feat(027): Final Phase T038-T043 implementation

- T038: SessionEvent logger and persistence logic
  - Added SessionEventLogger service with explicit audit event persistence
  - Added SessionEvent model with events relationship on DatasetReviewSession
  - Integrated event logging into orchestrator flows and API mutation endpoints

- T039: Semantic source version propagation
  - Added source_version column to SemanticFieldEntry
  - Added propagate_source_version_update() to SemanticResolver
  - Preserves locked/manual field invariants during propagation

- T040: Batch approval API and UI actions
  - Added batch semantic approval endpoint (/fields/semantic/approve-batch)
  - Added batch mapping approval endpoint (/mappings/approve-batch)
  - Added batch approval actions to SemanticLayerReview and ExecutionMappingReview components
  - Aligned batch semantics with single-item approval contracts

- T041: Superset compatibility matrix tests
  - Added test_superset_matrix.py with preview and SQL Lab fallback coverage
  - Tests verify client method preference and matrix fallback behavior

- T042: RBAC audit sweep on session-mutation endpoints
  - Added _require_owner_mutation_scope() helper
  - Applied owner guards to update_session, delete_session, and all mutation endpoints
  - Ensured no bypass of existing permission checks

- T043: i18n coverage for dataset-review UI
  - Added workspace state labels (empty/importing/review) to en.json and ru.json
  - Added batch action labels for semantics and mappings
  - Fixed workspace state comparison to lowercase strings
  - Removed hardcoded workspace state display strings

Signed-off-by: Implementation Specialist <impl@ss-tools>

.gitignore

@@ -59,21 +59,22 @@ keyring passwords.py
 *github*
 
 *tech_spec*
-/dashboards
-dashboards_example/**/dashboards/
-backend/mappings.db
+/dashboards
+dashboards_example/**/dashboards/
+backend/mappings.db
 
 
 backend/tasks.db
-backend/logs
-backend/auth.db
-semantics/reports
-backend/tasks.db
-backend/**/*.db
-backend/**/*.sqlite
-
-# Universal / tooling
-node_modules/
+backend/logs
+backend/auth.db
+semantics/reports
+backend/tasks.db
+backend/**/*.db
+backend/**/*.sqlite
+
+# Universal / tooling
+node_modules/
 .venv/
 coverage/
 *.tmp
+logs/app.log.1

.kilocode/mcp.json

@@ -1 +1 @@
-{"mcpServers":{"axiom-core":{"command":"/home/busya/dev/ast-mcp-core-server/.venv/bin/python","args":["-c","from src.server import main; main()"],"env":{"PYTHONPATH":"/home/busya/dev/ast-mcp-core-server"},"alwaysAllow":["read_grace_outline_tool","ast_search_tool","get_semantic_context_tool","build_task_context_tool","audit_contracts_tool","diff_contract_semantics_tool","simulate_patch_tool","patch_contract_tool","rename_contract_id_tool","move_contract_tool","extract_contract_tool","infer_missing_relations_tool","map_runtime_trace_to_contracts_tool","scaffold_contract_tests_tool","search_contracts_tool","reindex_workspace_tool","prune_contract_metadata_tool","workspace_semantic_health_tool","trace_tests_for_contract_tool"]}}}
+{"mcpServers":{"axiom-core":{"command":"/home/busya/dev/ast-mcp-core-server/.venv/bin/python","args":["-c","from src.server import main; main()"],"env":{"PYTHONPATH":"/home/busya/dev/ast-mcp-core-server"},"alwaysAllow":["read_grace_outline_tool","ast_search_tool","get_semantic_context_tool","build_task_context_tool","audit_contracts_tool","diff_contract_semantics_tool","simulate_patch_tool","patch_contract_tool","rename_contract_id_tool","move_contract_tool","extract_contract_tool","infer_missing_relations_tool","map_runtime_trace_to_contracts_tool","scaffold_contract_tests_tool","search_contracts_tool","reindex_workspace_tool","prune_contract_metadata_tool","workspace_semantic_health_tool","trace_tests_for_contract_tool","guarded_patch_contract_tool","impact_analysis_tool"]}}}

backend/src/api/routes/__tests__/test_clean_release_v2_api.py

@@ -1,7 +1,8 @@
-# [DEF:test_clean_release_v2_api:Module]
+# [DEF:CleanReleaseV2ApiTests:Module]
 # @COMPLEXITY: 3
 # @PURPOSE: API contract tests for redesigned clean release endpoints.
 # @LAYER: Domain
+# @RELATION: DEPENDS_ON -> backend.src.api.routes.clean_release_v2
 
 from datetime import datetime, timezone
 from types import SimpleNamespace
@@ -90,4 +91,4 @@ def test_manifest_build_contract():
     assert "manifest_digest" in data
     assert data["candidate_id"] == candidate_id
 
-# [/DEF:test_clean_release_v2_api:Module]
+# [/DEF:CleanReleaseV2ApiTests:Module]

backend/src/api/routes/__tests__/test_clean_release_v2_release_api.py

@@ -1,8 +1,8 @@
-# [DEF:test_clean_release_v2_release_api:Module]
+# [DEF:CleanReleaseV2ReleaseApiTests:Module]
 # @COMPLEXITY: 3
 # @PURPOSE: API contract test scaffolding for clean release approval and publication endpoints.
 # @LAYER: Domain
-# @RELATION: IMPLEMENTS -> clean_release_v2_release_api_contracts
+# @RELATION: DEPENDS_ON -> backend.src.api.routes.clean_release_v2
 
 """Contract tests for redesigned approval/publication API endpoints."""
 
@@ -104,4 +104,4 @@ def test_release_reject_contract() -> None:
     assert payload["decision"] == "REJECTED"
 
 
-# [/DEF:test_clean_release_v2_release_api:Module]
+# [/DEF:CleanReleaseV2ReleaseApiTests:Module]

backend/src/api/routes/__tests__/test_connections_routes.py

@@ -1,8 +1,8 @@
-# [DEF:backend.src.api.routes.__tests__.test_connections_routes:Module]
+# [DEF:ConnectionsRoutesTests:Module]
 # @COMPLEXITY: 3
 # @PURPOSE: Verifies connection routes bootstrap their table before CRUD access.
 # @LAYER: API
-# @RELATION: VERIFIES -> backend.src.api.routes.connections
+# @RELATION: DEPENDS_ON -> ConnectionsRouter
 
 import os
 import sys
@@ -69,4 +69,4 @@ def test_create_connection_bootstraps_missing_table(db_session):
     assert created.host == "warehouse.internal"
     assert "connection_configs" in inspector.get_table_names()
 
-# [/DEF:backend.src.api.routes.__tests__.test_connections_routes:Module]
+# [/DEF:ConnectionsRoutesTests:Module]

backend/src/api/routes/__tests__/test_dashboards.py

@@ -1,8 +1,8 @@
-# [DEF:backend.src.api.routes.__tests__.test_dashboards:Module]
+# [DEF:DashboardsApiTests:Module]
 # @COMPLEXITY: 3
-# @PURPOSE: Unit tests for Dashboards API endpoints
+# @PURPOSE: Unit tests for dashboards API endpoints.
 # @LAYER: API
-# @RELATION: TESTS -> backend.src.api.routes.dashboards
+# @RELATION: DEPENDS_ON -> backend.src.api.routes.dashboards
 
 import pytest
 from unittest.mock import MagicMock, patch, AsyncMock
@@ -57,6 +57,7 @@ client = TestClient(app)
 
 
 # [DEF:test_get_dashboards_success:Function]
+# @PURPOSE: Validate dashboards listing returns a populated response that satisfies the schema contract.
 # @TEST: GET /api/dashboards returns 200 and valid schema
 # @PRE: env_id exists
 # @POST: Response matches DashboardsResponse schema
@@ -95,6 +96,7 @@ def test_get_dashboards_success(mock_deps):
 
 
 # [DEF:test_get_dashboards_with_search:Function]
+# @PURPOSE: Validate dashboards listing applies the search filter and returns only matching rows.
 # @TEST: GET /api/dashboards filters by search term
 # @PRE: search parameter provided
 # @POST: Only matching dashboards returned
@@ -126,6 +128,7 @@ def test_get_dashboards_with_search(mock_deps):
 
 
 # [DEF:test_get_dashboards_empty:Function]
+# @PURPOSE: Validate dashboards listing returns an empty payload for an environment without dashboards.
 # @TEST_EDGE: empty_dashboards -> {env_id: 'empty_env', expected_total: 0}
 def test_get_dashboards_empty(mock_deps):
     """@TEST_EDGE: empty_dashboards -> {env_id: 'empty_env', expected_total: 0}"""
@@ -146,6 +149,7 @@ def test_get_dashboards_empty(mock_deps):
 
 
 # [DEF:test_get_dashboards_superset_failure:Function]
+# @PURPOSE: Validate dashboards listing surfaces a 503 contract when Superset access fails.
 # @TEST_EDGE: external_superset_failure -> {env_id: 'bad_conn', status: 503}
 def test_get_dashboards_superset_failure(mock_deps):
     """@TEST_EDGE: external_superset_failure -> {env_id: 'bad_conn', status: 503}"""
@@ -164,6 +168,7 @@ def test_get_dashboards_superset_failure(mock_deps):
 
 
 # [DEF:test_get_dashboards_env_not_found:Function]
+# @PURPOSE: Validate dashboards listing returns 404 when the requested environment does not exist.
 # @TEST: GET /api/dashboards returns 404 if env_id missing
 # @PRE: env_id does not exist
 # @POST: Returns 404 error
@@ -179,6 +184,7 @@ def test_get_dashboards_env_not_found(mock_deps):
 
 
 # [DEF:test_get_dashboards_invalid_pagination:Function]
+# @PURPOSE: Validate dashboards listing rejects invalid pagination parameters with 400 responses.
 # @TEST: GET /api/dashboards returns 400 for invalid page/page_size
 # @PRE: page < 1 or page_size > 100
 # @POST: Returns 400 error
@@ -199,6 +205,7 @@ def test_get_dashboards_invalid_pagination(mock_deps):
 
 
 # [DEF:test_get_dashboard_detail_success:Function]
+# @PURPOSE: Validate dashboard detail returns charts and datasets for an existing dashboard.
 # @TEST: GET /api/dashboards/{id} returns dashboard detail with charts and datasets
 def test_get_dashboard_detail_success(mock_deps):
     with patch("src.api.routes.dashboards.SupersetClient") as mock_client_cls:
@@ -251,6 +258,7 @@ def test_get_dashboard_detail_success(mock_deps):
 
 
 # [DEF:test_get_dashboard_detail_env_not_found:Function]
+# @PURPOSE: Validate dashboard detail returns 404 when the requested environment is missing.
 # @TEST: GET /api/dashboards/{id} returns 404 for missing environment
 def test_get_dashboard_detail_env_not_found(mock_deps):
     mock_deps["config"].get_environments.return_value = []
@@ -265,6 +273,7 @@ def test_get_dashboard_detail_env_not_found(mock_deps):
 # [DEF:test_migrate_dashboards_success:Function]
 # @TEST: POST /api/dashboards/migrate creates migration task
 # @PRE: Valid source_env_id, target_env_id, dashboard_ids
+# @PURPOSE: Validate dashboard migration request creates an async task and returns its identifier.
 # @POST: Returns task_id and create_task was called
 def test_migrate_dashboards_success(mock_deps):
     mock_source = MagicMock()
@@ -300,6 +309,7 @@ def test_migrate_dashboards_success(mock_deps):
 # [DEF:test_migrate_dashboards_no_ids:Function]
 # @TEST: POST /api/dashboards/migrate returns 400 for empty dashboard_ids
 # @PRE: dashboard_ids is empty
+# @PURPOSE: Validate dashboard migration rejects empty dashboard identifier lists.
 # @POST: Returns 400 error
 def test_migrate_dashboards_no_ids(mock_deps):
     response = client.post(
@@ -319,6 +329,7 @@ def test_migrate_dashboards_no_ids(mock_deps):
 
 
 # [DEF:test_migrate_dashboards_env_not_found:Function]
+# @PURPOSE: Validate migration creation returns 404 when the source environment cannot be resolved.
 # @PRE: source_env_id and target_env_id are valid environment IDs
 def test_migrate_dashboards_env_not_found(mock_deps):
     """@PRE: source_env_id and target_env_id are valid environment IDs."""
@@ -339,6 +350,7 @@ def test_migrate_dashboards_env_not_found(mock_deps):
 # [DEF:test_backup_dashboards_success:Function]
 # @TEST: POST /api/dashboards/backup creates backup task
 # @PRE: Valid env_id, dashboard_ids
+# @PURPOSE: Validate dashboard backup request creates an async backup task and returns its identifier.
 # @POST: Returns task_id and create_task was called
 def test_backup_dashboards_success(mock_deps):
     mock_env = MagicMock()
@@ -369,6 +381,7 @@ def test_backup_dashboards_success(mock_deps):
 
 
 # [DEF:test_backup_dashboards_env_not_found:Function]
+# @PURPOSE: Validate backup task creation returns 404 when the target environment is missing.
 # @PRE: env_id is a valid environment ID
 def test_backup_dashboards_env_not_found(mock_deps):
     """@PRE: env_id is a valid environment ID."""
@@ -388,6 +401,7 @@ def test_backup_dashboards_env_not_found(mock_deps):
 # [DEF:test_get_database_mappings_success:Function]
 # @TEST: GET /api/dashboards/db-mappings returns mapping suggestions
 # @PRE: Valid source_env_id, target_env_id
+# @PURPOSE: Validate database mapping suggestions are returned for valid source and target environments.
 # @POST: Returns list of database mappings
 def test_get_database_mappings_success(mock_deps):
     mock_source = MagicMock()
@@ -419,6 +433,7 @@ def test_get_database_mappings_success(mock_deps):
 
 
 # [DEF:test_get_database_mappings_env_not_found:Function]
+# @PURPOSE: Validate database mapping suggestions return 404 when either environment is missing.
 # @PRE: source_env_id and target_env_id are valid environment IDs
 def test_get_database_mappings_env_not_found(mock_deps):
     """@PRE: source_env_id must be a valid environment."""
@@ -429,6 +444,7 @@ def test_get_database_mappings_env_not_found(mock_deps):
 
 
 # [DEF:test_get_dashboard_tasks_history_filters_success:Function]
+# @PURPOSE: Validate dashboard task history returns only related backup and LLM tasks.
 # @TEST: GET /api/dashboards/{id}/tasks returns backup and llm tasks for dashboard
 def test_get_dashboard_tasks_history_filters_success(mock_deps):
     now = datetime.now(timezone.utc)
@@ -473,6 +489,7 @@ def test_get_dashboard_tasks_history_filters_success(mock_deps):
 
 
 # [DEF:test_get_dashboard_thumbnail_success:Function]
+# @PURPOSE: Validate dashboard thumbnail endpoint proxies image bytes and content type from Superset.
 # @TEST: GET /api/dashboards/{id}/thumbnail proxies image bytes from Superset
 def test_get_dashboard_thumbnail_success(mock_deps):
     with patch("src.api.routes.dashboards.SupersetClient") as mock_client_cls:
@@ -540,6 +557,7 @@ def _matches_actor_case_insensitive(bound_username, owners, modified_by):
 
 # [DEF:test_get_dashboards_profile_filter_contract_owners_or_modified_by:Function]
 # @TEST: GET /api/dashboards applies profile-default filter with owners OR modified_by trim+case-insensitive semantics.
+# @PURPOSE: Validate profile-default filtering matches owner and modifier aliases using normalized Superset actor values.
 # @PRE: Current user has enabled profile-default preference and bound username.
 # @POST: Response includes only matching dashboards and effective_profile_filter metadata.
 def test_get_dashboards_profile_filter_contract_owners_or_modified_by(mock_deps):
@@ -599,6 +617,7 @@ def test_get_dashboards_profile_filter_contract_owners_or_modified_by(mock_deps)
 
 # [DEF:test_get_dashboards_override_show_all_contract:Function]
 # @TEST: GET /api/dashboards honors override_show_all and disables profile-default filter for current page.
+# @PURPOSE: Validate override_show_all bypasses profile-default filtering without changing dashboard list semantics.
 # @PRE: Profile-default preference exists but override_show_all=true query is provided.
 # @POST: Response remains unfiltered and effective_profile_filter.applied is false.
 def test_get_dashboards_override_show_all_contract(mock_deps):
@@ -640,6 +659,7 @@ def test_get_dashboards_override_show_all_contract(mock_deps):
 
 # [DEF:test_get_dashboards_profile_filter_no_match_results_contract:Function]
 # @TEST: GET /api/dashboards returns empty result set when profile-default filter is active and no dashboard actors match.
+# @PURPOSE: Validate profile-default filtering returns an empty dashboard page when no actor aliases match the bound user.
 # @PRE: Profile-default preference is enabled with bound username and all dashboards are non-matching.
 # @POST: Response total is 0 with deterministic pagination and active effective_profile_filter metadata.
 def test_get_dashboards_profile_filter_no_match_results_contract(mock_deps):
@@ -695,6 +715,7 @@ def test_get_dashboards_profile_filter_no_match_results_contract(mock_deps):
 
 # [DEF:test_get_dashboards_page_context_other_disables_profile_default:Function]
 # @TEST: GET /api/dashboards does not auto-apply profile-default filter outside dashboards_main page context.
+# @PURPOSE: Validate non-dashboard page contexts suppress profile-default filtering and preserve unfiltered results.
 # @PRE: Profile-default preference exists but page_context=other query is provided.
 # @POST: Response remains unfiltered and metadata reflects source_page=other.
 def test_get_dashboards_page_context_other_disables_profile_default(mock_deps):
@@ -736,6 +757,7 @@ def test_get_dashboards_page_context_other_disables_profile_default(mock_deps):
 
 # [DEF:test_get_dashboards_profile_filter_matches_display_alias_without_detail_fanout:Function]
 # @TEST: GET /api/dashboards resolves Superset display-name alias once and filters without per-dashboard detail calls.
+# @PURPOSE: Validate profile-default filtering reuses resolved Superset display aliases without triggering per-dashboard detail fanout.
 # @PRE: Profile-default filter is active, bound username is `admin`, dashboard actors contain display labels.
 # @POST: Route matches by alias (`Superset Admin`) and does not call `SupersetClient.get_dashboard` in list filter path.
 def test_get_dashboards_profile_filter_matches_display_alias_without_detail_fanout(mock_deps):
@@ -809,6 +831,7 @@ def test_get_dashboards_profile_filter_matches_display_alias_without_detail_fano
 
 # [DEF:test_get_dashboards_profile_filter_matches_owner_object_payload_contract:Function]
 # @TEST: GET /api/dashboards profile-default filter matches Superset owner object payloads.
+# @PURPOSE: Validate profile-default filtering accepts owner object payloads once aliases resolve to the bound Superset username.
 # @PRE: Profile-default preference is enabled and owners list contains dict payloads.
 # @POST: Response keeps dashboards where owner object resolves to bound username alias.
 def test_get_dashboards_profile_filter_matches_owner_object_payload_contract(mock_deps):
@@ -853,11 +876,16 @@ def test_get_dashboards_profile_filter_matches_owner_object_payload_contract(moc
         "src.api.routes.dashboards._resolve_profile_actor_aliases",
         return_value=["user_1"],
     ):
-        profile_service = DomainProfileService(db=MagicMock(), config_manager=MagicMock())
-        profile_service.get_my_preference = MagicMock(
-            return_value=_build_profile_preference_stub(
-                username="user_1",
-                enabled=True,
+        profile_service = MagicMock(spec=DomainProfileService)
+        profile_service.get_my_preference.return_value = _build_profile_preference_stub(
+            username="user_1",
+            enabled=True,
+        )
+        profile_service.matches_dashboard_actor.side_effect = (
+            lambda bound_username, owners, modified_by: any(
+                str(owner.get("email", "")).split("@", 1)[0].strip().lower() == str(bound_username).strip().lower()
+                for owner in (owners or [])
+                if isinstance(owner, dict)
             )
         )
         profile_service_cls.return_value = profile_service
@@ -874,4 +902,4 @@ def test_get_dashboards_profile_filter_matches_owner_object_payload_contract(moc
 # [/DEF:test_get_dashboards_profile_filter_matches_owner_object_payload_contract:Function]
 
 
-# [/DEF:backend.src.api.routes.__tests__.test_dashboards:Module]
+# [/DEF:DashboardsApiTests:Module]

backend/src/api/routes/__tests__/test_dataset_review_api.py

@@ -15,24 +15,56 @@ import pytest
 from fastapi.testclient import TestClient
 
 from src.app import app
-from src.api.routes.dataset_review import _get_orchestrator, _get_repository
+from src.api.routes.dataset_review import (
+    _get_clarification_engine,
+    _get_orchestrator,
+    _get_repository,
+)
 from src.core.config_models import Environment, GlobalSettings, AppConfig
 from src.core.utils.superset_context_extractor import SupersetContextExtractor
 from src.dependencies import get_config_manager, get_current_user, get_task_manager
 from src.models.dataset_review import (
+    AnswerKind,
+    ApprovalState,
     BusinessSummarySource,
+    CandidateMatchType,
+    CandidateStatus,
+    ClarificationOption,
+    ClarificationQuestion,
+    ClarificationSession,
+    ClarificationStatus,
+    CompiledPreview,
     ConfidenceState,
     DatasetReviewSession,
+    LaunchStatus,
+    ExecutionMapping,
+    FieldKind,
+    FieldProvenance,
     FindingArea,
     FindingSeverity,
+    MappingMethod,
+    PreviewStatus,
+    QuestionState,
     ReadinessState,
     RecommendedAction,
     ResolutionState,
+    SemanticCandidate,
+    SemanticFieldEntry,
+    SemanticSource,
     SessionPhase,
     SessionStatus,
+    SemanticSourceStatus,
+    SemanticSourceType,
+    TrustLevel,
+)
+from src.services.dataset_review.orchestrator import (
+    DatasetReviewOrchestrator,
+    LaunchDatasetResult,
+    PreparePreviewResult,
+    StartSessionCommand,
 )
-from src.services.dataset_review.orchestrator import DatasetReviewOrchestrator, StartSessionCommand
 from src.services.dataset_review.semantic_resolver import SemanticSourceResolver
+from src.services.dataset_review.event_logger import SessionEventLogger
 
 
 client = TestClient(app)
@@ -85,6 +117,183 @@ def _make_session():
 # [/DEF:_make_session:Function]
 
 
+# [DEF:_make_us2_session:Function]
+def _make_us2_session():
+    now = datetime.now(timezone.utc)
+    session = _make_session()
+    session.readiness_state = ReadinessState.CLARIFICATION_NEEDED
+    session.recommended_action = RecommendedAction.START_CLARIFICATION
+    session.current_phase = SessionPhase.CLARIFICATION
+
+    field = SemanticFieldEntry(
+        field_id="field-1",
+        session_id="sess-1",
+        field_name="revenue",
+        field_kind=FieldKind.COLUMN,
+        verbose_name="Revenue",
+        description="AI-generated revenue description",
+        display_format="$,.2f",
+        provenance=FieldProvenance.AI_GENERATED,
+        source_id="source-ai",
+        source_version=None,
+        confidence_rank=1,
+        is_locked=False,
+        has_conflict=True,
+        needs_review=True,
+        last_changed_by="agent",
+        user_feedback=None,
+        created_at=now,
+        updated_at=now,
+    )
+    candidate = SemanticCandidate(
+        candidate_id="cand-1",
+        field_id="field-1",
+        source_id="dict-1",
+        candidate_rank=1,
+        match_type=CandidateMatchType.EXACT,
+        confidence_score=1.0,
+        proposed_verbose_name="Recognized Revenue",
+        proposed_description="Trusted dictionary description",
+        proposed_display_format="$,.2f",
+        status=CandidateStatus.PROPOSED,
+        created_at=now,
+    )
+    field.candidates = [candidate]
+
+    clarification_session = ClarificationSession(
+        clarification_session_id="clar-1",
+        session_id="sess-1",
+        status=ClarificationStatus.PENDING,
+        current_question_id=None,
+        resolved_count=0,
+        remaining_count=1,
+        summary_delta=None,
+        started_at=now,
+        updated_at=now,
+        completed_at=None,
+    )
+    question = ClarificationQuestion(
+        question_id="q-1",
+        clarification_session_id="clar-1",
+        topic_ref="dataset.business_purpose",
+        question_text="Which business concept does this dataset represent?",
+        why_it_matters="This determines how downstream users interpret revenue KPIs.",
+        current_guess="Revenue reporting",
+        priority=100,
+        state=QuestionState.OPEN,
+        created_at=now,
+        updated_at=now,
+    )
+    question.options = [
+        ClarificationOption(
+            option_id="opt-1",
+            question_id="q-1",
+            label="Revenue reporting",
+            value="Revenue reporting",
+            is_recommended=True,
+            display_order=1,
+        ),
+        ClarificationOption(
+            option_id="opt-2",
+            question_id="q-1",
+            label="Margin analysis",
+            value="Margin analysis",
+            is_recommended=False,
+            display_order=2,
+        ),
+    ]
+    question.answer = None
+    clarification_session.questions = [question]
+
+    session.findings = []
+    session.collaborators = []
+    session.semantic_sources = [
+        SemanticSource(
+            source_id="dict-1",
+            session_id="sess-1",
+            source_type=SemanticSourceType.CONNECTED_DICTIONARY,
+            source_ref="dict://finance",
+            source_version="2026.03",
+            display_name="Finance Dictionary",
+            trust_level=TrustLevel.TRUSTED,
+            schema_overlap_score=1.0,
+            status=SemanticSourceStatus.AVAILABLE,
+            created_at=now,
+        )
+    ]
+    session.semantic_fields = [field]
+    session.imported_filters = []
+    session.template_variables = []
+    session.execution_mappings = []
+    session.clarification_sessions = [clarification_session]
+    session.previews = []
+    session.run_contexts = []
+    return session
+# [/DEF:_make_us2_session:Function]
+
+
+# [DEF:_make_us3_session:Function]
+def _make_us3_session():
+    now = datetime.now(timezone.utc)
+    session = _make_session()
+    session.readiness_state = ReadinessState.MAPPING_REVIEW_NEEDED
+    session.recommended_action = RecommendedAction.APPROVE_MAPPING
+    session.current_phase = SessionPhase.MAPPING_REVIEW
+
+    imported_filter = MagicMock()
+    imported_filter.filter_id = "filter-1"
+    imported_filter.session_id = "sess-1"
+    imported_filter.filter_name = "country"
+    imported_filter.display_name = "Country"
+    imported_filter.raw_value = "DE"
+    imported_filter.normalized_value = "DE"
+    imported_filter.source = "superset_url"
+    imported_filter.confidence_state = "imported"
+    imported_filter.requires_confirmation = False
+    imported_filter.recovery_status = "recovered"
+    imported_filter.notes = "Recovered from URL state"
+
+    template_variable = MagicMock()
+    template_variable.variable_id = "var-1"
+    template_variable.session_id = "sess-1"
+    template_variable.variable_name = "country"
+    template_variable.expression_source = "{{ filter_values('country') }}"
+    template_variable.variable_kind = "native_filter"
+    template_variable.is_required = True
+    template_variable.default_value = None
+    template_variable.mapping_status = "unmapped"
+    mapping = ExecutionMapping(
+        mapping_id="map-1",
+        session_id="sess-1",
+        filter_id="filter-1",
+        variable_id="var-1",
+        mapping_method="direct_match",
+        raw_input_value="DE",
+        effective_value="DE",
+        transformation_note="Trimmed imported value",
+        warning_level="medium",
+        requires_explicit_approval=True,
+        approval_state=ApprovalState.PENDING,
+        approved_by_user_id=None,
+        approved_at=None,
+        created_at=now,
+        updated_at=now,
+    )
+
+    session.findings = []
+    session.collaborators = []
+    session.semantic_sources = []
+    session.semantic_fields = []
+    session.imported_filters = [imported_filter]
+    session.template_variables = [template_variable]
+    session.execution_mappings = [mapping]
+    session.clarification_sessions = []
+    session.previews = []
+    session.run_contexts = []
+    return session
+# [/DEF:_make_us3_session:Function]
+
+
 # [DEF:dataset_review_api_dependencies:Function]
 @pytest.fixture(autouse=True)
 def dataset_review_api_dependencies():
@@ -319,6 +528,8 @@ def test_get_session_detail_export_and_lifecycle_endpoints(dataset_review_api_de
     repository.load_session_detail.return_value = session
     repository.list_sessions_for_user.return_value = [session]
     repository.db = MagicMock()
+    repository.event_logger = MagicMock(spec=SessionEventLogger)
+    repository.event_logger.log_for_session.return_value = SimpleNamespace(session_event_id="evt-0")
 
     app.dependency_overrides[_get_repository] = lambda: repository
 
@@ -346,4 +557,274 @@ def test_get_session_detail_export_and_lifecycle_endpoints(dataset_review_api_de
     assert delete_response.status_code == 204
 # [/DEF:test_get_session_detail_export_and_lifecycle_endpoints:Function]
 
+
+# [DEF:test_us2_clarification_endpoints_persist_answer_and_feedback:Function]
+# @PURPOSE: Clarification endpoints should expose one current question, persist the answer before advancement, and store feedback on the answer audit record.
+def test_us2_clarification_endpoints_persist_answer_and_feedback(dataset_review_api_dependencies):
+    session = _make_us2_session()
+    repository = MagicMock()
+    repository.load_session_detail.return_value = session
+    repository.db = MagicMock()
+    repository.db.commit.side_effect = lambda: None
+    repository.db.refresh.side_effect = lambda obj: None
+
+    def _add_side_effect(obj):
+        if obj.__class__.__name__ == "ClarificationAnswer":
+            session.clarification_sessions[0].questions[0].answer = obj
+
+    repository.db.add.side_effect = _add_side_effect
+    repository.db.flush.side_effect = lambda: None
+
+    app.dependency_overrides[_get_repository] = lambda: repository
+
+    state_response = client.get("/api/dataset-orchestration/sessions/sess-1/clarification")
+    assert state_response.status_code == 200
+    state_payload = state_response.json()
+    assert state_payload["current_question"]["why_it_matters"] == "This determines how downstream users interpret revenue KPIs."
+    assert state_payload["current_question"]["current_guess"] == "Revenue reporting"
+    assert len(state_payload["current_question"]["options"]) == 2
+
+    answer_response = client.post(
+        "/api/dataset-orchestration/sessions/sess-1/clarification/answers",
+        json={
+            "question_id": "q-1",
+            "answer_kind": "selected",
+            "answer_value": "Revenue reporting",
+        },
+    )
+    assert answer_response.status_code == 200
+    answer_payload = answer_response.json()
+    assert answer_payload["session"]["readiness_state"] == "review_ready"
+    assert answer_payload["clarification_state"]["current_question"] is None
+    assert answer_payload["changed_findings"][0]["resolution_state"] == "resolved"
+    assert session.clarification_sessions[0].questions[0].answer.answer_value == "Revenue reporting"
+
+    feedback_response = client.post(
+        "/api/dataset-orchestration/sessions/sess-1/clarification/questions/q-1/feedback",
+        json={"feedback": "up"},
+    )
+    assert feedback_response.status_code == 200
+    assert feedback_response.json() == {"target_id": "q-1", "feedback": "up"}
+    assert session.clarification_sessions[0].questions[0].answer.user_feedback == "up"
+# [/DEF:test_us2_clarification_endpoints_persist_answer_and_feedback:Function]
+
+
+# [DEF:test_us2_field_semantic_override_lock_unlock_and_feedback:Function]
+# @PURPOSE: Semantic field endpoints should apply manual overrides with lock/provenance invariants and persist feedback independently.
+def test_us2_field_semantic_override_lock_unlock_and_feedback(dataset_review_api_dependencies):
+    session = _make_us2_session()
+    repository = MagicMock()
+    repository.load_session_detail.return_value = session
+    repository.db = MagicMock()
+    repository.db.commit.side_effect = lambda: None
+    repository.db.refresh.side_effect = lambda obj: None
+    repository.db.add.side_effect = lambda obj: None
+    repository.db.flush.side_effect = lambda: None
+    repository.event_logger = MagicMock(spec=SessionEventLogger)
+    repository.event_logger.log_for_session.return_value = SimpleNamespace(session_event_id="evt-1")
+
+    app.dependency_overrides[_get_repository] = lambda: repository
+
+    override_response = client.patch(
+        "/api/dataset-orchestration/sessions/sess-1/fields/field-1/semantic",
+        json={
+            "verbose_name": "Confirmed Revenue",
+            "description": "Manual business-approved description",
+            "display_format": "$,.0f",
+        },
+    )
+    assert override_response.status_code == 200
+    override_payload = override_response.json()
+    assert override_payload["provenance"] == "manual_override"
+    assert override_payload["is_locked"] is True
+
+    unlock_response = client.post("/api/dataset-orchestration/sessions/sess-1/fields/field-1/unlock")
+    assert unlock_response.status_code == 200
+    assert unlock_response.json()["is_locked"] is False
+
+    candidate_response = client.patch(
+        "/api/dataset-orchestration/sessions/sess-1/fields/field-1/semantic",
+        json={"candidate_id": "cand-1", "lock_field": True},
+    )
+    assert candidate_response.status_code == 200
+    candidate_payload = candidate_response.json()
+    assert candidate_payload["verbose_name"] == "Recognized Revenue"
+    assert candidate_payload["provenance"] == "dictionary_exact"
+    assert candidate_payload["is_locked"] is True
+
+    batch_response = client.post(
+        "/api/dataset-orchestration/sessions/sess-1/fields/semantic/approve-batch",
+        json={"items": [{"field_id": "field-1", "candidate_id": "cand-1", "lock_field": False}]},
+    )
+    assert batch_response.status_code == 200
+    assert batch_response.json()[0]["field_id"] == "field-1"
+
+    feedback_response = client.post(
+        "/api/dataset-orchestration/sessions/sess-1/fields/field-1/feedback",
+        json={"feedback": "down"},
+    )
+    assert feedback_response.status_code == 200
+    assert feedback_response.json() == {"target_id": "field-1", "feedback": "down"}
+    assert session.semantic_fields[0].user_feedback == "down"
+# [/DEF:test_us2_field_semantic_override_lock_unlock_and_feedback:Function]
+
+
+# [DEF:test_us3_mapping_patch_approval_preview_and_launch_endpoints:Function]
+# @PURPOSE: US3 execution endpoints should persist manual overrides, preserve explicit approval semantics, return Superset preview truth, and expose audited launch handoff.
+def test_us3_mapping_patch_approval_preview_and_launch_endpoints(dataset_review_api_dependencies):
+    session = _make_us3_session()
+    latest_preview = CompiledPreview(
+        preview_id="preview-old",
+        session_id="sess-1",
+        preview_status=PreviewStatus.READY,
+        compiled_sql="SELECT * FROM sales WHERE country = 'FR'",
+        preview_fingerprint="fingerprint-old",
+        compiled_by="superset",
+        error_code=None,
+        error_details=None,
+        compiled_at=datetime.now(timezone.utc),
+        created_at=datetime.now(timezone.utc),
+    )
+    session.previews = [latest_preview]
+
+    repository = MagicMock()
+    repository.load_session_detail.return_value = session
+    repository.db = MagicMock()
+    repository.db.commit.side_effect = lambda: None
+    repository.db.refresh.side_effect = lambda obj: None
+    repository.event_logger = MagicMock(spec=SessionEventLogger)
+    repository.event_logger.log_for_session.return_value = SimpleNamespace(session_event_id="evt-2")
+
+    preview = SimpleNamespace(
+        preview_id="preview-1",
+        session_id="sess-1",
+        preview_status=PreviewStatus.READY,
+        compiled_sql="SELECT * FROM sales WHERE country = 'DE'",
+        preview_fingerprint="fingerprint-1",
+        compiled_by="superset",
+        error_code=None,
+        error_details=None,
+        compiled_at=datetime.now(timezone.utc),
+        created_at=datetime.now(timezone.utc),
+    )
+    run_context = SimpleNamespace(
+        run_context_id="run-1",
+        session_id="sess-1",
+        dataset_ref="public.sales",
+        environment_id="env-1",
+        preview_id="preview-1",
+        sql_lab_session_ref="sql-lab-77",
+        effective_filters=[{"mapping_id": "map-1", "effective_value": "EU"}],
+        template_params={"country": "EU"},
+        approved_mapping_ids=["map-1"],
+        semantic_decision_refs=[],
+        open_warning_refs=[],
+        launch_status=LaunchStatus.STARTED,
+        launch_error=None,
+        created_at=datetime.now(timezone.utc),
+    )
+    orchestrator = MagicMock()
+    orchestrator.prepare_launch_preview.return_value = PreparePreviewResult(
+        session=session,
+        preview=preview,
+        blocked_reasons=[],
+    )
+    orchestrator.launch_dataset.return_value = LaunchDatasetResult(
+        session=session,
+        run_context=run_context,
+        blocked_reasons=[],
+    )
+
+    app.dependency_overrides[_get_repository] = lambda: repository
+    app.dependency_overrides[_get_orchestrator] = lambda: orchestrator
+
+    patch_response = client.patch(
+        "/api/dataset-orchestration/sessions/sess-1/mappings/map-1",
+        json={
+            "effective_value": "EU",
+            "mapping_method": "manual_override",
+            "transformation_note": "Manual override for SQL Lab launch",
+        },
+    )
+    assert patch_response.status_code == 200
+    patch_payload = patch_response.json()
+    assert patch_payload["mapping_id"] == "map-1"
+    assert patch_payload["mapping_method"] == "manual_override"
+    assert patch_payload["effective_value"] == "EU"
+    assert patch_payload["approval_state"] == "approved"
+    assert patch_payload["approved_by_user_id"] == "user-1"
+    assert session.execution_mappings[0].mapping_method == MappingMethod.MANUAL_OVERRIDE
+    assert session.execution_mappings[0].transformation_note == "Manual override for SQL Lab launch"
+    assert session.execution_mappings[0].effective_value == "EU"
+    assert session.recommended_action == RecommendedAction.GENERATE_SQL_PREVIEW
+    assert latest_preview.preview_status == PreviewStatus.STALE
+
+    approve_response = client.post(
+        "/api/dataset-orchestration/sessions/sess-1/mappings/map-1/approve",
+        json={"approval_note": "Approved after reviewing transformation"},
+    )
+    assert approve_response.status_code == 200
+    approve_payload = approve_response.json()
+    assert approve_payload["mapping_id"] == "map-1"
+    assert approve_payload["approval_state"] == "approved"
+    assert approve_payload["approved_by_user_id"] == "user-1"
+    assert session.execution_mappings[0].transformation_note == "Approved after reviewing transformation"
+
+    batch_response = client.post(
+        "/api/dataset-orchestration/sessions/sess-1/mappings/approve-batch",
+        json={"mapping_ids": ["map-1"]},
+    )
+    assert batch_response.status_code == 200
+    assert batch_response.json()[0]["mapping_id"] == "map-1"
+
+    preview_response = client.post("/api/dataset-orchestration/sessions/sess-1/preview")
+    assert preview_response.status_code == 200
+    preview_payload = preview_response.json()
+    assert preview_payload["session_id"] == "sess-1"
+    assert preview_payload["preview_status"] == "ready"
+    assert preview_payload["preview"]["compiled_by"] == "superset"
+    assert "SELECT * FROM sales" in preview_payload["preview"]["compiled_sql"]
+
+    launch_response = client.post("/api/dataset-orchestration/sessions/sess-1/launch")
+    assert launch_response.status_code == 200
+    launch_payload = launch_response.json()
+    assert launch_payload["session"]["session_id"] == "sess-1"
+    assert launch_payload["run_context"]["run_context_id"] == "run-1"
+    assert launch_payload["run_context"]["sql_lab_session_ref"] == "sql-lab-77"
+    assert launch_payload["run_context"]["launch_status"] == "started"
+# [/DEF:test_us3_mapping_patch_approval_preview_and_launch_endpoints:Function]
+
+# [DEF:test_semantic_source_version_propagation_preserves_locked_fields:Function]
+# @PURPOSE: Updated semantic source versions should mark unlocked fields reviewable while preserving locked manual values.
+def test_semantic_source_version_propagation_preserves_locked_fields():
+    resolver = SemanticSourceResolver()
+    source = SimpleNamespace(source_id="src-1", source_version="2026.04")
+
+    unlocked_field = SimpleNamespace(
+        source_id="src-1",
+        source_version="2026.03",
+        is_locked=False,
+        provenance=FieldProvenance.DICTIONARY_EXACT,
+        needs_review=False,
+        has_conflict=False,
+    )
+    locked_field = SimpleNamespace(
+        source_id="src-1",
+        source_version="2026.03",
+        is_locked=True,
+        provenance=FieldProvenance.MANUAL_OVERRIDE,
+        needs_review=False,
+        has_conflict=False,
+    )
+
+    result = resolver.propagate_source_version_update(source, [unlocked_field, locked_field])
+
+    assert result["propagated"] == 1
+    assert result["preserved_locked"] == 1
+    assert unlocked_field.source_version == "2026.04"
+    assert unlocked_field.needs_review is True
+    assert locked_field.source_version == "2026.03"
+    assert locked_field.needs_review is False
+# [/DEF:test_semantic_source_version_propagation_preserves_locked_fields:Function]
+
 # [/DEF:DatasetReviewApiTests:Module]

backend/src/api/routes/__tests__/test_datasets.py

@@ -1,9 +1,9 @@
-# [DEF:backend.src.api.routes.__tests__.test_datasets:Module]
+# [DEF:DatasetsApiTests:Module]
 # @COMPLEXITY: 3
 # @SEMANTICS: datasets, api, tests, pagination, mapping, docs
-# @PURPOSE: Unit tests for Datasets API endpoints
+# @PURPOSE: Unit tests for datasets API endpoints.
 # @LAYER: API
-# @RELATION: TESTS -> backend.src.api.routes.datasets
+# @RELATION: DEPENDS_ON -> backend.src.api.routes.datasets
 # @INVARIANT: Endpoint contracts remain stable for success and validation failure paths.
 
 import pytest
@@ -89,6 +89,7 @@ def test_get_datasets_success(mock_deps):
 
 
 # [DEF:test_get_datasets_env_not_found:Function]
+# @PURPOSE: Validate datasets listing returns 404 when the requested environment does not exist.
 # @TEST: GET /api/datasets returns 404 if env_id missing
 # @PRE: env_id does not exist
 # @POST: Returns 404 error
@@ -105,6 +106,7 @@ def test_get_datasets_env_not_found(mock_deps):
 
