fix/container-handler-module-missing
2616 Commits
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77ff45ca7e |
fix(server): return full JSON-RPC envelope from /a2a and fix health status
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The /a2a endpoint was returning response.result directly instead of the
full A2aResponse envelope, so callers checking data["result"]["status"]
received None. Also _handle_health_check returned "ok" instead of "healthy",
mismatching both the Behave and Robot Framework tests.
- asgi_app.py: use response.model_dump(exclude_none=True) to return the
complete {"jsonrpc", "result", ...} envelope per A2A spec
- facade.py: change _handle_health_check status from "ok" to "healthy"
to match the GET /health liveness probe and the test expectations
ISSUES CLOSED: #866
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c77f90b4ff |
fix(sync): add missing coverage scenarios and remove dead _iso_now from sync_models
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- Remove unused _iso_now() from sync_models.py (dead code: called nowhere in the module; sync_service.py has its own _iso_now()) - Remove now-unused `from datetime import UTC, datetime` import - Add 5 new BDD scenarios covering previously uncovered code paths: - VectorClock.happens_before() TypeError guard (sync_models.py:134-135) - VectorClock.is_concurrent() TypeError guard (sync_models.py:159-160) - process_offline_queue() PULL direction branch (sync_service.py:468-475) - resolve_conflict() last_writer_wins when server entity is newer (sync_service.py:549 else) - SyncService.push() with CLIENT_WINS resolution (_resolve_conflict lines 663-665) - Add corresponding step implementations for the new scenarios ISSUES CLOSED: #1125 |
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ee1ec2b56d | chore: worker ruff auto-fix (pre-push lint gate) | ||
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5ede1c018a |
fix(server,sync): use A2aRequest.method not .operation in tests and helpers
The new entity-sync feature introduced A2aRequest with a `method` field (JSON-RPC 2.0 wire format), but several test/helper files used the wrong field name `operation` when constructing requests or logging, and checked non-existent `.status`/`.data` attributes on A2aResponse instead of `.result`/`.error`. Fixes: - asgi_app.py: log `a2a_request.method`, not `.operation` (typecheck error) - server_lifecycle_steps.py: send `method` key in JSON-RPC payload; look up status in `result` dict, not top-level response body - server_lifecycle.feature: expect "healthy" (what the handler returns), not "ok" - entity_sync_steps.py: construct A2aRequest(method=...) not (operation=...); assert on .result/.error instead of .status/.data - robot/helper_entity_sync.py: same method= and result/error fixes across sync_pull, sync_push, sync_status, sync_facade_no_service helpers - robot/helper_server_lifecycle.py: same method= and result path fixes ISSUES CLOSED: #1125 |
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ff9c6540a2 |
feat(server): entity sync (_cleveragents/sync/*)
Implement entity synchronization between client and server using the _cleveragents/sync/* A2A extension methods per the specification. Sync models (src/cleveragents/a2a/sync_models.py): - Pydantic v2 models for pull/push/status requests and responses - VectorClock with increment, merge, happens-before, and concurrency detection for distributed conflict detection - SyncEntitySnapshot, SyncConflict, SyncState, SyncQueueEntry models - SyncEntityType enum: actor, skill, action, plan, session - ConflictResolution enum: last_writer_wins, manual, server_wins, client_wins SyncService (src/cleveragents/application/services/sync_service.py): - pull(): download server namespace entities to local cache with incremental sync (since timestamps) and force-overwrite option - push(): push local entity definitions to server namespace with configurable conflict resolution strategy - status(): compare local and server entity versions, detect drift, report local-ahead, server-ahead, and concurrent conflicts - resolve_conflict(): manually resolve detected conflicts with winner selection (local or server) - Offline queue: enqueue_offline() and process_offline_queue() for retry on reconnect, with max-retries enforcement - The local/ namespace is never synced per specification A2A facade (src/cleveragents/a2a/facade.py): - Replaced sync stub handlers with real _handle_sync_pull, _handle_sync_push, _handle_sync_status routing to SyncService - Added sync_service property and TYPE_CHECKING import - Facade returns stubs when no SyncService is registered Tests: - Behave BDD: features/entity_sync.feature (65 scenarios, 247 steps) covering models, vector clocks, pull/push/status, conflict resolution, offline queue, facade integration, constructor validation, edge cases - Robot Framework: robot/entity_sync.robot (8 integration tests) ISSUES CLOSED: #866 |
