feat(us1): add dataset review orchestration automatic review slice

backend/src/api/routes/__init__.py

@@ -1,17 +1,18 @@
-# [DEF:backend.src.api.routes.__init__:Module]
+# [DEF:ApiRoutesModule:Module]
 # @COMPLEXITY: 3
 # @SEMANTICS: routes, lazy-import, module-registry
 # @PURPOSE: Provide lazy route module loading to avoid heavyweight imports during tests.
 # @LAYER: API
-# @RELATION: DEPENDS_ON -> importlib
+# @RELATION: [CALLS] ->[ApiRoutesGetAttr]
 # @INVARIANT: Only names listed in __all__ are importable via __getattr__.
 
-__all__ = ['plugins', 'tasks', 'settings', 'connections', 'environments', 'mappings', 'migration', 'git', 'storage', 'admin', 'reports', 'assistant', 'clean_release', 'profile']
+__all__ = ['plugins', 'tasks', 'settings', 'connections', 'environments', 'mappings', 'migration', 'git', 'storage', 'admin', 'reports', 'assistant', 'clean_release', 'profile', 'dataset_review']
 
 
-# [DEF:__getattr__:Function]
+# [DEF:ApiRoutesGetAttr:Function]
-# @COMPLEXITY: 1
+# @COMPLEXITY: 3
 # @PURPOSE: Lazily import route module by attribute name.
+# @RELATION: [DEPENDS_ON] ->[ApiRoutesModule]
 # @PRE: name is module candidate exposed in __all__.
 # @POST: Returns imported submodule or raises AttributeError.
 def __getattr__(name):
@@ -19,5 +20,5 @@ def __getattr__(name):
         import importlib
         return importlib.import_module(f".{name}", __name__)
     raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
-# [/DEF:__getattr__:Function]
+# [/DEF:ApiRoutesGetAttr:Function]
-# [/DEF:backend.src.api.routes.__init__:Module]
+# [/DEF:ApiRoutesModule:Module]