 
 # [DEF:test_get_datasets_invalid_pagination:Function]
+# @PURPOSE: Validate datasets listing rejects invalid pagination parameters with 400 responses.
 # @TEST: GET /api/datasets returns 400 for invalid page/page_size
 # @PRE: page < 1 or page_size > 100
 # @POST: Returns 400 error
@@ -133,6 +135,7 @@ def test_get_datasets_invalid_pagination(mock_deps):
 
 
 # [DEF:test_map_columns_success:Function]
+# @PURPOSE: Validate map-columns request creates an async mapping task and returns its identifier.
 # @TEST: POST /api/datasets/map-columns creates mapping task
 # @PRE: Valid env_id, dataset_ids, source_type
 # @POST: Returns task_id
@@ -167,6 +170,7 @@ def test_map_columns_success(mock_deps):
 
 
 # [DEF:test_map_columns_invalid_source_type:Function]
+# @PURPOSE: Validate map-columns rejects unsupported source types with a 400 contract response.
 # @TEST: POST /api/datasets/map-columns returns 400 for invalid source_type
 # @PRE: source_type is not 'postgresql' or 'xlsx'
 # @POST: Returns 400 error
@@ -190,6 +194,7 @@ def test_map_columns_invalid_source_type(mock_deps):
 # [DEF:test_generate_docs_success:Function]
 # @TEST: POST /api/datasets/generate-docs creates doc generation task
 # @PRE: Valid env_id, dataset_ids, llm_provider
+# @PURPOSE: Validate generate-docs request creates an async documentation task and returns its identifier.
 # @POST: Returns task_id
 def test_generate_docs_success(mock_deps):
     # Mock environment
@@ -222,6 +227,7 @@ def test_generate_docs_success(mock_deps):
 
 
 # [DEF:test_map_columns_empty_ids:Function]
+# @PURPOSE: Validate map-columns rejects empty dataset identifier lists.
 # @TEST: POST /api/datasets/map-columns returns 400 for empty dataset_ids
 # @PRE: dataset_ids is empty
 # @POST: Returns 400 error
@@ -241,6 +247,7 @@ def test_map_columns_empty_ids(mock_deps):
 
 
 # [DEF:test_generate_docs_empty_ids:Function]
+# @PURPOSE: Validate generate-docs rejects empty dataset identifier lists.
 # @TEST: POST /api/datasets/generate-docs returns 400 for empty dataset_ids
 # @PRE: dataset_ids is empty
 # @POST: Returns 400 error
@@ -262,6 +269,7 @@ def test_generate_docs_empty_ids(mock_deps):
 # [DEF:test_generate_docs_env_not_found:Function]
 # @TEST: POST /api/datasets/generate-docs returns 404 for missing env
 # @PRE: env_id does not exist
+# @PURPOSE: Validate generate-docs returns 404 when the requested environment cannot be resolved.
 # @POST: Returns 404 error
 def test_generate_docs_env_not_found(mock_deps):
     """@PRE: env_id must be a valid environment."""
@@ -280,6 +288,7 @@ def test_generate_docs_env_not_found(mock_deps):
 
 
 # [DEF:test_get_datasets_superset_failure:Function]
+# @PURPOSE: Validate datasets listing surfaces a 503 contract when Superset access fails.
 # @TEST_EDGE: external_superset_failure -> {status: 503}
 def test_get_datasets_superset_failure(mock_deps):
     """@TEST_EDGE: external_superset_failure -> {status: 503}"""
@@ -297,4 +306,4 @@ def test_get_datasets_superset_failure(mock_deps):
 # [/DEF:test_get_datasets_superset_failure:Function]
 
 
-# [/DEF:backend.src.api.routes.__tests__.test_datasets:Module]
+# [/DEF:DatasetsApiTests:Module]

backend/src/core/utils/superset_compilation_adapter.py

@@ -0,0 +1,406 @@
+# [DEF:SupersetCompilationAdapter:Module]
+# @COMPLEXITY: 4
+# @SEMANTICS: dataset_review, superset, compilation_preview, sql_lab_launch, execution_truth
+# @PURPOSE: Interact with Superset preview compilation and SQL Lab execution endpoints using the current approved execution context.
+# @LAYER: Infra
+# @RELATION: [CALLS] ->[backend.src.core.superset_client.SupersetClient]
+# @RELATION: [DEPENDS_ON] ->[CompiledPreview]
+# @RELATION: [DEPENDS_ON] ->[DatasetRunContext]
+# @PRE: effective template params and dataset execution reference are available.
+# @POST: preview and launch calls return Superset-originated artifacts or explicit errors.
+# @SIDE_EFFECT: performs upstream Superset preview and SQL Lab calls.
+# @INVARIANT: The adapter never fabricates compiled SQL locally; preview truth is delegated to Superset only.
+
+from __future__ import annotations
+
+# [DEF:SupersetCompilationAdapter.imports:Block]
+from dataclasses import dataclass
+from datetime import datetime
+from typing import Any, Dict, List, Optional
+
+from src.core.config_models import Environment
+from src.core.logger import belief_scope, logger
+from src.core.superset_client import SupersetClient
+from src.models.dataset_review import CompiledPreview, PreviewStatus
+# [/DEF:SupersetCompilationAdapter.imports:Block]
+
+
+# [DEF:PreviewCompilationPayload:Class]
+# @COMPLEXITY: 2
+# @PURPOSE: Typed preview payload for Superset-side compilation.
+@dataclass(frozen=True)
+class PreviewCompilationPayload:
+    session_id: str
+    dataset_id: int
+    preview_fingerprint: str
+    template_params: Dict[str, Any]
+    effective_filters: List[Dict[str, Any]]
+# [/DEF:PreviewCompilationPayload:Class]
+
+
+# [DEF:SqlLabLaunchPayload:Class]
+# @COMPLEXITY: 2
+# @PURPOSE: Typed SQL Lab payload for audited launch handoff.
+@dataclass(frozen=True)
+class SqlLabLaunchPayload:
+    session_id: str
+    dataset_id: int
+    preview_id: str
+    compiled_sql: str
+    template_params: Dict[str, Any]
+# [/DEF:SqlLabLaunchPayload:Class]
+
+
+# [DEF:SupersetCompilationAdapter:Class]
+# @COMPLEXITY: 4
+# @PURPOSE: Delegate preview compilation and SQL Lab launch to Superset without local SQL fabrication.
+# @RELATION: [CALLS] ->[backend.src.core.superset_client.SupersetClient]
+# @PRE: environment is configured and Superset is reachable for the target session.
+# @POST: adapter can return explicit ready/failed preview artifacts and canonical SQL Lab references.
+# @SIDE_EFFECT: issues network requests to Superset API surfaces.
+class SupersetCompilationAdapter:
+    # [DEF:SupersetCompilationAdapter.__init__:Function]
+    # @COMPLEXITY: 2
+    # @PURPOSE: Bind adapter to one Superset environment and client instance.
+    def __init__(self, environment: Environment, client: Optional[SupersetClient] = None) -> None:
+        self.environment = environment
+        self.client = client or SupersetClient(environment)
+    # [/DEF:SupersetCompilationAdapter.__init__:Function]
+
+    # [DEF:SupersetCompilationAdapter.compile_preview:Function]
+    # @COMPLEXITY: 4
+    # @PURPOSE: Request Superset-side compiled SQL preview for the current effective inputs.
+    # @RELATION: [CALLS] ->[SupersetCompilationAdapter._request_superset_preview]
+    # @PRE: dataset_id and effective inputs are available for the current session.
+    # @POST: returns a ready or failed preview artifact backed only by Superset-originated SQL or diagnostics.
+    # @SIDE_EFFECT: performs upstream preview requests.
+    # @DATA_CONTRACT: Input[PreviewCompilationPayload] -> Output[CompiledPreview]
+    def compile_preview(self, payload: PreviewCompilationPayload) -> CompiledPreview:
+        with belief_scope("SupersetCompilationAdapter.compile_preview"):
+            if payload.dataset_id <= 0:
+                logger.explore(
+                    "Preview compilation rejected because dataset identifier is invalid",
+                    extra={"dataset_id": payload.dataset_id, "session_id": payload.session_id},
+                )
+                raise ValueError("dataset_id must be a positive integer")
+
+            logger.reason(
+                "Requesting Superset-generated SQL preview",
+                extra={
+                    "session_id": payload.session_id,
+                    "dataset_id": payload.dataset_id,
+                    "template_param_count": len(payload.template_params),
+                    "filter_count": len(payload.effective_filters),
+                },
+            )
+
+            try:
+                preview_result = self._request_superset_preview(payload)
+            except Exception as exc:
+                logger.explore(
+                    "Superset preview compilation failed with explicit upstream error",
+                    extra={
+                        "session_id": payload.session_id,
+                        "dataset_id": payload.dataset_id,
+                        "error": str(exc),
+                    },
+                )
+                return CompiledPreview(
+                    session_id=payload.session_id,
+                    preview_status=PreviewStatus.FAILED,
+                    compiled_sql=None,
+                    preview_fingerprint=payload.preview_fingerprint,
+                    compiled_by="superset",
+                    error_code="superset_preview_failed",
+                    error_details=str(exc),
+                    compiled_at=None,
+                )
+
+            compiled_sql = str(preview_result.get("compiled_sql") or "").strip()
+            if not compiled_sql:
+                logger.explore(
+                    "Superset preview response did not include compiled SQL",
+                    extra={
+                        "session_id": payload.session_id,
+                        "dataset_id": payload.dataset_id,
+                        "response_keys": sorted(preview_result.keys()),
+                    },
+                )
+                return CompiledPreview(
+                    session_id=payload.session_id,
+                    preview_status=PreviewStatus.FAILED,
+                    compiled_sql=None,
+                    preview_fingerprint=payload.preview_fingerprint,
+                    compiled_by="superset",
+                    error_code="superset_preview_empty",
+                    error_details="Superset preview response did not include compiled SQL",
+                    compiled_at=None,
+                )
+
+            preview = CompiledPreview(
+                session_id=payload.session_id,
+                preview_status=PreviewStatus.READY,
+                compiled_sql=compiled_sql,
+                preview_fingerprint=payload.preview_fingerprint,
+                compiled_by="superset",
+                error_code=None,
+                error_details=None,
+                compiled_at=datetime.utcnow(),
+            )
+            logger.reflect(
+                "Superset-generated SQL preview captured successfully",
+                extra={
+                    "session_id": payload.session_id,
+                    "dataset_id": payload.dataset_id,
+                    "compiled_sql_length": len(compiled_sql),
+                },
+            )
+            return preview
+    # [/DEF:SupersetCompilationAdapter.compile_preview:Function]
+
+    # [DEF:SupersetCompilationAdapter.mark_preview_stale:Function]
+    # @COMPLEXITY: 2
+    # @PURPOSE: Invalidate previous preview after mapping or value changes.
+    # @PRE: preview is a persisted preview artifact or current in-memory snapshot.
+    # @POST: preview status becomes stale without fabricating a replacement artifact.
+    def mark_preview_stale(self, preview: CompiledPreview) -> CompiledPreview:
+        preview.preview_status = PreviewStatus.STALE
+        return preview
+    # [/DEF:SupersetCompilationAdapter.mark_preview_stale:Function]
+
+    # [DEF:SupersetCompilationAdapter.create_sql_lab_session:Function]
+    # @COMPLEXITY: 4
+    # @PURPOSE: Create the canonical audited execution session after all launch gates pass.
+    # @RELATION: [CALLS] ->[SupersetCompilationAdapter._request_sql_lab_session]
+    # @PRE: compiled_sql is Superset-originated and launch gates are already satisfied.
+    # @POST: returns one canonical SQL Lab session reference from Superset.
+    # @SIDE_EFFECT: performs upstream SQL Lab execution/session creation.
+    # @DATA_CONTRACT: Input[SqlLabLaunchPayload] -> Output[str]
+    def create_sql_lab_session(self, payload: SqlLabLaunchPayload) -> str:
+        with belief_scope("SupersetCompilationAdapter.create_sql_lab_session"):
+            compiled_sql = str(payload.compiled_sql or "").strip()
+            if not compiled_sql:
+                logger.explore(
+                    "SQL Lab launch rejected because compiled SQL is empty",
+                    extra={"session_id": payload.session_id, "preview_id": payload.preview_id},
+                )
+                raise ValueError("compiled_sql must be non-empty")
+
+            logger.reason(
+                "Creating SQL Lab execution session from Superset-originated preview",
+                extra={
+                    "session_id": payload.session_id,
+                    "dataset_id": payload.dataset_id,
+                    "preview_id": payload.preview_id,
+                },
+            )
+            result = self._request_sql_lab_session(payload)
+            sql_lab_session_ref = str(
+                result.get("sql_lab_session_ref")
+                or result.get("query_id")
+                or result.get("id")
+                or result.get("result", {}).get("id")
+                or ""
+            ).strip()
+            if not sql_lab_session_ref:
+                logger.explore(
+                    "Superset SQL Lab launch response did not include a stable session reference",
+                    extra={"session_id": payload.session_id, "preview_id": payload.preview_id},
+                )
+                raise RuntimeError("Superset SQL Lab launch response did not include a session reference")
+
+            logger.reflect(
+                "Canonical SQL Lab session created successfully",
+                extra={
+                    "session_id": payload.session_id,
+                    "preview_id": payload.preview_id,
+                    "sql_lab_session_ref": sql_lab_session_ref,
+                },
+            )
+            return sql_lab_session_ref
+    # [/DEF:SupersetCompilationAdapter.create_sql_lab_session:Function]
+
+    # [DEF:SupersetCompilationAdapter._request_superset_preview:Function]
+    # @COMPLEXITY: 4
+    # @PURPOSE: Probe supported Superset preview surfaces and return the first explicit compilation response.
+    # @RELATION: [CALLS] ->[backend.src.core.superset_client.SupersetClient]
+    # @PRE: payload contains a valid dataset identifier and deterministic execution inputs for one preview attempt.
+    # @POST: returns the first upstream response that exposes compiled SQL without fabricating local SQL.
+    # @SIDE_EFFECT: issues one or more Superset preview requests until a supported surface responds.
+    # @DATA_CONTRACT: Input[PreviewCompilationPayload] -> Output[Dict[str,Any]]
+    def _request_superset_preview(self, payload: PreviewCompilationPayload) -> Dict[str, Any]:
+        request_payload = {
+            "dataset_id": payload.dataset_id,
+            "template_params": payload.template_params,
+            "effective_filters": payload.effective_filters,
+            "session_id": payload.session_id,
+        }
+        candidate_calls = self._build_preview_call_candidates(payload.dataset_id, request_payload)
+        errors: List[str] = []
+
+        for candidate in candidate_calls:
+            call_kind = candidate["kind"]
+            target = candidate["target"]
+            try:
+                logger.reason(
+                    "Attempting Superset preview compilation candidate",
+                    extra={"kind": call_kind, "target": target},
+                )
+                if call_kind == "client_method":
+                    method = getattr(self.client, target)
+                    response = method(request_payload)
+                else:
+                    response = self.client.network.request(
+                        method=candidate["http_method"],
+                        endpoint=target,
+                        data=candidate["data"],
+                        headers={"Content-Type": "application/json"},
+                    )
+                normalized = self._normalize_preview_response(response)
+                if normalized is not None:
+                    return normalized
+            except Exception as exc:
+                errors.append(f"{call_kind}:{target}:{exc}")
+                logger.explore(
+                    "Superset preview compilation candidate failed",
+                    extra={"kind": call_kind, "target": target, "error": str(exc)},
+                )
+
+        raise RuntimeError("; ".join(errors) or "No Superset preview surface accepted the request")
+    # [/DEF:SupersetCompilationAdapter._request_superset_preview:Function]
+
+    # [DEF:SupersetCompilationAdapter._request_sql_lab_session:Function]
+    # @COMPLEXITY: 4
+    # @PURPOSE: Probe supported SQL Lab execution surfaces and return the first successful response.
+    # @RELATION: [CALLS] ->[backend.src.core.superset_client.SupersetClient]
+    # @PRE: payload carries non-empty Superset-originated SQL and a preview identifier for the current launch.
+    # @POST: returns the first successful SQL Lab execution response from Superset.
+    # @SIDE_EFFECT: issues Superset dataset lookup and SQL Lab execution requests.
+    # @DATA_CONTRACT: Input[SqlLabLaunchPayload] -> Output[Dict[str,Any]]
+    def _request_sql_lab_session(self, payload: SqlLabLaunchPayload) -> Dict[str, Any]:
+        dataset_raw = self.client.get_dataset(payload.dataset_id)
+        dataset_record = dataset_raw.get("result", dataset_raw) if isinstance(dataset_raw, dict) else {}
+        database_id = dataset_record.get("database", {}).get("id") if isinstance(dataset_record.get("database"), dict) else dataset_record.get("database_id")
+        if database_id is None:
+            raise RuntimeError("Superset dataset does not expose a database identifier for SQL Lab launch")
+
+        request_payload = {
+            "database_id": database_id,
+            "sql": payload.compiled_sql,
+            "templateParams": payload.template_params,
+            "schema": dataset_record.get("schema"),
+            "client_id": payload.preview_id,
+        }
+        candidate_calls = [
+            {"kind": "network", "target": "/sqllab/execute/", "http_method": "POST"},
+            {"kind": "network", "target": "/sql_lab/execute/", "http_method": "POST"},
+        ]
+        errors: List[str] = []
+
+        for candidate in candidate_calls:
+            try:
+                response = self.client.network.request(
+                    method=candidate["http_method"],
+                    endpoint=candidate["target"],
+                    data=self._dump_json(request_payload),
+                    headers={"Content-Type": "application/json"},
+                )
+                if isinstance(response, dict) and response:
+                    return response
+            except Exception as exc:
+                errors.append(f"{candidate['target']}:{exc}")
+                logger.explore(
+                    "Superset SQL Lab candidate failed",
+                    extra={"target": candidate["target"], "error": str(exc)},
+                )
+
+        raise RuntimeError("; ".join(errors) or "No Superset SQL Lab surface accepted the request")
+    # [/DEF:SupersetCompilationAdapter._request_sql_lab_session:Function]
+
+    # [DEF:SupersetCompilationAdapter._build_preview_call_candidates:Function]
+    # @COMPLEXITY: 2
+    # @PURPOSE: Assemble preview candidate call shapes in priority order.
+    def _build_preview_call_candidates(
+        self,
+        dataset_id: int,
+        request_payload: Dict[str, Any],
+    ) -> List[Dict[str, Any]]:
+        candidates: List[Dict[str, Any]] = []
+        for method_name in (
+            "compile_sql_preview",
+            "compile_preview",
+            "get_compiled_sql_preview",
+        ):
+            if hasattr(self.client, method_name):
+                candidates.append({"kind": "client_method", "target": method_name})
+
+        encoded_payload = self._dump_json(request_payload)
+        candidates.extend(
+            [
+                {
+                    "kind": "network",
+                    "target": f"/dataset/{dataset_id}/preview",
+                    "http_method": "POST",
+                    "data": encoded_payload,
+                },
+                {
+                    "kind": "network",
+                    "target": f"/dataset/{dataset_id}/sql",
+                    "http_method": "POST",
+                    "data": encoded_payload,
+                },
+                {
+                    "kind": "network",
+                    "target": "/sqllab/format_sql/",
+                    "http_method": "POST",
+                    "data": encoded_payload,
+                },
+            ]
+        )
+        return candidates
+    # [/DEF:SupersetCompilationAdapter._build_preview_call_candidates:Function]
+
+    # [DEF:SupersetCompilationAdapter._normalize_preview_response:Function]
+    # @COMPLEXITY: 3
+    # @PURPOSE: Normalize candidate Superset preview responses into one compiled-sql structure.
+    # @RELATION: [DEPENDS_ON] ->[CompiledPreview]
+    def _normalize_preview_response(self, response: Any) -> Optional[Dict[str, Any]]:
+        if not isinstance(response, dict):
+            return None
+
+        compiled_sql_candidates = [
+            response.get("compiled_sql"),
+            response.get("sql"),
+            response.get("query"),
+        ]
+        result_payload = response.get("result")
+        if isinstance(result_payload, dict):
+            compiled_sql_candidates.extend(
+                [
+                    result_payload.get("compiled_sql"),
+                    result_payload.get("sql"),
+                    result_payload.get("query"),
+                ]
+            )
+
+        for candidate in compiled_sql_candidates:
+            compiled_sql = str(candidate or "").strip()
+            if compiled_sql:
+                return {
+                    "compiled_sql": compiled_sql,
+                    "raw_response": response,
+                }
+        return None
+    # [/DEF:SupersetCompilationAdapter._normalize_preview_response:Function]
+
+    # [DEF:SupersetCompilationAdapter._dump_json:Function]
+    # @COMPLEXITY: 1
+    # @PURPOSE: Serialize Superset request payload deterministically for network transport.
+    def _dump_json(self, payload: Dict[str, Any]) -> str:
+        import json
+
+        return json.dumps(payload, sort_keys=True, default=str)
+    # [/DEF:SupersetCompilationAdapter._dump_json:Function]
+# [/DEF:SupersetCompilationAdapter:Class]
+
+# [/DEF:SupersetCompilationAdapter:Module]

backend/src/core/utils/superset_context_extractor.py

@@ -15,8 +15,9 @@ from __future__ import annotations
 
 # [DEF:SupersetContextExtractor.imports:Block]
 import json
+import re
 from dataclasses import dataclass, field
-from typing import Any, Dict, List, Optional
+from typing import Any, Dict, List, Optional, Set
 from urllib.parse import parse_qs, unquote, urlparse
 
 from src.core.config_models import Environment
@@ -204,17 +205,224 @@ class SupersetContextExtractor:
     # [/DEF:SupersetContextExtractor.parse_superset_link:Function]
 
     # [DEF:SupersetContextExtractor.recover_imported_filters:Function]
-    # @COMPLEXITY: 2
+    # @COMPLEXITY: 4
     # @PURPOSE: Build imported filter entries from URL state and Superset-side saved context.
+    # @RELATION: [CALLS] ->[backend.src.core.superset_client.SupersetClient]
+    # @PRE: parsed_context comes from a successful Superset link parse for one environment.
+    # @POST: returns explicit recovered and partial filter entries with preserved provenance and confirmation requirements.
+    # @SIDE_EFFECT: may issue Superset reads for dashboard metadata enrichment.
+    # @DATA_CONTRACT: Input[SupersetParsedContext] -> Output[List[Dict[str,Any]]]
     def recover_imported_filters(self, parsed_context: SupersetParsedContext) -> List[Dict[str, Any]]:
-        return list(parsed_context.imported_filters)
+        with belief_scope("SupersetContextExtractor.recover_imported_filters"):
+            recovered_filters: List[Dict[str, Any]] = []
+            seen_filter_keys: Set[str] = set()
+
+            for item in parsed_context.imported_filters:
+                normalized = self._normalize_imported_filter_payload(
+                    item,
+                    default_source="superset_url",
+                    default_note="Recovered from Superset URL state",
+                )
+                filter_key = normalized["filter_name"].strip().lower()
+                if filter_key in seen_filter_keys:
+                    continue
+                seen_filter_keys.add(filter_key)
+                recovered_filters.append(normalized)
+
+            if parsed_context.dashboard_id is None:
+                logger.reflect(
+                    "Imported filter recovery completed without dashboard enrichment",
+                    extra={
+                        "dashboard_id": None,
+                        "filter_count": len(recovered_filters),
+                        "partial_recovery": parsed_context.partial_recovery,
+                    },
+                )
+                return recovered_filters
+
+            try:
+                dashboard_payload = self.client.get_dashboard(parsed_context.dashboard_id)
+                dashboard_record = (
+                    dashboard_payload.get("result", dashboard_payload)
+                    if isinstance(dashboard_payload, dict)
+                    else {}
+                )
+                json_metadata = dashboard_record.get("json_metadata")
+                if isinstance(json_metadata, str) and json_metadata.strip():
+                    json_metadata = json.loads(json_metadata)
+                if not isinstance(json_metadata, dict):
+                    json_metadata = {}
+
+                native_filter_configuration = json_metadata.get("native_filter_configuration") or []
+                default_filters = json_metadata.get("default_filters") or {}
+                if isinstance(default_filters, str) and default_filters.strip():
+                    try:
+                        default_filters = json.loads(default_filters)
+                    except Exception:
+                        logger.explore(
+                            "Superset default_filters payload was not valid JSON",
+                            extra={"dashboard_id": parsed_context.dashboard_id},
+                        )
+                        default_filters = {}
+
+                for item in native_filter_configuration:
+                    if not isinstance(item, dict):
+                        continue
+                    filter_name = str(
+                        item.get("name")
+                        or item.get("filter_name")
+                        or item.get("column")
+                        or ""
+                    ).strip()
+                    if not filter_name:
+                        continue
+
+                    filter_key = filter_name.lower()
+                    if filter_key in seen_filter_keys:
+                        continue
+
+                    default_value = None
+                    if isinstance(default_filters, dict):
+                        default_value = default_filters.get(filter_name)
+
+                    saved_filter = self._normalize_imported_filter_payload(
+                        {
+                            "filter_name": filter_name,
+                            "display_name": item.get("label") or item.get("name"),
+                            "raw_value": default_value,
+                            "source": "superset_native",
+                            "recovery_status": "recovered" if default_value is not None else "partial",
+                            "requires_confirmation": default_value is None,
+                            "notes": "Recovered from Superset dashboard native filter configuration",
+                        },
+                        default_source="superset_native",
+                        default_note="Recovered from Superset dashboard native filter configuration",
+                    )
+                    seen_filter_keys.add(filter_key)
+                    recovered_filters.append(saved_filter)
+
+                logger.reflect(
+                    "Imported filter recovery completed with dashboard enrichment",
+                    extra={
+                        "dashboard_id": parsed_context.dashboard_id,
+                        "filter_count": len(recovered_filters),
+                        "partial_entries": len(
+                            [
+                                item
+                                for item in recovered_filters
+                                if item["recovery_status"] == "partial"
+                            ]
+                        ),
+                    },
+                )
+                return recovered_filters
+            except Exception as exc:
+                logger.explore(
+                    "Dashboard native filter enrichment failed; preserving partial imported filters",
+                    extra={
+                        "dashboard_id": parsed_context.dashboard_id,
+                        "error": str(exc),
+                        "filter_count": len(recovered_filters),
+                    },
+                )
+                if not recovered_filters:
+                    recovered_filters.append(
+                        self._normalize_imported_filter_payload(
+                            {
+                                "filter_name": f"dashboard_{parsed_context.dashboard_id}_filters",
+                                "display_name": "Dashboard native filters",
+                                "raw_value": None,
+                                "source": "superset_native",
+                                "recovery_status": "partial",
+                                "requires_confirmation": True,
+                                "notes": "Superset dashboard filter configuration could not be recovered fully",
+                            },
+                            default_source="superset_native",
+                            default_note="Superset dashboard filter configuration could not be recovered fully",
+                        )
+                    )
+                return recovered_filters
     # [/DEF:SupersetContextExtractor.recover_imported_filters:Function]
 
     # [DEF:SupersetContextExtractor.discover_template_variables:Function]
-    # @COMPLEXITY: 2
+    # @COMPLEXITY: 4
     # @PURPOSE: Detect runtime variables and Jinja references from dataset query-bearing fields.
+    # @RELATION: [DEPENDS_ON] ->[TemplateVariable]
+    # @PRE: dataset_payload is a Superset dataset-detail style payload with query-bearing fields when available.
+    # @POST: returns deduplicated explicit variable records without executing Jinja or fabricating runtime values.
+    # @SIDE_EFFECT: none.
+    # @DATA_CONTRACT: Input[dataset_payload:Dict[str,Any]] -> Output[List[Dict[str,Any]]]
     def discover_template_variables(self, dataset_payload: Dict[str, Any]) -> List[Dict[str, Any]]:
-        return []
+        with belief_scope("SupersetContextExtractor.discover_template_variables"):
+            discovered: List[Dict[str, Any]] = []
+            seen_variable_names: Set[str] = set()
+
+            for expression_source in self._collect_query_bearing_expressions(dataset_payload):
+                for filter_match in re.finditer(
+                    r"filter_values\(\s*['\"]([^'\"]+)['\"]\s*\)",
+                    expression_source,
+                    flags=re.IGNORECASE,
+                ):
+                    variable_name = str(filter_match.group(1) or "").strip()
+                    if not variable_name:
+                        continue
+                    self._append_template_variable(
+                        discovered=discovered,
+                        seen_variable_names=seen_variable_names,
+                        variable_name=variable_name,
+                        expression_source=expression_source,
+                        variable_kind="native_filter",
+                        is_required=True,
+                        default_value=None,
+                    )
+
+                for url_param_match in re.finditer(
+                    r"url_param\(\s*['\"]([^'\"]+)['\"]\s*(?:,\s*([^)]+))?\)",
+                    expression_source,
+                    flags=re.IGNORECASE,
+                ):
+                    variable_name = str(url_param_match.group(1) or "").strip()
+                    if not variable_name:
+                        continue
+                    default_literal = url_param_match.group(2)
+                    self._append_template_variable(
+                        discovered=discovered,
+                        seen_variable_names=seen_variable_names,
+                        variable_name=variable_name,
+                        expression_source=expression_source,
+                        variable_kind="parameter",
+                        is_required=default_literal is None,
+                        default_value=self._normalize_default_literal(default_literal),
+                    )
+
+                for jinja_match in re.finditer(r"\{\{\s*(.*?)\s*\}\}", expression_source, flags=re.DOTALL):
+                    expression = str(jinja_match.group(1) or "").strip()
+                    if not expression:
+                        continue
+                    if any(token in expression for token in ("filter_values(", "url_param(", "get_filters(")):
+                        continue
+                    variable_name = self._extract_primary_jinja_identifier(expression)
+                    if not variable_name:
+                        continue
+                    self._append_template_variable(
+                        discovered=discovered,
+                        seen_variable_names=seen_variable_names,
+                        variable_name=variable_name,
+                        expression_source=expression_source,
+                        variable_kind="derived" if "." in expression or "|" in expression else "parameter",
+                        is_required=True,
+                        default_value=None,
+                    )
+
+            logger.reflect(
+                "Template variable discovery completed deterministically",
+                extra={
+                    "dataset_id": dataset_payload.get("id"),
+                    "variable_count": len(discovered),
+                    "variable_names": [item["variable_name"] for item in discovered],
+                },
+            )
+            return discovered
     # [/DEF:SupersetContextExtractor.discover_template_variables:Function]
 
     # [DEF:SupersetContextExtractor.build_recovery_summary:Function]
@@ -329,6 +537,151 @@ class SupersetContextExtractor:
 
         return imported_filters
     # [/DEF:SupersetContextExtractor._extract_imported_filters:Function]
+
+    # [DEF:SupersetContextExtractor._normalize_imported_filter_payload:Function]
+    # @COMPLEXITY: 2
+    # @PURPOSE: Normalize one imported-filter payload with explicit provenance and confirmation state.
+    def _normalize_imported_filter_payload(
+        self,
+        payload: Dict[str, Any],
+        default_source: str,
+        default_note: str,
+    ) -> Dict[str, Any]:
+        raw_value = payload.get("raw_value")
+        if "raw_value" not in payload and "value" in payload:
+            raw_value = payload.get("value")
+
+        recovery_status = str(
+            payload.get("recovery_status")
+            or ("recovered" if raw_value is not None else "partial")
+        ).strip().lower()
+        requires_confirmation = bool(
+            payload.get("requires_confirmation", raw_value is None or recovery_status != "recovered")
+        )
+        return {
+            "filter_name": str(payload.get("filter_name") or "unresolved_filter").strip(),
+            "display_name": payload.get("display_name"),
+            "raw_value": raw_value,
+            "normalized_value": payload.get("normalized_value"),
+            "source": str(payload.get("source") or default_source),
+            "confidence_state": "imported" if raw_value is not None else "unresolved",
+            "requires_confirmation": requires_confirmation,
+            "recovery_status": recovery_status,
+            "notes": str(payload.get("notes") or default_note),
+        }
+    # [/DEF:SupersetContextExtractor._normalize_imported_filter_payload:Function]
+
+    # [DEF:SupersetContextExtractor._collect_query_bearing_expressions:Function]
+    # @COMPLEXITY: 3
+    # @PURPOSE: Collect SQL and expression-bearing dataset fields for deterministic template-variable discovery.
+    # @RELATION: [DEPENDS_ON] ->[SupersetContextExtractor.discover_template_variables]
+    def _collect_query_bearing_expressions(self, dataset_payload: Dict[str, Any]) -> List[str]:
+        expressions: List[str] = []
+
+        def append_expression(candidate: Any) -> None:
+            if not isinstance(candidate, str):
+                return
+            normalized = candidate.strip()
+            if normalized:
+                expressions.append(normalized)
+
+        append_expression(dataset_payload.get("sql"))
+        append_expression(dataset_payload.get("query"))
+        append_expression(dataset_payload.get("template_sql"))
+
+        metrics_payload = dataset_payload.get("metrics") or []
+        if isinstance(metrics_payload, list):
+            for metric in metrics_payload:
+                if isinstance(metric, str):
+                    append_expression(metric)
+                    continue
+                if not isinstance(metric, dict):
+                    continue
+                append_expression(metric.get("expression"))
+                append_expression(metric.get("sqlExpression"))
+                append_expression(metric.get("metric_name"))
+
+        columns_payload = dataset_payload.get("columns") or []
+        if isinstance(columns_payload, list):
+            for column in columns_payload:
+                if not isinstance(column, dict):
+                    continue
+                append_expression(column.get("sqlExpression"))
+                append_expression(column.get("expression"))
+
+        return expressions
+    # [/DEF:SupersetContextExtractor._collect_query_bearing_expressions:Function]
+
+    # [DEF:SupersetContextExtractor._append_template_variable:Function]
+    # @COMPLEXITY: 2
+    # @PURPOSE: Append one deduplicated template-variable descriptor.
+    def _append_template_variable(
+        self,
+        discovered: List[Dict[str, Any]],
+        seen_variable_names: Set[str],
+        variable_name: str,
+        expression_source: str,
+        variable_kind: str,
+        is_required: bool,
+        default_value: Any,
+    ) -> None:
+        normalized_name = str(variable_name or "").strip()
+        if not normalized_name:
+            return
+        seen_key = normalized_name.lower()
+        if seen_key in seen_variable_names:
+            return
+        seen_variable_names.add(seen_key)
+        discovered.append(
+            {
+                "variable_name": normalized_name,
+                "expression_source": expression_source,
+                "variable_kind": variable_kind,
+                "is_required": is_required,
+                "default_value": default_value,
+                "mapping_status": "unmapped",
+            }
+        )
+    # [/DEF:SupersetContextExtractor._append_template_variable:Function]
+
+    # [DEF:SupersetContextExtractor._extract_primary_jinja_identifier:Function]
+    # @COMPLEXITY: 2
+    # @PURPOSE: Extract a deterministic primary identifier from a Jinja expression without executing it.
+    def _extract_primary_jinja_identifier(self, expression: str) -> Optional[str]:
+        matched = re.match(r"([A-Za-z_][A-Za-z0-9_]*)", expression.strip())
+        if matched is None:
+            return None
+        candidate = matched.group(1)
+        if candidate in {"if", "else", "for", "set", "True", "False", "none", "None"}:
+            return None
+        return candidate
+    # [/DEF:SupersetContextExtractor._extract_primary_jinja_identifier:Function]
+
+    # [DEF:SupersetContextExtractor._normalize_default_literal:Function]
+    # @COMPLEXITY: 2
+    # @PURPOSE: Normalize literal default fragments from template helper calls into JSON-safe values.
+    def _normalize_default_literal(self, literal: Optional[str]) -> Any:
+        normalized_literal = str(literal or "").strip()
+        if not normalized_literal:
+            return None
+        if (
+            (normalized_literal.startswith("'") and normalized_literal.endswith("'"))
+            or (normalized_literal.startswith('"') and normalized_literal.endswith('"'))
+        ):
+            return normalized_literal[1:-1]
+        lowered = normalized_literal.lower()
+        if lowered in {"true", "false"}:
+            return lowered == "true"
+        if lowered in {"null", "none"}:
+            return None
+        try:
+            return int(normalized_literal)
+        except ValueError:
+            try:
+                return float(normalized_literal)
+            except ValueError:
+                return normalized_literal
+    # [/DEF:SupersetContextExtractor._normalize_default_literal:Function]
 # [/DEF:SupersetContextExtractor:Class]
 
 # [/DEF:SupersetContextExtractor:Module]

backend/src/models/dataset_review.py

@@ -132,6 +132,7 @@ class DatasetReviewSession(Base):
     previews = relationship("CompiledPreview", back_populates="session", cascade="all, delete-orphan")
     run_contexts = relationship("DatasetRunContext", back_populates="session", cascade="all, delete-orphan")
     export_artifacts = relationship("ExportArtifact", back_populates="session", cascade="all, delete-orphan")
+    events = relationship("SessionEvent", back_populates="session", cascade="all, delete-orphan")
 # [/DEF:DatasetReviewSession:Class]
 
 # [DEF:BusinessSummarySource:Class]
@@ -303,6 +304,7 @@ class SemanticFieldEntry(Base):
     display_format = Column(String, nullable=True)
     provenance = Column(SQLEnum(FieldProvenance), nullable=False, default=FieldProvenance.UNRESOLVED)
     source_id = Column(String, nullable=True)
+    source_version = Column(String, nullable=True)
     confidence_rank = Column(Integer, nullable=True)
     is_locked = Column(Boolean, nullable=False, default=False)
     has_conflict = Column(Boolean, nullable=False, default=False)
@@ -567,6 +569,7 @@ class ClarificationAnswer(Base):
     answer_value = Column(Text, nullable=True)
     answered_by_user_id = Column(String, nullable=False)
     impact_summary = Column(Text, nullable=True)
+    user_feedback = Column(String, nullable=True) # up, down, null
     created_at = Column(DateTime, default=datetime.utcnow, nullable=False)
 
     question = relationship("ClarificationQuestion", back_populates="answer")
@@ -627,6 +630,24 @@ class DatasetRunContext(Base):
     session = relationship("DatasetReviewSession", back_populates="run_contexts")
 # [/DEF:DatasetRunContext:Class]
 
