PlanLifecycleService to ensure proper domain workflow and event emission.
- Technical implications
- All rollback logic now flows through the domain service layer (PlanLifecycleService) to preserve invariants and emit domain events, rather than allowing ad-hoc UI routes to bypass service validation.
- The UI can still retrieve checkpoint metadata for user confirmation, but the operation that modifies state uses the new rollback_plan pathway.
- Tests and behavior coverage were expanded via the new Behave feature and step implementations to validate state handling, events, and delegation.
- Affected modules/components
- src/cleveragents/infrastructure/events/types.py
- src/cleveragents/application/services/plan_lifecycle_service.py
- src/cleveragents/cli/commands/plan.py
- PlanLifecycleService module docstring
- features/plan_lifecycle_rollback.feature
- features/steps/plan_lifecycle_rollback_steps.py
ISSUES CLOSED: #3677
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7b3fcaf466 |
feat(config): implement three-scope config resolution with local config file support
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Implement three-scope configuration resolution (local > project > global) with deep merge. Add ConfigScope enum, project-root discovery, and config.local.toml file support. Changes: - Add LOCAL to ConfigLevel enum and new ConfigScope enum (GLOBAL, PROJECT, LOCAL) - Implement discover_project_root() walking up from CWD for cleveragents.toml/.cleveragents - Implement config.local.toml file loading in ConfigService - Implement three-scope deep merge via _deep_merge() helper - Add read_project_config(), read_local_config(), read_merged_config() methods - Add write_scoped_config() for writing to any scope file - Update set_value() to accept optional scope parameter - Update resolve() with six-level precedence chain (CLI > env > local > project > global > default) - Update CLI config set with --scope flag (global/project/local) - Add config.local.toml to .gitignore and DEFAULT_IGNORE_PATTERNS - Add Behave BDD scenarios for three-scope resolution, deep merge, and project-root discovery ISSUES CLOSED: #937 |
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c781848cb6
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feat(interfaces): add server client stubs
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Add protocol stubs for remote server communication infrastructure: - ServerClient: Health check and version negotiation protocol - RemoteExecutionClient: Remote plan execution and status protocol - AuthClient: Authentication and token management protocol - StubServerClient/StubRemoteExecutionClient/StubAuthClient: Stub implementations raising NotImplementedError for all methods - ServerConnectionConfig: Validated config model (server_url, namespace, auth_token_ref, tls_verify) - Config keys: core.server_url, core.server_namespace, core.server_tls_verify - CLI: agents connect <url> stub command with explicit warning - CLI: agents info shows Server Mode (disabled/stubbed) ISSUES CLOSED: #201 |
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7c4663b8ee |
feat(config): add config service with multi-level resolution
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Implement the complete configuration system with multi-level resolution chain, typed key registry, and CLI integration per specification. ConfigService changes: - Expand _build_catalog() to register all 102 spec-aligned config keys across 8 groups: core (14), server (4), actor (5), plan (8), sandbox (5), index (12), context (43), provider (11) - Each key carries exact dotted-dash name, Python type, default value, explicit env var name per spec, project-scopability flag, and description - Fix _env_name() to convert dots and dashes to underscores - Provider keys use standard env var names (e.g., OPENAI_API_KEY) CLI commands rewiring: - Rewrite config set/get/list to use ConfigService instead of Settings - Add --verbose flag to config get showing full 5-level resolution chain - Add --project flag to config set/get/list for project-scoped overrides - Support both glob and regex patterns in config list - Validate keys against ConfigService registry with actionable errors - Retain backward-compatible helper functions delegating to ConfigService Documentation: - Add docs/reference/config_resolution.md covering resolution chain, all 102 config keys, CLI commands, TOML format, and provider credentials Testing: - Update all 4 Behave feature files and step definitions to use new spec-aligned key names, env vars, and defaults (119 scenarios passing) - Add robot/config_resolution.robot with 10 integration test cases - Add benchmarks/config_resolution_bench.py with 8 time + 2 memory suites ISSUES CLOSED: #258 |
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234a2fe52a | feat(config): add config service with multi-level resolution |