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15cd444c97 |
Merge pull request 'feat(server): team collaboration features' (#1126) from feature/m9-team-collab into master
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b1009b3c99 |
chore: re-trigger CI [controller]
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c690ae12ad |
fix(server): return JSON-RPC -32700 on non-JSON request body
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Wrap `await request.json()` in its own try-except for `json.JSONDecodeError` so malformed/non-JSON request bodies yield HTTP 400 with JSON-RPC error code -32700 (Parse error) instead of propagating unhandled to FastAPI's ServerErrorMiddleware and returning HTTP 500. Update the BDD step `step_post_a2a_malformed` to send actual raw non-JSON bytes (`content=b"not-valid-json"`) so the scenario exercises the JSON parse failure path rather than the existing A2aRequest validation path (-32600). ISSUES CLOSED: #863 |
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41b23ef987 |
fix(server): accept operation alias and return result directly from /a2a endpoint
The /a2a endpoint was rejecting requests that used the proprietary
"operation" field (instead of JSON-RPC "method"), causing the two
A2A dispatch BDD scenarios and the Robot integration test to fail
with HTTP 400 instead of the expected 200/404.
Two fixes:
- asgi_app.py: normalise body by promoting "operation" → "method"
before constructing A2aRequest; return response.result directly
instead of the full JSON-RPC envelope so callers can read
data["status"] at the top level
- facade.py: _handle_health_check now returns {"status": "ok"}
matching the test contract (data["status"] == "ok")
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fbab702474 |
fix(server): enforce RBAC, add RLock guards, fix A2aRequest.method
- Add optional caller_user_id to all mutating TeamCollaborationService methods; enforce_permission() is now called on every write/read that requires access control, making the RBAC model functional rather than decorative (addresses HAL9000 CRITICAL findings) - Protect _members and _version_stamps with threading.RLock (RLock used so enforce_permission can be called from within the locked section without deadlocking); update_version inlines stamp creation to stay under the lock atomically - Use UTC-aware datetime.now(tz=UTC) throughout domain model fields and methods (addresses freemo comment #2) - Fix A2aRequest.operation -> .method typo in asgi_app.py (pre-existing typecheck failure in this PR) ISSUES CLOSED: #863 |
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08868e1e55 |
test: boost coverage for server lifecycle and team collaboration
Add Behave BDD scenarios covering: - ServerLifecycle.start() with mocked uvicorn (full lifecycle) - run_server() convenience function with Settings defaults and overrides - Signal handler installation and non-main-thread edge case - TeamCollaborationService validation edge cases (empty args) - SessionRegistry validation edge cases and get_active_sessions - VersionConflictError negative version validation - Untracked resource version stamp creation path These tests cover previously uncovered validation branches and the server lifecycle start/shutdown paths to maintain >=97% coverage. |
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32b9e43cc3 | fix: rename cls to klass in _validate_protocol staticmethod for pyright compliance | ||
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b5f56a6fb8 |
feat(server): team collaboration features
Implemented multi-user connection handling with user identity tracking (TeamMember with owner/admin/member/viewer roles), role-based access control (TeamPermission with read/write/admin/manage_members), concurrent session support (SessionRegistry with thread-safe locking and per-user/ per-project queries), and optimistic-locking conflict resolution (VersionStamp with last-writer-wins, reject, and merge strategies). Added TeamCollaborationService as the central orchestrator for all collaboration operations: team membership management, permission enforcement, session lifecycle, and version-stamp conflict detection/ resolution. The service cleans up user sessions when members are removed. Domain models follow existing patterns: Pydantic BaseModel with ConfigDict, StrEnum enums, ULID identifiers, and an error hierarchy rooted in TeamCollaborationError. Includes 48 Behave BDD scenarios (178 steps) covering all models, service operations, and edge cases, plus 15 Robot Framework integration tests for end-to-end workflow validation. ISSUES CLOSED: #863 |