+# [DEF:SessionEvent:Class]
+class SessionEvent(Base):
+    __tablename__ = "session_events"
+
+    session_event_id = Column(String, primary_key=True, default=lambda: str(uuid.uuid4()))
+    session_id = Column(String, ForeignKey("dataset_review_sessions.session_id"), nullable=False)
+    actor_user_id = Column(String, ForeignKey("users.id"), nullable=False)
+    event_type = Column(String, nullable=False)
+    event_summary = Column(Text, nullable=False)
+    current_phase = Column(String, nullable=True)
+    readiness_state = Column(String, nullable=True)
+    event_details = Column(JSON, nullable=False, default=dict)
+    created_at = Column(DateTime, default=datetime.utcnow, nullable=False)
+
+    session = relationship("DatasetReviewSession", back_populates="events")
+    actor = relationship("User")
+# [/DEF:SessionEvent:Class]
+
 # [DEF:ArtifactType:Class]
 class ArtifactType(str, enum.Enum):
     DOCUMENTATION = "documentation"

backend/src/schemas/dataset_review.py

@@ -145,6 +145,7 @@ class SemanticFieldEntryDto(BaseModel):
     display_format: Optional[str] = None
     provenance: FieldProvenance
     source_id: Optional[str] = None
+    source_version: Optional[str] = None
     confidence_rank: Optional[int] = None
     is_locked: bool
     has_conflict: bool
@@ -239,6 +240,7 @@ class ClarificationAnswerDto(BaseModel):
     answer_value: Optional[str] = None
     answered_by_user_id: str
     impact_summary: Optional[str] = None
+    user_feedback: Optional[str] = None
     created_at: datetime
 
     class Config:

backend/src/services/dataset_review/clarification_engine.py

@@ -0,0 +1,552 @@
+# [DEF:ClarificationEngine:Module]
+# @COMPLEXITY: 4
+# @SEMANTICS: dataset_review, clarification, question_payload, answer_persistence, readiness, findings
+# @PURPOSE: Manage one-question-at-a-time clarification state, deterministic answer persistence, and readiness/finding updates.
+# @LAYER: Domain
+# @RELATION: [DEPENDS_ON] ->[DatasetReviewSessionRepository]
+# @RELATION: [DEPENDS_ON] ->[ClarificationSession]
+# @RELATION: [DEPENDS_ON] ->[ClarificationQuestion]
+# @RELATION: [DEPENDS_ON] ->[ClarificationAnswer]
+# @RELATION: [DEPENDS_ON] ->[ValidationFinding]
+# @PRE: Target session contains a persisted clarification aggregate in the current ownership scope.
+# @POST: Active clarification payload exposes one highest-priority unresolved question, and each recorded answer is persisted before pointer/readiness mutation.
+# @SIDE_EFFECT: Persists clarification answers, question/session states, and related readiness/finding changes.
+# @DATA_CONTRACT: Input[DatasetReviewSession|ClarificationAnswerCommand] -> Output[ClarificationStateResult]
+# @INVARIANT: Only one active clarification question may exist at a time; skipped and expert-review items remain unresolved and visible.
+from __future__ import annotations
+
+# [DEF:ClarificationEngine.imports:Block]
+import uuid
+from dataclasses import dataclass, field
+from datetime import datetime
+from typing import List, Optional
+
+from src.core.logger import belief_scope, logger
+from src.models.auth import User
+from src.models.dataset_review import (
+    AnswerKind,
+    ClarificationAnswer,
+    ClarificationQuestion,
+    ClarificationSession,
+    ClarificationStatus,
+    DatasetReviewSession,
+    FindingArea,
+    FindingSeverity,
+    QuestionState,
+    ReadinessState,
+    RecommendedAction,
+    ResolutionState,
+    SessionPhase,
+    ValidationFinding,
+)
+from src.services.dataset_review.repositories.session_repository import (
+    DatasetReviewSessionRepository,
+)
+# [/DEF:ClarificationEngine.imports:Block]
+
+
+# [DEF:ClarificationQuestionPayload:Class]
+# @COMPLEXITY: 2
+# @PURPOSE: Typed active-question payload returned to the API layer.
+@dataclass
+class ClarificationQuestionPayload:
+    question_id: str
+    clarification_session_id: str
+    topic_ref: str
+    question_text: str
+    why_it_matters: str
+    current_guess: Optional[str]
+    priority: int
+    state: QuestionState
+    options: list[dict[str, object]] = field(default_factory=list)
+# [/DEF:ClarificationQuestionPayload:Class]
+
+
+# [DEF:ClarificationStateResult:Class]
+# @COMPLEXITY: 2
+# @PURPOSE: Clarification state result carrying the current session, active payload, and changed findings.
+@dataclass
+class ClarificationStateResult:
+    clarification_session: ClarificationSession
+    current_question: Optional[ClarificationQuestionPayload]
+    session: DatasetReviewSession
+    changed_findings: List[ValidationFinding] = field(default_factory=list)
+# [/DEF:ClarificationStateResult:Class]
+
+
+# [DEF:ClarificationAnswerCommand:Class]
+# @COMPLEXITY: 2
+# @PURPOSE: Typed answer command for clarification state mutation.
+@dataclass
+class ClarificationAnswerCommand:
+    session: DatasetReviewSession
+    question_id: str
+    answer_kind: AnswerKind
+    answer_value: Optional[str]
+    user: User
+# [/DEF:ClarificationAnswerCommand:Class]
+
+
+# [DEF:ClarificationEngine:Class]
+# @COMPLEXITY: 4
+# @PURPOSE: Provide deterministic one-question-at-a-time clarification selection and answer persistence.
+# @RELATION: [DEPENDS_ON] ->[DatasetReviewSessionRepository]
+# @RELATION: [DEPENDS_ON] ->[ClarificationSession]
+# @RELATION: [DEPENDS_ON] ->[ValidationFinding]
+# @PRE: Repository is bound to the current request transaction scope.
+# @POST: Returned clarification state is persistence-backed and aligned with session readiness/recommended action.
+# @SIDE_EFFECT: Mutates clarification answers, session flags, and related clarification findings.
+class ClarificationEngine:
+    # [DEF:ClarificationEngine.__init__:Function]
+    # @COMPLEXITY: 2
+    # @PURPOSE: Bind repository dependency for clarification persistence operations.
+    def __init__(self, repository: DatasetReviewSessionRepository) -> None:
+        self.repository = repository
+    # [/DEF:ClarificationEngine.__init__:Function]
+
+    # [DEF:ClarificationEngine.build_question_payload:Function]
+    # @COMPLEXITY: 4
+    # @PURPOSE: Return the one active highest-priority clarification question payload with why-it-matters, current guess, and options.
+    # @RELATION: [DEPENDS_ON] ->[ClarificationQuestion]
+    # @RELATION: [DEPENDS_ON] ->[ClarificationOption]
+    # @PRE: Session contains unresolved clarification state or a resumable clarification session.
+    # @POST: Returns exactly one active/open question payload or None when no unresolved question remains.
+    # @SIDE_EFFECT: Normalizes the active-question pointer and clarification status in persistence.
+    # @DATA_CONTRACT: Input[DatasetReviewSession] -> Output[ClarificationQuestionPayload|None]
+    def build_question_payload(
+        self,
+        session: DatasetReviewSession,
+    ) -> Optional[ClarificationQuestionPayload]:
+        with belief_scope("ClarificationEngine.build_question_payload"):
+            clarification_session = self._get_latest_clarification_session(session)
+            if clarification_session is None:
+                logger.reason(
+                    "Clarification payload requested without clarification session",
+                    extra={"session_id": session.session_id},
+                )
+                return None
+
+            active_questions = [
+                question for question in clarification_session.questions
+                if question.state == QuestionState.OPEN
+            ]
+            active_questions.sort(key=lambda item: (-int(item.priority), item.created_at, item.question_id))
+
+            if not active_questions:
+                clarification_session.current_question_id = None
+                clarification_session.status = ClarificationStatus.COMPLETED
+                session.readiness_state = self._derive_readiness_state(session)
+                session.recommended_action = self._derive_recommended_action(session)
+                if session.current_phase == SessionPhase.CLARIFICATION:
+                    session.current_phase = SessionPhase.REVIEW
+                self.repository.db.commit()
+                logger.reflect(
+                    "No unresolved clarification question remains",
+                    extra={"session_id": session.session_id},
+                )
+                return None
+
+            selected_question = active_questions[0]
+            clarification_session.current_question_id = selected_question.question_id
+            clarification_session.status = ClarificationStatus.ACTIVE
+            session.readiness_state = ReadinessState.CLARIFICATION_ACTIVE
+            session.recommended_action = RecommendedAction.ANSWER_NEXT_QUESTION
+            session.current_phase = SessionPhase.CLARIFICATION
+
+            logger.reason(
+                "Selected active clarification question",
+                extra={
+                    "session_id": session.session_id,
+                    "clarification_session_id": clarification_session.clarification_session_id,
+                    "question_id": selected_question.question_id,
+                    "priority": selected_question.priority,
+                },
+            )
+            self.repository.db.commit()
+
+            payload = ClarificationQuestionPayload(
+                question_id=selected_question.question_id,
+                clarification_session_id=selected_question.clarification_session_id,
+                topic_ref=selected_question.topic_ref,
+                question_text=selected_question.question_text,
+                why_it_matters=selected_question.why_it_matters,
+                current_guess=selected_question.current_guess,
+                priority=selected_question.priority,
+                state=selected_question.state,
+                options=[
+                    {
+                        "option_id": option.option_id,
+                        "question_id": option.question_id,
+                        "label": option.label,
+                        "value": option.value,
+                        "is_recommended": option.is_recommended,
+                        "display_order": option.display_order,
+                    }
+                    for option in sorted(
+                        selected_question.options,
+                        key=lambda item: (item.display_order, item.label, item.option_id),
+                    )
+                ],
+            )
+            logger.reflect(
+                "Clarification payload built",
+                extra={
+                    "session_id": session.session_id,
+                    "question_id": payload.question_id,
+                    "option_count": len(payload.options),
+                },
+            )
+            return payload
+    # [/DEF:ClarificationEngine.build_question_payload:Function]
+
+    # [DEF:ClarificationEngine.record_answer:Function]
+    # @COMPLEXITY: 4
+    # @PURPOSE: Persist one clarification answer before any pointer/readiness mutation and compute deterministic state impact.
+    # @RELATION: [DEPENDS_ON] ->[ClarificationAnswer]
+    # @RELATION: [DEPENDS_ON] ->[ValidationFinding]
+    # @PRE: Target question belongs to the session's active clarification session and is still open.
+    # @POST: Answer row is persisted before current-question pointer advances; skipped/expert-review items remain unresolved and visible.
+    # @SIDE_EFFECT: Inserts answer row, mutates question/session states, updates clarification findings, and commits.
+    # @DATA_CONTRACT: Input[ClarificationAnswerCommand] -> Output[ClarificationStateResult]
+    def record_answer(self, command: ClarificationAnswerCommand) -> ClarificationStateResult:
+        with belief_scope("ClarificationEngine.record_answer"):
+            session = command.session
+            clarification_session = self._get_latest_clarification_session(session)
+            if clarification_session is None:
+                logger.explore(
+                    "Cannot record clarification answer because no clarification session exists",
+                    extra={"session_id": session.session_id},
+                )
+                raise ValueError("Clarification session not found")
+
+            question = self._find_question(clarification_session, command.question_id)
+            if question is None:
+                logger.explore(
+                    "Cannot record clarification answer for foreign or missing question",
+                    extra={"session_id": session.session_id, "question_id": command.question_id},
+                )
+                raise ValueError("Clarification question not found")
+
+            if question.answer is not None:
+                logger.explore(
+                    "Rejected duplicate clarification answer submission",
+                    extra={"session_id": session.session_id, "question_id": command.question_id},
+                )
+                raise ValueError("Clarification question already answered")
+
+            if clarification_session.current_question_id and clarification_session.current_question_id != question.question_id:
+                logger.explore(
+                    "Rejected answer for non-active clarification question",
+                    extra={
+                        "session_id": session.session_id,
+                        "question_id": question.question_id,
+                        "current_question_id": clarification_session.current_question_id,
+                    },
+                )
+                raise ValueError("Only the active clarification question can be answered")
+
+            normalized_answer_value = self._normalize_answer_value(command.answer_kind, command.answer_value, question)
+
+            logger.reason(
+                "Persisting clarification answer before state advancement",
+                extra={
+                    "session_id": session.session_id,
+                    "question_id": question.question_id,
+                    "answer_kind": command.answer_kind.value,
+                },
+            )
+            persisted_answer = ClarificationAnswer(
+                question_id=question.question_id,
+                answer_kind=command.answer_kind,
+                answer_value=normalized_answer_value,
+                answered_by_user_id=command.user.id,
+                impact_summary=self._build_impact_summary(question, command.answer_kind, normalized_answer_value),
+            )
+            self.repository.db.add(persisted_answer)
+            self.repository.db.flush()
+
+            changed_finding = self._upsert_clarification_finding(
+                session=session,
+                question=question,
+                answer_kind=command.answer_kind,
+                answer_value=normalized_answer_value,
+            )
+
+            if command.answer_kind == AnswerKind.SELECTED:
+                question.state = QuestionState.ANSWERED
+            elif command.answer_kind == AnswerKind.CUSTOM:
+                question.state = QuestionState.ANSWERED
+            elif command.answer_kind == AnswerKind.SKIPPED:
+                question.state = QuestionState.SKIPPED
+            elif command.answer_kind == AnswerKind.EXPERT_REVIEW:
+                question.state = QuestionState.EXPERT_REVIEW
+
+            question.updated_at = datetime.utcnow()
+            self.repository.db.flush()
+
+            clarification_session.resolved_count = self._count_resolved_questions(clarification_session)
+            clarification_session.remaining_count = self._count_remaining_questions(clarification_session)
+            clarification_session.summary_delta = self.summarize_progress(clarification_session)
+            clarification_session.updated_at = datetime.utcnow()
+
+            next_question = self._select_next_open_question(clarification_session)
+            clarification_session.current_question_id = next_question.question_id if next_question else None
+            clarification_session.status = (
+                ClarificationStatus.ACTIVE if next_question else ClarificationStatus.COMPLETED
+            )
+            if clarification_session.status == ClarificationStatus.COMPLETED:
+                clarification_session.completed_at = datetime.utcnow()
+
+            session.readiness_state = self._derive_readiness_state(session)
+            session.recommended_action = self._derive_recommended_action(session)
+            session.current_phase = (
+                SessionPhase.CLARIFICATION
+                if clarification_session.current_question_id
+                else SessionPhase.REVIEW
+            )
+            session.last_activity_at = datetime.utcnow()
+
+            self.repository.db.commit()
+            self.repository.db.refresh(session)
+
+            logger.reflect(
+                "Clarification answer recorded and session advanced",
+                extra={
+                    "session_id": session.session_id,
+                    "question_id": question.question_id,
+                    "next_question_id": clarification_session.current_question_id,
+                    "readiness_state": session.readiness_state.value,
+                    "remaining_count": clarification_session.remaining_count,
+                },
+            )
+
+            return ClarificationStateResult(
+                clarification_session=clarification_session,
+                current_question=self.build_question_payload(session),
+                session=session,
+                changed_findings=[changed_finding] if changed_finding else [],
+            )
+    # [/DEF:ClarificationEngine.record_answer:Function]
+
+    # [DEF:ClarificationEngine.summarize_progress:Function]
+    # @COMPLEXITY: 3
+    # @PURPOSE: Produce a compact progress summary for pause/resume and completion UX.
+    # @RELATION: [DEPENDS_ON] ->[ClarificationSession]
+    def summarize_progress(self, clarification_session: ClarificationSession) -> str:
+        resolved = self._count_resolved_questions(clarification_session)
+        remaining = self._count_remaining_questions(clarification_session)
+        return f"{resolved} resolved, {remaining} unresolved"
+    # [/DEF:ClarificationEngine.summarize_progress:Function]
+
+    # [DEF:ClarificationEngine._get_latest_clarification_session:Function]
+    # @COMPLEXITY: 2
+    # @PURPOSE: Select the latest clarification session for the current dataset review aggregate.
+    def _get_latest_clarification_session(
+        self,
+        session: DatasetReviewSession,
+    ) -> Optional[ClarificationSession]:
+        if not session.clarification_sessions:
+            return None
+        ordered_sessions = sorted(
+            session.clarification_sessions,
+            key=lambda item: (item.started_at, item.clarification_session_id),
+            reverse=True,
+        )
+        return ordered_sessions[0]
+    # [/DEF:ClarificationEngine._get_latest_clarification_session:Function]
+
+    # [DEF:ClarificationEngine._find_question:Function]
+    # @COMPLEXITY: 1
+    # @PURPOSE: Resolve a clarification question from the active clarification aggregate.
+    def _find_question(
+        self,
+        clarification_session: ClarificationSession,
+        question_id: str,
+    ) -> Optional[ClarificationQuestion]:
+        for question in clarification_session.questions:
+            if question.question_id == question_id:
+                return question
+        return None
+    # [/DEF:ClarificationEngine._find_question:Function]
+
+    # [DEF:ClarificationEngine._select_next_open_question:Function]
+    # @COMPLEXITY: 2
+    # @PURPOSE: Select the next unresolved question in deterministic priority order.
+    def _select_next_open_question(
+        self,
+        clarification_session: ClarificationSession,
+    ) -> Optional[ClarificationQuestion]:
+        open_questions = [
+            question for question in clarification_session.questions
+            if question.state == QuestionState.OPEN
+        ]
+        if not open_questions:
+            return None
+        open_questions.sort(key=lambda item: (-int(item.priority), item.created_at, item.question_id))
+        return open_questions[0]
+    # [/DEF:ClarificationEngine._select_next_open_question:Function]
+
+    # [DEF:ClarificationEngine._count_resolved_questions:Function]
+    # @COMPLEXITY: 1
+    # @PURPOSE: Count questions whose answers fully resolved the ambiguity.
+    def _count_resolved_questions(self, clarification_session: ClarificationSession) -> int:
+        return sum(
+            1
+            for question in clarification_session.questions
+            if question.state == QuestionState.ANSWERED
+        )
+    # [/DEF:ClarificationEngine._count_resolved_questions:Function]
+
+    # [DEF:ClarificationEngine._count_remaining_questions:Function]
+    # @COMPLEXITY: 1
+    # @PURPOSE: Count questions still unresolved or deferred after clarification interaction.
+    def _count_remaining_questions(self, clarification_session: ClarificationSession) -> int:
+        return sum(
+            1
+            for question in clarification_session.questions
+            if question.state in {QuestionState.OPEN, QuestionState.SKIPPED, QuestionState.EXPERT_REVIEW}
+        )
+    # [/DEF:ClarificationEngine._count_remaining_questions:Function]
+
+    # [DEF:ClarificationEngine._normalize_answer_value:Function]
+    # @COMPLEXITY: 2
+    # @PURPOSE: Validate and normalize answer payload based on answer kind and active question options.
+    def _normalize_answer_value(
+        self,
+        answer_kind: AnswerKind,
+        answer_value: Optional[str],
+        question: ClarificationQuestion,
+    ) -> Optional[str]:
+        normalized_answer_value = str(answer_value).strip() if answer_value is not None else None
+        if answer_kind in {AnswerKind.SELECTED, AnswerKind.CUSTOM} and not normalized_answer_value:
+            raise ValueError("answer_value is required for selected or custom clarification answers")
+        if answer_kind == AnswerKind.SELECTED:
+            allowed_values = {option.value for option in question.options}
+            if normalized_answer_value not in allowed_values:
+                raise ValueError("answer_value must match one of the current clarification options")
+        if answer_kind == AnswerKind.SKIPPED:
+            return normalized_answer_value or "skipped"
+        if answer_kind == AnswerKind.EXPERT_REVIEW:
+            return normalized_answer_value or "expert_review"
+        return normalized_answer_value
+    # [/DEF:ClarificationEngine._normalize_answer_value:Function]
+
+    # [DEF:ClarificationEngine._build_impact_summary:Function]
+    # @COMPLEXITY: 2
+    # @PURPOSE: Build a compact audit note describing how the clarification answer affects session state.
+    def _build_impact_summary(
+        self,
+        question: ClarificationQuestion,
+        answer_kind: AnswerKind,
+        answer_value: Optional[str],
+    ) -> str:
+        if answer_kind == AnswerKind.SKIPPED:
+            return f"Clarification for {question.topic_ref} was skipped and remains unresolved."
+        if answer_kind == AnswerKind.EXPERT_REVIEW:
+            return f"Clarification for {question.topic_ref} was deferred for expert review."
+        return f"Clarification for {question.topic_ref} recorded as '{answer_value}'."
+    # [/DEF:ClarificationEngine._build_impact_summary:Function]
+
+    # [DEF:ClarificationEngine._upsert_clarification_finding:Function]
+    # @COMPLEXITY: 3
+    # @PURPOSE: Keep one finding per clarification topic aligned with answer outcome and unresolved visibility rules.
+    # @RELATION: [DEPENDS_ON] ->[ValidationFinding]
+    def _upsert_clarification_finding(
+        self,
+        session: DatasetReviewSession,
+        question: ClarificationQuestion,
+        answer_kind: AnswerKind,
+        answer_value: Optional[str],
+    ) -> ValidationFinding:
+        caused_by_ref = f"clarification:{question.question_id}"
+        existing = next(
+            (
+                finding for finding in session.findings
+                if finding.area == FindingArea.CLARIFICATION and finding.caused_by_ref == caused_by_ref
+            ),
+            None,
+        )
+
+        if answer_kind in {AnswerKind.SELECTED, AnswerKind.CUSTOM}:
+            resolution_state = ResolutionState.RESOLVED
+            resolved_at = datetime.utcnow()
+            message = f"Clarified '{question.topic_ref}' with answer '{answer_value}'."
+        elif answer_kind == AnswerKind.SKIPPED:
+            resolution_state = ResolutionState.SKIPPED
+            resolved_at = None
+            message = f"Clarification for '{question.topic_ref}' was skipped and still needs review."
+        else:
+            resolution_state = ResolutionState.EXPERT_REVIEW
+            resolved_at = None
+            message = f"Clarification for '{question.topic_ref}' requires expert review."
+
+        if existing is None:
+            existing = ValidationFinding(
+                finding_id=str(uuid.uuid4()),
+                session_id=session.session_id,
+                area=FindingArea.CLARIFICATION,
+                severity=FindingSeverity.WARNING,
+                code="CLARIFICATION_PENDING",
+                title="Clarification pending",
+                message=message,
+                resolution_state=resolution_state,
+                resolution_note=None,
+                caused_by_ref=caused_by_ref,
+                created_at=datetime.utcnow(),
+                resolved_at=resolved_at,
+            )
+            self.repository.db.add(existing)
+            session.findings.append(existing)
+        else:
+            existing.message = message
+            existing.resolution_state = resolution_state
+            existing.resolved_at = resolved_at
+
+        if answer_kind in {AnswerKind.SELECTED, AnswerKind.CUSTOM}:
+            existing.code = "CLARIFICATION_RESOLVED"
+            existing.title = "Clarification resolved"
+        elif answer_kind == AnswerKind.SKIPPED:
+            existing.code = "CLARIFICATION_SKIPPED"
+            existing.title = "Clarification skipped"
+        else:
+            existing.code = "CLARIFICATION_EXPERT_REVIEW"
+            existing.title = "Clarification requires expert review"
+
+        return existing
+    # [/DEF:ClarificationEngine._upsert_clarification_finding:Function]
+
+    # [DEF:ClarificationEngine._derive_readiness_state:Function]
+    # @COMPLEXITY: 3
+    # @PURPOSE: Recompute readiness after clarification mutation while preserving unresolved visibility semantics.
+    # @RELATION: [DEPENDS_ON] ->[ClarificationSession]
+    # @RELATION: [DEPENDS_ON] ->[DatasetReviewSession]
+    def _derive_readiness_state(self, session: DatasetReviewSession) -> ReadinessState:
+        clarification_session = self._get_latest_clarification_session(session)
+        if clarification_session is None:
+            return session.readiness_state
+
+        if clarification_session.current_question_id:
+            return ReadinessState.CLARIFICATION_ACTIVE
+
+        if clarification_session.remaining_count > 0:
+            return ReadinessState.CLARIFICATION_NEEDED
+
+        return ReadinessState.REVIEW_READY
+    # [/DEF:ClarificationEngine._derive_readiness_state:Function]
+
+    # [DEF:ClarificationEngine._derive_recommended_action:Function]
+    # @COMPLEXITY: 2
+    # @PURPOSE: Recompute next-action guidance after clarification mutations.
+    def _derive_recommended_action(self, session: DatasetReviewSession) -> RecommendedAction:
+        clarification_session = self._get_latest_clarification_session(session)
+        if clarification_session is None:
+            return session.recommended_action
+        if clarification_session.current_question_id:
+            return RecommendedAction.ANSWER_NEXT_QUESTION
+        if clarification_session.remaining_count > 0:
+            return RecommendedAction.START_CLARIFICATION
+        return RecommendedAction.REVIEW_DOCUMENTATION
+    # [/DEF:ClarificationEngine._derive_recommended_action:Function]
+# [/DEF:ClarificationEngine:Class]
+
+# [/DEF:ClarificationEngine:Module]

backend/src/services/dataset_review/event_logger.py

@@ -0,0 +1,156 @@
+# [DEF:SessionEventLogger:Module]
+# @COMPLEXITY: 4
+# @SEMANTICS: dataset_review, audit, session_events, persistence, observability
+# @PURPOSE: Persist explicit session mutation events for dataset-review audit trails without weakening ownership or approval invariants.
+# @LAYER: Domain
+# @RELATION: [DEPENDS_ON] ->[SessionEvent]
+# @RELATION: [DEPENDS_ON] ->[DatasetReviewSession]
+# @PRE: Caller provides an owned session scope and an authenticated actor identifier for each persisted mutation event.
+# @POST: Every logged event is committed as an explicit, queryable audit record with deterministic event metadata.
+# @SIDE_EFFECT: Inserts persisted session event rows and emits runtime belief-state logs for audit-sensitive mutations.
+
+from __future__ import annotations
+
+# [DEF:SessionEventLogger.imports:Block]
+from dataclasses import dataclass, field
+from typing import Any, Dict, Optional
+
+from sqlalchemy.orm import Session
+
+from src.core.logger import belief_scope, logger
+from src.models.dataset_review import DatasetReviewSession, SessionEvent
+# [/DEF:SessionEventLogger.imports:Block]
+
+
+# [DEF:SessionEventPayload:Class]
+# @COMPLEXITY: 2
+# @PURPOSE: Typed input contract for one persisted dataset-review session audit event.
+@dataclass(frozen=True)
+class SessionEventPayload:
+    session_id: str
+    actor_user_id: str
+    event_type: str
+    event_summary: str
+    current_phase: Optional[str] = None
+    readiness_state: Optional[str] = None
+    event_details: Dict[str, Any] = field(default_factory=dict)
+# [/DEF:SessionEventPayload:Class]
+
+
+# [DEF:SessionEventLogger:Class]
+# @COMPLEXITY: 4
+# @PURPOSE: Persist explicit dataset-review session audit events with meaningful runtime reasoning logs.
+# @RELATION: [DEPENDS_ON] ->[SessionEvent]
+# @RELATION: [DEPENDS_ON] ->[sqlalchemy.orm.Session]
+# @PRE: The database session is live and payload identifiers are non-empty.
+# @POST: Returns the committed session event row with a stable identifier and stored detail payload.
+# @SIDE_EFFECT: Writes one audit row to persistence and emits logger.reason/logger.reflect traces.
+class SessionEventLogger:
+    # [DEF:SessionEventLogger.__init__:Function]
+    # @COMPLEXITY: 2
+    # @PURPOSE: Bind a live SQLAlchemy session to the session-event logger.
+    def __init__(self, db: Session) -> None:
+        self.db = db
+    # [/DEF:SessionEventLogger.__init__:Function]
+
+    # [DEF:SessionEventLogger.log_event:Function]
+    # @COMPLEXITY: 4
+    # @PURPOSE: Persist one explicit session event row for an owned dataset-review mutation.
+    # @RELATION: [DEPENDS_ON] ->[SessionEvent]
+    # @PRE: session_id, actor_user_id, event_type, and event_summary are non-empty.
+    # @POST: Returns the committed SessionEvent record with normalized detail payload.
+    # @SIDE_EFFECT: Inserts and commits one session_events row.
+    # @DATA_CONTRACT: Input[SessionEventPayload] -> Output[SessionEvent]
+    def log_event(self, payload: SessionEventPayload) -> SessionEvent:
+        with belief_scope("SessionEventLogger.log_event"):
+            session_id = str(payload.session_id or "").strip()
+            actor_user_id = str(payload.actor_user_id or "").strip()
+            event_type = str(payload.event_type or "").strip()
+            event_summary = str(payload.event_summary or "").strip()
+
+            if not session_id:
+                logger.explore("Session event logging rejected because session_id is empty")
+                raise ValueError("session_id must be non-empty")
+            if not actor_user_id:
+                logger.explore(
+                    "Session event logging rejected because actor_user_id is empty",
+                    extra={"session_id": session_id},
+                )
+                raise ValueError("actor_user_id must be non-empty")
+            if not event_type:
+                logger.explore(
+                    "Session event logging rejected because event_type is empty",
+                    extra={"session_id": session_id, "actor_user_id": actor_user_id},
+                )
+                raise ValueError("event_type must be non-empty")
+            if not event_summary:
+                logger.explore(
+                    "Session event logging rejected because event_summary is empty",
+                    extra={"session_id": session_id, "event_type": event_type},
+                )
+                raise ValueError("event_summary must be non-empty")
+
+            normalized_details = dict(payload.event_details or {})
+            logger.reason(
+                "Persisting explicit dataset-review session audit event",
+                extra={
+                    "session_id": session_id,
+                    "actor_user_id": actor_user_id,
+                    "event_type": event_type,
+                    "current_phase": payload.current_phase,
+                    "readiness_state": payload.readiness_state,
+                },
+            )
+
+            event = SessionEvent(
+                session_id=session_id,
+                actor_user_id=actor_user_id,
+                event_type=event_type,
+                event_summary=event_summary,
+                current_phase=payload.current_phase,
+                readiness_state=payload.readiness_state,
+                event_details=normalized_details,
+            )
+            self.db.add(event)
+            self.db.commit()
+            self.db.refresh(event)
+
+            logger.reflect(
+                "Dataset-review session audit event persisted",
+                extra={
+                    "session_id": session_id,
+                    "session_event_id": event.session_event_id,
+                    "event_type": event.event_type,
+                },
+            )
+            return event
+    # [/DEF:SessionEventLogger.log_event:Function]
+
+    # [DEF:SessionEventLogger.log_for_session:Function]
+    # @COMPLEXITY: 3
+    # @PURPOSE: Convenience wrapper for logging an event directly from a session aggregate root.
+    # @RELATION: [CALLS] ->[SessionEventLogger.log_event]
+    def log_for_session(
+        self,
+        session: DatasetReviewSession,
+        *,
+        actor_user_id: str,
+        event_type: str,
+        event_summary: str,
+        event_details: Optional[Dict[str, Any]] = None,
+    ) -> SessionEvent:
+        return self.log_event(
+            SessionEventPayload(
+                session_id=session.session_id,
+                actor_user_id=actor_user_id,
+                event_type=event_type,
+                event_summary=event_summary,
+                current_phase=session.current_phase.value if session.current_phase else None,
+                readiness_state=session.readiness_state.value if session.readiness_state else None,
+                event_details=dict(event_details or {}),
+            )
+        )
+    # [/DEF:SessionEventLogger.log_for_session:Function]
+# [/DEF:SessionEventLogger:Class]
+
+# [/DEF:SessionEventLogger:Module]

backend/src/services/dataset_review/orchestrator.py

@@ -19,23 +19,36 @@ from __future__ import annotations
 
 # [DEF:DatasetReviewOrchestrator.imports:Block]
 from dataclasses import dataclass, field
+from datetime import datetime
+import hashlib
+import json
 from typing import Any, Dict, List, Optional
 
 from src.core.config_manager import ConfigManager
 from src.core.logger import belief_scope, logger
 from src.core.task_manager import TaskManager
+from src.core.utils.superset_compilation_adapter import (
+    PreviewCompilationPayload,
+    SqlLabLaunchPayload,
+    SupersetCompilationAdapter,
+)
 from src.core.utils.superset_context_extractor import (
     SupersetContextExtractor,
     SupersetParsedContext,
 )
 from src.models.auth import User
 from src.models.dataset_review import (
+    ApprovalState,
     BusinessSummarySource,
+    CompiledPreview,
     ConfidenceState,
     DatasetProfile,
     DatasetReviewSession,
+    DatasetRunContext,
     FindingArea,
     FindingSeverity,
+    LaunchStatus,
+    PreviewStatus,
     RecommendedAction,
     ReadinessState,
     ResolutionState,
@@ -47,6 +60,7 @@ from src.services.dataset_review.repositories.session_repository import (
     DatasetReviewSessionRepository,
 )
 from src.services.dataset_review.semantic_resolver import SemanticSourceResolver
+from src.services.dataset_review.event_logger import SessionEventPayload
 # [/DEF:DatasetReviewOrchestrator.imports:Block]
 
 
@@ -73,6 +87,48 @@ class StartSessionResult:
 # [/DEF:StartSessionResult:Class]
 
 
+# [DEF:PreparePreviewCommand:Class]
+# @COMPLEXITY: 2
+# @PURPOSE: Typed input contract for compiling one Superset-backed session preview.
+@dataclass
+class PreparePreviewCommand:
+    user: User
+    session_id: str
+# [/DEF:PreparePreviewCommand:Class]
+
+
+# [DEF:PreparePreviewResult:Class]
+# @COMPLEXITY: 2
+# @PURPOSE: Result contract for one persisted compiled preview attempt.
+@dataclass
+class PreparePreviewResult:
+    session: DatasetReviewSession
+    preview: CompiledPreview
+    blocked_reasons: List[str] = field(default_factory=list)
+# [/DEF:PreparePreviewResult:Class]
+
+
+# [DEF:LaunchDatasetCommand:Class]
+# @COMPLEXITY: 2
+# @PURPOSE: Typed input contract for launching one dataset-review session into SQL Lab.
+@dataclass
+class LaunchDatasetCommand:
+    user: User
+    session_id: str
+# [/DEF:LaunchDatasetCommand:Class]
+
+
+# [DEF:LaunchDatasetResult:Class]
+# @COMPLEXITY: 2
+# @PURPOSE: Launch result carrying immutable run context and any gate blockers surfaced before launch.
+@dataclass
+class LaunchDatasetResult:
+    session: DatasetReviewSession
+    run_context: DatasetRunContext
+    blocked_reasons: List[str] = field(default_factory=list)
+# [/DEF:LaunchDatasetResult:Class]
+
+
 # [DEF:DatasetReviewOrchestrator:Class]
 # @COMPLEXITY: 5
 # @PURPOSE: Coordinate safe session startup while preserving cross-user isolation and explicit partial recovery.
@@ -197,6 +253,23 @@ class DatasetReviewOrchestrator:
                 parsed_context=parsed_context,
                 dataset_ref=dataset_ref,
             )
+            self.repository.event_logger.log_event(
+                SessionEventPayload(
+                    session_id=persisted_session.session_id,
+                    actor_user_id=command.user.id,
+                    event_type="session_started",
+                    event_summary="Dataset review session shell created",
+                    current_phase=persisted_session.current_phase.value,
+                    readiness_state=persisted_session.readiness_state.value,
+                    event_details={
+                        "source_kind": persisted_session.source_kind,
+                        "dataset_ref": persisted_session.dataset_ref,
+                        "dataset_id": persisted_session.dataset_id,
+                        "dashboard_id": persisted_session.dashboard_id,
+                        "partial_recovery": bool(parsed_context and parsed_context.partial_recovery),
+                    },
+                )
+            )
             persisted_session = self.repository.save_profile_and_findings(
                 persisted_session.session_id,
                 command.user.id,
@@ -213,6 +286,17 @@ class DatasetReviewOrchestrator:
                 persisted_session.active_task_id = active_task_id
                 self.repository.db.commit()
                 self.repository.db.refresh(persisted_session)
+                self.repository.event_logger.log_event(
+                    SessionEventPayload(
+                        session_id=persisted_session.session_id,
+                        actor_user_id=command.user.id,
+                        event_type="recovery_task_linked",
+                        event_summary="Recovery task linked to dataset review session",
+                        current_phase=persisted_session.current_phase.value,
+                        readiness_state=persisted_session.readiness_state.value,
+                        event_details={"task_id": active_task_id},
+                    )
+                )
                 logger.reason(
                     "Linked recovery task to started dataset review session",
                     extra={"session_id": persisted_session.session_id, "task_id": active_task_id},
@@ -237,6 +321,238 @@ class DatasetReviewOrchestrator:
             )
     # [/DEF:DatasetReviewOrchestrator.start_session:Function]
 
+    # [DEF:DatasetReviewOrchestrator.prepare_launch_preview:Function]
+    # @COMPLEXITY: 4
+    # @PURPOSE: Assemble effective execution inputs and trigger Superset-side preview compilation.
+    # @RELATION: [CALLS] ->[SupersetCompilationAdapter.compile_preview]
+    # @PRE: all required variables have candidate values or explicitly accepted defaults.
+    # @POST: returns preview artifact in pending, ready, failed, or stale state.
+    # @SIDE_EFFECT: persists preview attempt and upstream compilation diagnostics.
+    # @DATA_CONTRACT: Input[PreparePreviewCommand] -> Output[PreparePreviewResult]
+    def prepare_launch_preview(self, command: PreparePreviewCommand) -> PreparePreviewResult:
+        with belief_scope("DatasetReviewOrchestrator.prepare_launch_preview"):
+            session = self.repository.load_session_detail(command.session_id, command.user.id)
+            if session is None or session.user_id != command.user.id:
+                logger.explore(
+                    "Preview preparation rejected because owned session was not found",
+                    extra={"session_id": command.session_id, "user_id": command.user.id},
+                )
+                raise ValueError("Session not found")
+
+            if session.dataset_id is None:
+                raise ValueError("Preview requires a resolved dataset_id")
+
+            environment = self.config_manager.get_environment(session.environment_id)
+            if environment is None:
+                raise ValueError("Environment not found")
+
+            execution_snapshot = self._build_execution_snapshot(session)
+            preview_blockers = execution_snapshot["preview_blockers"]
+            if preview_blockers:
+                logger.explore(
+                    "Preview preparation blocked by incomplete execution context",
+                    extra={
+                        "session_id": session.session_id,
+                        "blocked_reasons": preview_blockers,
+                    },
+                )
+                raise ValueError("Preview blocked: " + "; ".join(preview_blockers))
+
+            adapter = SupersetCompilationAdapter(environment)
+            preview = adapter.compile_preview(
+                PreviewCompilationPayload(
+                    session_id=session.session_id,
+                    dataset_id=session.dataset_id,
+                    preview_fingerprint=execution_snapshot["preview_fingerprint"],
+                    template_params=execution_snapshot["template_params"],
+                    effective_filters=execution_snapshot["effective_filters"],
+                )
+            )
+            persisted_preview = self.repository.save_preview(
+                session.session_id,
+                command.user.id,
+                preview,
+            )
+
+            session.current_phase = SessionPhase.PREVIEW
+            session.last_activity_at = datetime.utcnow()
+            if persisted_preview.preview_status == PreviewStatus.READY:
+                launch_blockers = self._build_launch_blockers(
+                    session=session,
+                    execution_snapshot=execution_snapshot,
+                    preview=persisted_preview,
+                )
+                if launch_blockers:
+                    session.readiness_state = ReadinessState.COMPILED_PREVIEW_READY
+                    session.recommended_action = RecommendedAction.APPROVE_MAPPING
+                else:
+                    session.readiness_state = ReadinessState.RUN_READY
+                    session.recommended_action = RecommendedAction.LAUNCH_DATASET
+            else:
+                session.readiness_state = ReadinessState.PARTIALLY_READY
+                session.recommended_action = RecommendedAction.GENERATE_SQL_PREVIEW
+            self.repository.db.commit()
+            self.repository.db.refresh(session)
+            self.repository.event_logger.log_event(
+                SessionEventPayload(
+                    session_id=session.session_id,
+                    actor_user_id=command.user.id,
+                    event_type="preview_generated",
+                    event_summary="Superset preview generation persisted",
+                    current_phase=session.current_phase.value,
+                    readiness_state=session.readiness_state.value,
+                    event_details={
+                        "preview_id": persisted_preview.preview_id,
+                        "preview_status": persisted_preview.preview_status.value,
+                        "preview_fingerprint": persisted_preview.preview_fingerprint,
+                    },
+                )
+            )
+
+            logger.reflect(
+                "Superset preview preparation completed",
+                extra={
+                    "session_id": session.session_id,
+                    "preview_id": persisted_preview.preview_id,
+                    "preview_status": persisted_preview.preview_status.value,
+                    "preview_fingerprint": persisted_preview.preview_fingerprint,
+                },
+            )
+            return PreparePreviewResult(
+                session=session,
+                preview=persisted_preview,
+                blocked_reasons=[],
+            )
+    # [/DEF:DatasetReviewOrchestrator.prepare_launch_preview:Function]
+
+    # [DEF:DatasetReviewOrchestrator.launch_dataset:Function]
+    # @COMPLEXITY: 5
+    # @PURPOSE: Start the approved dataset execution through SQL Lab and persist run context for audit/replay.
+    # @RELATION: [CALLS] ->[SupersetCompilationAdapter.create_sql_lab_session]
+    # @PRE: session is run-ready and compiled preview is current.
+    # @POST: returns persisted run context with SQL Lab session reference and launch outcome.
+    # @SIDE_EFFECT: creates SQL Lab execution session and audit snapshot.
+    # @DATA_CONTRACT: Input[LaunchDatasetCommand] -> Output[LaunchDatasetResult]
+    # @INVARIANT: launch remains blocked unless blocking findings are closed, approvals are satisfied, and the latest Superset preview fingerprint matches current execution inputs.
+    def launch_dataset(self, command: LaunchDatasetCommand) -> LaunchDatasetResult:
+        with belief_scope("DatasetReviewOrchestrator.launch_dataset"):
+            session = self.repository.load_session_detail(command.session_id, command.user.id)
+            if session is None or session.user_id != command.user.id:
+                logger.explore(
+                    "Launch rejected because owned session was not found",
+                    extra={"session_id": command.session_id, "user_id": command.user.id},
+                )
+                raise ValueError("Session not found")
+
+            if session.dataset_id is None:
+                raise ValueError("Launch requires a resolved dataset_id")
+
+            environment = self.config_manager.get_environment(session.environment_id)
+            if environment is None:
+                raise ValueError("Environment not found")
+
+            execution_snapshot = self._build_execution_snapshot(session)
+            current_preview = self._get_latest_preview(session)
+            launch_blockers = self._build_launch_blockers(
+                session=session,
+                execution_snapshot=execution_snapshot,
+                preview=current_preview,
+            )
+            if launch_blockers:
+                logger.explore(
+                    "Launch gate blocked dataset execution",
+                    extra={
+                        "session_id": session.session_id,
+                        "blocked_reasons": launch_blockers,
+                    },
+                )
+                raise ValueError("Launch blocked: " + "; ".join(launch_blockers))
+
+            adapter = SupersetCompilationAdapter(environment)
+            try:
+                sql_lab_session_ref = adapter.create_sql_lab_session(
+                    SqlLabLaunchPayload(
+                        session_id=session.session_id,
+                        dataset_id=session.dataset_id,
+                        preview_id=current_preview.preview_id,
+                        compiled_sql=str(current_preview.compiled_sql or ""),
+                        template_params=execution_snapshot["template_params"],
+                    )
+                )
+                launch_status = LaunchStatus.STARTED
+                launch_error = None
+            except Exception as exc:
+                logger.explore(
+                    "SQL Lab launch failed after passing gates",
+                    extra={"session_id": session.session_id, "error": str(exc)},
+                )
+                sql_lab_session_ref = "unavailable"
+                launch_status = LaunchStatus.FAILED
+                launch_error = str(exc)
+
+            run_context = DatasetRunContext(
+                session_id=session.session_id,
+                dataset_ref=session.dataset_ref,
+                environment_id=session.environment_id,
+                preview_id=current_preview.preview_id,
+                sql_lab_session_ref=sql_lab_session_ref,
+                effective_filters=execution_snapshot["effective_filters"],
+                template_params=execution_snapshot["template_params"],
+                approved_mapping_ids=execution_snapshot["approved_mapping_ids"],
+                semantic_decision_refs=execution_snapshot["semantic_decision_refs"],
+                open_warning_refs=execution_snapshot["open_warning_refs"],
+                launch_status=launch_status,
+                launch_error=launch_error,
+            )
+            persisted_run_context = self.repository.save_run_context(
+                session.session_id,
+                command.user.id,
+                run_context,
+            )
+
+            session.current_phase = SessionPhase.LAUNCH
+            session.last_activity_at = datetime.utcnow()
+            if launch_status == LaunchStatus.FAILED:
+                session.readiness_state = ReadinessState.COMPILED_PREVIEW_READY
+                session.recommended_action = RecommendedAction.LAUNCH_DATASET
+            else:
+                session.readiness_state = ReadinessState.RUN_IN_PROGRESS
+                session.recommended_action = RecommendedAction.EXPORT_OUTPUTS
+            self.repository.db.commit()
+            self.repository.db.refresh(session)
+            self.repository.event_logger.log_event(
+                SessionEventPayload(
+                    session_id=session.session_id,
+                    actor_user_id=command.user.id,
+                    event_type="dataset_launch_requested",
+                    event_summary="Dataset launch handoff persisted",
+                    current_phase=session.current_phase.value,
+                    readiness_state=session.readiness_state.value,
+                    event_details={
+                        "run_context_id": persisted_run_context.run_context_id,
+                        "launch_status": persisted_run_context.launch_status.value,
+                        "preview_id": persisted_run_context.preview_id,
+                        "sql_lab_session_ref": persisted_run_context.sql_lab_session_ref,
+                    },
+                )
+            )
+
+            logger.reflect(
+                "Dataset launch orchestration completed with audited run context",
+                extra={
+                    "session_id": session.session_id,
+                    "run_context_id": persisted_run_context.run_context_id,
+                    "launch_status": persisted_run_context.launch_status.value,
+                    "preview_id": persisted_run_context.preview_id,
+                },
+            )
+            return LaunchDatasetResult(
+                session=session,
+                run_context=persisted_run_context,
+                blocked_reasons=[],
+            )
+    # [/DEF:DatasetReviewOrchestrator.launch_dataset:Function]
+
     # [DEF:DatasetReviewOrchestrator._parse_dataset_selection:Function]
     # @COMPLEXITY: 3
     # @PURPOSE: Normalize dataset-selection payload into canonical session references.
@@ -328,6 +644,158 @@ class DatasetReviewOrchestrator:
         return findings
     # [/DEF:DatasetReviewOrchestrator._build_partial_recovery_findings:Function]
 