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

@@ -0,0 +1,349 @@
+# [DEF:DatasetReviewApiTests:Module]
+# @COMPLEXITY: 3
+# @SEMANTICS: dataset_review, api, tests, lifecycle, exports, orchestration
+# @PURPOSE: Verify backend US1 dataset review lifecycle, export, parsing, and dictionary-resolution contracts.
+# @LAYER: API
+# @RELATION: [BINDS_TO] ->[DatasetReviewApi]
+# @RELATION: [BINDS_TO] ->[DatasetReviewOrchestrator]
+
+from datetime import datetime, timezone
+import json
+from types import SimpleNamespace
+from unittest.mock import AsyncMock, MagicMock, patch
+
+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.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 (
+    BusinessSummarySource,
+    ConfidenceState,
+    DatasetReviewSession,
+    FindingArea,
+    FindingSeverity,
+    ReadinessState,
+    RecommendedAction,
+    ResolutionState,
+    SessionPhase,
+    SessionStatus,
+)
+from src.services.dataset_review.orchestrator import DatasetReviewOrchestrator, StartSessionCommand
+from src.services.dataset_review.semantic_resolver import SemanticSourceResolver
+
+
+client = TestClient(app)
+
+
+# [DEF:_make_user:Function]
+def _make_user():
+    admin_role = SimpleNamespace(name="Admin", permissions=[])
+    return SimpleNamespace(id="user-1", username="tester", roles=[admin_role])
+# [/DEF:_make_user:Function]
+
+
+# [DEF:_make_config_manager:Function]
+def _make_config_manager():
+    env = Environment(
+        id="env-1",
+        name="DEV",
+        url="http://superset.local",
+        username="demo",
+        password="secret",
+    )
+    config = AppConfig(environments=[env], settings=GlobalSettings())
+    manager = MagicMock()
+    manager.get_environment.side_effect = lambda env_id: env if env_id == "env-1" else None
+    manager.get_config.return_value = config
+    return manager
+# [/DEF:_make_config_manager:Function]
+
+
+# [DEF:_make_session:Function]
+def _make_session():
+    now = datetime.now(timezone.utc)
+    return DatasetReviewSession(
+        session_id="sess-1",
+        user_id="user-1",
+        environment_id="env-1",
+        source_kind="superset_link",
+        source_input="http://superset.local/dashboard/10",
+        dataset_ref="public.sales",
+        dataset_id=42,
+        dashboard_id=10,
+        readiness_state=ReadinessState.REVIEW_READY,
+        recommended_action=RecommendedAction.REVIEW_DOCUMENTATION,
+        status=SessionStatus.ACTIVE,
+        current_phase=SessionPhase.REVIEW,
+        created_at=now,
+        updated_at=now,
+        last_activity_at=now,
+    )
+# [/DEF:_make_session:Function]
+
+
+# [DEF:dataset_review_api_dependencies:Function]
+@pytest.fixture(autouse=True)
+def dataset_review_api_dependencies():
+    mock_user = _make_user()
+    config_manager = _make_config_manager()
+    task_manager = MagicMock()
+
+    app.dependency_overrides[get_current_user] = lambda: mock_user
+    app.dependency_overrides[get_config_manager] = lambda: config_manager
+    app.dependency_overrides[get_task_manager] = lambda: task_manager
+
+    yield {
+        "user": mock_user,
+        "config_manager": config_manager,
+        "task_manager": task_manager,
+    }
+    app.dependency_overrides.clear()
+# [/DEF:dataset_review_api_dependencies:Function]
+
+
+# [DEF:test_parse_superset_link_dashboard_partial_recovery:Function]
+# @PURPOSE: Verify dashboard links recover dataset context and preserve explicit partial-recovery markers.
+def test_parse_superset_link_dashboard_partial_recovery():
+    env = Environment(
+        id="env-1",
+        name="DEV",
+        url="http://superset.local",
+        username="demo",
+        password="secret",
+    )
+    fake_client = MagicMock()
+    fake_client.get_dashboard_detail.return_value = {
+        "datasets": [{"id": 42}, {"id": 77}],
+    }
+    fake_client.get_dataset_detail.return_value = {
+        "table_name": "sales",
+        "schema": "public",
+    }
+
+    extractor = SupersetContextExtractor(environment=env, client=fake_client)
+    result = extractor.parse_superset_link(
+        "http://superset.local/dashboard/10/?native_filters=%5B%7B%22name%22%3A%22country%22%2C%22value%22%3A%22DE%22%7D%5D"
+    )
+
+    assert result.dataset_id == 42
+    assert result.dashboard_id == 10
+    assert result.dataset_ref == "public.sales"
+    assert result.partial_recovery is True
+    assert "multiple_dashboard_datasets" in result.unresolved_references
+    assert result.imported_filters[0]["filter_name"] == "country"
+# [/DEF:test_parse_superset_link_dashboard_partial_recovery:Function]
+
+
+# [DEF:test_resolve_from_dictionary_prefers_exact_match:Function]
+# @PURPOSE: Verify trusted dictionary exact matches outrank fuzzy candidates and unresolved fields stay explicit.
+def test_resolve_from_dictionary_prefers_exact_match():
+    resolver = SemanticSourceResolver()
+    result = resolver.resolve_from_dictionary(
+        {
+            "source_ref": "dict://finance",
+            "rows": [
+                {
+                    "field_name": "revenue",
+                    "verbose_name": "Revenue",
+                    "description": "Recognized revenue amount",
+                    "display_format": "$,.2f",
+                },
+                {
+                    "field_name": "revnue",
+                    "verbose_name": "Revenue typo",
+                    "description": "Fuzzy variant",
+                },
+            ],
+        },
+        [
+            {"field_name": "revenue", "is_locked": False},
+            {"field_name": "margin", "is_locked": False},
+        ],
+    )
+
+    resolved_exact = next(item for item in result.resolved_fields if item["field_name"] == "revenue")
+    unresolved = next(item for item in result.resolved_fields if item["field_name"] == "margin")
+
+    assert resolved_exact["applied_candidate"]["match_type"] == "exact"
+    assert resolved_exact["provenance"] == "dictionary_exact"
+    assert unresolved["status"] == "unresolved"
+    assert "margin" in result.unresolved_fields
+    assert result.partial_recovery is True
+# [/DEF:test_resolve_from_dictionary_prefers_exact_match:Function]
+
+
+# [DEF:test_orchestrator_start_session_preserves_partial_recovery:Function]
+# @PURPOSE: Verify session start persists usable recovery-required state when Superset intake is partial.
+def test_orchestrator_start_session_preserves_partial_recovery(dataset_review_api_dependencies):
+    repository = MagicMock()
+    created_session = _make_session()
+    created_session.readiness_state = ReadinessState.RECOVERY_REQUIRED