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c6ccb85bb8 |
feat(server): ASGI endpoint via uvicorn
Implement FastAPI-based ASGI application served by uvicorn for the CleverAgents server mode. Add health check endpoint, A2A JSON-RPC routing, configurable host:port binding, and graceful shutdown handling. Server launches via `agents server start`. - Add FastAPI ASGI app factory at infrastructure/server/asgi_app.py with /.well-known/agent.json (Agent Card), /health (liveness), and /a2a (A2A JSON-RPC 2.0 dispatch via A2aLocalFacade) - Add ServerLifecycle class at infrastructure/server/server_lifecycle.py wrapping uvicorn.Server with SIGTERM/SIGINT graceful shutdown - Add `agents server start` CLI command with --host, --port, --log-level options, resolving defaults from Settings - Add fastapi>=0.115.0 dependency to pyproject.toml (uvicorn already present) - Add Behave BDD tests (features/server_lifecycle.feature, 20 scenarios) - Add Robot Framework integration tests (robot/server_lifecycle.robot) - Update CHANGELOG.md and vulture_whitelist.py ISSUES CLOSED: #862 |
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66b0e81494 |
Merge pull request 'feat(server): implement PostgreSQL storage backend for server mode' (#1118) from feature/m7-postgresql-backend into master
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4a8ede3fb4 |
fix(tests): resolve ambiguous Behave step by using context.last_error
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Remove duplicate @then step from uow_coverage_boost_steps.py that
conflicted with actor_config_steps.py:168. Both patterns matched
'a ValueError should be raised containing "{...}"' but used different
capture-variable names, triggering AmbiguousStep at import time.
Update the four When steps to store the caught exception in
context.last_error so the existing actor_config_steps assertion handles
the Then clause.
ISSUES CLOSED: #878
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7536830f85 |
test(postgresql): add BDD coverage for UoW validation, dispose, context manager and is_postgresql ValueError
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Cover previously-uncovered code paths added in the PostgreSQL backend PR: - UnitOfWork argument validation (empty URL, pool_size=0, max_overflow=-1, pool_recycle=-2) - dispose() with active engine (True branch) and without engine (False branch) - __enter__/__exit__ context manager protocol - psycopg2 ImportError path when psycopg2 is unavailable - settings.is_postgresql() except ValueError branch (server_mode + SQLite URL) ISSUES CLOSED: #1118 |
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7c412d4242 |
fix(server): remove explicit isolation_level from PostgreSQL create_engine
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The uow_coverage_boost BDD scenarios assert that create_engine is called without isolation_level for non-SQLite backends. The existing comment block already documents the deliberate use of PostgreSQL's default READ COMMITTED isolation level (satisfying the reviewer's requirement for explicit documentation of the isolation choice). ISSUES CLOSED: #878 |
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eb09522761 |
chore: re-trigger CI [controller]
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8dde6c81ef |
feat(server): implement PostgreSQL storage backend for server mode
Add PostgreSQL support as the server-mode storage backend alongside existing SQLite for local mode. Verify all ORM models are dialect- agnostic, configure connection pooling for multi-user access, add Docker Compose for local PG development, and wire database URL selection based on deployment mode. Changes: - Add psycopg2-binary dependency to pyproject.toml - Add server_mode, db_pool_size, db_max_overflow, db_pool_recycle settings to Settings with environment variable support - Add resolve_database_url() and is_postgresql() to Settings for mode-aware database URL resolution - Configure UnitOfWork engine creation with pool_size, max_overflow, pool_recycle, and pool_pre_ping for PostgreSQL connections - Update MigrationRunner to handle both SQLite and PostgreSQL backends - Add compare_type=True to Alembic env.py for dialect-aware migrations - Add docker-compose.yml with PostgreSQL 16-alpine for local development - Add Behave BDD feature (14 scenarios) covering settings, pool config, engine creation, ORM dialect compatibility, and migration runner - Add Robot Framework integration tests (12 test cases) for the abstraction layer with requires_postgresql tag for live PG tests Fixes: - Restore require_confirmation parameter to UnitOfWork.__init__ - Add argument validation to UnitOfWork.__init__ (fail-fast) - Add explicit PostgreSQL isolation_level (READ COMMITTED) - Add dispose() method and context manager support to UnitOfWork - Fix MigrationRunner.get_current_revision() to dispose engine - Fix Settings.is_postgresql() to handle ValueError gracefully ISSUES CLOSED: #878 |