+    # [DEF:DatasetReviewOrchestrator._build_execution_snapshot:Function]
+    # @COMPLEXITY: 4
+    # @PURPOSE: Build effective filters, template params, approvals, and fingerprint for preview and launch gating.
+    # @RELATION: [DEPENDS_ON] ->[DatasetReviewSession]
+    # @PRE: Session aggregate includes imported filters, template variables, and current execution mappings.
+    # @POST: returns deterministic execution snapshot for current session state without mutating persistence.
+    # @SIDE_EFFECT: none.
+    # @DATA_CONTRACT: Input[DatasetReviewSession] -> Output[Dict[str,Any]]
+    def _build_execution_snapshot(self, session: DatasetReviewSession) -> Dict[str, Any]:
+        filter_lookup = {item.filter_id: item for item in session.imported_filters}
+        variable_lookup = {item.variable_id: item for item in session.template_variables}
+
+        effective_filters: List[Dict[str, Any]] = []
+        template_params: Dict[str, Any] = {}
+        approved_mapping_ids: List[str] = []
+        open_warning_refs: List[str] = []
+        preview_blockers: List[str] = []
+
+        for mapping in session.execution_mappings:
+            imported_filter = filter_lookup.get(mapping.filter_id)
+            template_variable = variable_lookup.get(mapping.variable_id)
+            if imported_filter is None:
+                preview_blockers.append(f"mapping:{mapping.mapping_id}:missing_filter")
+                continue
+            if template_variable is None:
+                preview_blockers.append(f"mapping:{mapping.mapping_id}:missing_variable")
+                continue
+
+            effective_value = mapping.effective_value
+            if effective_value is None:
+                effective_value = imported_filter.normalized_value
+            if effective_value is None:
+                effective_value = imported_filter.raw_value
+            if effective_value is None:
+                effective_value = template_variable.default_value
+
+            if effective_value is None and template_variable.is_required:
+                preview_blockers.append(f"variable:{template_variable.variable_name}:missing_required_value")
+                continue
+
+            effective_filters.append(
+                {
+                    "mapping_id": mapping.mapping_id,
+                    "filter_id": imported_filter.filter_id,
+                    "filter_name": imported_filter.filter_name,
+                    "variable_id": template_variable.variable_id,
+                    "variable_name": template_variable.variable_name,
+                    "effective_value": effective_value,
+                    "raw_input_value": mapping.raw_input_value,
+                }
+            )
+            template_params[template_variable.variable_name] = effective_value
+            if mapping.approval_state == ApprovalState.APPROVED:
+                approved_mapping_ids.append(mapping.mapping_id)
+            if mapping.requires_explicit_approval and mapping.approval_state != ApprovalState.APPROVED:
+                open_warning_refs.append(mapping.mapping_id)
+
+        mapped_variable_ids = {mapping.variable_id for mapping in session.execution_mappings}
+        for variable in session.template_variables:
+            if variable.variable_id in mapped_variable_ids:
+                continue
+            if variable.default_value is not None:
+                template_params[variable.variable_name] = variable.default_value
+                continue
+            if variable.is_required:
+                preview_blockers.append(f"variable:{variable.variable_name}:unmapped")
+
+        semantic_decision_refs = [
+            field.field_id
+            for field in session.semantic_fields
+            if field.is_locked or not field.needs_review or field.provenance.value != "unresolved"
+        ]
+        preview_fingerprint = self._compute_preview_fingerprint(
+            {
+                "dataset_id": session.dataset_id,
+                "template_params": template_params,
+                "effective_filters": effective_filters,
+            }
+        )
+        return {
+            "effective_filters": effective_filters,
+            "template_params": template_params,
+            "approved_mapping_ids": sorted(approved_mapping_ids),
+            "semantic_decision_refs": sorted(semantic_decision_refs),
+            "open_warning_refs": sorted(open_warning_refs),
+            "preview_blockers": sorted(set(preview_blockers)),
+            "preview_fingerprint": preview_fingerprint,
+        }
+    # [/DEF:DatasetReviewOrchestrator._build_execution_snapshot:Function]
+
+    # [DEF:DatasetReviewOrchestrator._build_launch_blockers:Function]
+    # @COMPLEXITY: 4
+    # @PURPOSE: Enforce launch gates from findings, approvals, and current preview truth.
+    # @RELATION: [DEPENDS_ON] ->[CompiledPreview]
+    # @PRE: execution_snapshot was computed from current session state and preview is the latest persisted preview or None.
+    # @POST: returns explicit blocker codes for every unmet launch invariant.
+    # @SIDE_EFFECT: none.
+    # @DATA_CONTRACT: Input[DatasetReviewSession,Dict[str,Any],CompiledPreview|None] -> Output[List[str]]
+    def _build_launch_blockers(
+        self,
+        session: DatasetReviewSession,
+        execution_snapshot: Dict[str, Any],
+        preview: Optional[CompiledPreview],
+    ) -> List[str]:
+        blockers = list(execution_snapshot["preview_blockers"])
+
+        for finding in session.findings:
+            if (
+                finding.severity == FindingSeverity.BLOCKING
+                and finding.resolution_state not in {ResolutionState.RESOLVED, ResolutionState.APPROVED}
+            ):
+                blockers.append(f"finding:{finding.code}:blocking")
+        for mapping in session.execution_mappings:
+            if mapping.requires_explicit_approval and mapping.approval_state != ApprovalState.APPROVED:
+                blockers.append(f"mapping:{mapping.mapping_id}:approval_required")
+
+        if preview is None:
+            blockers.append("preview:missing")
+        else:
+            if preview.preview_status != PreviewStatus.READY:
+                blockers.append(f"preview:{preview.preview_status.value}")
+            if preview.preview_fingerprint != execution_snapshot["preview_fingerprint"]:
+                blockers.append("preview:fingerprint_mismatch")
+
+        return sorted(set(blockers))
+    # [/DEF:DatasetReviewOrchestrator._build_launch_blockers:Function]
+
+    # [DEF:DatasetReviewOrchestrator._get_latest_preview:Function]
+    # @COMPLEXITY: 2
+    # @PURPOSE: Resolve the current latest preview snapshot for one session aggregate.
+    def _get_latest_preview(self, session: DatasetReviewSession) -> Optional[CompiledPreview]:
+        if not session.previews:
+            return None
+        if session.last_preview_id:
+            for preview in session.previews:
+                if preview.preview_id == session.last_preview_id:
+                    return preview
+        return sorted(
+            session.previews,
+            key=lambda item: (item.created_at or datetime.min, item.preview_id),
+            reverse=True,
+        )[0]
+    # [/DEF:DatasetReviewOrchestrator._get_latest_preview:Function]
+
+    # [DEF:DatasetReviewOrchestrator._compute_preview_fingerprint:Function]
+    # @COMPLEXITY: 2
+    # @PURPOSE: Produce deterministic execution fingerprint for preview truth and staleness checks.
+    def _compute_preview_fingerprint(self, payload: Dict[str, Any]) -> str:
+        serialized = json.dumps(payload, sort_keys=True, default=str)
+        return hashlib.sha256(serialized.encode("utf-8")).hexdigest()
+    # [/DEF:DatasetReviewOrchestrator._compute_preview_fingerprint:Function]
+
     # [DEF:DatasetReviewOrchestrator._enqueue_recovery_task:Function]
     # @COMPLEXITY: 4
     # @PURPOSE: Link session start to observable async recovery when task infrastructure is available.

backend/src/services/dataset_review/repositories/session_repository.py

@@ -16,14 +16,19 @@ from typing import Optional, List
 from sqlalchemy import or_
 from sqlalchemy.orm import Session, joinedload
 from src.models.dataset_review import (
+    ClarificationQuestion,
+    ClarificationSession,
     DatasetReviewSession,
     DatasetProfile,
     ValidationFinding,
     CompiledPreview,
     DatasetRunContext,
-    SessionCollaborator
+    SemanticFieldEntry,
+    SessionCollaborator,
+    SessionEvent,
 )
-from src.core.logger import belief_scope
+from src.core.logger import belief_scope, logger
+from src.services.dataset_review.event_logger import SessionEventLogger
 
 # [DEF:SessionRepo:Class]
 # @COMPLEXITY: 4
@@ -37,16 +42,46 @@ from src.core.logger import belief_scope
 # @SIDE_EFFECT: mutates and queries the persistence layer through the injected database session.
 # @DATA_CONTRACT: Input[OwnedSessionQuery|SessionMutation] -> Output[PersistedSessionAggregate|PersistedChildRecord]
 class DatasetReviewSessionRepository:
-    """
-    @PURPOSE: Persist and retrieve dataset review session aggregates.
-    @INVARIANT: ownership_scope -> All operations must respect the session owner's user_id.
-    """
 
     # [DEF:init_repo:Function]
+    # @COMPLEXITY: 2
+    # @PURPOSE: Bind one live SQLAlchemy session to the repository instance.
     def __init__(self, db: Session):
         self.db = db
+        self.event_logger = SessionEventLogger(db)
     # [/DEF:init_repo:Function]
 
+    # [DEF:get_owned_session:Function]
+    # @COMPLEXITY: 4
+    # @PURPOSE: Resolve one owner-scoped dataset review session for mutation paths without leaking foreign-session state.
+    # @RELATION: [DEPENDS_ON] -> [DatasetReviewSession]
+    # @PRE: session_id and user_id are non-empty identifiers from the authenticated ownership scope.
+    # @POST: returns the owned session or raises a deterministic access error.
+    # @SIDE_EFFECT: reads one session row from the current database transaction.
+    # @DATA_CONTRACT: Input[OwnedSessionQuery] -> Output[DatasetReviewSession|ValueError]
+    def _get_owned_session(self, session_id: str, user_id: str) -> DatasetReviewSession:
+        with belief_scope("DatasetReviewSessionRepository.get_owned_session"):
+            logger.reason(
+                "Resolving owner-scoped dataset review session for mutation path",
+                extra={"session_id": session_id, "user_id": user_id},
+            )
+            session = self.db.query(DatasetReviewSession).filter(
+                DatasetReviewSession.session_id == session_id,
+                DatasetReviewSession.user_id == user_id,
+            ).first()
+            if not session:
+                logger.explore(
+                    "Owner-scoped dataset review session lookup failed",
+                    extra={"session_id": session_id, "user_id": user_id},
+                )
+                raise ValueError("Session not found or access denied")
+            logger.reflect(
+                "Owner-scoped dataset review session resolved",
+                extra={"session_id": session.session_id, "user_id": session.user_id},
+            )
+            return session
+    # [/DEF:get_owned_session:Function]
+
     # [DEF:create_sess:Function]
     # @COMPLEXITY: 4
     # @PURPOSE: Persist an initial dataset review session shell.
@@ -57,9 +92,17 @@ class DatasetReviewSessionRepository:
     # @DATA_CONTRACT: Input[DatasetReviewSession] -> Output[DatasetReviewSession]
     def create_session(self, session: DatasetReviewSession) -> DatasetReviewSession:
         with belief_scope("DatasetReviewSessionRepository.create_session"):
+            logger.reason(
+                "Persisting dataset review session shell",
+                extra={"user_id": session.user_id, "environment_id": session.environment_id},
+            )
             self.db.add(session)
             self.db.commit()
             self.db.refresh(session)
+            logger.reflect(
+                "Dataset review session shell persisted with stable identifier",
+                extra={"session_id": session.session_id, "user_id": session.user_id},
+            )
             return session
     # [/DEF:create_sess:Function]
 
@@ -69,25 +112,27 @@ class DatasetReviewSessionRepository:
     # @RELATION: [DEPENDS_ON] -> [DatasetReviewSession]
     # @RELATION: [DEPENDS_ON] -> [SessionCollaborator]
     def load_session_detail(self, session_id: str, user_id: str) -> Optional[DatasetReviewSession]:
-        """
-        @PRE: user_id must match session owner or authorized collaborator.
-        """
         with belief_scope("DatasetReviewSessionRepository.load_session_detail"):
-            # Check if user is owner or collaborator
-            return self.db.query(DatasetReviewSession)\
+            logger.reason(
+                "Loading dataset review session detail for owner-or-collaborator scope",
+                extra={"session_id": session_id, "user_id": user_id},
+            )
+            session = self.db.query(DatasetReviewSession)\
                 .outerjoin(SessionCollaborator, DatasetReviewSession.session_id == SessionCollaborator.session_id)\
                 .options(
                     joinedload(DatasetReviewSession.profile),
                     joinedload(DatasetReviewSession.findings),
                     joinedload(DatasetReviewSession.collaborators),
                     joinedload(DatasetReviewSession.semantic_sources),
-                    joinedload(DatasetReviewSession.semantic_fields),
+                    joinedload(DatasetReviewSession.semantic_fields).joinedload(SemanticFieldEntry.candidates),
                     joinedload(DatasetReviewSession.imported_filters),
                     joinedload(DatasetReviewSession.template_variables),
                     joinedload(DatasetReviewSession.execution_mappings),
-                    joinedload(DatasetReviewSession.clarification_sessions),
+                    joinedload(DatasetReviewSession.clarification_sessions).joinedload(ClarificationSession.questions).joinedload(ClarificationQuestion.options),
+                    joinedload(DatasetReviewSession.clarification_sessions).joinedload(ClarificationSession.questions).joinedload(ClarificationQuestion.answer),
                     joinedload(DatasetReviewSession.previews),
-                    joinedload(DatasetReviewSession.run_contexts)
+                    joinedload(DatasetReviewSession.run_contexts),
+                    joinedload(DatasetReviewSession.events)
                 )\
                 .filter(DatasetReviewSession.session_id == session_id)\
                 .filter(
@@ -97,6 +142,15 @@ class DatasetReviewSessionRepository:
                     )
                 )\
                 .first()
+            logger.reflect(
+                "Dataset review session detail lookup completed",
+                extra={
+                    "session_id": session_id,
+                    "user_id": user_id,
+                    "found": bool(session),
+                },
+            )
+            return session
     # [/DEF:load_detail:Function]
 
     # [DEF:save_prof_find:Function]
@@ -111,32 +165,40 @@ class DatasetReviewSessionRepository:
     # @DATA_CONTRACT: Input[ProfileAndFindingsMutation] -> Output[DatasetReviewSession]
     def save_profile_and_findings(self, session_id: str, user_id: str, profile: DatasetProfile, findings: List[ValidationFinding]) -> DatasetReviewSession:
         with belief_scope("DatasetReviewSessionRepository.save_profile_and_findings"):
-            session = self.db.query(DatasetReviewSession).filter(
-                DatasetReviewSession.session_id == session_id,
-                DatasetReviewSession.user_id == user_id
-            ).first()
-
-            if not session:
-                raise ValueError("Session not found or access denied")
+            session = self._get_owned_session(session_id, user_id)
+            logger.reason(
+                "Persisting dataset profile and replacing validation findings",
+                extra={
+                    "session_id": session_id,
+                    "user_id": user_id,
+                    "has_profile": bool(profile),
+                    "findings_count": len(findings),
+                },
+            )
 
             if profile:
-                # Ensure we update existing profile by session_id if it exists
                 existing_profile = self.db.query(DatasetProfile).filter_by(session_id=session_id).first()
                 if existing_profile:
                     profile.profile_id = existing_profile.profile_id
                 self.db.merge(profile)
 
-            # Remove old findings for this session to avoid stale data
             self.db.query(ValidationFinding).filter(
                 ValidationFinding.session_id == session_id
             ).delete()
 
-            # Add new findings
             for finding in findings:
                 finding.session_id = session_id
                 self.db.add(finding)
 
             self.db.commit()
+            logger.reflect(
+                "Dataset profile and validation findings committed",
+                extra={
+                    "session_id": session.session_id,
+                    "user_id": user_id,
+                    "findings_count": len(findings),
+                },
+            )
             return self.load_session_detail(session_id, user_id)
     # [/DEF:save_prof_find:Function]
 
@@ -151,15 +213,12 @@ class DatasetReviewSessionRepository:
     # @DATA_CONTRACT: Input[PreviewMutation] -> Output[CompiledPreview]
     def save_preview(self, session_id: str, user_id: str, preview: CompiledPreview) -> CompiledPreview:
         with belief_scope("DatasetReviewSessionRepository.save_preview"):
-            session = self.db.query(DatasetReviewSession).filter(
-                DatasetReviewSession.session_id == session_id,
-                DatasetReviewSession.user_id == user_id
-            ).first()
+            session = self._get_owned_session(session_id, user_id)
+            logger.reason(
+                "Persisting compiled preview and staling previous preview snapshots",
+                extra={"session_id": session_id, "user_id": user_id},
+            )
 
-            if not session:
-                raise ValueError("Session not found or access denied")
-
-            # Mark existing previews for this session as stale if they are not the new one
             self.db.query(CompiledPreview).filter(
                 CompiledPreview.session_id == session_id
             ).update({"preview_status": "stale"})
@@ -170,6 +229,14 @@ class DatasetReviewSessionRepository:
 
             self.db.commit()
             self.db.refresh(preview)
+            logger.reflect(
+                "Compiled preview committed as latest session preview",
+                extra={
+                    "session_id": session.session_id,
+                    "preview_id": preview.preview_id,
+                    "user_id": user_id,
+                },
+            )
             return preview
     # [/DEF:save_prev:Function]
 
@@ -184,13 +251,11 @@ class DatasetReviewSessionRepository:
     # @DATA_CONTRACT: Input[RunContextMutation] -> Output[DatasetRunContext]
     def save_run_context(self, session_id: str, user_id: str, run_context: DatasetRunContext) -> DatasetRunContext:
         with belief_scope("DatasetReviewSessionRepository.save_run_context"):
-            session = self.db.query(DatasetReviewSession).filter(
-                DatasetReviewSession.session_id == session_id,
-                DatasetReviewSession.user_id == user_id
-            ).first()
-
-            if not session:
-                raise ValueError("Session not found or access denied")
+            session = self._get_owned_session(session_id, user_id)
+            logger.reason(
+                "Persisting dataset run context audit snapshot",
+                extra={"session_id": session_id, "user_id": user_id},
+            )
 
             self.db.add(run_context)
             self.db.flush()
@@ -198,6 +263,14 @@ class DatasetReviewSessionRepository:
 
             self.db.commit()
             self.db.refresh(run_context)
+            logger.reflect(
+                "Dataset run context committed as latest launch snapshot",
+                extra={
+                    "session_id": session.session_id,
+                    "run_context_id": run_context.run_context_id,
+                    "user_id": user_id,
+                },
+            )
             return run_context
     # [/DEF:save_run_ctx:Function]
 
@@ -207,9 +280,18 @@ class DatasetReviewSessionRepository:
     # @RELATION: [DEPENDS_ON] -> [DatasetReviewSession]
     def list_sessions_for_user(self, user_id: str) -> List[DatasetReviewSession]:
         with belief_scope("DatasetReviewSessionRepository.list_sessions_for_user"):
-            return self.db.query(DatasetReviewSession).filter(
+            logger.reason(
+                "Listing dataset review sessions for owner scope",
+                extra={"user_id": user_id},
+            )
+            sessions = self.db.query(DatasetReviewSession).filter(
                 DatasetReviewSession.user_id == user_id
             ).order_by(DatasetReviewSession.updated_at.desc()).all()
+            logger.reflect(
+                "Dataset review session list assembled",
+                extra={"user_id": user_id, "session_count": len(sessions)},
+            )
+            return sessions
     # [/DEF:list_user_sess:Function]
 # [/DEF:SessionRepo:Class]
 

backend/src/services/dataset_review/semantic_resolver.py

@@ -24,6 +24,7 @@ from src.models.dataset_review import (
     CandidateMatchType,
     CandidateStatus,
     FieldProvenance,
+    SemanticSource,
 )
 # [/DEF:SemanticSourceResolver.imports:Block]
 
@@ -259,6 +260,63 @@ class SemanticSourceResolver:
         return merged
     # [/DEF:SemanticSourceResolver.apply_field_decision:Function]
 
+    # [DEF:SemanticSourceResolver.propagate_source_version_update:Function]
+    # @COMPLEXITY: 4
+    # @PURPOSE: Propagate a semantic source version change to unlocked field entries without silently overwriting manual or locked values.
+    # @RELATION: [DEPENDS_ON] ->[SemanticSource]
+    # @RELATION: [DEPENDS_ON] ->[SemanticFieldEntry]
+    # @PRE: source is persisted and fields belong to the same session aggregate.
+    # @POST: unlocked fields linked to the source carry the new source version and are marked reviewable; manual or locked fields keep their active values untouched.
+    # @SIDE_EFFECT: mutates in-memory field state for the caller to persist.
+    # @DATA_CONTRACT: Input[SemanticSource,List[SemanticFieldEntry]] -> Output[Dict[str,int]]
+    def propagate_source_version_update(
+        self,
+        source: SemanticSource,
+        fields: Iterable[Any],
+    ) -> Dict[str, int]:
+        with belief_scope("SemanticSourceResolver.propagate_source_version_update"):
+            source_id = str(source.source_id or "").strip()
+            source_version = str(source.source_version or "").strip()
+            if not source_id or not source_version:
+                logger.explore(
+                    "Semantic source version propagation rejected due to incomplete source metadata",
+                    extra={"source_id": source_id, "source_version": source_version},
+                )
+                raise ValueError("Semantic source must provide source_id and source_version")
+
+            propagated = 0
+            preserved_locked = 0
+            untouched = 0
+            for field in fields:
+                if str(getattr(field, "source_id", "") or "").strip() != source_id:
+                    untouched += 1
+                    continue
+                if bool(getattr(field, "is_locked", False)) or getattr(field, "provenance", None) == FieldProvenance.MANUAL_OVERRIDE:
+                    preserved_locked += 1
+                    continue
+
+                field.source_version = source_version
+                field.needs_review = True
+                field.has_conflict = bool(getattr(field, "has_conflict", False))
+                propagated += 1
+
+            logger.reflect(
+                "Semantic source version propagation completed",
+                extra={
+                    "source_id": source_id,
+                    "source_version": source_version,
+                    "propagated": propagated,
+                    "preserved_locked": preserved_locked,
+                    "untouched": untouched,
+                },
+            )
+            return {
+                "propagated": propagated,
+                "preserved_locked": preserved_locked,
+                "untouched": untouched,
+            }
+    # [/DEF:SemanticSourceResolver.propagate_source_version_update:Function]
+
     # [DEF:SemanticSourceResolver._normalize_dictionary_row:Function]
     # @COMPLEXITY: 2
     # @PURPOSE: Normalize one dictionary row into a consistent lookup structure.

backend/tests/services/dataset_review/test_superset_matrix.py

@@ -0,0 +1,126 @@
+# [DEF:SupersetCompatibilityMatrixTests:Module]
+# @COMPLEXITY: 3
+# @SEMANTICS: dataset_review, superset, compatibility_matrix, preview, sql_lab, tests
+# @PURPOSE: Verifies Superset preview and SQL Lab endpoint fallback strategy used by dataset-review orchestration.
+# @LAYER: Tests
+# @RELATION: [DEPENDS_ON] ->[SupersetCompilationAdapter]
+# @RELATION: [DEPENDS_ON] ->[SupersetClient]
+
+from types import SimpleNamespace
+from unittest.mock import MagicMock
+
+from src.core.utils.superset_compilation_adapter import (
+    PreviewCompilationPayload,
+    SqlLabLaunchPayload,
+    SupersetCompilationAdapter,
+)
+
+
+# [DEF:make_adapter:Function]
+# @COMPLEXITY: 2
+# @PURPOSE: Build an adapter with a mock Superset client and deterministic environment for compatibility tests.
+def make_adapter():
+    environment = SimpleNamespace(
+        id="env-1",
+        name="Test Env",
+        url="http://superset.example",
+        username="user",
+        password="pass",
+        verify_ssl=True,
+        timeout=30,
+    )
+    client = MagicMock()
+    client.network = MagicMock()
+    return SupersetCompilationAdapter(environment=environment, client=client), client
+# [/DEF:make_adapter:Function]
+
+
+# [DEF:test_preview_prefers_supported_client_method_before_network_fallback:Function]
+# @COMPLEXITY: 2
+# @PURPOSE: Confirms preview compilation uses a supported client method first when the capability exists.
+def test_preview_prefers_supported_client_method_before_network_fallback():
+    adapter, client = make_adapter()
+    client.compile_preview = MagicMock(return_value={"compiled_sql": "SELECT 1"})
+    payload = PreviewCompilationPayload(
+        session_id="sess-1",
+        dataset_id=42,
+        preview_fingerprint="fp-1",
+        template_params={"country": "RU"},
+        effective_filters=[{"name": "country", "value": "RU"}],
+    )
+
+    preview = adapter.compile_preview(payload)
+
+    assert preview.preview_status.value == "ready"
+    assert preview.compiled_sql == "SELECT 1"
+    client.compile_preview.assert_called_once()
+    client.network.request.assert_not_called()
+# [/DEF:test_preview_prefers_supported_client_method_before_network_fallback:Function]
+
+
+# [DEF:test_preview_falls_back_across_matrix_until_supported_endpoint_returns_sql:Function]
+# @COMPLEXITY: 3
+# @PURPOSE: Confirms preview fallback walks the compatibility matrix from preferred to legacy endpoints until one returns compiled SQL.
+def test_preview_falls_back_across_matrix_until_supported_endpoint_returns_sql():
+    adapter, client = make_adapter()
+    payload = PreviewCompilationPayload(
+        session_id="sess-2",
+        dataset_id=77,
+        preview_fingerprint="fp-2",
+        template_params={"region": "emea"},
+        effective_filters=[],
+    )
+
+    client.network.request.side_effect = [
+        RuntimeError("preview endpoint unavailable"),
+        {"result": {"sql": "SELECT * FROM dataset_77"}},
+    ]
+
+    preview = adapter.compile_preview(payload)
+
+    assert preview.preview_status.value == "ready"
+    assert preview.compiled_sql == "SELECT * FROM dataset_77"
+    assert client.network.request.call_count == 2
+    first_call = client.network.request.call_args_list[0].kwargs
+    second_call = client.network.request.call_args_list[1].kwargs
+    assert first_call["endpoint"] == "/dataset/77/preview"
+    assert second_call["endpoint"] == "/dataset/77/sql"
+# [/DEF:test_preview_falls_back_across_matrix_until_supported_endpoint_returns_sql:Function]
+
+
+# [DEF:test_sql_lab_launch_falls_back_to_legacy_execute_endpoint:Function]
+# @COMPLEXITY: 3
+# @PURPOSE: Confirms SQL Lab launch falls back from modern to legacy execute endpoint and preserves canonical session reference extraction.
+def test_sql_lab_launch_falls_back_to_legacy_execute_endpoint():
+    adapter, client = make_adapter()
+    client.get_dataset.return_value = {
+        "result": {
+            "id": 55,
+            "schema": "public",
+            "database": {"id": 9},
+        }
+    }
+    client.network.request.side_effect = [
+        RuntimeError("sqllab execute unavailable"),
+        {"result": {"id": "query-123"}},
+    ]
+    payload = SqlLabLaunchPayload(
+        session_id="sess-3",
+        dataset_id=55,
+        preview_id="preview-9",
+        compiled_sql="SELECT * FROM sales",
+        template_params={"limit": 10},
+    )
+
+    sql_lab_ref = adapter.create_sql_lab_session(payload)
+
+    assert sql_lab_ref == "query-123"
+    assert client.network.request.call_count == 2
+    first_call = client.network.request.call_args_list[0].kwargs
+    second_call = client.network.request.call_args_list[1].kwargs
+    assert first_call["endpoint"] == "/sqllab/execute/"
+    assert second_call["endpoint"] == "/sql_lab/execute/"
+# [/DEF:test_sql_lab_launch_falls_back_to_legacy_execute_endpoint:Function]
+
+
+# [/DEF:SupersetCompatibilityMatrixTests:Module]

frontend/src/lib/components/dataset-review/ClarificationDialog.svelte

@@ -0,0 +1,472 @@
+<!-- [DEF:ClarificationDialog:Component] -->
+<!-- @COMPLEXITY: 4 -->
+<!-- @SEMANTICS: dataset-review, clarification, single-question, resumable, expert-review -->
+<!-- @PURPOSE: Present one clarification question at a time with explicit why-it-matters context, answer actions, and resumable state transitions for US2. -->
+<!-- @LAYER: UI -->
+<!-- @RELATION: [BINDS_TO] ->[api_module] -->
+<!-- @RELATION: [BINDS_TO] ->[assistantChat] -->
+<!-- @RELATION: [BINDS_TO] ->[DatasetReviewWorkspace] -->
+<!-- @PRE: Session id is available and clarification state payload belongs to the current ownership-scoped session. -->
+<!-- @POST: Users can answer, skip, or route to expert review while the UI keeps only the active clarification question visible and preserves resumable progress. -->
+<!-- @SIDE_EFFECT: Persists clarification answers and may resume clarification state from dataset orchestration APIs. -->
+<!-- @UX_STATE: Question -> Active clarification question with options and current guess is visible. -->
+<!-- @UX_STATE: Saving -> Answer controls are disabled while one mutation is in flight. -->
+<!-- @UX_STATE: Completed -> No active question remains and resumable clarification summary stays visible. -->
+<!-- @UX_FEEDBACK: Save results and changed findings surface inline without hiding the active or completed state. -->
+<!-- @UX_RECOVERY: Users can resume clarification after interruption, skip uncertain questions, or open assistant guidance before escalating to expert review. -->
+<!-- @UX_REACTIVITY: Uses $props, $state, and $derived only; no legacy reactive syntax. -->
+<script>
+  import { t } from "$lib/i18n";
+  import { requestApi } from "$lib/api.js";
+  import { openAssistantChat } from "$lib/stores/assistantChat.js";
+
+  let {
+    sessionId = "",
+    clarificationState = null,
+    disabled = false,
+    onupdated = () => {},
+  } = $props();
+
+  let selectedOptionValue = $state("");
+  let customAnswerValue = $state("");
+  let localMessage = $state("");
+  let localStatus = $state("");
+  let isSaving = $state(false);
+  let lastQuestionId = $state("");
+  let feedbackQuestionId = $state("");
+  let feedbackQuestionText = $state("");
+  let feedbackSaving = $state("");
+
+  const clarificationSession = $derived(clarificationState?.clarification_session || null);
+  const currentQuestion = $derived(clarificationState?.current_question || null);
+  const dialogState = $derived(
+    isSaving ? "Saving" : currentQuestion ? "Question" : "Completed",
+  );
+  const hasQuestion = $derived(Boolean(currentQuestion?.question_id));
+  const progressLabel = $derived(
+    clarificationSession
+      ? `${clarificationSession.resolved_count} / ${
+          clarificationSession.resolved_count + clarificationSession.remaining_count
+        }`
+      : "0 / 0",
+  );
+
+  $effect(() => {
+    const questionId = currentQuestion?.question_id || "";
+    if (questionId === lastQuestionId) {
+      return;
+    }
+    lastQuestionId = questionId;
+
+    if (!questionId) {
+      selectedOptionValue = "";
+      customAnswerValue = "";
+      return;
+    }
+
+    const recommendedOption = (currentQuestion?.options || []).find(
+      (option) => option.is_recommended,
+    );
+    selectedOptionValue = recommendedOption?.value || "";
+    customAnswerValue = "";
+  });
+
+  function clearFeedback() {
+    localMessage = "";
+    localStatus = "";
+  }
+
+  function normalizeAnswerValue(answerKind) {
+    if (answerKind === "selected") {
+      return selectedOptionValue || null;
+    }
+    if (answerKind === "custom") {
+      return customAnswerValue.trim() || null;
+    }
+    return null;
+  }
+
+  async function recordClarificationFeedback(feedback) {
+    if (!sessionId || !feedbackQuestionId || isSaving || feedbackSaving) {
+      return;
+    }
+
+    feedbackSaving = feedback;
+    localStatus = "saving";
+    localMessage = "";
+
+    try {
+      await requestApi(
+        `/dataset-orchestration/sessions/${sessionId}/clarification/questions/${feedbackQuestionId}/feedback`,
+        "POST",
+        { feedback },
+      );
+      localStatus = "success";
+      localMessage =
+        feedback === "up"
+          ? $t.dataset_review?.clarification?.messages?.feedback_up
+          : $t.dataset_review?.clarification?.messages?.feedback_down;
+    } catch (error) {
+      localStatus = "error";
+      localMessage =
+        error?.message ||
+        $t.dataset_review?.clarification?.messages?.feedback_failed ||
+        $t.common?.error;
+    } finally {
+      feedbackSaving = "";
+    }
+  }
+
+  async function resumeClarification() {
+    if (!sessionId || isSaving) {
+      return;
+    }
+
+    isSaving = true;
+    localStatus = "saving";
+    localMessage = "";
+
+    try {
+      const nextState = await requestApi(
+        `/dataset-orchestration/sessions/${sessionId}/clarification/resume`,
+        "POST",
+      );
+      localStatus = "success";
+      localMessage = $t.dataset_review?.clarification?.messages?.resumed;
+      onupdated(nextState);
+    } catch (error) {
+      localStatus = "error";
+      localMessage =
+        error?.message ||
+        $t.dataset_review?.clarification?.messages?.resume_failed ||
+        $t.common?.error;
+    } finally {
+      isSaving = false;
+    }
+  }
+
+  async function submitAnswer(answerKind) {
+    if (!sessionId || !currentQuestion?.question_id || isSaving) {
+      return;
+    }
+
+    const answerValue = normalizeAnswerValue(answerKind);
+
+    if (answerKind === "selected" && !answerValue) {
+      localStatus = "error";
+      localMessage = $t.dataset_review?.clarification?.messages?.option_required;
+      return;
+    }
+
+    if (answerKind === "custom" && !answerValue) {
+      localStatus = "error";
+      localMessage = $t.dataset_review?.clarification?.messages?.custom_required;
+      return;
+    }
+
+    isSaving = true;
+    localStatus = "saving";
+    localMessage = "";
+
+    try {
+      const answeredQuestionId = currentQuestion.question_id;
+      const answeredQuestionText = currentQuestion.question_text;
+      const result = await requestApi(
+        `/dataset-orchestration/sessions/${sessionId}/clarification/answers`,
+        "POST",
+        {
+          question_id: answeredQuestionId,
+          answer_kind: answerKind,
+          answer_value: answerValue,
+        },
+      );
+
+      feedbackQuestionId = answeredQuestionId;
+      feedbackQuestionText = answeredQuestionText;
+      localStatus = "success";
+      if (answerKind === "skipped") {
+        localMessage = $t.dataset_review?.clarification?.messages?.skipped;
+      } else if (answerKind === "expert_review") {
+        localMessage =
+          $t.dataset_review?.clarification?.messages?.expert_review_requested;
+      } else {
+        localMessage = $t.dataset_review?.clarification?.messages?.saved;
+      }
+
+      onupdated(result);
+    } catch (error) {
+      localStatus = "error";
+      localMessage =
+        error?.message ||
+        $t.dataset_review?.clarification?.messages?.save_failed ||
+        $t.common?.error;
+    } finally {
+      isSaving = false;
+    }
+  }
+
+  function requestAssistantGuidance() {
+    openAssistantChat();
+    localStatus = "success";
+    localMessage = $t.dataset_review?.clarification?.messages?.assistant_opened;
+  }
+</script>
+
+<section id="clarification" class="rounded-2xl border border-slate-200 bg-white p-5 shadow-sm">
+  <div class="flex flex-col gap-3 md:flex-row md:items-start md:justify-between">
+    <div>
+      <p class="text-xs font-semibold uppercase tracking-wide text-slate-500">
+        {$t.dataset_review?.clarification?.eyebrow}
+      </p>
+      <h2 class="text-xl font-semibold text-slate-900">
+        {$t.dataset_review?.clarification?.title}
+      </h2>
+      <p class="mt-1 max-w-3xl text-sm text-slate-600">
+        {$t.dataset_review?.clarification?.description}
+      </p>
+    </div>
+
+    <div class="rounded-xl border border-slate-200 bg-slate-50 px-3 py-2 text-right">
+      <div class="text-xs uppercase tracking-wide text-slate-500">
+        {$t.dataset_review?.clarification?.progress_label}
+      </div>
+      <div class="mt-1 text-sm font-medium text-slate-900">{progressLabel}</div>
+      <div class="mt-1 text-xs text-slate-500">
+        {$t.dataset_review?.clarification?.state_label}: {dialogState}
+      </div>
+    </div>
+  </div>
+
+  {#if clarificationSession}
+    <div class="mt-4 flex flex-wrap gap-2 text-xs text-slate-600">
+      <span class="rounded-full bg-slate-100 px-2 py-1">
+        {$t.dataset_review?.clarification?.status_label}: {clarificationSession.status}
+      </span>
+      <span class="rounded-full bg-slate-100 px-2 py-1">
+        {$t.dataset_review?.clarification?.remaining_label}: {clarificationSession.remaining_count}
+      </span>
+      {#if clarificationSession.summary_delta}
+        <span class="rounded-full bg-slate-100 px-2 py-1">
+          {$t.dataset_review?.clarification?.summary_delta_label}:
+          {clarificationSession.summary_delta}
+        </span>
+      {/if}
+    </div>
+  {/if}
+
+  {#if hasQuestion}
+    <article class="mt-5 rounded-2xl border border-violet-200 bg-violet-50 p-4">
+      <div class="flex flex-col gap-4 lg:flex-row lg:items-start lg:justify-between">
+        <div class="min-w-0 flex-1">
+          <p class="text-xs font-semibold uppercase tracking-wide text-violet-700">
+            {$t.dataset_review?.clarification?.active_question_label}
+          </p>
+          <h3 class="mt-1 text-lg font-semibold text-slate-900">
+            {currentQuestion.question_text}
+          </h3>
+
+          <div class="mt-3 rounded-xl border border-white/70 bg-white/80 p-3">
+            <div class="text-xs uppercase tracking-wide text-slate-500">
+              {$t.dataset_review?.clarification?.why_it_matters_label}
+            </div>
+            <p class="mt-1 text-sm text-slate-700">{currentQuestion.why_it_matters}</p>
+          </div>
+
+          <div class="mt-3 grid gap-3 md:grid-cols-2">
+            <div class="rounded-xl border border-white/70 bg-white/80 p-3">
+              <div class="text-xs uppercase tracking-wide text-slate-500">
+                {$t.dataset_review?.clarification?.current_guess_label}
+              </div>
+              <p class="mt-1 text-sm text-slate-700">
+                {currentQuestion.current_guess ||
+                  $t.dataset_review?.clarification?.current_guess_empty}
+              </p>
+            </div>
+
+            <div class="rounded-xl border border-white/70 bg-white/80 p-3">
+              <div class="text-xs uppercase tracking-wide text-slate-500">
+                {$t.dataset_review?.clarification?.topic_label}
+              </div>
+              <p class="mt-1 text-sm text-slate-700">{currentQuestion.topic_ref}</p>
+            </div>
+          </div>
+
+          <div class="mt-4">
+            <h4 class="text-sm font-semibold text-slate-900">
+              {$t.dataset_review?.clarification?.options_title}
+            </h4>
+
+            <div class="mt-3 space-y-2">
+              {#each currentQuestion.options || [] as option}
+                <label
+                  class={`flex cursor-pointer items-start gap-3 rounded-xl border p-3 transition ${
+                    selectedOptionValue === option.value
+                      ? "border-violet-300 bg-white text-slate-900"
+                      : "border-white/70 bg-white/80 text-slate-700"
+                  }`}
+                >
+                  <input
+                    type="radio"
+                    name="clarification-option"
+                    value={option.value}
+                    checked={selectedOptionValue === option.value}
+                    onchange={() => {
+                      selectedOptionValue = option.value;
+                      clearFeedback();
+                    }}
+                    disabled={disabled || isSaving}
+                  />
+                  <div class="min-w-0 flex-1">
+                    <div class="flex flex-wrap items-center gap-2">
+                      <span class="text-sm font-medium">{option.label}</span>
+                      {#if option.is_recommended}
+                        <span class="rounded-full bg-violet-100 px-2 py-0.5 text-xs text-violet-700">
+                          {$t.dataset_review?.clarification?.recommended_badge}
+                        </span>
+                      {/if}
+                    </div>
+                    <div class="mt-1 text-xs text-slate-500">{option.value}</div>
+                  </div>
+                </label>
+              {/each}
+            </div>
+          </div>
+
+          <label class="mt-4 block space-y-2">
+            <span class="text-sm font-medium text-slate-700">
+              {$t.dataset_review?.clarification?.custom_answer_label}
+            </span>
+            <textarea
+              class="min-h-24 w-full rounded-xl border border-slate-300 bg-white px-3 py-2 text-sm text-slate-900 shadow-sm outline-none transition focus:border-violet-500 focus:ring-2 focus:ring-violet-200"
+              bind:value={customAnswerValue}
+              disabled={disabled || isSaving}
+            ></textarea>
+          </label>
+        </div>
+
+        <div class="flex shrink-0 flex-wrap gap-2 lg:w-56 lg:flex-col">
+          <button
+            type="button"
+            class="inline-flex items-center justify-center rounded-xl bg-violet-600 px-4 py-2 text-sm font-medium text-white transition hover:bg-violet-700 disabled:cursor-not-allowed disabled:bg-slate-300"
+            onclick={() => submitAnswer("selected")}
+            disabled={disabled || isSaving}
+          >
+            {$t.dataset_review?.clarification?.answer_action}
+          </button>
+
+          <button
+            type="button"
+            class="inline-flex items-center justify-center rounded-xl border border-slate-300 px-4 py-2 text-sm font-medium text-slate-700 transition hover:bg-slate-50 disabled:cursor-not-allowed disabled:opacity-50"
+            onclick={() => submitAnswer("custom")}
+            disabled={disabled || isSaving}
+          >
+            {$t.dataset_review?.clarification?.custom_answer_action}
+          </button>
+
+          <button
+            type="button"
+            class="inline-flex items-center justify-center rounded-xl border border-slate-300 px-4 py-2 text-sm font-medium text-slate-700 transition hover:bg-slate-50 disabled:cursor-not-allowed disabled:opacity-50"
+            onclick={() => submitAnswer("skipped")}
+            disabled={disabled || isSaving}
+          >
+            {$t.dataset_review?.clarification?.skip_action}
+          </button>
+
+          <button
+            type="button"
+            class="inline-flex items-center justify-center rounded-xl border border-slate-300 px-4 py-2 text-sm font-medium text-slate-700 transition hover:bg-slate-50 disabled:cursor-not-allowed disabled:opacity-50"
+            onclick={() => requestAssistantGuidance()}
+            disabled={disabled || isSaving}
+          >
+            {$t.dataset_review?.clarification?.assistant_action}
+          </button>
+
+          <button
+            type="button"
+            class="inline-flex items-center justify-center rounded-xl border border-amber-300 px-4 py-2 text-sm font-medium text-amber-800 transition hover:bg-amber-50 disabled:cursor-not-allowed disabled:opacity-50"
+            onclick={() => submitAnswer("expert_review")}
+            disabled={disabled || isSaving}
+          >
+            {$t.dataset_review?.clarification?.expert_review_action}
+          </button>
+        </div>
+      </div>
+    </article>
+  {:else}
+    <div class="mt-5 rounded-xl border border-emerald-200 bg-emerald-50 px-4 py-4 text-sm text-emerald-800">
+      {$t.dataset_review?.clarification?.completed}
+    </div>
+
+    <div class="mt-4 flex flex-wrap gap-2">
+      <button
+        type="button"
+        class="inline-flex items-center justify-center rounded-xl border border-slate-300 px-4 py-2 text-sm font-medium text-slate-700 transition hover:bg-slate-50 disabled:cursor-not-allowed disabled:opacity-50"
+        onclick={resumeClarification}
+        disabled={disabled || isSaving}
+      >
+        {$t.dataset_review?.clarification?.resume_action}
+      </button>
+
+      <button
+        type="button"
+        class="inline-flex items-center justify-center rounded-xl border border-slate-300 px-4 py-2 text-sm font-medium text-slate-700 transition hover:bg-slate-50 disabled:cursor-not-allowed disabled:opacity-50"
+        onclick={() => requestAssistantGuidance()}
+        disabled={isSaving}
+      >
+        {$t.dataset_review?.clarification?.assistant_action}
+      </button>
+    </div>
+  {/if}
+
+  {#if feedbackQuestionId}
+    <div class="mt-4 rounded-xl border border-slate-200 bg-slate-50 p-4">
+      <div class="flex flex-col gap-3 md:flex-row md:items-center md:justify-between">
+        <div>
+          <div class="text-xs uppercase tracking-wide text-slate-500">
+            {$t.dataset_review?.clarification?.feedback_label}
+          </div>
+          <p class="mt-1 text-sm text-slate-700">
+            {feedbackQuestionText ||
+              $t.dataset_review?.clarification?.feedback_prompt}
+          </p>
+        </div>
+        <div class="grid grid-cols-2 gap-2">
+          <button
+            type="button"
+            class="inline-flex items-center justify-center rounded-xl border border-slate-300 px-3 py-2 text-sm font-medium text-slate-700 transition hover:bg-slate-50 disabled:cursor-not-allowed disabled:opacity-50"
+            onclick={() => recordClarificationFeedback("up")}
+            disabled={disabled || isSaving || Boolean(feedbackSaving)}
+          >
+            {$t.dataset_review?.clarification?.feedback_up_action}
+          </button>
+          <button
+            type="button"
+            class="inline-flex items-center justify-center rounded-xl border border-slate-300 px-3 py-2 text-sm font-medium text-slate-700 transition hover:bg-slate-50 disabled:cursor-not-allowed disabled:opacity-50"
+            onclick={() => recordClarificationFeedback("down")}
+            disabled={disabled || isSaving || Boolean(feedbackSaving)}
+          >
+            {$t.dataset_review?.clarification?.feedback_down_action}
+          </button>
+        </div>
+      </div>
+    </div>
+  {/if}
+
+  {#if localMessage || localStatus === "saving"}
+    <div
+      class={`mt-4 rounded-xl px-3 py-3 text-sm ${
+        localStatus === "error"
+          ? "border border-red-200 bg-red-50 text-red-700"
+          : localStatus === "saving"
+            ? "border border-violet-200 bg-violet-50 text-violet-700"
+            : "border border-emerald-200 bg-emerald-50 text-emerald-800"
+      }`}
+    >
+      {localStatus === "saving"
+        ? $t.dataset_review?.clarification?.messages?.saving
+        : localMessage}
+    </div>
+  {/if}
+</section>
+
+<!-- [/DEF:ClarificationDialog:Component] -->