+    created_session.current_phase = SessionPhase.RECOVERY
+
+    repository.create_session.return_value = created_session
+    repository.save_profile_and_findings.return_value = created_session
+    repository.db = MagicMock()
+
+    orchestrator = DatasetReviewOrchestrator(
+        repository=repository,
+        config_manager=dataset_review_api_dependencies["config_manager"],
+        task_manager=None,
+    )
+
+    parsed_context = SimpleNamespace(
+        dataset_ref="public.sales",
+        dataset_id=42,
+        dashboard_id=10,
+        chart_id=None,
+        partial_recovery=True,
+        unresolved_references=["dashboard_dataset_binding_missing"],
+    )
+
+    with patch(
+        "src.services.dataset_review.orchestrator.SupersetContextExtractor.parse_superset_link",
+        return_value=parsed_context,
+    ):
+        result = orchestrator.start_session(
+            StartSessionCommand(
+                user=dataset_review_api_dependencies["user"],
+                environment_id="env-1",
+                source_kind="superset_link",
+                source_input="http://superset.local/dashboard/10",
+            )
+        )
+
+    assert result.session.readiness_state == ReadinessState.RECOVERY_REQUIRED
+    assert result.findings
+    assert result.findings[0].severity.value == "warning"
+    repository.create_session.assert_called_once()
+    repository.save_profile_and_findings.assert_called_once()
+# [/DEF:test_orchestrator_start_session_preserves_partial_recovery:Function]
+
+
+# [DEF:test_start_session_endpoint_returns_created_summary:Function]
+# @PURPOSE: Verify POST session lifecycle endpoint returns a persisted ownership-scoped summary.
+def test_start_session_endpoint_returns_created_summary(dataset_review_api_dependencies):
+    session = _make_session()
+    orchestrator = MagicMock()
+    orchestrator.start_session.return_value = SimpleNamespace(session=session, findings=[], parsed_context=None)
+
+    app.dependency_overrides[_get_orchestrator] = lambda: orchestrator
+
+    response = client.post(
+        "/api/dataset-orchestration/sessions",
+        json={
+            "source_kind": "superset_link",
+            "source_input": "http://superset.local/dashboard/10",
+            "environment_id": "env-1",
+        },
+    )
+
+    assert response.status_code == 201
+    payload = response.json()
+    assert payload["session_id"] == "sess-1"
+    assert payload["dataset_ref"] == "public.sales"
+    assert payload["environment_id"] == "env-1"
+# [/DEF:test_start_session_endpoint_returns_created_summary:Function]
+
+
+# [DEF:test_get_session_detail_export_and_lifecycle_endpoints:Function]
+# @PURPOSE: Verify lifecycle get/patch/delete plus documentation and validation exports remain ownership-scoped and usable.
+def test_get_session_detail_export_and_lifecycle_endpoints(dataset_review_api_dependencies):
+    now = datetime.now(timezone.utc)
+    session = MagicMock(spec=DatasetReviewSession)
+    session.session_id = "sess-1"
+    session.user_id = "user-1"
+    session.environment_id = "env-1"
+    session.source_kind = "superset_link"
+    session.source_input = "http://superset.local/dashboard/10"
+    session.dataset_ref = "public.sales"
+    session.dataset_id = 42
+    session.dashboard_id = 10
+    session.readiness_state = ReadinessState.REVIEW_READY
+    session.recommended_action = RecommendedAction.REVIEW_DOCUMENTATION
+    session.status = SessionStatus.ACTIVE
+    session.current_phase = SessionPhase.REVIEW
+    session.created_at = now
+    session.updated_at = now
+    session.last_activity_at = now
+    session.profile = SimpleNamespace(
+        dataset_name="sales",
+        business_summary="Summary text",
+        confidence_state=ConfidenceState.MOSTLY_CONFIRMED,
+        dataset_type="unknown",
+        schema_name=None,
+        database_name=None,
+        business_summary_source=BusinessSummarySource.IMPORTED,
+        description=None,
+        is_sqllab_view=False,
+        completeness_score=None,
+        has_blocking_findings=False,
+        has_warning_findings=True,
+        manual_summary_locked=False,
+        created_at=now,
+        updated_at=now,
+        profile_id="profile-1",
+        session_id="sess-1",
+    )
+    session.findings = [
+        SimpleNamespace(
+            finding_id="f-1",
+            session_id="sess-1",
+            area=FindingArea.SOURCE_INTAKE,
+            severity=FindingSeverity.WARNING,
+            code="PARTIAL_SUPERSET_RECOVERY",
+            title="Partial",
+            message="Some filters require review",
+            resolution_state=ResolutionState.OPEN,
+            resolution_note=None,
+            caused_by_ref=None,
+            created_at=now,
+            resolved_at=None,
+        )
+    ]
+    session.collaborators = []
+    session.semantic_sources = []
+    session.semantic_fields = []
+    session.imported_filters = []
+    session.template_variables = []
+    session.execution_mappings = []
+    session.clarification_sessions = []
+    session.previews = []
+    session.run_contexts = []
+
+    repository = MagicMock()
+    repository.load_session_detail.return_value = session
+    repository.list_sessions_for_user.return_value = [session]
+    repository.db = MagicMock()
+
+    app.dependency_overrides[_get_repository] = lambda: repository
+
+    detail_response = client.get("/api/dataset-orchestration/sessions/sess-1")
+    assert detail_response.status_code == 200
+    assert detail_response.json()["session_id"] == "sess-1"
+
+    patch_response = client.patch(
+        "/api/dataset-orchestration/sessions/sess-1",
+        json={"status": "paused"},
+    )
+    assert patch_response.status_code == 200
+    assert patch_response.json()["status"] == "paused"
+
+    doc_response = client.get("/api/dataset-orchestration/sessions/sess-1/exports/documentation?format=json")
+    assert doc_response.status_code == 200
+    assert doc_response.json()["artifact_type"] == "documentation"
+
+    validation_response = client.get("/api/dataset-orchestration/sessions/sess-1/exports/validation?format=markdown")
+    assert validation_response.status_code == 200
+    assert validation_response.json()["artifact_type"] == "validation_report"
+    assert "Validation Report" in validation_response.json()["content"]["markdown"]
+
+    delete_response = client.delete("/api/dataset-orchestration/sessions/sess-1")
+    assert delete_response.status_code == 204
+# [/DEF:test_get_session_detail_export_and_lifecycle_endpoints:Function]
+
+# [/DEF:DatasetReviewApiTests:Module]