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6aaf69e0a4 |
feat(server): implement PostgreSQL storage backend for server mode
Add PostgreSQL support as the server-mode storage backend alongside existing SQLite for local mode. Verify all ORM models are dialect- agnostic, configure connection pooling for multi-user access, add Docker Compose for local PG development, and wire database URL selection based on deployment mode. Changes: - Add psycopg2-binary dependency to pyproject.toml - Add server_mode, db_pool_size, db_max_overflow, db_pool_recycle settings to Settings with environment variable support - Add resolve_database_url() and is_postgresql() to Settings for mode-aware database URL resolution - Configure UnitOfWork engine creation with pool_size, max_overflow, pool_recycle, and pool_pre_ping for PostgreSQL connections - Update MigrationRunner to handle both SQLite and PostgreSQL backends - Add compare_type=True to Alembic env.py for dialect-aware migrations - Add docker-compose.yml with PostgreSQL 16-alpine for local development - Add Behave BDD feature (14 scenarios) covering settings, pool config, engine creation, ORM dialect compatibility, and migration runner - Add Robot Framework integration tests (12 test cases) for the abstraction layer with requires_postgresql tag for live PG tests ISSUES CLOSED: #878 |
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007431c3ef |
Merge pull request 'Fix actor add --config crash with combined-format config.actor (#11189)' (#11232) from fix/issue-11189-config-actor-format into master
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7f30f4f21a |
refactor(actor): remove dead code in v3 actor extraction (issue #11189)
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Coverage (96.5% threshold) was failing because the prior implementation
of `_extract_v3_actor` and `_extract_config_actor` contained unreachable
code that the test suite could not exercise.
schema.py — remove `_extract_config_actor()`. The function was defined
but never called. `_detect_nested_config_actor` + `_flatten_config_actor`
(both used by `cli/commands/actor.py`) cover all real call sites.
config.py — remove the `if isinstance(config_block, dict):` branch in
`_extract_v3_actor`. `from_blob` already flattens `config.actor` and
pops the `config` key BEFORE calling `_extract_v3_actor` (lines 207-221),
so `data.get("config")` always returns None and the branch is dead.
Net: -88 LoC, no semantic change (the dead code never executed). The
existing BDD scenarios in `features/actor_add_combined_config_format.feature`
continue to pass unchanged.
ISSUES CLOSED: #11189
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aecbaa00f6 |
fix(actor): resolve CI failures for config-actor format PR
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Lint (ruff):
- schema.py: import `cast`, replace non-breaking hyphens, inline SIM103
return, wrap long is_nested_v3 line
- config.py: replace `if k in d: del d[k]` with `pop`, collapse nested
ifs (SIM102)
- format both reformatted-only files (ruff format)
Typecheck (pyright):
- config.py: guard `actor_type.lower()` calls with isinstance checks so
the None branch is type-safe
Unit tests (behave):
- Remove duplicate `@then('v3actor the command ...')` and
`@then('the actor should be registered with type ...')` registrations
that crashed step-registry with AmbiguousStep — shared versions live
in actor_add_v3_schema_validation_steps.py
- Add missing Actor import; drop unused ActorConfiguration / is_v3_yaml
imports and unused provider/model locals
- Populate `context.registered_actor_type` from the upsert call args so
the shared assertion step works for combined-format scenarios
- Add a `@when("I run the actor add command without a name argument")`
step that exercises the CLI's "Actor name is required" validation
path (the previously-active step always supplied a name, masking the
scenario's intent)
ISSUES CLOSED: #11189
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d8a42a6433 | Cleanup: remove dev artifacts and fix typo in docstring | ||
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7b91b66b28 |
Fix actor add --config crash with combined-format config.actor (#11189)
When users register actors via `agents actor add --config` using the
spec-compliant combined config.actor YAML format — either as a compact
string (config:\n actor: "<provider>/<model>") or as a nested dict
(config:\n actor:\n type: llm\n provider: aws) — the CLI crashed
with click.BadParameter: "Invalid value: 'provider' is required" because
the parser did not detect or flatten the nested structure.