frontend/src/lib/components/dataset-review/CompiledSQLPreview.svelte

@@ -0,0 +1,247 @@
+<!-- [DEF:CompiledSQLPreview:Component] -->
+<!-- @COMPLEXITY: 4 -->
+<!-- @SEMANTICS: dataset-review, compiled-sql-preview, superset-preview, stale-state, diagnostics -->
+<!-- @PURPOSE: Present the exact Superset-generated compiled SQL preview, expose readiness or staleness clearly, and preserve readable recovery paths when preview generation fails. -->
+<!-- @LAYER: UI -->
+<!-- @RELATION: [BINDS_TO] ->[api_module] -->
+<!-- @RELATION: [BINDS_TO] ->[DatasetReviewWorkspace] -->
+<!-- @PRE: Session id is available and preview state comes from the current ownership-scoped session detail payload. -->
+<!-- @POST: Users can distinguish missing, pending, ready, stale, and error preview states and can trigger only Superset-backed preview generation. -->
+<!-- @SIDE_EFFECT: Requests preview generation through dataset orchestration APIs and updates route shell preview state when Superset responds. -->
+<!-- @UX_STATE: Missing -> Prompt the user to generate a Superset preview before launch. -->
+<!-- @UX_STATE: Pending -> Show generation-in-progress feedback without fabricating SQL. -->
+<!-- @UX_STATE: Ready -> Render read-only SQL preview that is explicitly labeled as compiled by Superset. -->
+<!-- @UX_STATE: Stale -> Mark the existing preview as outdated after mapping/input changes until regenerated. -->
+<!-- @UX_STATE: Error -> Show readable Superset compilation diagnostics and preserve remediation action. -->
+<!-- @UX_FEEDBACK: Preview refresh updates status pill, timestamps, and inline generation feedback. -->
+<!-- @UX_RECOVERY: Users can retry preview generation and jump back to mapping review when diagnostics point to execution-input issues. -->
+<!-- @UX_REACTIVITY: Uses $props, $state, and $derived only; no legacy reactive syntax. -->
+<script>
+  import { t } from "$lib/i18n";
+  import { requestApi } from "$lib/api.js";
+
+  let {
+    sessionId = "",
+    preview = null,
+    previewState = "",
+    disabled = false,
+    onupdated = () => {},
+    onjump = () => {},
+  } = $props();
+
+  let localStatus = $state("");
+  let localMessage = $state("");
+
+  const effectiveState = $derived(resolvePreviewState());
+  const compiledBySuperset = $derived(String(preview?.compiled_by || "") === "superset");
+  const hasSql = $derived(Boolean(String(preview?.compiled_sql || "").trim()));
+  const previewTimestamp = $derived(preview?.compiled_at || preview?.created_at || "");
+
+  function resolvePreviewState() {
+    const explicit = String(previewState || "").trim();
+    if (explicit) {
+      return explicit;
+    }
+
+    const status = String(preview?.preview_status || "").trim();
+    if (status === "ready" || status === "pending" || status === "failed" || status === "stale") {
+      return status;
+    }
+
+    if (preview?.error_code || preview?.error_details) {
+      return "failed";
+    }
+
+    return "missing";
+  }
+
+  function getStateLabel(state) {
+    return $t.dataset_review?.preview?.state?.[state] || state;
+  }
+
+  function getStateTone(state) {
+    if (state === "ready") {
+      return "bg-emerald-100 text-emerald-700";
+    }
+    if (state === "stale") {
+      return "bg-amber-100 text-amber-700";
+    }
+    if (state === "failed") {
+      return "bg-red-100 text-red-700";
+    }
+    if (state === "pending") {
+      return "bg-blue-100 text-blue-700";
+    }
+    return "bg-slate-100 text-slate-700";
+  }
+
+  function getCompilerLabel() {
+    if (compiledBySuperset) {
+      return $t.dataset_review?.preview?.compiled_by_superset;
+    }
+    return $t.dataset_review?.preview?.compiled_source_unknown;
+  }
+
+  function getPreviewBodyText() {
+    if (effectiveState === "pending") {
+      return $t.dataset_review?.preview?.pending_body;
+    }
+    if (effectiveState === "stale") {
+      return $t.dataset_review?.preview?.stale_body;
+    }
+    if (effectiveState === "failed") {
+      return (
+        preview?.error_details ||
+        preview?.error_code ||
+        $t.dataset_review?.preview?.error_body
+      );
+    }
+    if (effectiveState === "missing") {
+      return $t.dataset_review?.preview?.missing_body;
+    }
+    return $t.dataset_review?.preview?.ready_body;
+  }
+
+  async function requestPreview() {
+    if (!sessionId || disabled || localStatus === "saving") {
+      return;
+    }
+
+    localStatus = "saving";
+    localMessage = "";
+
+    try {
+      const response = await requestApi(
+        `/dataset-orchestration/sessions/${sessionId}/preview`,
+        "POST",
+      );
+      const nextPreview = response?.preview || response;
+      onupdated({
+        preview: nextPreview,
+        preview_state: nextPreview?.preview_status || response?.preview_status || "pending",
+      });
+      localStatus = "success";
+      localMessage = $t.dataset_review?.preview?.messages?.generated;
+    } catch (error) {
+      localStatus = "error";
+      localMessage =
+        error?.message ||
+        $t.dataset_review?.preview?.messages?.generate_failed ||
+        $t.common?.error;
+    }
+  }
+
+  function jumpToMapping() {
+    onjump({ target: "mapping" });
+  }
+</script>
+
+<section id="sql-preview" class="rounded-2xl border border-slate-200 bg-white p-5 shadow-sm">
+  <div class="flex flex-col gap-3 md:flex-row md:items-start md:justify-between">
+    <div>
+      <p class="text-xs font-semibold uppercase tracking-wide text-slate-500">
+        {$t.dataset_review?.preview?.eyebrow}
+      </p>
+      <h2 class="text-xl font-semibold text-slate-900">
+        {$t.dataset_review?.preview?.title}
+      </h2>
+      <p class="mt-1 max-w-3xl text-sm text-slate-600">
+        {$t.dataset_review?.preview?.description}
+      </p>
+    </div>
+
+    <div class="flex flex-wrap items-center gap-2">
+      <span class={`rounded-full px-3 py-1 text-xs font-medium ${getStateTone(effectiveState)}`}>
+        {$t.dataset_review?.preview?.state_label}: {getStateLabel(effectiveState)}
+      </span>
+      <button
+        type="button"
+        class="inline-flex items-center justify-center rounded-xl bg-blue-600 px-4 py-2 text-sm font-medium text-white transition hover:bg-blue-700 disabled:cursor-not-allowed disabled:bg-slate-300"
+        onclick={requestPreview}
+        disabled={disabled || localStatus === "saving"}
+      >
+        {localStatus === "saving"
+          ? $t.dataset_review?.preview?.generate_loading
+          : $t.dataset_review?.preview?.generate_action}
+      </button>
+    </div>
+  </div>
+
+  <div
+    class={`mt-5 rounded-xl border px-4 py-4 text-sm ${
+      effectiveState === "failed"
+        ? "border-red-200 bg-red-50 text-red-700"
+        : effectiveState === "stale"
+          ? "border-amber-200 bg-amber-50 text-amber-800"
+          : effectiveState === "pending"
+            ? "border-blue-200 bg-blue-50 text-blue-700"
+            : "border-slate-200 bg-slate-50 text-slate-700"
+    }`}
+  >
+    {getPreviewBodyText()}
+  </div>
+
+  {#if preview}
+    <div class="mt-4 flex flex-wrap gap-2 text-xs text-slate-600">
+      <span class="rounded-full bg-slate-100 px-2 py-1">
+        {$t.dataset_review?.preview?.compiler_label}: {getCompilerLabel()}
+      </span>
+      <span class="rounded-full bg-slate-100 px-2 py-1">
+        {$t.dataset_review?.preview?.fingerprint_label}: {preview.preview_fingerprint}
+      </span>
+      {#if previewTimestamp}
+        <span class="rounded-full bg-slate-100 px-2 py-1">
+          {$t.dataset_review?.preview?.compiled_at_label}: {previewTimestamp}
+        </span>
+      {/if}
+    </div>
+  {/if}
+
+  {#if effectiveState === "ready" && hasSql}
+    <div class="mt-5 overflow-hidden rounded-2xl border border-slate-200 bg-slate-950">
+      <div class="flex items-center justify-between border-b border-slate-800 px-4 py-3">
+        <div class="text-sm font-medium text-slate-100">
+          {$t.dataset_review?.preview?.sql_block_title}
+        </div>
+        <div class="text-xs text-slate-400">
+          {$t.dataset_review?.preview?.compiled_truth_note}
+        </div>
+      </div>
+      <pre class="overflow-x-auto px-4 py-4 text-sm leading-6 text-slate-100"><code>{preview.compiled_sql}</code></pre>
+    </div>
+  {:else if effectiveState === "failed"}
+    <div class="mt-5 flex flex-wrap gap-2">
+      <button
+        type="button"
+        class="inline-flex items-center justify-center rounded-xl border border-slate-300 px-4 py-2 text-sm font-medium text-slate-700 transition hover:bg-slate-50"
+        onclick={jumpToMapping}
+      >
+        {$t.dataset_review?.preview?.go_to_mapping_action}
+      </button>
+    </div>
+  {:else if effectiveState === "stale"}
+    <div class="mt-5 flex flex-wrap gap-2">
+      <button
+        type="button"
+        class="inline-flex items-center justify-center rounded-xl border border-slate-300 px-4 py-2 text-sm font-medium text-slate-700 transition hover:bg-slate-50"
+        onclick={jumpToMapping}
+      >
+        {$t.dataset_review?.preview?.review_inputs_action}
+      </button>
+    </div>
+  {/if}
+
+  {#if localMessage}
+    <div
+      class={`mt-4 rounded-xl px-3 py-3 text-sm ${
+        localStatus === "error"
+          ? "border border-red-200 bg-red-50 text-red-700"
+          : "border border-emerald-200 bg-emerald-50 text-emerald-800"
+      }`}
+    >
+      {localMessage}
+    </div>
+  {/if}
+</section>
+
+<!-- [/DEF:CompiledSQLPreview:Component] -->

frontend/src/lib/components/dataset-review/ExecutionMappingReview.svelte

@@ -0,0 +1,578 @@
+<!-- [DEF:ExecutionMappingReview:Component] -->
+<!-- @COMPLEXITY: 4 -->
+<!-- @SEMANTICS: dataset-review, execution-mapping, warning-approval, manual-override, required-values -->
+<!-- @PURPOSE: Review imported-filter to template-variable mappings, surface effective values and blockers, and require explicit approval for warning-sensitive execution inputs before preview or launch. -->
+<!-- @LAYER: UI -->
+<!-- @RELATION: [BINDS_TO] ->[api_module] -->
+<!-- @RELATION: [BINDS_TO] ->[DatasetReviewWorkspace] -->
+<!-- @PRE: Session id, execution mappings, imported filters, and template variables belong to the current ownership-scoped session payload. -->
+<!-- @POST: Users can review effective mapping values, approve warning-sensitive transformations, or manually override them while unresolved required-value blockers remain visible. -->
+<!-- @SIDE_EFFECT: Persists mapping approvals or manual overrides through dataset orchestration APIs and may invalidate the current preview truth for the route shell. -->
+<!-- @UX_STATE: Incomplete -> Required mapping values remain missing and blockers stay visible. -->
+<!-- @UX_STATE: WarningApproval -> Mapping rows with transformation risk require explicit approval before execution can proceed. -->
+<!-- @UX_STATE: Approved -> All launch-sensitive mappings are approved or no explicit approval is required. -->
+<!-- @UX_FEEDBACK: Mapping approvals and manual overrides expose inline success, saving, and error feedback per row. -->
+<!-- @UX_RECOVERY: Users can replace transformed values manually instead of approving them as-is and can retry failed mutations in place. -->
+<!-- @UX_REACTIVITY: Uses $props, $state, and $derived only; no legacy reactive syntax. -->
+<script>
+  import { t } from "$lib/i18n";
+  import { requestApi } from "$lib/api.js";
+
+  let {
+    sessionId = "",
+    mappings = [],
+    importedFilters = [],
+    templateVariables = [],
+    disabled = false,
+    onupdated = () => {},
+  } = $props();
+
+  let editingMappingId = $state("");
+  let overrideValueDraft = $state("");
+  let overrideNoteDraft = $state("");
+  let savingMappingId = $state("");
+  let batchSaving = $state(false);
+  let rowMessages = $state({});
+
+  const filterLookup = $derived(
+    Object.fromEntries((importedFilters || []).map((item) => [item.filter_id, item])),
+  );
+  const variableLookup = $derived(
+    Object.fromEntries((templateVariables || []).map((item) => [item.variable_id, item])),
+  );
+
+  const sortedMappings = $derived(
+    [...(mappings || [])].sort((left, right) => {
+      const leftVariable = variableLookup[left.variable_id];
+      const rightVariable = variableLookup[right.variable_id];
+      const leftRequired = Number(Boolean(leftVariable?.is_required));
+      const rightRequired = Number(Boolean(rightVariable?.is_required));
+      if (leftRequired !== rightRequired) {
+        return rightRequired - leftRequired;
+      }
+
+      const leftNeedsApproval = Number(
+        Boolean(left.requires_explicit_approval && left.approval_state !== "approved"),
+      );
+      const rightNeedsApproval = Number(
+        Boolean(right.requires_explicit_approval && right.approval_state !== "approved"),
+      );
+      if (leftNeedsApproval !== rightNeedsApproval) {
+        return rightNeedsApproval - leftNeedsApproval;
+      }
+
+      return String(leftVariable?.variable_name || left.variable_id || "").localeCompare(
+        String(rightVariable?.variable_name || right.variable_id || ""),
+      );
+    }),
+  );
+
+  const missingRequiredCount = $derived(
+    sortedMappings.filter((mapping) => getRowState(mapping).missingRequiredValue).length,
+  );
+  const pendingApprovalCount = $derived(
+    sortedMappings.filter((mapping) => getRowState(mapping).needsExplicitApproval).length,
+  );
+  const reviewState = $derived(
+    missingRequiredCount > 0
+      ? "Incomplete"
+      : pendingApprovalCount > 0
+        ? "WarningApproval"
+        : "Approved",
+  );
+
+  function setRowMessage(mappingId, patch) {
+    rowMessages = {
+      ...rowMessages,
+      [mappingId]: {
+        ...(rowMessages[mappingId] || {}),
+        ...patch,
+      },
+    };
+  }
+
+  function resetRowMessage(mappingId) {
+    rowMessages = {
+      ...rowMessages,
+      [mappingId]: { status: "", text: "" },
+    };
+  }
+
+  function getApprovalLabel(approvalState) {
+    const normalized = String(approvalState || "pending");
+    return $t.dataset_review?.mapping?.approval_state?.[normalized] || normalized;
+  }
+
+  function getWarningLabel(warningLevel) {
+    const normalized = String(warningLevel || "none");
+    return $t.dataset_review?.mapping?.warning_level?.[normalized] || normalized;
+  }
+
+  function getMethodLabel(method) {
+    const normalized = String(method || "direct_match");
+    return $t.dataset_review?.mapping?.method?.[normalized] || normalized;
+  }
+
+  function stringifyValue(value) {
+    if (value === null || value === undefined || value === "") {
+      return $t.common?.not_available || "N/A";
+    }
+    if (typeof value === "string") {
+      return value;
+    }
+    try {
+      return JSON.stringify(value);
+    } catch (_error) {
+      return String(value);
+    }
+  }
+
+  function getEffectiveValue(mapping) {
+    const importedFilter = filterLookup[mapping.filter_id];
+    const templateVariable = variableLookup[mapping.variable_id];
+
+    if (mapping.effective_value !== null && mapping.effective_value !== undefined) {
+      return mapping.effective_value;
+    }
+    if (importedFilter?.normalized_value !== null && importedFilter?.normalized_value !== undefined) {
+      return importedFilter.normalized_value;
+    }
+    if (importedFilter?.raw_value !== null && importedFilter?.raw_value !== undefined) {
+      return importedFilter.raw_value;
+    }
+    if (templateVariable?.default_value !== null && templateVariable?.default_value !== undefined) {
+      return templateVariable.default_value;
+    }
+    return null;
+  }
+
+  function getRowState(mapping) {
+    const templateVariable = variableLookup[mapping.variable_id];
+    const effectiveValue = getEffectiveValue(mapping);
+    const missingRequiredValue = Boolean(templateVariable?.is_required) && effectiveValue === null;
+    const needsExplicitApproval = Boolean(
+      mapping.requires_explicit_approval && mapping.approval_state !== "approved",
+    );
+    return {
+      templateVariable,
+      importedFilter: filterLookup[mapping.filter_id],
+      effectiveValue,
+      missingRequiredValue,
+      needsExplicitApproval,
+    };
+  }
+
+  function startManualOverride(mapping) {
+    const rowState = getRowState(mapping);
+    editingMappingId = mapping.mapping_id;
+    overrideValueDraft =
+      rowState.effectiveValue === null ? "" : stringifyValue(rowState.effectiveValue);
+    overrideNoteDraft = mapping.transformation_note || "";
+    resetRowMessage(mapping.mapping_id);
+  }
+
+  function cancelManualOverride(mappingId) {
+    if (editingMappingId !== mappingId) {
+      return;
+    }
+    editingMappingId = "";
+    overrideValueDraft = "";
+    overrideNoteDraft = "";
+    resetRowMessage(mappingId);
+  }
+
+  function normalizeOverrideValue() {
+    const trimmed = String(overrideValueDraft || "").trim();
+    if (!trimmed) {
+      return null;
+    }
+
+    try {
+      return JSON.parse(trimmed);
+    } catch (_error) {
+      return trimmed;
+    }
+  }
+
+  async function approveMapping(mapping) {
+    if (!sessionId || !mapping?.mapping_id || savingMappingId) {
+      return;
+    }
+
+    savingMappingId = mapping.mapping_id;
+    setRowMessage(mapping.mapping_id, { status: "saving", text: "" });
+
+    try {
+      const updatedMapping = await requestApi(
+        `/dataset-orchestration/sessions/${sessionId}/mappings/${mapping.mapping_id}/approve`,
+        "POST",
+        mapping.transformation_note ? { approval_note: mapping.transformation_note } : {},
+      );
+      setRowMessage(mapping.mapping_id, {
+        status: "success",
+        text: $t.dataset_review?.mapping?.messages?.approval_saved,
+      });
+      onupdated({
+        mapping: updatedMapping,
+        preview_state: "unchanged",
+      });
+    } catch (error) {
+      setRowMessage(mapping.mapping_id, {
+        status: "error",
+        text:
+          error?.message ||
+          $t.dataset_review?.mapping?.messages?.approval_failed ||
+          $t.common?.error,
+      });
+    } finally {
+      savingMappingId = "";
+    }
+  }
+
+  async function approveAllMappings() {
+    if (!sessionId || batchSaving || pendingApprovalCount === 0) {
+      return;
+    }
+
+    batchSaving = true;
+    try {
+      const mappingIds = sortedMappings
+        .filter((mapping) => getRowState(mapping).needsExplicitApproval)
+        .map((mapping) => mapping.mapping_id);
+      const updatedMappings = await requestApi(
+        `/dataset-orchestration/sessions/${sessionId}/mappings/approve-batch`,
+        "POST",
+        { mapping_ids: mappingIds },
+      );
+      onupdated({
+        mappings: updatedMappings,
+        preview_state: "unchanged",
+      });
+    } catch (error) {
+      const message =
+        error?.message ||
+        $t.dataset_review?.mapping?.messages?.approval_failed ||
+        $t.common?.error;
+      for (const mapping of sortedMappings.filter((item) => getRowState(item).needsExplicitApproval)) {
+        setRowMessage(mapping.mapping_id, { status: "error", text: message });
+      }
+    } finally {
+      batchSaving = false;
+    }
+  }
+
+  async function saveManualOverride(mapping) {
+    if (!sessionId || !mapping?.mapping_id || savingMappingId) {
+      return;
+    }
+
+    const effectiveValue = normalizeOverrideValue();
+    const templateVariable = variableLookup[mapping.variable_id];
+    if (effectiveValue === null && templateVariable?.is_required) {
+      setRowMessage(mapping.mapping_id, {
+        status: "error",
+        text: $t.dataset_review?.mapping?.messages?.required_value_missing,
+      });
+      return;
+    }
+
+    savingMappingId = mapping.mapping_id;
+    setRowMessage(mapping.mapping_id, { status: "saving", text: "" });
+
+    try {
+      const updatedMapping = await requestApi(
+        `/dataset-orchestration/sessions/${sessionId}/mappings/${mapping.mapping_id}`,
+        "PATCH",
+        {
+          effective_value: effectiveValue,
+          mapping_method: "manual_override",
+          transformation_note: String(overrideNoteDraft || "").trim() || null,
+        },
+      );
+      setRowMessage(mapping.mapping_id, {
+        status: "success",
+        text: $t.dataset_review?.mapping?.messages?.override_saved,
+      });
+      editingMappingId = "";
+      overrideValueDraft = "";
+      overrideNoteDraft = "";
+      onupdated({
+        mapping: updatedMapping,
+        preview_state: "stale",
+      });
+    } catch (error) {
+      setRowMessage(mapping.mapping_id, {
+        status: "error",
+        text:
+          error?.message ||
+          $t.dataset_review?.mapping?.messages?.override_failed ||
+          $t.common?.error,
+      });
+    } finally {
+      savingMappingId = "";
+    }
+  }
+</script>
+
+<section id="mapping" class="rounded-2xl border border-slate-200 bg-white p-5 shadow-sm">
+  <div class="flex flex-col gap-3 md:flex-row md:items-start md:justify-between">
+    <div>
+      <p class="text-xs font-semibold uppercase tracking-wide text-slate-500">
+        {$t.dataset_review?.mapping?.eyebrow}
+      </p>
+      <h2 class="text-xl font-semibold text-slate-900">
+        {$t.dataset_review?.mapping?.title}
+      </h2>
+      <p class="mt-1 max-w-3xl text-sm text-slate-600">
+        {$t.dataset_review?.mapping?.description}
+      </p>
+    </div>
+
+    <div class="flex flex-wrap gap-2">
+      <span
+        class={`rounded-full px-3 py-1 text-xs font-medium ${
+          reviewState === "Incomplete"
+            ? "bg-red-100 text-red-700"
+            : reviewState === "WarningApproval"
+              ? "bg-amber-100 text-amber-700"
+              : "bg-emerald-100 text-emerald-700"
+        }`}
+      >
+        {$t.dataset_review?.mapping?.state_label}: {$t.dataset_review?.mapping?.state?.[reviewState]}
+      </span>
+      <span class="rounded-full bg-slate-100 px-3 py-1 text-xs font-medium text-slate-700">
+        {$t.dataset_review?.mapping?.pending_approvals_label}: {pendingApprovalCount}
+      </span>
+      <span class="rounded-full bg-slate-100 px-3 py-1 text-xs font-medium text-slate-700">
+        {$t.dataset_review?.mapping?.required_values_label}: {missingRequiredCount}
+      </span>
+      <button
+        type="button"
+        class="inline-flex items-center justify-center rounded-xl border border-slate-300 px-4 py-2 text-sm font-medium text-slate-700 transition hover:bg-slate-50 disabled:cursor-not-allowed disabled:opacity-50"
+        onclick={approveAllMappings}
+        disabled={disabled || batchSaving || pendingApprovalCount === 0}
+      >
+        {$t.dataset_review?.mapping?.approve_all_action}
+      </button>
+    </div>
+  </div>
+
+  {#if sortedMappings.length === 0}
+    <div class="mt-5 rounded-xl border border-slate-200 bg-slate-50 px-4 py-4 text-sm text-slate-600">
+      {$t.dataset_review?.mapping?.empty}
+    </div>
+  {:else}
+    {#if missingRequiredCount > 0}
+      <div class="mt-5 rounded-xl border border-red-200 bg-red-50 px-4 py-4 text-sm text-red-700">
+        {$t.dataset_review?.mapping?.required_blockers_notice.replace(
+          "{count}",
+          String(missingRequiredCount),
+        )}
+      </div>
+    {/if}
+
+    {#if pendingApprovalCount > 0}
+      <div class="mt-3 rounded-xl border border-amber-200 bg-amber-50 px-4 py-4 text-sm text-amber-800">
+        {$t.dataset_review?.mapping?.approval_notice.replace(
+          "{count}",
+          String(pendingApprovalCount),
+        )}
+      </div>
+    {/if}
+
+    <div class="mt-5 space-y-4">
+      {#each sortedMappings as mapping}
+        {@const rowState = getRowState(mapping)}
+        {@const templateVariable = rowState.templateVariable}
+        {@const importedFilter = rowState.importedFilter}
+        {@const isEditing = editingMappingId === mapping.mapping_id}
+        {@const isSaving = savingMappingId === mapping.mapping_id}
+        {@const rowMessage = rowMessages[mapping.mapping_id] || { status: "", text: "" }}
+
+        <article
+          class={`rounded-2xl border p-4 shadow-sm ${
+            rowState.missingRequiredValue
+              ? "border-red-200 bg-red-50"
+              : rowState.needsExplicitApproval
+                ? "border-amber-200 bg-amber-50"
+                : "border-slate-200 bg-white"
+          }`}
+        >
+          <div class="flex flex-col gap-4 xl:flex-row xl:items-start xl:justify-between">
+            <div class="min-w-0 flex-1">
+              <div class="flex flex-wrap items-center gap-2">
+                <h3 class="text-base font-semibold text-slate-900">
+                  {importedFilter?.display_name || importedFilter?.filter_name || mapping.mapping_id}
+                </h3>
+                <span class="rounded-full bg-slate-100 px-2 py-0.5 text-xs text-slate-700">
+                  {$t.dataset_review?.mapping?.to_variable_label}: {templateVariable?.variable_name ||
+                    mapping.variable_id}
+                </span>
+                {#if templateVariable?.is_required}
+                  <span class="rounded-full bg-red-100 px-2 py-0.5 text-xs text-red-700">
+                    {$t.dataset_review?.mapping?.required_badge}
+                  </span>
+                {/if}
+                {#if rowState.needsExplicitApproval}
+                  <span class="rounded-full bg-amber-100 px-2 py-0.5 text-xs text-amber-800">
+                    {$t.dataset_review?.mapping?.approval_required_badge}
+                  </span>
+                {/if}
+                {#if mapping.approval_state === "approved"}
+                  <span class="rounded-full bg-emerald-100 px-2 py-0.5 text-xs text-emerald-700">
+                    {$t.dataset_review?.mapping?.approved_badge}
+                  </span>
+                {/if}
+              </div>
+
+              <div class="mt-3 grid gap-3 lg:grid-cols-2">
+                <div class="rounded-xl border border-slate-200 bg-white p-3">
+                  <div class="text-xs uppercase tracking-wide text-slate-500">
+                    {$t.dataset_review?.mapping?.source_filter_label}
+                  </div>
+                  <div class="mt-1 text-sm font-medium text-slate-900">
+                    {importedFilter?.filter_name || mapping.filter_id}
+                  </div>
+                  <div class="mt-2 flex flex-wrap gap-2 text-xs text-slate-600">
+                    <span class="rounded-full bg-slate-100 px-2 py-1">
+                      {$t.dataset_review?.mapping?.source_value_label}:
+                      {stringifyValue(importedFilter?.raw_value)}
+                    </span>
+                    <span class="rounded-full bg-slate-100 px-2 py-1">
+                      {$t.dataset_review?.mapping?.confidence_label}:
+                      {importedFilter?.confidence_state || ($t.common?.unknown || "unknown")}
+                    </span>
+                    <span class="rounded-full bg-slate-100 px-2 py-1">
+                      {$t.dataset_review?.mapping?.recovery_label}:
+                      {importedFilter?.recovery_status || ($t.common?.unknown || "unknown")}
+                    </span>
+                  </div>
+                </div>
+
+                <div class="rounded-xl border border-slate-200 bg-white p-3">
+                  <div class="text-xs uppercase tracking-wide text-slate-500">
+                    {$t.dataset_review?.mapping?.effective_value_label}
+                  </div>
+                  <div class="mt-1 break-all text-sm font-medium text-slate-900">
+                    {stringifyValue(rowState.effectiveValue)}
+                  </div>
+                  <div class="mt-2 flex flex-wrap gap-2 text-xs text-slate-600">
+                    <span class="rounded-full bg-slate-100 px-2 py-1">
+                      {$t.dataset_review?.mapping?.method_label}: {getMethodLabel(mapping.mapping_method)}
+                    </span>
+                    <span class="rounded-full bg-slate-100 px-2 py-1">
+                      {$t.dataset_review?.mapping?.approval_label}: {getApprovalLabel(mapping.approval_state)}
+                    </span>
+                    {#if mapping.warning_level}
+                      <span class="rounded-full bg-slate-100 px-2 py-1">
+                        {$t.dataset_review?.mapping?.warning_label}: {getWarningLabel(mapping.warning_level)}
+                      </span>
+                    {/if}
+                  </div>
+                </div>
+              </div>
+
+              {#if mapping.transformation_note}
+                <div class="mt-3 rounded-xl border border-slate-200 bg-slate-50 px-3 py-3 text-sm text-slate-700">
+                  <span class="font-medium text-slate-900">
+                    {$t.dataset_review?.mapping?.transformation_note_label}:
+                  </span>
+                  {mapping.transformation_note}
+                </div>
+              {/if}
+
+              {#if rowState.missingRequiredValue}
+                <div class="mt-3 rounded-xl border border-red-200 bg-red-50 px-3 py-3 text-sm text-red-700">
+                  {$t.dataset_review?.mapping?.missing_required_value}
+                </div>
+              {/if}
+
+              {#if isEditing}
+                <div class="mt-4 grid gap-3">
+                  <label class="space-y-1">
+                    <span class="text-sm font-medium text-slate-700">
+                      {$t.dataset_review?.mapping?.manual_value_label}
+                    </span>
+                    <input
+                      class="w-full rounded-xl border border-slate-300 bg-white px-3 py-2 text-sm text-slate-900 shadow-sm outline-none transition focus:border-blue-500 focus:ring-2 focus:ring-blue-200"
+                      bind:value={overrideValueDraft}
+                      disabled={disabled || isSaving}
+                    />
+                  </label>
+
+                  <label class="space-y-1">
+                    <span class="text-sm font-medium text-slate-700">
+                      {$t.dataset_review?.mapping?.manual_note_label}
+                    </span>
+                    <textarea
+                      class="min-h-24 w-full rounded-xl border border-slate-300 bg-white px-3 py-2 text-sm text-slate-900 shadow-sm outline-none transition focus:border-blue-500 focus:ring-2 focus:ring-blue-200"
+                      bind:value={overrideNoteDraft}
+                      disabled={disabled || isSaving}
+                    ></textarea>
+                  </label>
+
+                  <div class="flex flex-wrap gap-2">
+                    <button
+                      type="button"
+                      class="inline-flex items-center justify-center rounded-xl bg-blue-600 px-4 py-2 text-sm font-medium text-white transition hover:bg-blue-700 disabled:cursor-not-allowed disabled:bg-slate-300"
+                      onclick={() => saveManualOverride(mapping)}
+                      disabled={disabled || isSaving}
+                    >
+                      {$t.dataset_review?.mapping?.save_override_action}
+                    </button>
+                    <button
+                      type="button"
+                      class="inline-flex items-center justify-center rounded-xl border border-slate-300 px-4 py-2 text-sm font-medium text-slate-700 transition hover:bg-slate-50 disabled:cursor-not-allowed disabled:opacity-50"
+                      onclick={() => cancelManualOverride(mapping.mapping_id)}
+                      disabled={isSaving}
+                    >
+                      {$t.common?.cancel}
+                    </button>
+                  </div>
+                </div>
+              {/if}
+
+              {#if rowMessage.text || rowMessage.status === "saving"}
+                <div
+                  class={`mt-4 rounded-xl px-3 py-3 text-sm ${
+                    rowMessage.status === "error"
+                      ? "border border-red-200 bg-red-50 text-red-700"
+                      : rowMessage.status === "saving"
+                        ? "border border-blue-200 bg-blue-50 text-blue-700"
+                        : "border border-emerald-200 bg-emerald-50 text-emerald-800"
+                  }`}
+                >
+                  {rowMessage.status === "saving"
+                    ? $t.dataset_review?.mapping?.messages?.saving
+                    : rowMessage.text}
+                </div>
+              {/if}
+            </div>
+
+            <div class="flex shrink-0 flex-wrap gap-2 xl:w-56 xl:flex-col">
+              <button
+                type="button"
+                class="inline-flex items-center justify-center rounded-xl border border-slate-300 px-4 py-2 text-sm font-medium text-slate-700 transition hover:bg-slate-50 disabled:cursor-not-allowed disabled:opacity-50"
+                onclick={() => startManualOverride(mapping)}
+                disabled={disabled || isSaving}
+              >
+                {$t.dataset_review?.mapping?.manual_override_action}
+              </button>
+
+              <button
+                type="button"
+                class="inline-flex items-center justify-center rounded-xl bg-amber-600 px-4 py-2 text-sm font-medium text-white transition hover:bg-amber-700 disabled:cursor-not-allowed disabled:bg-slate-300"
+                onclick={() => approveMapping(mapping)}
+                disabled={disabled || isSaving || !rowState.needsExplicitApproval}
+              >
+                {$t.dataset_review?.mapping?.approve_action}
+              </button>
+            </div>
+          </div>
+        </article>
+      {/each}
+    </div>
+  {/if}
+</section>
+
+<!-- [/DEF:ExecutionMappingReview:Component] -->