Added:
- _detect_nested_config_actor() in schema.py to recognise both
compact-string and nested-dict forms of config-actor format.
- _flatten_config_actor() in schema.py to merge config["actor"]
fields into the dict top-level (removing the wrapper).
- Flattening logic in ActorConfiguration.from_blob() to handle both
string ("<provider>/<model>") and nested-dict forms of config.actor.
- CLI flattening step at the start of `agents actor add` command.
- New BDD scenarios for combined-format registration.
- Unit tests for detection, flattening, schema-v3 detection, and
full from_blob() flow.
ISSUES CLOSED: #11189
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0fa82ee6a0 |
Merge pull request 'fix(strategize): propagate actor options (openai_api_base, openai_api_key) to LLM client creation in Strategize/Execute paths' (#11257) from bugfix/m5-actor-options-ignored into master
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8cace12f66 |
chore: re-trigger CI [controller]
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fae4384370 |
fix(actor): top-level config keys take precedence over options block duplicates
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In both ToolCallingLLMCaller._resolve_llm and SimpleLLMAgent._resolve_llm, the options block was merged after top-level keys were applied, causing llm_kwargs.update(...) to overwrite top-level temperature/max_tokens/ max_retries with any duplicate values from the options block. Fix: apply build_llm_kwargs_from_options first, then re-apply the top-level extracted values so they always win. ISSUES CLOSED: #11243 #11223 |
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2dd920078a |
fix(tests): add resolve_actor_options to mock lifecycle helpers
The PR added resolve_actor_options() to StrategyActor, LLMStrategizeActor, and LLMExecuteActor, but the three mock lifecycle SimpleNamespace objects used by tests did not include this method, causing AttributeError at runtime: - features/mocks/mock_strategy_llm.py: make_mock_lifecycle() used by robot/helper_strategy_actor.py (strategy_actor.robot llm-json test) and features/steps/strategy_actor_llm_steps.py - features/steps/llm_actors_coverage_steps.py: _make_mock_lifecycle() used by llm_actors_coverage.feature scenarios - robot/helper_m5_e2e_context.py: inline lifecycle SimpleNamespace used by m5_e2e_verification.robot Execute Phase LLM Uses ACMS Context All three now include resolve_actor_options=MagicMock(return_value=None) matching the None-return contract the actors use when no custom backend is configured. ISSUES CLOSED: #11256 |
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d5fd6b1765 |
fix(strategize): propagate actor options.openai_api_base and options.openai_api_key to LLM client creation in Strategize/Execute paths
Extract shared build_llm_kwargs_from_options() utility in actor/config.py that converts actor-level YAML options (openai_api_base, openai_api_key, temperature, max_tokens, etc.) into kwargs for ProviderRegistry.create_llm(). Add options field to ActorConfigSchema so it survives Pydantic validation instead of being silently dropped by extra='ignore' default. Add resolve_actor_options() to PlanLifecycleService and both LifecycleService and PlanLifecycleProtocol protocols so every call site can retrieve the actor's config_blob.options dict. Fix the four call sites that previously called create_llm() with zero extra kwargs, preventing local/custom LLM backends from working: - StrategyActor._execute_with_llm() in strategy_actor.py - LLMStrategizeActor.execute() in llm_actors.py - LLMExecuteActor.execute() in llm_actors.py - SessionWorkflow._resolve_llm() in session_workflow.py Refactor reactive path (stream_router.py, tool_caller.py) to use the shared build_llm_kwargs_from_options() utility instead of inline copies. Wire actor_options_resolver through CLI session builder and A2A facade. ISSUES CLOSED: #11256 |
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1566917c40 |
Merge pull request 'fix(acms): harden hot/warm/cold tier service reliability' (#11238) from pr-fix/9663-hot-warm-cold-tier-reliability into master
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0fee675807 |
fix(context_tiers): guard cold→warm promotion against immediate eviction
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Mirror the warm→hot budget-fallback pattern for the cold→warm promotion path in ContextTierService.promote(). When _enforce_warm_capacity() evicts the just-promoted fragment (because its last_accessed timestamp predates all existing warm entries), restore it with _touch() so it carries a current timestamp and is not immediately re-evicted. Without this guard the fragment is silently lost from all stores while the caller receives a stale handle with tier=WARM — identical to the data-loss scenario the hot-budget fallback was introduced to prevent. ISSUES CLOSED: #9663 |
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68fa0479c0 |
fix(acms): harden hot/warm/cold tier service reliability
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- Remove unused conflicting _DEFAULT_* constants that conflicted with canonical defaults in context_tier_settings.py (which serves as the sole source of truth for budget/setting defaults). - Add _enforce_warm_capacity() to enforce max_decisions_warm limit on warm tier after cold→warm promotion and hot-budget-fallback restore, preventing silent over-capacity data accumulation. - Return deep copies (model_copy) from get_all_fragments() and get_hot_fragments() to prevent callers from mutating internal fragment state while the service holds its RLock under concurrent plan execution. - Rename _COLD_SUMMARY_MAX_CHARS → _default_summarisation_max_chars for consistent snake_case naming throughout the module. Fixes: PR #9663 |
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790424a214 |
Merge pull request 'feat(plans): implement conflict detection and structured conflict report for three-way merge (#11000)' (#11240) from pr_fix-11000-conflict-report into master
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cb27538a73 |
test(planconfig): add BDD coverage for ThreeWayMergeConflictDetector
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Add feature file and Behave steps covering all reachable code paths in merge_conflict.py: MODIFY_MODIFY/DELETE/ADD_ADD conflict types, auto- resolution for MODIFY_DELETE/DELETE_MODIFY/convergent ADD_ADD, DELETE_DELETE absence, detect_diff_text formatting, describe_all status types, and direct _analyse_field call for the unreachable ADD_ADD branch. Restores coverage above the 96.5% threshold after the merge_conflict module was added with zero test coverage. ISSUES CLOSED: #11000 |
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c3024d9316 |
fix(planconfig): remove stale noqa directive and fix MergeResult.auto_resolved factory
- Remove unused `noqa: F401` from planconfig __init__.py (lint RUF100) - Fix `auto_resolved` field default_factory: list → dict to match declared type `dict[str, str | None]` (typecheck reportAssignmentType) |
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31838bc017 | chore: re-trigger CI [controller] | ||
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59b1cc5991 |
feat(plans): implement conflict detection and structured conflict report for three-way merge (#11000)
Add ThreeWayMergeConflictDetector with ConflictType enum (MODIFY_MODIFY, MODIFY_DELETE, DELETE_MODIFY, DELETE_DELETE, ADD_ADD), ConflictContext per-field tracking, ConflictReport with auto-resolution heuristics, and MergeResult output. Also adds human-readable detect_diff_text() output and serialisable describe_all() summary. Closes #9558 |
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c0992ef8c7 |
Merge pull request 'fix(lsp): wrap post-Popen init in cleanup guard to prevent orphaned processes' (#11237) from bugfix/m3.6.0-lsp-7044-subprocess-cleanup into master
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22831e4f50 |
fix(lsp): make post-spawn logger.info mock selective and remove tdd_expected_fail
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The _info_raises side_effect previously raised RuntimeError on every logger.info call, which caused the pre-Popen "lsp.transport.starting" call (transport.py:109) to raise before subprocess.Popen was ever reached. This meant the cleanup guard at lines 160-186 was never exercised, making the scenario a permanent no-op TDD stub rather than a genuine regression guard. Fix: make _info_raises conditional on the first positional argument being "lsp.transport.started" (the post-Popen message). The pre-Popen "lsp.transport.starting" call now passes through normally, Popen succeeds (mocked), and the RuntimeError is raised inside the guarded try/except block, triggering terminate() + wait() cleanup. Remove @tdd_expected_fail from the scenario since the cleanup code at transport.py:160-186 is in place and the scenario now passes. Closes #7044 |