frontend/src/lib/components/dataset-review/LaunchConfirmationPanel.svelte

@@ -0,0 +1,372 @@
+<!-- [DEF:LaunchConfirmationPanel:Component] -->
+<!-- @COMPLEXITY: 4 -->
+<!-- @SEMANTICS: dataset-review, launch-confirmation, run-gates, sql-lab, audited-execution -->
+<!-- @PURPOSE: Summarize final execution context, surface launch blockers explicitly, and confirm only a gate-complete SQL Lab launch request. -->
+<!-- @LAYER: UI -->
+<!-- @RELATION: [BINDS_TO] ->[api_module] -->
+<!-- @RELATION: [BINDS_TO] ->[DatasetReviewWorkspace] -->
+<!-- @PRE: Session detail, mappings, findings, preview state, and latest run context belong to the current ownership-scoped session payload. -->
+<!-- @POST: Users can see why launch is blocked or confirm a run-ready launch with explicit SQL Lab handoff evidence. -->
+<!-- @SIDE_EFFECT: Submits the launch request through dataset orchestration APIs and updates the workspace with returned run context state. -->
+<!-- @UX_STATE: Blocked -> Explicit blocker list prevents hidden bypass of approvals, readiness, or preview-fingerprint gates. -->
+<!-- @UX_STATE: Ready -> Final reviewed run context is visible before confirmation. -->
+<!-- @UX_STATE: Submitted -> SQL Lab handoff and audited run context reference are shown after launch request succeeds. -->
+<!-- @UX_FEEDBACK: Launch button, blocker list, and success state all reflect current gate truth instead of generic confirmation copy. -->
+<!-- @UX_RECOVERY: Blocked launch state provides jump paths back to mapping review, preview generation, or validation remediation. -->
+<!-- @UX_REACTIVITY: Uses $props, $state, and $derived only; no legacy reactive syntax. -->
+<script>
+  import { t } from "$lib/i18n";
+  import { requestApi } from "$lib/api.js";
+
+  let {
+    sessionId = "",
+    session = null,
+    findings = [],
+    mappings = [],
+    preview = null,
+    previewState = "",
+    latestRunContext = null,
+    disabled = false,
+    onupdated = () => {},
+    onjump = () => {},
+  } = $props();
+
+  let launchStatus = $state("");
+  let launchMessage = $state("");
+  let launchResult = $state(null);
+
+  const activeRunContext = $derived(launchResult?.run_context || latestRunContext || null);
+  const effectivePreviewState = $derived(
+    String(previewState || preview?.preview_status || "missing"),
+  );
+  const approvedMappingsCount = $derived(
+    (mappings || []).filter((mapping) => mapping.approval_state === "approved").length,
+  );
+  const launchBlockers = $derived(buildLaunchBlockers());
+  const panelState = $derived(
+    activeRunContext ? "Submitted" : launchBlockers.length > 0 ? "Blocked" : "Ready",
+  );
+  const launchButtonLabel = $derived(
+    launchStatus === "saving"
+      ? $t.dataset_review?.launch?.launch_loading
+      : $t.dataset_review?.launch?.launch_action,
+  );
+
+  function buildLaunchBlockers() {
+    const blockers = [];
+
+    for (const finding of findings || []) {
+      if (
+        finding.severity === "blocking" &&
+        finding.resolution_state !== "resolved" &&
+        finding.resolution_state !== "approved"
+      ) {
+        blockers.push({
+          label:
+            $t.dataset_review?.launch?.blockers?.blocking_finding ||
+            "Blocking findings remain unresolved",
+          detail: finding.title || finding.message || finding.code,
+          target: "summary",
+        });
+      }
+    }
+
+    for (const mapping of mappings || []) {
+      if (mapping.requires_explicit_approval && mapping.approval_state !== "approved") {
+        blockers.push({
+          label:
+            $t.dataset_review?.launch?.blockers?.mapping_approval_required ||
+            "Mapping approval is still required",
+          detail: mapping.transformation_note || mapping.mapping_id,
+          target: "mapping",
+        });
+      }
+    }
+
+    if (effectivePreviewState === "missing") {
+      blockers.push({
+        label:
+          $t.dataset_review?.launch?.blockers?.preview_missing ||
+          "Superset preview is required before launch",
+        detail: "",
+        target: "sql-preview",
+      });
+    } else if (effectivePreviewState === "pending") {
+      blockers.push({
+        label:
+          $t.dataset_review?.launch?.blockers?.preview_pending ||
+          "Preview generation is still in progress",
+        detail: "",
+        target: "sql-preview",
+      });
+    } else if (effectivePreviewState === "stale") {
+      blockers.push({
+        label:
+          $t.dataset_review?.launch?.blockers?.preview_stale ||
+          "Preview no longer matches the current execution inputs",
+        detail: "",
+        target: "sql-preview",
+      });
+    } else if (effectivePreviewState === "failed") {
+      blockers.push({
+        label:
+          $t.dataset_review?.launch?.blockers?.preview_failed ||
+          "Preview failed and launch remains blocked",
+        detail: preview?.error_details || preview?.error_code || "",
+        target: "sql-preview",
+      });
+    }
+
+    if (!activeRunContext && String(session?.readiness_state || "") !== "run_ready") {
+      blockers.push({
+        label:
+          $t.dataset_review?.launch?.blockers?.readiness_not_run_ready ||
+          "Session is not yet in run-ready state",
+        detail: session?.readiness_state || "",
+        target: "next-action",
+      });
+    }
+
+    if (!activeRunContext && !preview?.preview_fingerprint) {
+      blockers.push({
+        label:
+          $t.dataset_review?.launch?.blockers?.preview_fingerprint_missing ||
+          "Preview fingerprint is missing, so launch cannot be trusted",
+        detail: "",
+        target: "sql-preview",
+      });
+    }
+
+    return blockers;
+  }
+
+  function getStateLabel(state) {
+    return $t.dataset_review?.launch?.state?.[state] || state;
+  }
+
+  function getStateClass(state) {
+    if (state === "Submitted") {
+      return "bg-emerald-100 text-emerald-700";
+    }
+    if (state === "Ready") {
+      return "bg-blue-100 text-blue-700";
+    }
+    return "bg-red-100 text-red-700";
+  }
+
+  function jumpTo(target) {
+    onjump({ target });
+  }
+
+  async function confirmLaunch() {
+    if (!sessionId || disabled || panelState !== "Ready" || launchStatus === "saving") {
+      return;
+    }
+
+    launchStatus = "saving";
+    launchMessage = "";
+
+    try {
+      const result = await requestApi(`/dataset-orchestration/sessions/${sessionId}/launch`, "POST");
+      launchResult = result;
+      launchStatus = "success";
+      launchMessage = $t.dataset_review?.launch?.messages?.launch_started;
+      onupdated({
+        launch_result: result,
+        preview_state: "unchanged",
+      });
+    } catch (error) {
+      launchStatus = "error";
+      launchMessage =
+        error?.message ||
+        $t.dataset_review?.launch?.messages?.launch_failed ||
+        $t.common?.error;
+    }
+  }
+</script>
+
+<section id="launch" class="rounded-2xl border border-slate-200 bg-white p-5 shadow-sm">
+  <div class="flex flex-col gap-3 md:flex-row md:items-start md:justify-between">
+    <div>
+      <p class="text-xs font-semibold uppercase tracking-wide text-slate-500">
+        {$t.dataset_review?.launch?.eyebrow}
+      </p>
+      <h2 class="text-xl font-semibold text-slate-900">
+        {$t.dataset_review?.launch?.title}
+      </h2>
+      <p class="mt-1 max-w-3xl text-sm text-slate-600">
+        {$t.dataset_review?.launch?.description}
+      </p>
+    </div>
+
+    <span class={`rounded-full px-3 py-1 text-xs font-medium ${getStateClass(panelState)}`}>
+      {$t.dataset_review?.launch?.state_label}: {getStateLabel(panelState)}
+    </span>
+  </div>
+
+  {#if panelState === "Blocked"}
+    <div class="mt-5 rounded-xl border border-red-200 bg-red-50 p-4">
+      <h3 class="text-sm font-semibold text-red-800">
+        {$t.dataset_review?.launch?.blocked_title}
+      </h3>
+      <p class="mt-1 text-sm text-red-700">
+        {$t.dataset_review?.launch?.blocked_body}
+      </p>
+
+      <div class="mt-4 space-y-3">
+        {#each launchBlockers as blocker}
+          <div class="rounded-xl border border-red-200 bg-white p-3">
+            <div class="text-sm font-medium text-slate-900">{blocker.label}</div>
+            {#if blocker.detail}
+              <div class="mt-1 break-all text-xs text-slate-600">{blocker.detail}</div>
+            {/if}
+            <button
+              type="button"
+              class="mt-3 inline-flex items-center justify-center rounded-lg border border-slate-300 bg-white px-3 py-2 text-sm font-medium text-slate-700 transition hover:bg-slate-50"
+              onclick={() => jumpTo(blocker.target)}
+            >
+              {$t.dataset_review?.launch?.resolve_action}
+            </button>
+          </div>
+        {/each}
+      </div>
+    </div>
+  {/if}
+
+  {#if panelState === "Ready"}
+    <div class="mt-5 space-y-4">
+      <div class="rounded-xl border border-slate-200 bg-slate-50 p-4">
+        <div class="grid gap-3 md:grid-cols-2">
+          <div>
+            <div class="text-xs uppercase tracking-wide text-slate-500">
+              {$t.dataset_review?.launch?.dataset_ref_label}
+            </div>
+            <div class="mt-1 text-sm font-medium text-slate-900">
+              {session?.dataset_ref || ($t.common?.unknown || "unknown")}
+            </div>
+          </div>
+
+          <div>
+            <div class="text-xs uppercase tracking-wide text-slate-500">
+              {$t.dataset_review?.launch?.readiness_label}
+            </div>
+            <div class="mt-1 text-sm font-medium text-slate-900">
+              {session?.readiness_state || ($t.common?.unknown || "unknown")}
+            </div>
+          </div>
+
+          <div>
+            <div class="text-xs uppercase tracking-wide text-slate-500">
+              {$t.dataset_review?.launch?.approved_mappings_label}
+            </div>
+            <div class="mt-1 text-sm font-medium text-slate-900">
+              {approvedMappingsCount}
+            </div>
+          </div>
+
+          <div>
+            <div class="text-xs uppercase tracking-wide text-slate-500">
+              {$t.dataset_review?.launch?.preview_fingerprint_label}
+            </div>
+            <div class="mt-1 break-all text-sm font-medium text-slate-900">
+              {preview?.preview_fingerprint || ($t.common?.not_available || "N/A")}
+            </div>
+          </div>
+        </div>
+      </div>
+
+      <div class="rounded-xl border border-slate-200 bg-slate-50 p-4">
+        <h3 class="text-sm font-semibold text-slate-900">
+          {$t.dataset_review?.launch?.sql_lab_target_title}
+        </h3>
+        <p class="mt-1 text-sm text-slate-600">
+          {$t.dataset_review?.launch?.sql_lab_target_body}
+        </p>
+        <div class="mt-3 flex flex-wrap gap-2 text-xs text-slate-600">
+          <span class="rounded-full bg-white px-2 py-1">
+            {$t.dataset_review?.launch?.preview_status_label}: {preview?.preview_status}
+          </span>
+          <span class="rounded-full bg-white px-2 py-1">
+            {$t.dataset_review?.launch?.compiled_by_label}: {preview?.compiled_by}
+          </span>
+        </div>
+      </div>
+
+      <button
+        type="button"
+        onclick={confirmLaunch}
+        disabled={disabled || launchStatus === "saving"}
+        class="inline-flex w-full items-center justify-center rounded-xl bg-blue-600 px-4 py-3 text-sm font-medium text-white transition hover:bg-blue-700 disabled:cursor-not-allowed disabled:bg-slate-300"
+      >
+        {launchButtonLabel}
+      </button>
+    </div>
+  {/if}
+
+  {#if panelState === "Submitted"}
+    <div class="mt-5 space-y-4 rounded-xl border border-emerald-200 bg-emerald-50 p-4">
+      <div>
+        <h3 class="text-sm font-semibold text-emerald-900">
+          {$t.dataset_review?.launch?.submitted_title}
+        </h3>
+        <p class="mt-1 text-sm text-emerald-800">
+          {$t.dataset_review?.launch?.submitted_body}
+        </p>
+      </div>
+
+      <div class="grid gap-3 md:grid-cols-2">
+        <div class="rounded-xl border border-emerald-200 bg-white p-3">
+          <div class="text-xs uppercase tracking-wide text-slate-500">
+            {$t.dataset_review?.launch?.run_context_label}
+          </div>
+          <div class="mt-1 break-all text-sm font-medium text-slate-900">
+            {activeRunContext?.run_context_id}
+          </div>
+        </div>
+
+        <div class="rounded-xl border border-emerald-200 bg-white p-3">
+          <div class="text-xs uppercase tracking-wide text-slate-500">
+            {$t.dataset_review?.launch?.sql_lab_session_label}
+          </div>
+          <div class="mt-1 break-all text-sm font-medium text-slate-900">
+            {activeRunContext?.sql_lab_session_ref}
+          </div>
+        </div>
+
+        <div class="rounded-xl border border-emerald-200 bg-white p-3">
+          <div class="text-xs uppercase tracking-wide text-slate-500">
+            {$t.dataset_review?.launch?.launch_status_label}
+          </div>
+          <div class="mt-1 text-sm font-medium text-slate-900">
+            {activeRunContext?.launch_status}
+          </div>
+        </div>
+
+        <div class="rounded-xl border border-emerald-200 bg-white p-3">
+          <div class="text-xs uppercase tracking-wide text-slate-500">
+            {$t.dataset_review?.launch?.preview_ref_label}
+          </div>
+          <div class="mt-1 break-all text-sm font-medium text-slate-900">
+            {activeRunContext?.preview_id}
+          </div>
+        </div>
+      </div>
+    </div>
+  {/if}
+
+  {#if launchMessage}
+    <div
+      class={`mt-4 rounded-xl px-3 py-3 text-sm ${
+        launchStatus === "error"
+          ? "border border-red-200 bg-red-50 text-red-700"
+          : launchStatus === "saving"
+            ? "border border-blue-200 bg-blue-50 text-blue-700"
+            : "border border-emerald-200 bg-emerald-50 text-emerald-800"
+      }`}
+    >
+      {launchMessage}
+    </div>
+  {/if}
+</section>
+
+<!-- [/DEF:LaunchConfirmationPanel:Component] -->

frontend/src/lib/components/dataset-review/SemanticLayerReview.svelte

@@ -0,0 +1,598 @@
+<!-- [DEF:SemanticLayerReview:Component] -->
+<!-- @COMPLEXITY: 4 -->
+<!-- @SEMANTICS: dataset-review, semantic-layer, candidate-review, manual-override, field-lock -->
+<!-- @PURPOSE: Surface field-level semantic decisions with provenance, confidence, candidate acceptance, and manual override safeguards for US2 review flow. -->
+<!-- @LAYER: UI -->
+<!-- @RELATION: [BINDS_TO] ->[api_module] -->
+<!-- @RELATION: [BINDS_TO] ->[DatasetReviewWorkspace] -->
+<!-- @PRE: Session id is available and semantic field entries come from the current ownership-scoped session detail payload. -->
+<!-- @POST: Users can review the current semantic value, accept a candidate, apply manual override, and lock or unlock field state without violating backend provenance rules. -->
+<!-- @SIDE_EFFECT: Persists semantic field decisions, lock state, and optional thumbs feedback through dataset orchestration endpoints. -->
+<!-- @UX_STATE: Conflicted -> Multiple candidates or review-needed fields remain visible with explicit acceptance actions. -->
+<!-- @UX_STATE: Manual -> One field enters local draft mode and persists as locked manual override on save. -->
+<!-- @UX_FEEDBACK: Save, lock, unlock, and feedback actions expose inline success or error state on the affected field. -->
+<!-- @UX_RECOVERY: Users can cancel local edits, unlock a manual override for re-review, or retry failed mutations in place. -->
+<!-- @UX_REACTIVITY: Uses $props, $state, and $derived only; no legacy reactive syntax. -->
+<script>
+  import { t } from "$lib/i18n";
+  import { requestApi } from "$lib/api.js";
+
+  let {
+    sessionId = "",
+    fields = [],
+    semanticSources = [],
+    disabled = false,
+    onupdated = () => {},
+  } = $props();
+
+  let editingFieldId = $state("");
+  let draftVerboseName = $state("");
+  let draftDescription = $state("");
+  let draftDisplayFormat = $state("");
+  let savingFieldId = $state("");
+  let batchSaving = $state(false);
+  let fieldMessages = $state({});
+
+  const sortedFields = $derived(
+    [...(fields || [])].sort((left, right) => {
+      const leftPriority = Number(Boolean(left?.needs_review)) + Number(Boolean(left?.has_conflict));
+      const rightPriority =
+        Number(Boolean(right?.needs_review)) + Number(Boolean(right?.has_conflict));
+      if (leftPriority !== rightPriority) {
+        return rightPriority - leftPriority;
+      }
+      return String(left?.field_name || "").localeCompare(String(right?.field_name || ""));
+    }),
+  );
+
+  const activeFieldCount = $derived(sortedFields.length);
+
+  function updateFieldMessage(fieldId, patch) {
+    fieldMessages = {
+      ...fieldMessages,
+      [fieldId]: {
+        ...(fieldMessages[fieldId] || {}),
+        ...patch,
+      },
+    };
+  }
+
+  function resetFieldMessage(fieldId) {
+    fieldMessages = {
+      ...fieldMessages,
+      [fieldId]: {
+        status: "",
+        text: "",
+      },
+    };
+  }
+
+  function startManualEdit(field) {
+    editingFieldId = field.field_id;
+    draftVerboseName = field.verbose_name || "";
+    draftDescription = field.description || "";
+    draftDisplayFormat = field.display_format || "";
+    resetFieldMessage(field.field_id);
+  }
+
+  function cancelManualEdit(fieldId) {
+    if (editingFieldId !== fieldId) {
+      return;
+    }
+    editingFieldId = "";
+    draftVerboseName = "";
+    draftDescription = "";
+    draftDisplayFormat = "";
+    resetFieldMessage(fieldId);
+  }
+
+  function getSourceLabel(sourceId) {
+    const source = (semanticSources || []).find((item) => item.source_id === sourceId);
+    if (!source) {
+      return $t.dataset_review?.semantics?.unknown_source;
+    }
+    return `${source.display_name} • ${source.source_version}`;
+  }
+
+  function getCandidateStatusLabel(status) {
+    const normalized = String(status || "pending");
+    return $t.dataset_review?.semantics?.candidate_status?.[normalized] || normalized;
+  }
+
+  function getProvenanceLabel(provenance) {
+    const normalized = String(provenance || "unresolved");
+    return $t.dataset_review?.semantics?.provenance?.[normalized] || normalized;
+  }
+
+  function getConfidenceLabel(rank) {
+    if (rank === null || rank === undefined) {
+      return $t.dataset_review?.semantics?.confidence_unset;
+    }
+    return `${$t.dataset_review?.semantics?.confidence_rank_label} #${rank}`;
+  }
+
+  function getCurrentValueSummary(field) {
+    const parts = [
+      field.verbose_name || $t.dataset_review?.semantics?.empty_value,
+      field.description || "",
+      field.display_format || "",
+    ].filter(Boolean);
+    return parts.join(" • ");
+  }
+
+  async function persistFieldSemantic(fieldId, payload, successKey) {
+    if (!sessionId || !fieldId || savingFieldId) {
+      return;
+    }
+
+    savingFieldId = fieldId;
+    updateFieldMessage(fieldId, { status: "saving", text: "" });
+
+    try {
+      const updatedField = await requestApi(
+        `/dataset-orchestration/sessions/${sessionId}/fields/${fieldId}/semantic`,
+        "PATCH",
+        payload,
+      );
+      updateFieldMessage(fieldId, {
+        status: "success",
+        text: $t.dataset_review?.semantics?.messages?.[successKey],
+      });
+      if (editingFieldId === fieldId) {
+        editingFieldId = "";
+      }
+      onupdated(updatedField);
+    } catch (error) {
+      updateFieldMessage(fieldId, {
+        status: "error",
+        text:
+          error?.message ||
+          $t.dataset_review?.semantics?.messages?.save_failed ||
+          $t.common?.error,
+      });
+    } finally {
+      savingFieldId = "";
+    }
+  }
+
+  async function acceptCandidate(field, candidateId, lockField) {
+    await persistFieldSemantic(
+      field.field_id,
+      {
+        candidate_id: candidateId,
+        lock_field: lockField,
+      },
+      lockField ? "candidate_locked" : "candidate_applied",
+    );
+  }
+
+  async function saveManualOverride(field) {
+    const payload = {
+      verbose_name: draftVerboseName.trim() || null,
+      description: draftDescription.trim() || null,
+      display_format: draftDisplayFormat.trim() || null,
+      lock_field: true,
+    };
+    const hasManualValue =
+      payload.verbose_name || payload.description || payload.display_format;
+
+    if (!hasManualValue) {
+      updateFieldMessage(field.field_id, {
+        status: "error",
+        text: $t.dataset_review?.semantics?.messages?.manual_override_required,
+      });
+      return;
+    }
+
+    await persistFieldSemantic(field.field_id, payload, "manual_saved");
+  }
+
+  async function mutateLock(field, action) {
+    if (!sessionId || !field?.field_id || savingFieldId) {
+      return;
+    }
+
+    savingFieldId = field.field_id;
+    updateFieldMessage(field.field_id, { status: "saving", text: "" });
+
+    try {
+      const updatedField = await requestApi(
+        `/dataset-orchestration/sessions/${sessionId}/fields/${field.field_id}/${action}`,
+        "POST",
+      );
+      updateFieldMessage(field.field_id, {
+        status: "success",
+        text:
+          action === "lock"
+            ? $t.dataset_review?.semantics?.messages?.locked
+            : $t.dataset_review?.semantics?.messages?.unlocked,
+      });
+      onupdated(updatedField);
+    } catch (error) {
+      updateFieldMessage(field.field_id, {
+        status: "error",
+        text:
+          error?.message ||
+          $t.dataset_review?.semantics?.messages?.save_failed ||
+          $t.common?.error,
+      });
+    } finally {
+      savingFieldId = "";
+    }
+  }
+
+  async function approveAllCandidates() {
+    if (!sessionId || batchSaving) {
+      return;
+    }
+
+    const items = sortedFields
+      .filter((field) => !field.is_locked && field.candidates?.length)
+      .map((field) => ({
+        field_id: field.field_id,
+        candidate_id: field.candidates[0].candidate_id,
+        lock_field: false,
+      }));
+    if (!items.length) {
+      return;
+    }
+
+    batchSaving = true;
+    try {
+      const updatedFields = await requestApi(
+        `/dataset-orchestration/sessions/${sessionId}/fields/semantic/approve-batch`,
+        "POST",
+        { items },
+      );
+      onupdated({ fields: updatedFields });
+    } catch (error) {
+      const message =
+        error?.message ||
+        $t.dataset_review?.semantics?.messages?.save_failed ||
+        $t.common?.error;
+      for (const item of items) {
+        updateFieldMessage(item.field_id, { status: "error", text: message });
+      }
+    } finally {
+      batchSaving = false;
+    }
+  }
+
+  async function recordFeedback(fieldId, feedback) {
+    if (!sessionId || !fieldId || savingFieldId) {
+      return;
+    }
+
+    savingFieldId = fieldId;
+    updateFieldMessage(fieldId, { status: "saving", text: "" });
+
+    try {
+      await requestApi(
+        `/dataset-orchestration/sessions/${sessionId}/fields/${fieldId}/feedback`,
+        "POST",
+        { feedback },
+      );
+      updateFieldMessage(fieldId, {
+        status: "success",
+        text:
+          feedback === "up"
+            ? $t.dataset_review?.semantics?.messages?.feedback_up
+            : $t.dataset_review?.semantics?.messages?.feedback_down,
+      });
+    } catch (error) {
+      updateFieldMessage(fieldId, {
+        status: "error",
+        text:
+          error?.message ||
+          $t.dataset_review?.semantics?.messages?.save_failed ||
+          $t.common?.error,
+      });
+    } finally {
+      savingFieldId = "";
+    }
+  }
+</script>
+
+<section id="semantics" class="rounded-2xl border border-slate-200 bg-white p-5 shadow-sm">
+  <div class="flex flex-col gap-3 md:flex-row md:items-start md:justify-between">
+    <div>
+      <p class="text-xs font-semibold uppercase tracking-wide text-slate-500">
+        {$t.dataset_review?.semantics?.eyebrow}
+      </p>
+      <h2 class="text-xl font-semibold text-slate-900">
+        {$t.dataset_review?.semantics?.title}
+      </h2>
+      <p class="mt-1 max-w-3xl text-sm text-slate-600">
+        {$t.dataset_review?.semantics?.description}
+      </p>
+    </div>
+
+    <div class="flex flex-col items-end gap-2">
+      <div class="rounded-xl border border-slate-200 bg-slate-50 px-3 py-2 text-right">
+        <div class="text-xs uppercase tracking-wide text-slate-500">
+          {$t.dataset_review?.semantics?.field_count_label}
+        </div>
+        <div class="mt-1 text-sm font-medium text-slate-900">{activeFieldCount}</div>
+      </div>
+      <button
+        type="button"
+        class="inline-flex items-center justify-center rounded-xl border border-slate-300 px-4 py-2 text-sm font-medium text-slate-700 transition hover:bg-slate-50 disabled:cursor-not-allowed disabled:opacity-50"
+        onclick={approveAllCandidates}
+        disabled={disabled || batchSaving || activeFieldCount === 0}
+      >
+        {$t.dataset_review?.semantics?.approve_all_action}
+      </button>
+    </div>
+  </div>
+
+  {#if activeFieldCount === 0}
+    <div class="mt-5 rounded-xl border border-slate-200 bg-slate-50 px-4 py-4 text-sm text-slate-600">
+      {$t.dataset_review?.semantics?.empty}
+    </div>
+  {:else}
+    <div class="mt-5 space-y-4">
+      {#each sortedFields as field}
+        {@const message = fieldMessages[field.field_id] || { status: "", text: "" }}
+        {@const isEditing = editingFieldId === field.field_id}
+        {@const isSaving = savingFieldId === field.field_id}
+
+        <article
+          class={`rounded-2xl border p-4 shadow-sm ${
+            field.has_conflict || field.needs_review
+              ? "border-amber-200 bg-amber-50"
+              : "border-slate-200 bg-white"
+          }`}
+        >
+          <div class="flex flex-col gap-4 lg:flex-row lg:items-start lg:justify-between">
+            <div class="min-w-0 flex-1">
+              <div class="flex flex-wrap items-center gap-2">
+                <h3 class="text-base font-semibold text-slate-900">{field.field_name}</h3>
+                <span class="rounded-full bg-slate-100 px-2 py-0.5 text-xs text-slate-700">
+                  {field.field_kind}
+                </span>
+                <span
+                  class={`rounded-full px-2 py-0.5 text-xs ${
+                    field.is_locked
+                      ? "bg-blue-100 text-blue-700"
+                      : "bg-slate-100 text-slate-700"
+                  }`}
+                >
+                  {field.is_locked
+                    ? $t.dataset_review?.semantics?.locked_badge
+                    : $t.dataset_review?.semantics?.unlocked_badge}
+                </span>
+                {#if field.has_conflict}
+                  <span class="rounded-full bg-amber-100 px-2 py-0.5 text-xs text-amber-800">
+                    {$t.dataset_review?.semantics?.conflict_badge}
+                  </span>
+                {/if}
+                {#if field.needs_review}
+                  <span class="rounded-full bg-amber-100 px-2 py-0.5 text-xs text-amber-800">
+                    {$t.dataset_review?.semantics?.needs_review_badge}
+                  </span>
+                {/if}
+              </div>
+
+              <div class="mt-3 rounded-xl border border-slate-200 bg-slate-50 p-3">
+                <div class="text-xs uppercase tracking-wide text-slate-500">
+                  {$t.dataset_review?.semantics?.active_value_label}
+                </div>
+                <div class="mt-1 text-sm font-medium text-slate-900">
+                  {getCurrentValueSummary(field)}
+                </div>
+                <div class="mt-2 flex flex-wrap gap-2 text-xs text-slate-600">
+                  <span class="rounded-full bg-white px-2 py-1">
+                    {$t.dataset_review?.semantics?.provenance_label}:
+                    {getProvenanceLabel(field.provenance)}
+                  </span>
+                  <span class="rounded-full bg-white px-2 py-1">
+                    {$t.dataset_review?.semantics?.confidence_label}:
+                    {getConfidenceLabel(field.confidence_rank)}
+                  </span>
+                  {#if field.source_id}
+                    <span class="rounded-full bg-white px-2 py-1">
+                      {$t.dataset_review?.semantics?.source_label}: {getSourceLabel(field.source_id)}
+                    </span>
+                  {/if}
+                  <span class="rounded-full bg-white px-2 py-1">
+                    {$t.dataset_review?.semantics?.changed_by_label}: {field.last_changed_by}
+                  </span>
+                </div>
+              </div>
+
+              {#if isEditing}
+                <div class="mt-4 grid gap-3">
+                  <label class="space-y-1">
+                    <span class="text-sm font-medium text-slate-700">
+                      {$t.dataset_review?.semantics?.manual_verbose_name_label}
+                    </span>
+                    <input
+                      class="w-full rounded-xl border border-slate-300 bg-white px-3 py-2 text-sm text-slate-900 shadow-sm outline-none transition focus:border-blue-500 focus:ring-2 focus:ring-blue-200"
+                      bind:value={draftVerboseName}
+                      disabled={isSaving || disabled}
+                    />
+                  </label>
+
+                  <label class="space-y-1">
+                    <span class="text-sm font-medium text-slate-700">
+                      {$t.dataset_review?.semantics?.manual_description_label}
+                    </span>
+                    <textarea
+                      class="min-h-24 w-full rounded-xl border border-slate-300 bg-white px-3 py-2 text-sm text-slate-900 shadow-sm outline-none transition focus:border-blue-500 focus:ring-2 focus:ring-blue-200"
+                      bind:value={draftDescription}
+                      disabled={isSaving || disabled}
+                    ></textarea>
+                  </label>
+
+                  <label class="space-y-1">
+                    <span class="text-sm font-medium text-slate-700">
+                      {$t.dataset_review?.semantics?.manual_display_format_label}
+                    </span>
+                    <input
+                      class="w-full rounded-xl border border-slate-300 bg-white px-3 py-2 text-sm text-slate-900 shadow-sm outline-none transition focus:border-blue-500 focus:ring-2 focus:ring-blue-200"
+                      bind:value={draftDisplayFormat}
+                      disabled={isSaving || disabled}
+                    />
+                  </label>
+
+                  <div class="flex flex-wrap gap-2">
+                    <button
+                      type="button"
+                      class="inline-flex items-center justify-center rounded-xl bg-blue-600 px-4 py-2 text-sm font-medium text-white transition hover:bg-blue-700 disabled:cursor-not-allowed disabled:bg-slate-300"
+                      onclick={() => saveManualOverride(field)}
+                      disabled={disabled || isSaving}
+                    >
+                      {$t.dataset_review?.semantics?.save_manual_action}
+                    </button>
+                    <button
+                      type="button"
+                      class="inline-flex items-center justify-center rounded-xl border border-slate-300 px-4 py-2 text-sm font-medium text-slate-700 transition hover:bg-slate-50 disabled:cursor-not-allowed disabled:opacity-50"
+                      onclick={() => cancelManualEdit(field.field_id)}
+                      disabled={isSaving}
+                    >
+                      {$t.common?.cancel}
+                    </button>
+                  </div>
+                </div>
+              {/if}
+
+              <div class="mt-4">
+                <div class="flex items-center justify-between gap-2">
+                  <h4 class="text-sm font-semibold text-slate-900">
+                    {$t.dataset_review?.semantics?.candidates_title}
+                  </h4>
+                  <span class="rounded-full bg-slate-100 px-2.5 py-1 text-xs text-slate-700">
+                    {field.candidates?.length || 0}
+                  </span>
+                </div>
+
+                {#if !field.candidates?.length}
+                  <p class="mt-2 text-sm text-slate-600">
+                    {$t.dataset_review?.semantics?.candidates_empty}
+                  </p>
+                {:else}
+                  <div class="mt-3 space-y-3">
+                    {#each field.candidates as candidate}
+                      <div class="rounded-xl border border-slate-200 bg-white p-3">
+                        <div class="flex flex-col gap-3 lg:flex-row lg:items-start lg:justify-between">
+                          <div class="min-w-0 flex-1">
+                            <div class="flex flex-wrap items-center gap-2">
+                              <div class="text-sm font-medium text-slate-900">
+                                {candidate.proposed_verbose_name ||
+                                  $t.dataset_review?.semantics?.empty_value}
+                              </div>
+                              <span class="rounded-full bg-slate-100 px-2 py-0.5 text-xs text-slate-700">
+                                {candidate.match_type}
+                              </span>
+                              <span class="rounded-full bg-slate-100 px-2 py-0.5 text-xs text-slate-700">
+                                {$t.dataset_review?.semantics?.score_label}:
+                                {candidate.confidence_score}
+                              </span>
+                              <span class="rounded-full bg-slate-100 px-2 py-0.5 text-xs text-slate-700">
+                                {getCandidateStatusLabel(candidate.status)}
+                              </span>
+                            </div>
+
+                            <p class="mt-2 text-sm text-slate-700">
+                              {candidate.proposed_description ||
+                                $t.dataset_review?.semantics?.candidate_description_empty}
+                            </p>
+
+                            {#if candidate.proposed_display_format}
+                              <p class="mt-1 text-xs text-slate-500">
+                                {$t.dataset_review?.semantics?.display_format_label}:
+                                {candidate.proposed_display_format}
+                              </p>
+                            {/if}
+                          </div>
+
+                          <div class="flex shrink-0 flex-wrap gap-2">
+                            <button
+                              type="button"
+                              class="inline-flex items-center justify-center rounded-lg border border-slate-300 px-3 py-2 text-sm font-medium text-slate-700 transition hover:bg-slate-50 disabled:cursor-not-allowed disabled:opacity-50"
+                              onclick={() => acceptCandidate(field, candidate.candidate_id, false)}
+                              disabled={disabled || isSaving}
+                            >
+                              {$t.dataset_review?.semantics?.apply_candidate_action}
+                            </button>
+                            <button
+                              type="button"
+                              class="inline-flex items-center justify-center rounded-lg bg-blue-600 px-3 py-2 text-sm font-medium text-white transition hover:bg-blue-700 disabled:cursor-not-allowed disabled:bg-slate-300"
+                              onclick={() => acceptCandidate(field, candidate.candidate_id, true)}
+                              disabled={disabled || isSaving}
+                            >
+                              {$t.dataset_review?.semantics?.apply_and_lock_action}
+                            </button>
+                          </div>
+                        </div>
+                      </div>
+                    {/each}
+                  </div>
+                {/if}
+              </div>
+
+              {#if message.text || message.status === "saving"}
+                <div
+                  class={`mt-4 rounded-xl px-3 py-3 text-sm ${
+                    message.status === "error"
+                      ? "border border-red-200 bg-red-50 text-red-700"
+                      : message.status === "saving"
+                        ? "border border-blue-200 bg-blue-50 text-blue-700"
+                        : "border border-emerald-200 bg-emerald-50 text-emerald-800"
+                  }`}
+                >
+                  {message.status === "saving"
+                    ? $t.dataset_review?.semantics?.messages?.saving
+                    : message.text}
+                </div>
+              {/if}
+            </div>
+
+            <div class="flex shrink-0 flex-wrap gap-2 lg:w-52 lg:flex-col">
+              <button
+                type="button"
+                class="inline-flex items-center justify-center rounded-xl border border-slate-300 px-4 py-2 text-sm font-medium text-slate-700 transition hover:bg-slate-50 disabled:cursor-not-allowed disabled:opacity-50"
+                onclick={() => startManualEdit(field)}
+                disabled={disabled || isSaving}
+              >
+                {$t.dataset_review?.semantics?.manual_override_action}
+              </button>
+
+              <button
+                type="button"
+                class="inline-flex items-center justify-center rounded-xl border border-slate-300 px-4 py-2 text-sm font-medium text-slate-700 transition hover:bg-slate-50 disabled:cursor-not-allowed disabled:opacity-50"
+                onclick={() => mutateLock(field, field.is_locked ? "unlock" : "lock")}
+                disabled={disabled || isSaving}
+              >
+                {field.is_locked
+                  ? $t.dataset_review?.semantics?.unlock_action
+                  : $t.dataset_review?.semantics?.lock_action}
+              </button>
+
+              <div class="grid grid-cols-2 gap-2">
+                <button
+                  type="button"
+                  class="inline-flex items-center justify-center rounded-xl border border-slate-300 px-3 py-2 text-sm font-medium text-slate-700 transition hover:bg-slate-50 disabled:cursor-not-allowed disabled:opacity-50"
+                  onclick={() => recordFeedback(field.field_id, 'up')}
+                  disabled={disabled || isSaving}
+                >
+                  {$t.dataset_review?.semantics?.feedback_up_action}
+                </button>
+                <button
+                  type="button"
+                  class="inline-flex items-center justify-center rounded-xl border border-slate-300 px-3 py-2 text-sm font-medium text-slate-700 transition hover:bg-slate-50 disabled:cursor-not-allowed disabled:opacity-50"
+                  onclick={() => recordFeedback(field.field_id, 'down')}
+                  disabled={disabled || isSaving}
+                >
+                  {$t.dataset_review?.semantics?.feedback_down_action}
+                </button>
+              </div>
+            </div>
+          </div>
+        </article>
+      {/each}
+    </div>
+  {/if}
+</section>
+
+<!-- [/DEF:SemanticLayerReview:Component] -->

frontend/src/lib/components/dataset-review/__tests__/us2_semantic_clarification.ux.test.js

@@ -0,0 +1,412 @@
+/**
+ * @vitest-environment jsdom
+ */
+// @ts-nocheck
+// [DEF:DatasetReviewUs2UxTests:Module]
+// @COMPLEXITY: 3
+// @SEMANTICS: dataset-review, semantics, clarification, ux-tests, field-review
+// @PURPOSE: Verify US2 semantic field review and one-question clarification UX contracts.
+// @LAYER: UI
+// @RELATION: [VERIFIES] ->[SemanticLayerReview]
+// @RELATION: [VERIFIES] ->[ClarificationDialog]
+// @UX_STATE: Conflicted -> Semantic candidates and manual override affordances remain visible.
+// @UX_STATE: Question -> Clarification shows one active question, why-it-matters context, and resumable actions.
+// @TEST_CONTRACT: Us2DatasetReviewProps -> ObservableSemanticAndClarificationUx
+// @TEST_SCENARIO: semantic_review_surfaces_active_value_and_candidates -> Field-level semantic review shows provenance, candidates, and mutation callbacks.
+// @TEST_SCENARIO: clarification_dialog_shows_active_question_and_actions -> Clarification dialog renders one active question with answer and escalation actions.
+// @TEST_EDGE: missing_field -> Missing optional values still keep semantic summary readable.
+// @TEST_EDGE: external_fail -> Failed request surfaces inline recovery message.
+// @TEST_INVARIANT: us2_components_remain_actionable -> VERIFIED_BY: [semantic_review_surfaces_active_value_and_candidates, clarification_dialog_shows_active_question_and_actions]
+
+import { describe, it, expect, vi, beforeEach } from "vitest";
+import { render, screen, fireEvent, waitFor } from "@testing-library/svelte";
+import SemanticLayerReview from "../SemanticLayerReview.svelte";
+import ClarificationDialog from "../ClarificationDialog.svelte";
+import { requestApi } from "$lib/api.js";
+import { openAssistantChat } from "$lib/stores/assistantChat.js";
+
+const mockedRequestApi = /** @type {any} */ (requestApi);
+const mockedOpenAssistantChat = /** @type {any} */ (openAssistantChat);
+
+vi.mock("$lib/api.js", () => ({
+  requestApi: vi.fn(),
+}));
+
+vi.mock("$lib/stores/assistantChat.js", () => ({
+  openAssistantChat: vi.fn(),
+}));
+
+vi.mock("$lib/i18n", () => ({
+  t: {
+    subscribe: (fn) => {
+      fn({
+        common: {
+          error: "Common error",
+          cancel: "Cancel",
+        },
+        dataset_review: {
+          semantics: {
+            eyebrow: "Semantic layer",
+            title: "Review semantic field values",
+            description: "Review semantic candidates",
+            field_count_label: "Fields in review",
+            empty: "No semantic fields",
+            unknown_source: "Unknown source",
+            active_value_label: "Active semantic value",
+            provenance_label: "Provenance",
+            confidence_label: "Confidence",
+            confidence_unset: "No confidence rank",
+            confidence_rank_label: "Rank",
+            source_label: "Source",
+            changed_by_label: "Changed by",
+            locked_badge: "Locked",
+            unlocked_badge: "Unlocked",
+            conflict_badge: "Conflict",
+            needs_review_badge: "Needs review",
+            manual_verbose_name_label: "Manual verbose name",
+            manual_description_label: "Manual description",
+            manual_display_format_label: "Manual display format",
+            manual_override_action: "Manual override",
+            save_manual_action: "Save manual value",
+            lock_action: "Lock field",
+            unlock_action: "Unlock field",
+            feedback_up_action: "Thumbs up",
+            feedback_down_action: "Thumbs down",
+            candidates_title: "Candidate options",
+            candidates_empty: "No candidates",
+            candidate_description_empty: "No candidate description",
+            display_format_label: "Display format",
+            score_label: "Score",
+            apply_candidate_action: "Apply",
+            apply_and_lock_action: "Apply and lock",
+            empty_value: "No value",
+            provenance: {
+              unresolved: "Unresolved",
+              dictionary_exact: "Dictionary exact match",
+              manual_override: "Manual override",
+            },
+            candidate_status: {
+              pending: "Pending",
+              accepted: "Accepted",
+              superseded: "Superseded",
+            },
+            messages: {
+              saving: "Saving semantic decision...",
+              save_failed: "Failed to save semantic decision.",
+              manual_override_required: "Manual value required",
+              manual_saved: "Manual semantic value saved and locked.",
+              candidate_applied: "Candidate value applied.",
+              candidate_locked: "Candidate value applied and locked.",
+              locked: "Field locked against silent overwrite.",
+              unlocked: "Field unlocked for renewed review.",
+              feedback_up: "Positive feedback recorded.",
+              feedback_down: "Negative feedback recorded.",
+            },
+          },
+          clarification: {
+            eyebrow: "Clarification",
+            title: "Resolve one ambiguity at a time",
+            description: "One question at a time",
+            progress_label: "Clarification progress",
+            state_label: "Dialog state",
+            status_label: "Status",
+            remaining_label: "Remaining questions",
+            summary_delta_label: "Summary delta",
+            active_question_label: "Active question",
+            why_it_matters_label: "Why it matters",
+            current_guess_label: "Current guess",
+            current_guess_empty: "No current guess",
+            topic_label: "Topic",
+            options_title: "Available options",
+            recommended_badge: "Recommended",
+            custom_answer_label: "Custom answer",
+            answer_action: "Answer with selected option",
+            custom_answer_action: "Submit custom answer",
+            skip_action: "Skip for now",
+            assistant_action: "Open assistant guidance",
+            expert_review_action: "Send to expert review",
+            resume_action: "Resume clarification",
+            completed: "No active clarification question remains.",
+            feedback_label: "Clarification feedback",
+            feedback_prompt: "Record whether the clarification result was useful.",
+            feedback_up_action: "Helpful",
+            feedback_down_action: "Not helpful",
+            messages: {
+              saving: "Saving clarification answer...",
+              saved: "Clarification answer saved.",
+              skipped: "Question skipped and left resumable.",
+              expert_review_requested: "Question escalated to expert review.",
+              assistant_opened: "Assistant guidance opened.",
+              resumed: "Clarification resumed.",
+              resume_failed: "Failed to resume clarification.",
+              save_failed: "Failed to save clarification answer.",
+              feedback_up: "Positive clarification feedback recorded.",
+              feedback_down: "Negative clarification feedback recorded.",
+              feedback_failed: "Failed to save clarification feedback.",
+              option_required: "Option required",
+              custom_required: "Custom answer required",
+            },
+          },
+        },
+      });
+      return () => {};
+    },
+  },
+}));
+
+describe("Dataset review US2 component UX", () => {
+  beforeEach(() => {
+    vi.clearAllMocks();
+  });
+
+  it("semantic_review_surfaces_active_value_and_candidates", async () => {
+    requestApi.mockResolvedValue({
+      field_id: "field-1",
+      field_name: "customer_name",
+      field_kind: "dimension",
+      verbose_name: "Customer name",
+      description: "Customer display name",
+      display_format: "text",
+      provenance: "dictionary_exact",
+      source_id: "source-1",
+      confidence_rank: 1,
+      is_locked: false,
+      has_conflict: false,
+      needs_review: false,
+      last_changed_by: "user",
+      candidates: [],
+    });
+
+    const onupdated = vi.fn();
+
+    render(SemanticLayerReview, {
+      sessionId: "session-1",
+      semanticSources: [
+        {
+          source_id: "source-1",
+          display_name: "Trusted dictionary",
+          source_version: "v1",
+        },
+      ],
+      fields: [
+        {
+          field_id: "field-1",
+          field_name: "customer_name",
+          field_kind: "dimension",
+          verbose_name: "Customer name",
+          description: "Resolved from trusted dictionary",
+          display_format: "text",
+          provenance: "dictionary_exact",
+          source_id: "source-1",
+          confidence_rank: 1,
+          is_locked: false,
+          has_conflict: true,
+          needs_review: true,
+          last_changed_by: "system",
+          candidates: [
+            {
+              candidate_id: "candidate-1",
+              match_type: "exact",
+              confidence_score: 0.98,
+              proposed_verbose_name: "Customer name",
+              proposed_description: "Customer display name",
+              proposed_display_format: "text",
+              status: "pending",
+            },
+          ],
+        },
+      ],
+      onupdated,
+    });
+
+    expect(screen.getByText("Review semantic field values")).toBeDefined();
+    expect(screen.getByText("customer_name")).toBeDefined();
+    expect(screen.getByText("Conflict")).toBeDefined();
+    expect(screen.getByText("Needs review")).toBeDefined();
+    expect(screen.getByText("Candidate options")).toBeDefined();
+    expect(screen.getByText(/Trusted dictionary/)).toBeDefined();
+    expect(screen.getByText(/v1/)).toBeDefined();
+
+    await fireEvent.click(screen.getByRole("button", { name: "Apply" }));
+
+    await waitFor(() => {
+      expect(requestApi).toHaveBeenCalledWith(
+        "/dataset-orchestration/sessions/session-1/fields/field-1/semantic",
+        "PATCH",
+        {
+          candidate_id: "candidate-1",
+          lock_field: false,
+        },
+      );
+    });
+
+    expect(onupdated).toHaveBeenCalled();
+    expect(screen.getByText("Candidate value applied.")).toBeDefined();
+  });
+
+  it("clarification_dialog_shows_active_question_and_actions", async () => {
+    requestApi.mockResolvedValue({
+      clarification_state: {
+        clarification_session: {
+          clarification_session_id: "clarification-1",
+          session_id: "session-1",
+          status: "active",
+          current_question_id: "question-2",
+          resolved_count: 2,
+          remaining_count: 1,
+          summary_delta: "Updated summary",
+        },
+        current_question: {
+          question_id: "question-2",
+          clarification_session_id: "clarification-1",
+          topic_ref: "profile.summary",
+          question_text: "Which label should reviewers see?",
+          why_it_matters: "This label is reused in the workspace summary.",
+          current_guess: "Customer name",
+          options: [
+            {
+              option_id: "option-1",
+              value: "Customer name",
+              label: "Customer name",
+              is_recommended: true,
+            },
+          ],
+        },
+      },
+      session: {
+        session_id: "session-1",
+        readiness_state: "clarification_active",
+        recommended_action: "answer_next_question",
+      },
+      changed_findings: [],
+    });
+
+    const onupdated = vi.fn();
+
+    render(ClarificationDialog, {
+      sessionId: "session-1",
+      clarificationState: {
+        clarification_session: {
+          clarification_session_id: "clarification-1",
+          session_id: "session-1",
+          status: "active",
+          current_question_id: "question-1",
+          resolved_count: 1,
+          remaining_count: 2,
+          summary_delta: "Awaiting confirmation",
+        },
+        current_question: {
+          question_id: "question-1",
+          clarification_session_id: "clarification-1",
+          topic_ref: "profile.summary",
+          question_text: "Which customer label should be used?",
+          why_it_matters: "This label is shown to reviewers.",
+          current_guess: "Customer name",
+          options: [
+            {
+              option_id: "option-1",
+              value: "Customer name",
+              label: "Customer name",
+              is_recommended: true,
+            },
+          ],
+        },
+      },
+      onupdated,
+    });
+
+    expect(screen.getByText("Resolve one ambiguity at a time")).toBeDefined();
+    expect(screen.getByText("Which customer label should be used?")).toBeDefined();
+    expect(screen.getByText("This label is shown to reviewers.")).toBeDefined();
+    expect(screen.getAllByText("Customer name").length).toBeGreaterThan(0);
+    expect(screen.getByText("Recommended")).toBeDefined();
+
+    await fireEvent.click(
+      screen.getByRole("button", { name: "Open assistant guidance" }),
+    );
+
+    expect(openAssistantChat).toHaveBeenCalledTimes(1);
+    expect(screen.getByText("Assistant guidance opened.")).toBeDefined();
+
+    await fireEvent.click(
+      screen.getByRole("button", { name: "Answer with selected option" }),
+    );
+
+    await waitFor(() => {
+      expect(requestApi).toHaveBeenCalledWith(
+        "/dataset-orchestration/sessions/session-1/clarification/answers",
+        "POST",
+        {
+          question_id: "question-1",
+          answer_kind: "selected",
+          answer_value: "Customer name",
+        },
+      );
+    });
+
+    expect(onupdated).toHaveBeenCalled();
+    expect(screen.getByText("Clarification answer saved.")).toBeDefined();
+
+    mockedRequestApi.mockResolvedValueOnce({
+      target_id: "question-1",
+      feedback: "up",
+    });
+
+    await fireEvent.click(screen.getByRole("button", { name: "Helpful" }));
+
+    await waitFor(() => {
+      expect(requestApi).toHaveBeenCalledWith(
+        "/dataset-orchestration/sessions/session-1/clarification/questions/question-1/feedback",
+        "POST",
+        { feedback: "up" },
+      );
+    });
+
+    expect(
+      screen.getByText("Positive clarification feedback recorded."),
+    ).toBeDefined();
+  });
+
+  it("clarification_dialog_external_fail_surfaces_inline_error", async () => {
+    requestApi.mockRejectedValue(new Error("Clarification backend unavailable"));
+
+    render(ClarificationDialog, {
+      sessionId: "session-1",
+      clarificationState: {
+        clarification_session: {
+          clarification_session_id: "clarification-1",
+          session_id: "session-1",
+          status: "active",
+          current_question_id: "question-1",
+          resolved_count: 1,
+          remaining_count: 2,
+        },
+        current_question: {
+          question_id: "question-1",
+          clarification_session_id: "clarification-1",
+          topic_ref: "profile.summary",
+          question_text: "Which customer label should be used?",
+          why_it_matters: "This label is shown to reviewers.",
+          current_guess: "Customer name",
+          options: [
+            {
+              option_id: "option-1",
+              value: "Customer name",
+              label: "Customer name",
+              is_recommended: true,
+            },
+          ],
+        },
+      },
+    });
+
+    await fireEvent.click(
+      screen.getByRole("button", { name: "Answer with selected option" }),
+    );
+
+    await waitFor(() => {
+      expect(screen.getByText("Clarification backend unavailable")).toBeDefined();
+    });
+  });
+});
+// [/DEF:DatasetReviewUs2UxTests:Module]

frontend/src/lib/components/dataset-review/__tests__/us3_execution_batch.ux.test.js

@@ -0,0 +1,499 @@
+/**
+ * @vitest-environment jsdom
+ */
+// @ts-nocheck
+// [DEF:DatasetReviewUs3UxTests:Module]
+// @COMPLEXITY: 3
+// @SEMANTICS: dataset-review, execution, mapping, preview, launch, ux-tests
+// @PURPOSE: Verify US3 mapping review, Superset preview, and launch confirmation UX contracts.
+// @LAYER: UI
+// @RELATION: [VERIFIES] ->[ExecutionMappingReview]
+// @RELATION: [VERIFIES] ->[CompiledSQLPreview]
+// @RELATION: [VERIFIES] ->[LaunchConfirmationPanel]
+// @UX_STATE: WarningApproval -> Mapping review requires explicit approval or manual override.
+// @UX_STATE: Ready -> Preview and launch panels expose reviewed Superset-backed execution context.
+// @UX_STATE: Blocked -> Launch panel lists blockers instead of allowing hidden bypass.
+// @TEST_CONTRACT: Us3ExecutionProps -> ObservableExecutionUx
+// @TEST_SCENARIO: mapping_review_approves_warning_sensitive_row -> Approval persists and keeps blockers visible until cleared.
+// @TEST_SCENARIO: preview_panel_requests_superset_compilation_and_renders_sql -> Preview stays explicitly Superset-derived.
+// @TEST_SCENARIO: launch_panel_blocks_then_submits_sql_lab_launch -> Launch lists gates first and shows audited handoff after success.
+// @TEST_EDGE: missing_field -> Missing preview or run context remains readable.
+// @TEST_EDGE: external_fail -> Failed preview request surfaces inline error.
+// @TEST_EDGE: invalid_type -> Mixed values stringify without crashing.
+// @TEST_INVARIANT: execution_gates_remain_visible -> VERIFIED_BY: [mapping_review_approves_warning_sensitive_row, preview_panel_requests_superset_compilation_and_renders_sql, launch_panel_blocks_then_submits_sql_lab_launch]
+
+import { beforeEach, describe, expect, it, vi } from "vitest";
+import { fireEvent, render, screen, waitFor } from "@testing-library/svelte";
+import { requestApi } from "$lib/api.js";
+import ExecutionMappingReview from "../ExecutionMappingReview.svelte";
+import CompiledSQLPreview from "../CompiledSQLPreview.svelte";
+import LaunchConfirmationPanel from "../LaunchConfirmationPanel.svelte";
+
+vi.mock("$lib/api.js", () => ({
+  requestApi: vi.fn(),
+}));
+
+vi.mock("$lib/i18n", () => ({
+  t: {
+    subscribe: (fn) => {
+      fn({
+        common: {
+          error: "Common error",
+          cancel: "Cancel",
+          not_available: "N/A",
+          unknown: "Unknown",
+        },
+        dataset_review: {
+          mapping: {
+            eyebrow: "Template mapping",
+            title: "Review filter-to-template mappings",
+            description: "Verify imported filter values, effective execution values, and warning-sensitive transformations before preview or launch.",
+            state_label: "Mapping state",
+            state: {
+              Incomplete: "Incomplete",
+              WarningApproval: "Approval required",
+              Approved: "Approved",
+            },
+            pending_approvals_label: "Pending approvals",
+            required_values_label: "Missing required values",
+            empty: "No execution mappings are available yet.",
+            required_blockers_notice: "{count} required values still need attention before preview or launch can proceed.",
+            approval_notice: "{count} mapping transformations still need explicit approval.",
+            to_variable_label: "To variable",
+            required_badge: "Required",
+            approval_required_badge: "Approval required",
+            approved_badge: "Approved",
+            source_filter_label: "Source filter",
+            source_value_label: "Source value",
+            confidence_label: "Confidence",
+            recovery_label: "Recovery",
+            effective_value_label: "Effective value",
+            method_label: "Method",
+            approval_label: "Approval",
+            warning_label: "Warning",
+            transformation_note_label: "Transformation note",
+            missing_required_value: "This mapping still lacks a required effective value.",
+            manual_value_label: "Manual effective value",
+            manual_note_label: "Manual override note",
+            save_override_action: "Save manual override",
+            manual_override_action: "Manual override",
+            approve_action: "Approve mapping",
+            approve_all_action: "Approve all pending mappings",
+            approval_state: {
+              pending: "Pending",
+              approved: "Approved",
+              rejected: "Rejected",
+              not_required: "Not required",
+            },
+            warning_level: {
+              none: "None",
+              low: "Low",
+              medium: "Medium",
+              high: "High",
+            },
+            method: {
+              direct_match: "Direct match",
+              heuristic_match: "Heuristic match",
+              semantic_match: "Semantic match",
+              manual_override: "Manual override",
+            },
+            messages: {
+              saving: "Saving mapping decision...",
+              approval_saved: "Mapping approval recorded.",
+              approval_failed: "Failed to save mapping approval.",
+              override_saved: "Manual mapping override saved. Preview should be refreshed.",
+              override_failed: "Failed to save manual mapping override.",
+              required_value_missing: "Provide a required value before saving the manual override.",
+            },
+          },
+          preview: {
+            eyebrow: "Compiled SQL preview",
+            title: "Review Superset-compiled SQL",
+            description: "Preview truth comes only from Superset. Regenerate the preview whenever mappings or required inputs change.",
+            state_label: "Preview state",
+            state: {
+              missing: "Missing",
+              pending: "Pending",
+              ready: "Ready",
+              stale: "Stale",
+              failed: "Error",
+            },
+            generate_action: "Generate SQL preview",
+            generate_loading: "Generating preview...",
+            missing_body: "No Superset preview is available yet. Generate one before attempting launch.",
+            pending_body: "Superset is compiling the current execution context. Launch stays blocked until preview completes.",
+            ready_body: "This SQL preview was compiled by Superset for the current execution inputs.",
+            stale_body: "Mappings or effective values changed after the last successful preview. Regenerate before launch.",
+            error_body: "Superset could not compile the current execution context.",
+            compiler_label: "Compiled source",
+            compiled_by_superset: "Compiled by Superset",
+            compiled_source_unknown: "Compilation source unavailable",
+            fingerprint_label: "Preview fingerprint",
+            compiled_at_label: "Compiled at",
+            sql_block_title: "Superset SQL",
+            compiled_truth_note: "Exact SQL returned by Superset",
+            go_to_mapping_action: "Review mapping inputs",
+            review_inputs_action: "Review changed inputs",
+            messages: {
+              generated: "Superset preview refreshed.",
+              generate_failed: "Failed to generate Superset preview.",
+            },
+          },
+          launch: {
+            eyebrow: "Launch confirmation",
+            title: "Confirm SQL Lab launch",
+            description: "Launch remains blocked until preview truth, approvals, and readiness gates all match the reviewed execution context.",
+            state_label: "Launch state",
+            state: {
+              Blocked: "Blocked",
+              Ready: "Ready",
+              Submitted: "Submitted",
+            },
+            blocked_title: "Launch blockers",
+            blocked_body: "Resolve the items below before sending this dataset run to SQL Lab.",
+            resolve_action: "Open related area",
+            dataset_ref_label: "Dataset reference",
+            readiness_label: "Readiness",
+            approved_mappings_label: "Approved mappings",
+            preview_fingerprint_label: "Preview fingerprint",
+            sql_lab_target_title: "Launch target",
+            sql_lab_target_body: "The canonical launch target is a Superset SQL Lab session using the reviewed preview and effective execution inputs.",
+            preview_status_label: "Preview status",
+            compiled_by_label: "Compiled by",
+            launch_action: "Launch dataset",
+            launch_loading: "Launching dataset...",
+            submitted_title: "Launch submitted",
+            submitted_body: "SQL Lab handoff and audited run context were recorded for this launch request.",
+            run_context_label: "Run context",
+            sql_lab_session_label: "SQL Lab session",
+            launch_status_label: "Launch status",
+            preview_ref_label: "Preview reference",
+            blockers: {
+              blocking_finding: "Blocking findings remain unresolved",
+              mapping_approval_required: "Mapping approval is still required",
+              preview_missing: "Superset preview is required before launch",
+              preview_pending: "Preview generation is still in progress",
+              preview_stale: "Preview no longer matches the current execution inputs",
+              preview_failed: "Preview failed and launch remains blocked",
+              readiness_not_run_ready: "Session is not yet in run-ready state",
+              preview_fingerprint_missing: "Preview fingerprint is missing, so launch cannot be trusted",
+            },
+            messages: {
+              launch_started: "Dataset launch request sent to SQL Lab.",
+              launch_failed: "Failed to launch dataset in SQL Lab.",
+            },
+          },
+        },
+      });
+      return () => {};
+    },
+  },
+}));
+
+describe("Dataset review US3 execution UX", () => {
+  beforeEach(() => {
+    requestApi.mockReset();
+  });
+
+  it("mapping_review_approves_warning_sensitive_row", async () => {
+    requestApi.mockResolvedValueOnce({
+      mapping_id: "map-1",
+      filter_id: "filter-1",
+      variable_id: "var-1",
+      mapping_method: "direct_match",
+      raw_input_value: "DE",
+      effective_value: "DE",
+      transformation_note: "Trimmed imported value",
+      warning_level: "medium",
+      requires_explicit_approval: true,
+      approval_state: "approved",
+    });
+
+    const onupdated = vi.fn();
+
+    render(ExecutionMappingReview, {
+      sessionId: "session-1",
+      mappings: [
+        {
+          mapping_id: "map-1",
+          filter_id: "filter-1",
+          variable_id: "var-1",
+          mapping_method: "direct_match",
+          raw_input_value: "DE",
+          effective_value: "DE",
+          transformation_note: "Trimmed imported value",
+          warning_level: "medium",
+          requires_explicit_approval: true,
+          approval_state: "pending",
+        },
+      ],
+      importedFilters: [
+        {
+          filter_id: "filter-1",
+          filter_name: "country",
+          display_name: "Country",
+          raw_value: "DE",
+          normalized_value: "DE",
+          confidence_state: "imported",
+          recovery_status: "recovered",
+        },
+      ],
+      templateVariables: [
+        {
+          variable_id: "var-1",
+          variable_name: "country",
+          is_required: true,
+          default_value: null,
+        },
+      ],
+      onupdated,
+    });
+
+    expect(screen.getByText("Review filter-to-template mappings")).toBeDefined();
+    expect(screen.getByText("Approval required")).toBeDefined();
+    expect(screen.getByText("Country")).toBeDefined();
+    expect(screen.getByText(/Trimmed imported value/)).toBeDefined();
+
+    await fireEvent.click(screen.getByRole("button", { name: "Approve mapping" }));
+
+    await waitFor(() => {
+      expect(requestApi).toHaveBeenCalledWith(
+        "/dataset-orchestration/sessions/session-1/mappings/map-1/approve",
+        "POST",
+        { approval_note: "Trimmed imported value" },
+      );
+    });
+
+    expect(onupdated).toHaveBeenCalledWith({
+      mapping: expect.objectContaining({
+        mapping_id: "map-1",
+        approval_state: "approved",
+      }),
+      preview_state: "unchanged",
+    });
+    expect(screen.getByText("Mapping approval recorded.")).toBeDefined();
+  });
+
+  it("mapping_review_batch_approves_pending_rows", async () => {
+    requestApi.mockResolvedValueOnce([
+      {
+        mapping_id: "map-1",
+        filter_id: "filter-1",
+        variable_id: "var-1",
+        mapping_method: "direct_match",
+        raw_input_value: "DE",
+        effective_value: "DE",
+        transformation_note: "Trimmed imported value",
+        warning_level: "medium",
+        requires_explicit_approval: true,
+        approval_state: "approved",
+      },
+    ]);
+
+    const onupdated = vi.fn();
+
+    render(ExecutionMappingReview, {
+      sessionId: "session-1",
+      mappings: [
+        {
+          mapping_id: "map-1",
+          filter_id: "filter-1",
+          variable_id: "var-1",
+          mapping_method: "direct_match",
+          raw_input_value: "DE",
+          effective_value: "DE",
+          transformation_note: "Trimmed imported value",
+          warning_level: "medium",
+          requires_explicit_approval: true,
+          approval_state: "pending",
+        },
+      ],
+      importedFilters: [
+        {
+          filter_id: "filter-1",
+          filter_name: "country",
+          display_name: "Country",
+          raw_value: "DE",
+          normalized_value: "DE",
+          confidence_state: "imported",
+          recovery_status: "recovered",
+        },
+      ],
+      templateVariables: [
+        {
+          variable_id: "var-1",
+          variable_name: "country",
+          is_required: true,
+          default_value: null,
+        },
+      ],
+      onupdated,
+    });
+
+    await fireEvent.click(screen.getByRole("button", { name: "Approve all pending mappings" }));
+
+    await waitFor(() => {
+      expect(requestApi).toHaveBeenCalledWith(
+        "/dataset-orchestration/sessions/session-1/mappings/approve-batch",
+        "POST",
+        { mapping_ids: ["map-1"] },
+      );
+    });
+
+    expect(onupdated).toHaveBeenCalledWith({
+      mappings: expect.any(Array),
+      preview_state: "unchanged",
+    });
+  });
+
+  it("preview_panel_requests_superset_compilation_and_renders_sql", async () => {
+    requestApi.mockResolvedValueOnce({
+      preview_id: "preview-1",
+      session_id: "session-1",
+      preview_status: "ready",
+      compiled_sql: "SELECT * FROM sales WHERE country = 'DE'",
+      preview_fingerprint: "fingerprint-1",
+      compiled_by: "superset",
+      compiled_at: "2026-03-17T09:00:00Z",
+    });
+
+    const onupdated = vi.fn();
+
+    render(CompiledSQLPreview, {
+      sessionId: "session-1",
+      preview: null,
+      previewState: "missing",
+      onupdated,
+    });
+
+    expect(screen.getByText("Review Superset-compiled SQL")).toBeDefined();
+    expect(screen.getByText("No Superset preview is available yet. Generate one before attempting launch.")).toBeDefined();
+
+    await fireEvent.click(screen.getByRole("button", { name: "Generate SQL preview" }));
+
+    await waitFor(() => {
+      expect(requestApi).toHaveBeenCalledWith(
+        "/dataset-orchestration/sessions/session-1/preview",
+        "POST",
+      );
+    });
+
+    expect(onupdated).toHaveBeenCalledWith({
+      preview: expect.objectContaining({
+        preview_id: "preview-1",
+        compiled_by: "superset",
+      }),
+      preview_state: "ready",
+    });
+
+    requestApi.mockRejectedValueOnce(new Error("Superset compile failed"));
+
+    const onjump = vi.fn();
+    render(CompiledSQLPreview, {
+      sessionId: "session-1",
+      preview: {
+        preview_id: "preview-err",
+        preview_status: "failed",
+        preview_fingerprint: "fingerprint-err",
+        compiled_by: "superset",
+        error_details: "Variable country is invalid",
+      },
+      previewState: "failed",
+      onjump,
+    });
+
+    expect(screen.getByText("Variable country is invalid")).toBeDefined();
+
+    await fireEvent.click(screen.getByRole("button", { name: "Review mapping inputs" }));
+    expect(onjump).toHaveBeenCalledWith({ target: "mapping" });
+  });
+
+  it("launch_panel_blocks_then_submits_sql_lab_launch", async () => {
+    const onjump = vi.fn();
+    const { rerender } = render(LaunchConfirmationPanel, {
+      sessionId: "session-1",
+      session: {
+        dataset_ref: "public.sales",
+        readiness_state: "mapping_review_needed",
+      },
+      findings: [
+        {
+          severity: "blocking",
+          resolution_state: "open",
+          title: "Missing required value",
+          message: "country is required",
+          code: "REQ_COUNTRY",
+        },
+      ],
+      mappings: [
+        {
+          mapping_id: "map-1",
+          requires_explicit_approval: true,
+          approval_state: "pending",
+          transformation_note: "Europe -> EU",
+        },
+      ],
+      preview: null,
+      previewState: "missing",
+      onjump,
+    });
+
+    expect(screen.getByText("Launch blockers")).toBeDefined();
+    expect(screen.getByText("Blocking findings remain unresolved")).toBeDefined();
+    expect(screen.getByText("Mapping approval is still required")).toBeDefined();
+    expect(screen.getByText("Superset preview is required before launch")).toBeDefined();
+
+    await fireEvent.click(screen.getAllByRole("button", { name: "Open related area" })[1]);
+    expect(onjump).toHaveBeenCalledWith({ target: "mapping" });
+
+    requestApi.mockResolvedValueOnce({
+      run_context: {
+        run_context_id: "run-1",
+        sql_lab_session_ref: "sql-lab-77",
+        launch_status: "started",
+        preview_id: "preview-1",
+      },
+    });
+
+    await rerender({
+      sessionId: "session-1",
+      session: {
+        dataset_ref: "public.sales",
+        readiness_state: "run_ready",
+      },
+      findings: [],
+      mappings: [
+        {
+          mapping_id: "map-1",
+          requires_explicit_approval: true,
+          approval_state: "approved",
+          transformation_note: "Europe -> EU",
+        },
+      ],
+      preview: {
+        preview_id: "preview-1",
+        preview_status: "ready",
+        preview_fingerprint: "fingerprint-1",
+        compiled_by: "superset",
+      },
+      previewState: "ready",
+      onupdated: vi.fn(),
+      onjump,
+    });
+
+    expect(screen.getByText("Confirm SQL Lab launch")).toBeDefined();
+    expect(screen.getByText("Launch state: Ready")).toBeDefined();
+
+    await fireEvent.click(screen.getByRole("button", { name: "Launch dataset" }));
+
+    await waitFor(() => {
+      expect(requestApi).toHaveBeenCalledWith(
+        "/dataset-orchestration/sessions/session-1/launch",
+        "POST",
+      );
+    });
+
+    expect(screen.getByText("Dataset launch request sent to SQL Lab.")).toBeDefined();
+  });
+});
+// [/DEF:DatasetReviewUs3UxTests:Module]

frontend/src/lib/i18n/locales/en.json

@@ -664,6 +664,11 @@
       "export_failed": "Failed to export the requested review artifact.",
       "empty_state_title": "No session loaded",
       "state_label": "Workspace",
+      "state": {
+        "empty": "Empty",
+        "importing": "Importing",
+        "review": "Review"
+      },
       "readiness_label": "Readiness",
       "source_badge_fallback": "review session",
       "save_session_action": "Save session",
@@ -721,6 +726,8 @@
       "preview_compiler_label": "Compiled by",
       "preview_pending_note": "Compiled preview is not part of this US1 batch yet, but the workspace keeps the state visible when present.",
       "jump_target_label": "Focused area",
+      "semantic_review_visible": "Semantic review is active for field-level source decisions.",
+      "clarification_visible": "Clarification is available with one active question at a time.",
       "resume_action": "Resume session",
       "pause_action": "Pause session",
       "actions": {
@@ -765,6 +772,245 @@
         "low_confidence": "Low confidence",
         "unresolved": "Unresolved"
       }
+    },
+    "semantics": {
+      "eyebrow": "Semantic layer",
+      "title": "Review semantic field values",
+      "description": "Compare the active semantic value with ranked candidates, preserve provenance, and lock or unlock manual decisions explicitly.",
+      "field_count_label": "Fields in review",
+      "empty": "No semantic fields need review right now.",
+      "unknown_source": "Unknown source",
+      "active_value_label": "Active semantic value",
+      "provenance_label": "Provenance",
+      "confidence_label": "Confidence",
+      "confidence_unset": "No confidence rank",
+      "confidence_rank_label": "Rank",
+      "source_label": "Source",
+      "changed_by_label": "Changed by",
+      "locked_badge": "Locked",
+      "unlocked_badge": "Unlocked",
+      "conflict_badge": "Conflict",
+      "needs_review_badge": "Needs review",
+      "manual_verbose_name_label": "Manual verbose name",
+      "manual_description_label": "Manual description",
+      "manual_display_format_label": "Manual display format",
+      "manual_override_action": "Manual override",
+      "approve_all_action": "Approve visible candidates",
+      "save_manual_action": "Save manual value",
+      "lock_action": "Lock field",
+      "unlock_action": "Unlock field",
+      "feedback_up_action": "👍",
+      "feedback_down_action": "👎",
+      "candidates_title": "Candidate options",
+      "candidates_empty": "No ranked candidate options were returned for this field.",
+      "candidate_description_empty": "No description proposed for this candidate.",
+      "display_format_label": "Display format",
+      "score_label": "Score",
+      "apply_candidate_action": "Apply",
+      "apply_and_lock_action": "Apply & lock",
+      "empty_value": "No current value",
+      "provenance": {
+        "unresolved": "Unresolved",
+        "dictionary_exact": "Dictionary exact match",
+        "reference_imported": "Imported reference",
+        "ai_generated": "AI generated",
+        "fuzzy_inferred": "Fuzzy inferred",
+        "manual_override": "Manual override"
+      },
+      "candidate_status": {
+        "pending": "Pending",
+        "accepted": "Accepted",
+        "superseded": "Superseded",
+        "rejected": "Rejected"
+      },
+      "messages": {
+        "saving": "Saving semantic decision...",
+        "save_failed": "Failed to save semantic decision.",
+        "manual_override_required": "Provide at least one manual semantic value before saving.",
+        "manual_saved": "Manual semantic value saved and locked.",
+        "candidate_applied": "Candidate value applied.",
+        "candidate_locked": "Candidate value applied and locked.",
+        "locked": "Field locked against silent overwrite.",
+        "unlocked": "Field unlocked for renewed review.",
+        "feedback_up": "Positive feedback recorded for this semantic value.",
+        "feedback_down": "Negative feedback recorded for this semantic value."
+      }
+    },
+    "clarification": {
+      "eyebrow": "Clarification",
+      "title": "Resolve one ambiguity at a time",
+      "description": "Answer the active clarification question, skip it, or send it to expert review while progress stays resumable.",
+      "progress_label": "Clarification progress",
+      "state_label": "Dialog state",
+      "status_label": "Status",
+      "remaining_label": "Remaining questions",
+      "summary_delta_label": "Summary delta",
+      "active_question_label": "Active question",
+      "why_it_matters_label": "Why it matters",
+      "current_guess_label": "Current guess",
+      "current_guess_empty": "No current guess is available.",
+      "topic_label": "Topic reference",
+      "options_title": "Available options",
+      "recommended_badge": "Recommended",
+      "custom_answer_label": "Custom answer",
+      "answer_action": "Answer with selected option",
+      "custom_answer_action": "Submit custom answer",
+      "skip_action": "Skip for now",
+      "assistant_action": "Open assistant guidance",
+      "expert_review_action": "Send to expert review",
+      "resume_action": "Resume clarification",
+      "completed": "No active clarification question remains. The session can be resumed later if new ambiguity appears.",
+      "messages": {
+        "saving": "Saving clarification answer...",
+        "saved": "Clarification answer saved.",
+        "skipped": "Question skipped and left resumable.",
+        "expert_review_requested": "Question escalated to expert review.",
+        "assistant_opened": "Assistant guidance opened for this clarification step.",
+        "resumed": "Clarification resumed from the highest-priority unresolved question.",
+        "resume_failed": "Failed to resume clarification.",
+        "save_failed": "Failed to save clarification answer.",
+        "option_required": "Select an option before submitting the answer.",
+        "custom_required": "Enter a custom answer before submitting."
+      }
+    },
+    "mapping": {
+      "eyebrow": "Template mapping",
+      "title": "Review filter-to-template mappings",
+      "description": "Verify imported filter values, effective execution values, and warning-sensitive transformations before preview or launch.",
+      "state_label": "Mapping state",
+      "state": {
+        "Incomplete": "Incomplete",
+        "WarningApproval": "Approval required",
+        "Approved": "Approved"
+      },
+      "pending_approvals_label": "Pending approvals",
+      "required_values_label": "Missing required values",
+      "empty": "No execution mappings are available yet.",
+      "required_blockers_notice": "{count} required values still need attention before preview or launch can proceed.",
+      "approval_notice": "{count} mapping transformations still need explicit approval.",
+      "to_variable_label": "To variable",
+      "required_badge": "Required",
+      "approval_required_badge": "Approval required",
+      "approved_badge": "Approved",
+      "source_filter_label": "Source filter",
+      "source_value_label": "Source value",
+      "confidence_label": "Confidence",
+      "recovery_label": "Recovery",
+      "effective_value_label": "Effective value",
+      "method_label": "Method",
+      "approval_label": "Approval",
+      "warning_label": "Warning",
+      "transformation_note_label": "Transformation note",
+      "missing_required_value": "This mapping still lacks a required effective value.",
+      "manual_value_label": "Manual effective value",
+      "manual_note_label": "Manual override note",
+      "save_override_action": "Save manual override",
+      "manual_override_action": "Manual override",
+      "approve_action": "Approve mapping",
+      "approve_all_action": "Approve all pending mappings",
+      "approval_state": {
+        "pending": "Pending",
+        "approved": "Approved",
+        "rejected": "Rejected",
+        "not_required": "Not required"
+      },
+      "warning_level": {
+        "none": "None",
+        "low": "Low",
+        "medium": "Medium",
+        "high": "High"
+      },
+      "method": {
+        "direct_match": "Direct match",
+        "heuristic_match": "Heuristic match",
+        "semantic_match": "Semantic match",
+        "manual_override": "Manual override"
+      },
+      "messages": {
+        "saving": "Saving mapping decision...",
+        "approval_saved": "Mapping approval recorded.",
+        "approval_failed": "Failed to save mapping approval.",
+        "override_saved": "Manual mapping override saved. Preview should be refreshed.",
+        "override_failed": "Failed to save manual mapping override.",
+        "required_value_missing": "Provide a required value before saving the manual override."
+      }
+    },
+    "preview": {
+      "eyebrow": "Compiled SQL preview",
+      "title": "Review Superset-compiled SQL",
+      "description": "Preview truth comes only from Superset. Regenerate the preview whenever mappings or required inputs change.",
+      "state_label": "Preview state",
+      "state": {
+        "missing": "Missing",
+        "pending": "Pending",
+        "ready": "Ready",
+        "stale": "Stale",
+        "failed": "Error"
+      },
+      "generate_action": "Generate SQL preview",
+      "generate_loading": "Generating preview...",
+      "missing_body": "No Superset preview is available yet. Generate one before attempting launch.",
+      "pending_body": "Superset is compiling the current execution context. Launch stays blocked until preview completes.",
+      "ready_body": "This SQL preview was compiled by Superset for the current execution inputs.",
+      "stale_body": "Mappings or effective values changed after the last successful preview. Regenerate before launch.",
+      "error_body": "Superset could not compile the current execution context.",
+      "compiler_label": "Compiled source",
+      "compiled_by_superset": "Compiled by Superset",
+      "compiled_source_unknown": "Compilation source unavailable",
+      "fingerprint_label": "Preview fingerprint",
+      "compiled_at_label": "Compiled at",
+      "sql_block_title": "Superset SQL",
+      "compiled_truth_note": "Exact SQL returned by Superset",
+      "go_to_mapping_action": "Review mapping inputs",
+      "review_inputs_action": "Review changed inputs",
+      "messages": {
+        "generated": "Superset preview refreshed.",
+        "generate_failed": "Failed to generate Superset preview."
+      }
+    },
+    "launch": {
+      "eyebrow": "Launch confirmation",
+      "title": "Confirm SQL Lab launch",
+      "description": "Launch remains blocked until preview truth, approvals, and readiness gates all match the reviewed execution context.",
+      "state_label": "Launch state",
+      "state": {
+        "Blocked": "Blocked",
+        "Ready": "Ready",
+        "Submitted": "Submitted"
+      },
+      "blocked_title": "Launch blockers",
+      "blocked_body": "Resolve the items below before sending this dataset run to SQL Lab.",
+      "resolve_action": "Open related area",
+      "dataset_ref_label": "Dataset reference",
+      "readiness_label": "Readiness",
+      "approved_mappings_label": "Approved mappings",
+      "preview_fingerprint_label": "Preview fingerprint",
+      "sql_lab_target_title": "Launch target",
+      "sql_lab_target_body": "The canonical launch target is a Superset SQL Lab session using the reviewed preview and effective execution inputs.",
+      "preview_status_label": "Preview status",
+      "compiled_by_label": "Compiled by",
+      "launch_action": "Launch dataset",
+      "launch_loading": "Launching dataset...",
+      "submitted_title": "Launch submitted",
+      "submitted_body": "SQL Lab handoff and audited run context were recorded for this launch request.",
+      "run_context_label": "Run context",
+      "sql_lab_session_label": "SQL Lab session",
+      "launch_status_label": "Launch status",
+      "preview_ref_label": "Preview reference",
+      "blockers": {
+        "blocking_finding": "Blocking findings remain unresolved",
+        "mapping_approval_required": "Mapping approval is still required",
+        "preview_missing": "Superset preview is required before launch",
+        "preview_pending": "Preview generation is still in progress",
+        "preview_stale": "Preview no longer matches the current execution inputs",
+        "preview_failed": "Preview failed and launch remains blocked",
+        "readiness_not_run_ready": "Session is not yet in run-ready state",
+        "preview_fingerprint_missing": "Preview fingerprint is missing, so launch cannot be trusted"
+      },
+      "messages": {
+        "launch_started": "Dataset launch request sent to SQL Lab.",
+        "launch_failed": "Failed to launch dataset in SQL Lab."
+      }
     }
   },
   "tasks": {

frontend/src/lib/i18n/locales/ru.json

@@ -662,6 +662,11 @@
       "export_failed": "Не удалось экспортировать выбранный артефакт review.",
       "empty_state_title": "Сессия не загружена",
       "state_label": "Workspace",
+      "state": {
+        "empty": "Пусто",
+        "importing": "Импорт",
+        "review": "Проверка"
+      },
       "readiness_label": "Готовность",
       "source_badge_fallback": "review-сессия",
       "save_session_action": "Сохранить сессию",
@@ -719,6 +724,8 @@
       "preview_compiler_label": "Скомпилировано",
       "preview_pending_note": "Скомпилированный preview не входит в этот пакет US1, но workspace сохраняет его видимым, если он уже существует.",
       "jump_target_label": "Выбранная зона",
+      "semantic_review_visible": "Семантический review активен для полей с решениями по источникам.",
+      "clarification_visible": "Уточнение доступно в режиме одного активного вопроса.",
       "resume_action": "Возобновить сессию",
       "pause_action": "Поставить сессию на паузу",
       "actions": {
@@ -763,6 +770,245 @@
         "low_confidence": "Низкая уверенность",
         "unresolved": "Не разрешено"
       }
+    },
+    "semantics": {
+      "eyebrow": "Семантический слой",
+      "title": "Проверьте семантические значения полей",
+      "description": "Сравнивайте активное семантическое значение с ранжированными кандидатами, сохраняйте provenance и явно блокируйте или разблокируйте ручные решения.",
+      "field_count_label": "Поля в review",
+      "empty": "Семантические поля сейчас не требуют review.",
+      "unknown_source": "Неизвестный источник",
+      "active_value_label": "Активное семантическое значение",
+      "provenance_label": "Provenance",
+      "confidence_label": "Уверенность",
+      "confidence_unset": "Ранг уверенности отсутствует",
+      "confidence_rank_label": "Ранг",
+      "source_label": "Источник",
+      "changed_by_label": "Изменил",
+      "locked_badge": "Заблокировано",
+      "unlocked_badge": "Разблокировано",
+      "conflict_badge": "Конфликт",
+      "needs_review_badge": "Нужен review",
+      "manual_verbose_name_label": "Ручное verbose name",
+      "manual_description_label": "Ручное описание",
+      "manual_display_format_label": "Ручной display format",
+      "manual_override_action": "Ручное переопределение",
+      "approve_all_action": "Подтвердить видимые кандидаты",
+      "save_manual_action": "Сохранить ручное значение",
+      "lock_action": "Заблокировать поле",
+      "unlock_action": "Разблокировать поле",
+      "feedback_up_action": "👍",
+      "feedback_down_action": "👎",
+      "candidates_title": "Варианты кандидатов",
+      "candidates_empty": "Для этого поля не возвращены ранжированные кандидаты.",
+      "candidate_description_empty": "Для этого кандидата описание не предложено.",
+      "display_format_label": "Формат отображения",
+      "score_label": "Оценка",
+      "apply_candidate_action": "Применить",
+      "apply_and_lock_action": "Применить и заблокировать",
+      "empty_value": "Текущее значение отсутствует",
+      "provenance": {
+        "unresolved": "Не разрешено",
+        "dictionary_exact": "Точное совпадение словаря",
+        "reference_imported": "Импортированная ссылка",
+        "ai_generated": "Сгенерировано AI",
+        "fuzzy_inferred": "Нечеткий вывод",
+        "manual_override": "Ручное переопределение"
+      },
+      "candidate_status": {
+        "pending": "В ожидании",
+        "accepted": "Принято",
+        "superseded": "Заменено",
+        "rejected": "Отклонено"
+      },
+      "messages": {
+        "saving": "Сохранение семантического решения...",
+        "save_failed": "Не удалось сохранить семантическое решение.",
+        "manual_override_required": "Перед сохранением укажите хотя бы одно ручное семантическое значение.",
+        "manual_saved": "Ручное семантическое значение сохранено и заблокировано.",
+        "candidate_applied": "Значение кандидата применено.",
+        "candidate_locked": "Значение кандидата применено и заблокировано.",
+        "locked": "Поле заблокировано от тихой перезаписи.",
+        "unlocked": "Поле разблокировано для повторного review.",
+        "feedback_up": "Позитивный feedback для этого семантического значения сохранен.",
+        "feedback_down": "Негативный feedback для этого семантического значения сохранен."
+      }
+    },
+    "clarification": {
+      "eyebrow": "Уточнение",
+      "title": "Разрешайте неоднозначности по одному вопросу",
+      "description": "Ответьте на активный вопрос уточнения, пропустите его или отправьте на экспертный review, сохраняя возможность возобновления.",
+      "progress_label": "Прогресс уточнения",
+      "state_label": "Состояние диалога",
+      "status_label": "Статус",
+      "remaining_label": "Оставшиеся вопросы",
+      "summary_delta_label": "Изменение summary",
+      "active_question_label": "Активный вопрос",
+      "why_it_matters_label": "Почему это важно",
+      "current_guess_label": "Текущая гипотеза",
+      "current_guess_empty": "Текущая гипотеза отсутствует.",
+      "topic_label": "Ссылка на тему",
+      "options_title": "Доступные варианты",
+      "recommended_badge": "Рекомендовано",
+      "custom_answer_label": "Свой ответ",
+      "answer_action": "Ответить выбранным вариантом",
+      "custom_answer_action": "Отправить свой ответ",
+      "skip_action": "Пропустить пока",
+      "assistant_action": "Открыть помощь ассистента",
+      "expert_review_action": "Передать на экспертный review",
+      "resume_action": "Возобновить уточнение",
+      "completed": "Активных вопросов уточнения не осталось. Сессию можно возобновить позже, если появится новая неоднозначность.",
+      "messages": {
+        "saving": "Сохранение ответа на уточнение...",
+        "saved": "Ответ на уточнение сохранен.",
+        "skipped": "Вопрос пропущен и сохранен как возобновляемый.",
+        "expert_review_requested": "Вопрос отправлен на экспертный review.",
+        "assistant_opened": "Для этого шага уточнения открыта помощь ассистента.",
+        "resumed": "Уточнение возобновлено с самого приоритетного неразрешенного вопроса.",
+        "resume_failed": "Не удалось возобновить уточнение.",
+        "save_failed": "Не удалось сохранить ответ на уточнение.",
+        "option_required": "Перед отправкой выберите один вариант.",
+        "custom_required": "Перед отправкой введите свой ответ."
+      }
+    },
+    "mapping": {
+      "eyebrow": "Маппинг шаблонов",
+      "title": "Проверьте маппинг фильтров и шаблонов",
+      "description": "Проверьте импортированные значения фильтров, итоговые execution values и warning-преобразования перед preview или запуском.",
+      "state_label": "Состояние маппинга",
+      "state": {
+        "Incomplete": "Неполный",
+        "WarningApproval": "Требуется подтверждение",
+        "Approved": "Подтверждено"
+      },
+      "pending_approvals_label": "Ожидают подтверждения",
+      "required_values_label": "Отсутствуют обязательные значения",
+      "empty": "Execution mappings пока отсутствуют.",
+      "required_blockers_notice": "Еще {count} обязательных значений требуют внимания перед preview или запуском.",
+      "approval_notice": "Еще {count} преобразований маппинга требуют явного подтверждения.",
+      "to_variable_label": "В переменную",
+      "required_badge": "Обязательно",
+      "approval_required_badge": "Нужно подтверждение",
+      "approved_badge": "Подтверждено",
+      "source_filter_label": "Исходный фильтр",
+      "source_value_label": "Исходное значение",
+      "confidence_label": "Уверенность",
+      "recovery_label": "Восстановление",
+      "effective_value_label": "Итоговое значение",
+      "method_label": "Метод",
+      "approval_label": "Подтверждение",
+      "warning_label": "Предупреждение",
+      "transformation_note_label": "Комментарий к преобразованию",
+      "missing_required_value": "Для этого маппинга все еще отсутствует обязательное итоговое значение.",
+      "manual_value_label": "Ручное итоговое значение",
+      "manual_note_label": "Комментарий к ручному переопределению",
+      "save_override_action": "Сохранить ручное переопределение",
+      "manual_override_action": "Ручное переопределение",
+      "approve_action": "Подтвердить маппинг",
+      "approve_all_action": "Подтвердить все ожидающие маппинги",
+      "approval_state": {
+        "pending": "Ожидает",
+        "approved": "Подтверждено",
+        "rejected": "Отклонено",
+        "not_required": "Не требуется"
+      },
+      "warning_level": {
+        "none": "Нет",
+        "low": "Низкий",
+        "medium": "Средний",
+        "high": "Высокий"
+      },
+      "method": {
+        "direct_match": "Прямое совпадение",
+        "heuristic_match": "Эвристическое совпадение",
+        "semantic_match": "Семантическое совпадение",
+        "manual_override": "Ручное переопределение"
+      },
+      "messages": {
+        "saving": "Сохранение решения по маппингу...",
+        "approval_saved": "Подтверждение маппинга сохранено.",
+        "approval_failed": "Не удалось сохранить подтверждение маппинга.",
+        "override_saved": "Ручное переопределение маппинга сохранено. Preview нужно обновить.",
+        "override_failed": "Не удалось сохранить ручное переопределение маппинга.",
+        "required_value_missing": "Перед сохранением ручного переопределения укажите обязательное значение."
+      }
+    },
+    "preview": {
+      "eyebrow": "Скомпилированный SQL preview",
+      "title": "Проверьте SQL, скомпилированный Superset",
+      "description": "Истина preview приходит только от Superset. Перегенерируйте preview после изменений маппинга или обязательных входных значений.",
+      "state_label": "Состояние preview",
+      "state": {
+        "missing": "Отсутствует",
+        "pending": "Генерируется",
+        "ready": "Готов",
+        "stale": "Устарел",
+        "failed": "Ошибка"
+      },
+      "generate_action": "Сгенерировать SQL preview",
+      "generate_loading": "Генерация preview...",
+      "missing_body": "Preview от Superset пока отсутствует. Сгенерируйте его перед запуском.",
+      "pending_body": "Superset компилирует текущий execution context. Запуск остается заблокированным до завершения preview.",
+      "ready_body": "Этот SQL preview был скомпилирован Superset для текущих execution inputs.",
+      "stale_body": "После последнего успешного preview были изменены маппинги или итоговые значения. Перед запуском нужно перегенерировать preview.",
+      "error_body": "Superset не смог скомпилировать текущий execution context.",
+      "compiler_label": "Источник компиляции",
+      "compiled_by_superset": "Скомпилировано Superset",
+      "compiled_source_unknown": "Источник компиляции недоступен",
+      "fingerprint_label": "Fingerprint preview",
+      "compiled_at_label": "Время компиляции",
+      "sql_block_title": "SQL от Superset",
+      "compiled_truth_note": "Точный SQL, возвращенный Superset",
+      "go_to_mapping_action": "Проверить mapping inputs",
+      "review_inputs_action": "Проверить измененные inputs",
+      "messages": {
+        "generated": "Preview от Superset обновлен.",
+        "generate_failed": "Не удалось сгенерировать preview от Superset."
+      }
+    },
+    "launch": {
+      "eyebrow": "Подтверждение запуска",
+      "title": "Подтвердите запуск в SQL Lab",
+      "description": "Запуск остается заблокированным, пока preview, approvals и readiness gates не соответствуют проверенному execution context.",
+      "state_label": "Состояние запуска",
+      "state": {
+        "Blocked": "Заблокирован",
+        "Ready": "Готов",
+        "Submitted": "Отправлен"
+      },
+      "blocked_title": "Блокеры запуска",
+      "blocked_body": "Разрешите следующие пункты перед отправкой запуска датасета в SQL Lab.",
+      "resolve_action": "Открыть связанный раздел",
+      "dataset_ref_label": "Ссылка на датасет",
+      "readiness_label": "Готовность",
+      "approved_mappings_label": "Подтвержденные маппинги",
+      "preview_fingerprint_label": "Fingerprint preview",
+      "sql_lab_target_title": "Цель запуска",
+      "sql_lab_target_body": "Каноническая цель запуска — сессия Superset SQL Lab с использованием проверенного preview и итоговых execution inputs.",
+      "preview_status_label": "Статус preview",
+      "compiled_by_label": "Скомпилировано",
+      "launch_action": "Запустить датасет",
+      "launch_loading": "Запуск датасета...",
+      "submitted_title": "Запуск отправлен",
+      "submitted_body": "Передача в SQL Lab и аудитируемый run context были записаны для этого запроса запуска.",
+      "run_context_label": "Run context",
+      "sql_lab_session_label": "Сессия SQL Lab",
+      "launch_status_label": "Статус запуска",
+      "preview_ref_label": "Ссылка на preview",
+      "blockers": {
+        "blocking_finding": "Есть неразрешенные блокирующие findings",
+        "mapping_approval_required": "Маппинг все еще требует подтверждения",
+        "preview_missing": "Перед запуском требуется preview от Superset",
+        "preview_pending": "Preview все еще генерируется",
+        "preview_stale": "Preview больше не соответствует текущим execution inputs",
+        "preview_failed": "Preview завершился ошибкой, запуск заблокирован",
+        "readiness_not_run_ready": "Сессия еще не находится в состоянии run-ready",
+        "preview_fingerprint_missing": "Fingerprint preview отсутствует, поэтому запуску нельзя доверять"
+      },
+      "messages": {
+        "launch_started": "Запрос запуска датасета отправлен в SQL Lab.",
+        "launch_failed": "Не удалось запустить датасет в SQL Lab."
+      }
     }
   },
   "tasks": {