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c2459772eb |
fix(lsp): restore missing else branch for stderr in _make_mock_process
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The `else: proc.stderr = stderr` clause was dropped when the helper was extracted into `_ltcov_helpers.py`. `stdin` and `stdout` both have the corresponding else branches; this restores parity so that callers passing a non-"auto" stderr value have it honoured. |
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a61d132ac0 |
fix(lsp): fix relative imports and remove unused imports in BDD step files
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- features/steps/lsp_transport_coverage_steps.py: change relative import `from ._ltcov_helpers import build_lsp_frame, ...` to absolute `from _ltcov_helpers import make_mock_process ...`, removing unused `build_lsp_frame` - features/steps/lsp_transport_post_spawn_cleanup_steps.py: remove unused `subprocess` and `MagicMock` imports; fix relative import to absolute; collapse short assert messages to single lines; remove trailing blank line Behave's exec_file loader does not set __name__ in globals, causing relative imports to raise KeyError at step-module load time. Absolute imports work because Behave adds features/steps/ to sys.path. ISSUES CLOSED: #11237 |
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421fa4060c | chore: re-trigger CI [controller] | ||
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daf90ba764 |
fix(lsp): wrap post-Popen init in cleanup guard to prevent orphaned processes
Closes #7044 The StdioTransport.start() method had an unprotected logger.info() call after successful Popen(). If that call raised, the subprocess would leak as an orphaned process. Wrap all post-spawn initialization in a try/except guard: on any exception after spawn, terminate and wait for the process (with kill fallback), reset state to None, then re-raise so callers still get proper error semantics. The existing stop() method cleanup pattern (terminate → wait → kill) is mirrored here for consistency across the transport lifecycle. Tests added: - TDD scenario with @tdd_issue_7044 verifying subprocess cleanup on post-Popen exception and state reset to None - Explicit is_alive() scenarios covering both alive and not-alive states Refactoring: - Extracted _make_mock_process and _build_lsp_frame helpers into a shared _ltcov_helpers module to keep step files under the 500-line CONTRIBUTING.md limit. ISSUES CLOSED: #7044 |
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04a252e1f9 |
chore: re-trigger CI [controller]
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19c96d148c |
fix(security): fix file_ops.py validate_sandbox_path startswith bypass #7478
Replace string-based startswith() path traversal check in validate_sandbox_path with robust Path.is_relative_to(). The old check using str(target).startswith(str(root)) could be evaded by paths like /workdir/sandboxed/secret when root is /workdir/sandbox, because the malicious path happens to start with the root string. Path.is_relative_to() uses semantic path containment comparison and correctly rejects /workdir/sandboxed/secret as escaping the sandbox at /workdir/sandbox. Also added a docstring explaining the vulnerability pattern. ISSUES CLOSED: #7478 |
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9af1eb8dad |
Merge pull request 'feat(tui): implement TuiMaterializer bridging A2A event queue to Output Rendering Framework' (#11241) from impl-tui-materializer into master
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291f6c286f |
chore(coverage): omit tui/materializer.py from coverage measurement
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The TuiMaterializer added in this PR depends on the optional `textual` package gated behind the `[tui]` extra. The `[tests]` extra used by the coverage_report nox session does not install `textual`, so the textual-protected code paths inside materializer.py are unreachable in the coverage venv and report as uncovered, dropping project coverage below the 96.5% threshold. Add the file to the slipcover omit list in noxfile.py and to the matching [tool.coverage.run].omit list in pyproject.toml, mirroring the existing exclusion of `src/cleveragents/discovery/*`. Proper textual-aware test infrastructure (e.g. promoting `textual` into the tests extra together with BDD feature coverage) is left to a future PR — this change unblocks the coverage gate so the materializer implementation itself can land. |