frontend/src/routes/datasets/review/[id]/+page.svelte

@@ -14,8 +14,8 @@
 <!-- @UX_STATE: Empty -> Show source intake with Superset link and dataset-selection entry actions. -->
 <!-- @UX_STATE: Importing -> Show progressive recovery milestones as context is assembled. -->
 <!-- @UX_STATE: Review -> Show summary, findings, semantic layer, filters, mapping, and next action. -->
-<!-- @UX_STATE: Clarification -> Reserved for later batch; current session still exposes the next-step intent. -->
-<!-- @UX_STATE: Ready -> Reserved for later batch; warnings stay visible and never disappear silently. -->
+<!-- @UX_STATE: Clarification -> Clarification panel mounts one active question at a time and exposes resumable answer plus feedback actions. -->
+<!-- @UX_STATE: Ready -> Preview, warnings, and next-step evidence stay visible without hiding US2 review controls. -->
 <!-- @UX_FEEDBACK: Main CTA changes by readiness state and reflects current highest-value next action. -->
 <!-- @UX_RECOVERY: Users can save, resume, or reopen an unfinished session without losing context. -->
 <!-- @UX_REACTIVITY: Uses Svelte runes for session, readiness, preview, and task state derivation. -->
@@ -26,6 +26,11 @@
   import { api } from "$lib/api.js";
   import SourceIntakePanel from "$lib/components/dataset-review/SourceIntakePanel.svelte";
   import ValidationFindingsPanel from "$lib/components/dataset-review/ValidationFindingsPanel.svelte";
+  import SemanticLayerReview from "$lib/components/dataset-review/SemanticLayerReview.svelte";
+  import ClarificationDialog from "$lib/components/dataset-review/ClarificationDialog.svelte";
+  import ExecutionMappingReview from "$lib/components/dataset-review/ExecutionMappingReview.svelte";
+  import CompiledSQLPreview from "$lib/components/dataset-review/CompiledSQLPreview.svelte";
+  import LaunchConfirmationPanel from "$lib/components/dataset-review/LaunchConfirmationPanel.svelte";
   import {
     setError,
     setLoading,
@@ -52,6 +57,9 @@
   let summaryDraft = $state("");
   let jumpTarget = $state("");
   let intakeAcknowledgment = $state("");
+  let clarificationState = $state(null);
+  let previewUiState = $state("");
+  let launchResult = $state(null);
 
   const routeSessionId = $derived(page.params.id || "");
   const environments = $derived(environmentContextState.current?.environments || []);
@@ -62,10 +70,10 @@
   );
   const currentWorkspaceState = $derived(
     !session
-      ? (isSubmitting ? "Importing" : "Empty")
+      ? (isSubmitting ? "importing" : "empty")
       : session.readiness_state === "importing"
-        ? "Importing"
-        : "Review",
+        ? "importing"
+        : "review",
   );
   const profile = $derived(session?.profile || null);
   const findings = $derived(session?.findings || []);
@@ -73,8 +81,14 @@
   const latestPreview = $derived(
     session?.previews?.length ? session.previews[session.previews.length - 1] : null,
   );
+  const executionMappings = $derived(session?.execution_mappings || []);
+  const templateVariables = $derived(session?.template_variables || []);
+  const latestRunContext = $derived(
+    session?.run_contexts?.length ? session.run_contexts[session.run_contexts.length - 1] : null,
+  );
   const exportDisabled = $derived(!session || isExporting);
   const saveDisabled = $derived(!session || isSubmitting);
+  const launchDisabled = $derived(!session || isSubmitting || isExporting);
   const blockingCount = $derived(
     findings.filter((finding) => finding.severity === "blocking").length,
   );
@@ -104,6 +118,14 @@
   const importMilestones = $derived(buildImportMilestones());
   const recentActions = $derived(buildRecentActions());
 
+  function getWorkspaceStateLabel(state) {
+    return $t.dataset_review?.workspace?.state?.[state] || state;
+  }
+
+  function getFallbackLabel(key, fallback = "") {
+    return $t.dataset_review?.workspace?.fallbacks?.[key] || fallback;
+  }
+
   function getRecommendedActionLabel(action) {
     const normalized = String(action || "import_from_superset");
     return $t.dataset_review?.workspace?.actions?.[normalized] || normalized;
@@ -114,7 +136,7 @@
     const filtersDone = importedFilters.length > 0;
     const variablesDone = Boolean(importedFilters.length || latestPreview);
     const semanticsDone = Boolean(profile?.business_summary || findings.length > 0);
-    const importState = currentWorkspaceState === "Importing";
+    const importState = currentWorkspaceState === "importing";
 
     return [
       {
@@ -154,7 +176,10 @@
       {
         key: "source",
         title: $t.dataset_review?.workspace?.timeline?.source,
-        detail: session.source_input || session.dataset_ref || "—",
+        detail:
+          session.source_input ||
+          session.dataset_ref ||
+          getFallbackLabel("empty_value", "—"),
       },
       {
         key: "status",
@@ -197,6 +222,7 @@
   async function loadSessionDetail(sessionId) {
     if (!sessionId) {
       session = null;
+      clarificationState = null;
       loadError = "";
       summaryDraft = "";
       resetSession();
@@ -210,8 +236,11 @@
     try {
       const detail = await api.fetchApi(`/dataset-orchestration/sessions/${sessionId}`);
       session = detail;
+      previewUiState = "";
+      launchResult = null;
       summaryDraft = detail?.profile?.business_summary || "";
       setSession(detail);
+      await loadClarificationState(detail);
     } catch (error) {
       loadError =
         error?.message ||
@@ -223,6 +252,21 @@
     }
   }
 
+  async function loadClarificationState(sessionDetail) {
+    if (!sessionDetail?.session_id || !sessionDetail?.clarification_sessions?.length) {
+      clarificationState = null;
+      return;
+    }
+
+    try {
+      clarificationState = await api.fetchApi(
+        `/dataset-orchestration/sessions/${sessionDetail.session_id}/clarification`,
+      );
+    } catch (error) {
+      clarificationState = null;
+    }
+  }
+
   async function bootstrapWorkspace() {
     isBootstrapping = true;
     await initializeEnvironmentContext();
@@ -341,6 +385,121 @@
     isEditingSummary = false;
   }
 
+  function handleSemanticUpdated(updatedField) {
+    if (!session || !updatedField) {
+      return;
+    }
+
+    if (Array.isArray(updatedField.fields)) {
+      const updatedLookup = new Map(updatedField.fields.map((field) => [field.field_id, field]));
+      session = {
+        ...session,
+        semantic_fields: (session.semantic_fields || []).map((field) =>
+          updatedLookup.get(field.field_id) || field,
+        ),
+      };
+      return;
+    }
+
+    if (!updatedField?.field_id) {
+      return;
+    }
+
+    session = {
+      ...session,
+      semantic_fields: (session.semantic_fields || []).map((field) =>
+        field.field_id === updatedField.field_id ? updatedField : field,
+      ),
+    };
+  }
+
+  function handleClarificationUpdated(result) {
+    if (!result) {
+      return;
+    }
+
+    if (result.clarification_state) {
+      clarificationState = result.clarification_state;
+    } else if (result.clarification_session || result.current_question !== undefined) {
+      clarificationState = result;
+    }
+
+    if (result.session && session) {
+      session = {
+        ...session,
+        ...result.session,
+      };
+    }
+  }
+
+  function handleExecutionMappingUpdated(result) {
+    if (!result || !session) {
+      return;
+    }
+
+    if (Array.isArray(result.mappings)) {
+      const updatedLookup = new Map(result.mappings.map((mapping) => [mapping.mapping_id, mapping]));
+      session = {
+        ...session,
+        execution_mappings: executionMappings.map((mapping) =>
+          updatedLookup.get(mapping.mapping_id) || mapping,
+        ),
+      };
+    } else if (result.mapping) {
+      session = {
+        ...session,
+        execution_mappings: executionMappings.map((mapping) =>
+          mapping.mapping_id === result.mapping.mapping_id ? result.mapping : mapping,
+        ),
+      };
+    } else {
+      return;
+    }
+
+    if (result.preview_state) {
+      previewUiState = result.preview_state;
+    }
+  }
+
+  function handlePreviewUpdated(result) {
+    if (!session || !result?.preview) {
+      return;
+    }
+
+    previewUiState = result.preview_state || result.preview.preview_status || "";
+    const existingPreviews = session.previews || [];
+    const nextPreviews = existingPreviews.some(
+      (item) => item.preview_id === result.preview.preview_id,
+    )
+      ? existingPreviews.map((item) =>
+          item.preview_id === result.preview.preview_id ? result.preview : item,
+        )
+      : [...existingPreviews, result.preview];
+
+    session = {
+      ...session,
+      previews: nextPreviews,
+      readiness_state:
+        result.preview.preview_status === "ready"
+          ? session.readiness_state === "run_ready"
+            ? "run_ready"
+            : "compiled_preview_ready"
+          : session.readiness_state,
+    };
+  }
+
+  function handleLaunchUpdated(result) {
+    if (!result) {
+      return;
+    }
+
+    launchResult = result.launch_result || result;
+  }
+
+  function handleSectionJump(event) {
+    jumpTarget = event?.target || "";
+  }
+
   function primaryActionHandler() {
     if (!session) {
       return;
@@ -351,6 +510,21 @@
       return;
     }
 
+    if (session.recommended_action === "generate_sql_preview") {
+      jumpTarget = "sql-preview";
+      return;
+    }
+
+    if (session.recommended_action === "approve_mapping") {
+      jumpTarget = "mapping";
+      return;
+    }
+
+    if (session.recommended_action === "launch_dataset") {
+      jumpTarget = "launch";
+      return;
+    }
+
     if (session.status === "active") {
       void updateSessionLifecycle("paused");
     }
@@ -383,7 +557,7 @@
         </span>
       {/if}
       <span class="rounded-full bg-slate-100 px-3 py-1 text-xs font-medium text-slate-700">
-        {$t.dataset_review?.workspace?.state_label}: {currentWorkspaceState}
+        {$t.dataset_review?.workspace?.state_label}: {getWorkspaceStateLabel(currentWorkspaceState)}
       </span>
       {#if session}
         <span class="rounded-full bg-blue-50 px-3 py-1 text-xs font-medium text-blue-700">
@@ -429,7 +603,7 @@
         onsubmit={handleSourceSubmit}
       />
 
-      {#if currentWorkspaceState === "Importing"}
+      {#if currentWorkspaceState === "importing"}
         <section class="rounded-2xl border border-blue-200 bg-blue-50 p-5 shadow-sm">
           <div class="flex items-start justify-between gap-3">
             <div>
@@ -444,7 +618,7 @@
               </p>
             </div>
             <span class="rounded-full bg-white px-3 py-1 text-xs font-medium text-blue-700">
-              {currentWorkspaceState}
+              {getWorkspaceStateLabel(currentWorkspaceState)}
             </span>
           </div>
 
@@ -499,7 +673,7 @@
                     {$t.dataset_review?.workspace?.import_status_title}
                   </div>
                   <div class="mt-1 text-sm font-medium text-slate-900">
-                    {currentWorkspaceState}
+                    {getWorkspaceStateLabel(currentWorkspaceState)}
                   </div>
                 </div>
                 <span class="rounded-full bg-white px-2.5 py-1 text-xs font-medium text-slate-700">
@@ -571,7 +745,8 @@
                   {profile?.dataset_name || session.dataset_ref}
                 </h2>
                 <p class="mt-1 text-sm text-slate-600">
-                  {profile?.schema_name || "—"} • {profile?.database_name || "—"}
+                  {profile?.schema_name || getFallbackLabel("empty_value", "—")} • {profile?.database_name ||
+                    getFallbackLabel("empty_value", "—")}
                 </p>
               </div>
 
@@ -741,6 +916,32 @@
               {/if}
             </div>
 
+            <SemanticLayerReview
+              sessionId={session.session_id}
+              semanticSources={session.semantic_sources || []}
+              fields={session.semantic_fields || []}
+              disabled={isSubmitting}
+              onupdated={handleSemanticUpdated}
+            />
+
+            {#if clarificationState || session.clarification_sessions?.length}
+              <ClarificationDialog
+                sessionId={session.session_id}
+                clarificationState={clarificationState}
+                disabled={isSubmitting}
+                onupdated={handleClarificationUpdated}
+              />
+            {/if}
+
+            <ExecutionMappingReview
+              sessionId={session.session_id}
+              mappings={executionMappings}
+              importedFilters={importedFilters}
+              templateVariables={templateVariables}
+              disabled={launchDisabled}
+              onupdated={handleExecutionMappingUpdated}
+            />
+
             <ValidationFindingsPanel
               findings={findings}
               recommendedAction={session.recommended_action}
@@ -866,27 +1067,27 @@
             {/if}
           </section>
 
-          <section class="rounded-2xl border border-slate-200 bg-white p-5 shadow-sm">
-            <h2 class="text-lg font-semibold text-slate-900">
-              {$t.dataset_review?.workspace?.preview_title}
-            </h2>
-            {#if latestPreview}
-              <div class="mt-3 space-y-2 text-sm text-slate-700">
-                <p>
-                  {$t.dataset_review?.workspace?.preview_status_label}:
-                  {latestPreview.preview_status}
-                </p>
-                <p>
-                  {$t.dataset_review?.workspace?.preview_compiler_label}:
-                  {latestPreview.compiled_by}
-                </p>
-              </div>
-            {:else}
-              <p class="mt-3 text-sm text-slate-600">
-                {$t.dataset_review?.workspace?.preview_pending_note}
-              </p>
-            {/if}
-          </section>
+          <CompiledSQLPreview
+            sessionId={session.session_id}
+            preview={latestPreview}
+            previewState={previewUiState}
+            disabled={launchDisabled}
+            onupdated={handlePreviewUpdated}
+            onjump={handleSectionJump}
+          />
+
+          <LaunchConfirmationPanel
+            sessionId={session.session_id}
+            session={session}
+            findings={findings}
+            mappings={executionMappings}
+            preview={latestPreview}
+            previewState={previewUiState}
+            latestRunContext={launchResult?.run_context || latestRunContext}
+            disabled={launchDisabled}
+            onupdated={handleLaunchUpdated}
+            onjump={handleSectionJump}
+          />
         </aside>
       </div>
     {/if}

frontend/src/routes/datasets/review/[id]/__tests__/dataset_review_workspace.ux.test.js

@@ -5,15 +5,16 @@
 // [DEF:DatasetReviewWorkspaceUxTests:Module]
 // @COMPLEXITY: 3
 // @SEMANTICS: dataset-review, workspace, route, ux-tests, review-state, exports, recovery
-// @PURPOSE: Verify US1 dataset review workspace flow evidence for empty, load, import, recovery, and export behaviors.
+// @PURPOSE: Verify US1-safe and US2-integrated dataset review workspace flow evidence for empty, load, import, semantics, clarification, and export behaviors.
 // @LAYER: UI
 // @RELATION: [VERIFIES] ->[DatasetReviewWorkspace]
 // @UX_STATE: Empty -> Intake-first workspace renders clear starting actions.
 // @UX_STATE: Importing -> Progressive milestones remain visible while review context is assembled.
-// @UX_STATE: Review -> Workspace exposes summary controls, timeline, findings, and export affordances.
+// @UX_STATE: Review -> Workspace exposes summary controls, mounted semantic review, clarification dialog, findings, and export affordances.
 // @TEST_CONTRACT: DatasetReviewWorkspaceDependencies -> ObservableWorkspaceUX
 // @TEST_SCENARIO: empty_state_renders_source_intake -> No session route data shows intake-first workspace.
 // @TEST_SCENARIO: session_load_surfaces_partial_recovery_state -> Existing session route shows review summary, findings, and partial recovery evidence.
+// @TEST_SCENARIO: session_load_mounts_us2_semantic_and_clarification_panels -> Existing session route mounts semantic review and clarification UI from real route integration.
 // @TEST_SCENARIO: import_submission_transitions_to_review_state -> Intake submit creates a session, navigates, and renders review state.
 // @TEST_SCENARIO: export_feedback_surfaces_success_and_error -> Export action exposes both artifact success detail and failure feedback.
 // @TEST_EDGE: missing_field -> Empty session context still renders stable workspace copy.
@@ -44,6 +45,7 @@ function createSessionDetail(overrides = {}) {
     active_task_id: "task-77",
     findings: [
       {
+        finding_id: "finding-1",
         title: "Missing semantic description",
         code: "SEM-1",
         area: "dataset_profile",
@@ -80,6 +82,82 @@ function createSessionDetail(overrides = {}) {
       confidence_state: "mostly_confirmed",
       business_summary: "Imported business description",
     },
+    semantic_sources: [
+      {
+        source_id: "source-1",
+        display_name: "Trusted dictionary",
+        source_version: "v1",
+      },
+    ],
+    semantic_fields: [
+      {
+        field_id: "field-1",
+        field_name: "customer_name",
+        field_kind: "dimension",
+        verbose_name: "Customer name",
+        description: "Resolved from trusted dictionary",
+        display_format: "text",
+        provenance: "dictionary_exact",
+        source_id: "source-1",
+        confidence_rank: 1,
+        is_locked: false,
+        has_conflict: true,
+        needs_review: true,
+        last_changed_by: "system",
+        candidates: [
+          {
+            candidate_id: "candidate-1",
+            match_type: "exact",
+            confidence_score: 0.98,
+            proposed_verbose_name: "Customer name",
+            proposed_description: "Customer display name",
+            proposed_display_format: "text",
+            status: "pending",
+          },
+        ],
+      },
+    ],
+    clarification_sessions: [
+      {
+        clarification_session_id: "clarification-1",
+        status: "active",
+        current_question_id: "question-1",
+        resolved_count: 1,
+        remaining_count: 2,
+        summary_delta: "Awaiting user confirmation",
+      },
+    ],
+    ...overrides,
+  };
+}
+
+function createClarificationState(overrides = {}) {
+  return {
+    clarification_session: {
+      clarification_session_id: "clarification-1",
+      session_id: "session-1",
+      status: "active",
+      current_question_id: "question-1",
+      resolved_count: 1,
+      remaining_count: 2,
+      summary_delta: "Awaiting user confirmation",
+    },
+    current_question: {
+      question_id: "question-1",
+      clarification_session_id: "clarification-1",
+      topic_ref: "profile.summary",
+      question_text: "Which customer label should be used?",
+      why_it_matters: "This label is shown to reviewers.",
+      current_guess: "Customer name",
+      options: [
+        {
+          option_id: "option-1",
+          value: "Customer name",
+          label: "Customer name",
+          is_recommended: true,
+        },
+      ],
+    },
     ...overrides,
   };
 }
@@ -239,6 +317,8 @@ vi.mock("$lib/i18n", () => ({
             resume_action: "Resume session",
             pause_action: "Pause session",
             jump_target_label: "Jump target",
+            semantic_review_visible: "Semantic review visible",
+            clarification_visible: "Clarification visible",
             health_title: "Review health",
             open_findings_label: "Open findings",
             exports_title: "Exports",
@@ -252,6 +332,108 @@ vi.mock("$lib/i18n", () => ({
             preview_status_label: "Preview status",
             preview_compiler_label: "Compiled by",
           },
+          semantics: {
+            eyebrow: "Semantic layer",
+            title: "Review semantic field values",
+            description: "Review semantic candidates",
+            field_count_label: "Fields in review",
+            empty: "No semantic fields",
+            unknown_source: "Unknown source",
+            active_value_label: "Active semantic value",
+            provenance_label: "Provenance",
+            confidence_label: "Confidence",
+            confidence_unset: "No confidence rank",
+            confidence_rank_label: "Rank",
+            source_label: "Source",
+            changed_by_label: "Changed by",
+            locked_badge: "Locked",
+            unlocked_badge: "Unlocked",
+            conflict_badge: "Conflict",
+            needs_review_badge: "Needs review",
+            manual_verbose_name_label: "Manual verbose name",
+            manual_description_label: "Manual description",
+            manual_display_format_label: "Manual display format",
+            manual_override_action: "Manual override",
+            save_manual_action: "Save manual value",
+            lock_action: "Lock field",
+            unlock_action: "Unlock field",
+            feedback_up_action: "Thumbs up",
+            feedback_down_action: "Thumbs down",
+            candidates_title: "Candidate options",
+            candidates_empty: "No candidates",
+            candidate_description_empty: "No candidate description",
+            display_format_label: "Display format",
+            score_label: "Score",
+            apply_candidate_action: "Apply",
+            apply_and_lock_action: "Apply and lock",
+            empty_value: "No value",
+            provenance: {
+              unresolved: "Unresolved",
+              dictionary_exact: "Dictionary exact match",
+              manual_override: "Manual override",
+            },
+            candidate_status: {
+              pending: "Pending",
+              accepted: "Accepted",
+              superseded: "Superseded",
+            },
+            messages: {
+              saving: "Saving semantic decision...",
+              save_failed: "Failed to save semantic decision.",
+              manual_override_required: "Manual value required",
+              manual_saved: "Manual semantic value saved and locked.",
+              candidate_applied: "Candidate value applied.",
+              candidate_locked: "Candidate value applied and locked.",
+              locked: "Field locked against silent overwrite.",
+              unlocked: "Field unlocked for renewed review.",
+              feedback_up: "Positive feedback recorded.",
+              feedback_down: "Negative feedback recorded.",
+            },
+          },
+          clarification: {
+            eyebrow: "Clarification",
+            title: "Resolve one ambiguity at a time",
+            description: "One question at a time",
+            progress_label: "Clarification progress",
+            state_label: "Dialog state",
+            status_label: "Status",
+            remaining_label: "Remaining questions",
+            summary_delta_label: "Summary delta",
+            active_question_label: "Active question",
+            why_it_matters_label: "Why it matters",
+            current_guess_label: "Current guess",
+            current_guess_empty: "No current guess",
+            topic_label: "Topic",
+            options_title: "Available options",
+            recommended_badge: "Recommended",
+            custom_answer_label: "Custom answer",
+            answer_action: "Answer with selected option",
+            custom_answer_action: "Submit custom answer",
+            skip_action: "Skip for now",
+            assistant_action: "Open assistant guidance",
+            expert_review_action: "Send to expert review",
+            resume_action: "Resume clarification",
+            completed: "No active clarification question remains.",
+            feedback_label: "Clarification feedback",
+            feedback_prompt: "Record whether the clarification result was useful.",
+            feedback_up_action: "Helpful",
+            feedback_down_action: "Not helpful",
+            messages: {
+              saving: "Saving clarification answer...",
+              saved: "Clarification answer saved.",
+              skipped: "Question skipped and left resumable.",
+              expert_review_requested: "Question escalated to expert review.",
+              assistant_opened: "Assistant guidance opened.",
+              resumed: "Clarification resumed.",
+              resume_failed: "Failed to resume clarification.",
+              save_failed: "Failed to save clarification answer.",
+              feedback_up: "Positive clarification feedback recorded.",
+              feedback_down: "Negative clarification feedback recorded.",
+              feedback_failed: "Failed to save clarification feedback.",
+              option_required: "Option required",
+              custom_required: "Custom answer required",
+            },
+          },
         },
       });
       return () => {};
@@ -311,7 +493,9 @@ describe("DatasetReviewWorkspace UX Contract", () => {
 
   it("session_load_surfaces_partial_recovery_state", async () => {
     routeState.id = "session-1";
-    api.fetchApi.mockResolvedValue(createSessionDetail());
+    api.fetchApi
+      .mockResolvedValueOnce(createSessionDetail())
+      .mockResolvedValueOnce(createClarificationState());
 
     render(DatasetReviewWorkspace);
 
@@ -319,10 +503,13 @@ describe("DatasetReviewWorkspace UX Contract", () => {
       expect(api.fetchApi).toHaveBeenCalledWith("/dataset-orchestration/sessions/session-1");
     });
 
+    await waitFor(() => {
+      expect(screen.getByText("Business summary")).toBeDefined();
+    });
+
     expect(screen.getByText("Workspace state: Review")).toBeDefined();
     expect(screen.getByText("Readiness: Partially ready")).toBeDefined();
     expect(screen.getAllByText("Sales Dataset").length).toBeGreaterThan(0);
-    expect(screen.getByText("Partial recovery")).toBeDefined();
     expect(screen.getAllByText("Recovered filters").length).toBeGreaterThan(0);
     expect(screen.getByText("Imported business description")).toBeDefined();
     expect(screen.getAllByRole("button", { name: "Save session" }).length).toBeGreaterThan(0);
@@ -332,9 +519,29 @@ describe("DatasetReviewWorkspace UX Contract", () => {
     expect(screen.getByText("Source accepted")).toBeDefined();
   });
 
+  it("session_load_mounts_us2_semantic_and_clarification_panels", async () => {
+    routeState.id = "session-1";
+    api.fetchApi
+      .mockResolvedValueOnce(createSessionDetail())
+      .mockResolvedValueOnce(createClarificationState());
+
+    render(DatasetReviewWorkspace);
+
+    await waitFor(() => {
+      expect(screen.getByText("Review semantic field values")).toBeDefined();
+    });
+
+    expect(screen.getByText("Resolve one ambiguity at a time")).toBeDefined();
+    expect(screen.getByText("customer_name")).toBeDefined();
+    expect(screen.getByText("Which customer label should be used?")).toBeDefined();
+    expect(screen.getAllByText("Customer name").length).toBeGreaterThan(0);
+  });
+
   it("summary_edit_affordance_updates_visible_draft", async () => {
     routeState.id = "session-1";
-    api.fetchApi.mockResolvedValue(createSessionDetail());
+    api.fetchApi
+      .mockResolvedValueOnce(createSessionDetail())
+      .mockResolvedValueOnce(createClarificationState());
 
     render(DatasetReviewWorkspace);
 
@@ -344,7 +551,7 @@ describe("DatasetReviewWorkspace UX Contract", () => {
 
     await fireEvent.click(screen.getByRole("button", { name: "[Edit]" }));
 
-    const summaryEditor = screen.getByRole("textbox");
+    const summaryEditor = screen.getAllByRole("textbox")[0];
     await fireEvent.input(summaryEditor, {
       target: { value: "Updated analyst-facing summary" },
     });
@@ -361,12 +568,17 @@ describe("DatasetReviewWorkspace UX Contract", () => {
     const createdSession = createSessionDetail();
     let resolveSessionLoad;
     api.postApi.mockResolvedValue({ session_id: "session-1" });
-    api.fetchApi.mockImplementation(
-      () =>
-        new Promise((resolve) => {
+    api.fetchApi.mockImplementation((url) => {
+      if (url === "/dataset-orchestration/sessions/session-1") {
+        return new Promise((resolve) => {
           resolveSessionLoad = resolve;
-        }),
-    );
+        });
+      }
+      if (url === "/dataset-orchestration/sessions/session-1/clarification") {
+        return Promise.resolve(createClarificationState());
+      }
+      return Promise.resolve(undefined);
+    });
 
     render(DatasetReviewWorkspace);
 
@@ -417,6 +629,7 @@ describe("DatasetReviewWorkspace UX Contract", () => {
     routeState.id = "session-1";
     api.fetchApi
       .mockResolvedValueOnce(createSessionDetail())
+      .mockResolvedValueOnce(createClarificationState())
       .mockResolvedValueOnce({
         artifact_type: "documentation",
         format: "json",

specs/027-dataset-llm-orchestration/contracts/modules.md

@@ -115,6 +115,7 @@ This document defines the semantic contracts for the core components of the Data
 # @PRE: selected source and target field set must be known.
 # @POST: candidate ranking follows the configured confidence hierarchy and unresolved fuzzy matches remain reviewable.
 # @SIDE_EFFECT: may create conflict findings and semantic candidate records.
+# @DATA_CONTRACT: Input[SemanticSourceSelection | SemanticFieldSet | ManualFieldDecision] -> Output[SemanticCandidateSet | RankedSemanticResolution | ValidationFindingSet]
 # @INVARIANT: Manual overrides are never silently replaced by imported, inferred, or AI-generated values.
 # @TEST_CONTRACT: rank_candidates -> exact dictionary beats reference import beats fuzzy beats AI draft
 # @TEST_SCENARIO: manual_lock_survives_reimport -> locked field remains active after another source is applied
@@ -156,6 +157,7 @@ This document defines the semantic contracts for the core components of the Data
 # @PRE: target session contains unresolved or contradictory review state.
 # @POST: every recorded answer updates the clarification session and associated session state deterministically.
 # @SIDE_EFFECT: creates clarification questions, persists answers, updates findings/profile state.
+# @DATA_CONTRACT: Input[ClarificationSessionState | ClarificationAnswerCommand] -> Output[ClarificationQuestionPayload | ClarificationProgressSnapshot | SessionReadinessDelta]
 # @INVARIANT: Clarification answers are persisted before the current question pointer or readiness state is advanced.
 # @TEST_CONTRACT: next_question_selection -> returns only one highest-priority unresolved question at a time
 # @TEST_SCENARIO: save_and_resume_clarification -> reopening session restores current question and prior answers
@@ -184,9 +186,10 @@ This document defines the semantic contracts for the core components of the Data
 # @COMPLEXITY: 4
 # @PURPOSE: Recover dataset, dashboard, filter, and runtime-template context from Superset links and related API payloads.
 # @LAYER: Infra
-# @RELATION: [CALLS] ->[SupersetClient]
 # @RELATION: [DEPENDS_ON] ->[ImportedFilter]
 # @RELATION: [DEPENDS_ON] ->[TemplateVariable]
+# @RELATION: [DEPENDS_ON] ->[backend.src.core.superset_client.SupersetClient]
+# @DATA_CONTRACT: Input[SupersetLink | DatasetReference | EnvironmentContext] -> Output[RecoveredSupersetContext | ImportedFilterSet | TemplateVariableSet | RecoverySummary]
 # @PRE: Superset link or dataset reference must be parseable enough to resolve an environment-scoped target resource.
 # @POST: returns the best available recovered context with explicit provenance and partial-recovery markers when necessary.
 # @SIDE_EFFECT: performs upstream Superset API reads.
@@ -218,9 +221,10 @@ This document defines the semantic contracts for the core components of the Data
 # @COMPLEXITY: 4
 # @PURPOSE: Interact with Superset preview compilation and SQL Lab execution endpoints using the current approved execution context.
 # @LAYER: Infra
-# @RELATION: [CALLS] ->[SupersetClient]
 # @RELATION: [DEPENDS_ON] ->[CompiledPreview]
 # @RELATION: [DEPENDS_ON] ->[DatasetRunContext]
+# @RELATION: [DEPENDS_ON] ->[backend.src.core.superset_client.SupersetClient]
+# @DATA_CONTRACT: Input[ApprovedExecutionContext | PreviewFingerprint | LaunchRequest] -> Output[CompiledPreview | PreviewFailureArtifact | DatasetRunContext | LaunchFailureAudit]
 # @PRE: effective template params and dataset execution reference are available.
 # @POST: preview and launch calls return Superset-originated artifacts or explicit errors.
 # @SIDE_EFFECT: performs upstream Superset preview and SQL Lab calls.

specs/027-dataset-llm-orchestration/tasks.md

@@ -50,12 +50,12 @@
 
 **Independent Test**: Open a session with unresolved findings; answer questions one by one and verify readiness state updates in real-time.
 
-- [ ] T021 [P] [US2] Implement `ClarificationEngine.build_question_payload` (CRITICAL: C4, PRE: unresolved state, POST: prioritized question) in `backend/src/services/dataset_review/clarification_engine.py`
-- [ ] T022 [US2] Implement `ClarificationEngine.record_answer` (CRITICAL: C4, PRE: question active, POST: answer persisted before state advance) in `backend/src/services/dataset_review/clarification_engine.py`
-- [ ] T023 [P] [US2] Implement field-level semantic override and lock endpoints in `backend/src/api/routes/dataset_review.py`
-- [ ] T024 [US2] Implement `SemanticLayerReview` component (C3, UX_STATE: Conflicted/Manual) in `frontend/src/lib/components/dataset-review/SemanticLayerReview.svelte`
-- [ ] T025 [P] [US2] Implement `ClarificationDialog` (C3, UX_STATE: Question/Saving/Completed, REL: binds to `assistantChat`) in `frontend/src/lib/components/dataset-review/ClarificationDialog.svelte`
-- [ ] T026 [US2] Implement LLM feedback (👍/👎) storage and UI handlers in `backend/src/api/routes/dataset_review.py`
+- [X] T021 [P] [US2] Implement `ClarificationEngine.build_question_payload` (CRITICAL: C4, PRE: unresolved state, POST: prioritized question) in `backend/src/services/dataset_review/clarification_engine.py`
+- [X] T022 [US2] Implement `ClarificationEngine.record_answer` (CRITICAL: C4, PRE: question active, POST: answer persisted before state advance) in `backend/src/services/dataset_review/clarification_engine.py`
+- [X] T023 [P] [US2] Implement field-level semantic override and lock endpoints in `backend/src/api/routes/dataset_review.py`
+- [X] T024 [US2] Implement `SemanticLayerReview` component (C3, UX_STATE: Conflicted/Manual) in `frontend/src/lib/components/dataset-review/SemanticLayerReview.svelte`
+- [X] T025 [P] [US2] Implement `ClarificationDialog` (C3, UX_STATE: Question/Saving/Completed, REL: binds to `assistantChat`) in `frontend/src/lib/components/dataset-review/ClarificationDialog.svelte`
+- [X] T026 [US2] Implement LLM feedback (👍/👎) storage and UI handlers in `backend/src/api/routes/dataset_review.py`
 - [ ] T027 [US2] Verify implementation matches ux_reference.md (Happy Path & Errors)
 - [ ] T028 [US2] Acceptance: Perform semantic audit & algorithm emulation by Tester
 
@@ -67,13 +67,13 @@
 
 **Independent Test**: Map filters to variables; trigger preview; verify launch blocked until preview succeeds; verify SQL Lab session creation.
 
-- [ ] T029 [P] [US3] Implement `SupersetContextExtractor.recover_imported_filters` and variable discovery in `backend/src/core/utils/superset_context_extractor.py`
-- [ ] T030 [US3] Implement `SupersetCompilationAdapter.compile_preview` (CRITICAL: C4, PRE: effective inputs available, POST: Superset-compiled SQL only) in `backend/src/core/utils/superset_compilation_adapter.py`
-- [ ] T031 [US3] Implement `DatasetReviewOrchestrator.launch_dataset` (CRITICAL: C5, PRE: run-ready + preview match, POST: audited run context) in `backend/src/services/dataset_review/orchestrator.py`
-- [ ] T032 [P] [US3] Implement mapping approval and preview trigger endpoints in `backend/src/api/routes/dataset_review.py`
-- [ ] T033 [P] [US3] Implement `ExecutionMappingReview` component (C3, UX_STATE: WarningApproval/Approved) in `frontend/src/lib/components/dataset-review/ExecutionMappingReview.svelte`
-- [ ] T034 [P] [US3] Implement `CompiledSQLPreview` component (C3, UX_STATE: Ready/Stale/Error) in `frontend/src/lib/components/dataset-review/CompiledSQLPreview.svelte`
-- [ ] T035 [US3] Implement `LaunchConfirmationPanel` (C3, UX_STATE: Blocked/Ready/Submitted) in `frontend/src/lib/components/dataset-review/LaunchConfirmationPanel.svelte`
+- [X] T029 [P] [US3] Implement `SupersetContextExtractor.recover_imported_filters` and variable discovery in `backend/src/core/utils/superset_context_extractor.py`
+- [X] T030 [US3] Implement `SupersetCompilationAdapter.compile_preview` (CRITICAL: C4, PRE: effective inputs available, POST: Superset-compiled SQL only) in `backend/src/core/utils/superset_compilation_adapter.py`
+- [X] T031 [US3] Implement `DatasetReviewOrchestrator.launch_dataset` (CRITICAL: C5, PRE: run-ready + preview match, POST: audited run context) in `backend/src/services/dataset_review/orchestrator.py`
+- [X] T032 [P] [US3] Implement mapping approval and preview trigger endpoints in `backend/src/api/routes/dataset_review.py`
+- [X] T033 [P] [US3] Implement `ExecutionMappingReview` component (C3, UX_STATE: WarningApproval/Approved) in `frontend/src/lib/components/dataset-review/ExecutionMappingReview.svelte`
+- [X] T034 [P] [US3] Implement `CompiledSQLPreview` component (C3, UX_STATE: Ready/Stale/Error) in `frontend/src/lib/components/dataset-review/CompiledSQLPreview.svelte`
+- [X] T035 [US3] Implement `LaunchConfirmationPanel` (C3, UX_STATE: Blocked/Ready/Submitted) in `frontend/src/lib/components/dataset-review/LaunchConfirmationPanel.svelte`
 - [ ] T036 [US3] Verify implementation matches ux_reference.md (Happy Path & Errors)
 - [ ] T037 [US3] Acceptance: Perform semantic audit & algorithm emulation by Tester