backend/src/api/routes/dataset_review.py

@@ -0,0 +1,533 @@
+# [DEF:DatasetReviewApi:Module]
+# @COMPLEXITY: 4
+# @SEMANTICS: dataset_review, api, session_lifecycle, exports, rbac, feature_flags
+# @PURPOSE: Expose dataset review session lifecycle and export endpoints for backend US1.
+# @LAYER: API
+# @RELATION: [DEPENDS_ON] ->[AppDependencies]
+# @RELATION: [DEPENDS_ON] ->[DatasetReviewSessionRepository]
+# @RELATION: [DEPENDS_ON] ->[DatasetReviewOrchestrator]
+# @PRE: Authenticated user and valid environment/session scope are required for all mutations and reads.
+# @POST: Returns ownership-scoped session state and export payloads with feature-flag/RBAC enforcement.
+# @SIDE_EFFECT: Persists session state and may enqueue recovery task.
+# @DATA_CONTRACT: Input[HTTP Request] -> Output[SessionSummary | SessionDetail | ExportArtifactResponse | HTTP 204]
+# @INVARIANT: No cross-user session leakage is allowed; export payloads only expose the current user's accessible session.
+
+from __future__ import annotations
+
+# [DEF:DatasetReviewApi.imports:Block]
+import json
+from typing import Any, Dict, List, Optional
+
+from fastapi import APIRouter, Depends, HTTPException, Query, Response, status
+from pydantic import BaseModel, Field
+from sqlalchemy.orm import Session
+
+from src.core.database import get_db
+from src.core.logger import belief_scope, logger
+from src.dependencies import get_config_manager, get_current_user, get_task_manager, has_permission
+from src.models.auth import User
+from src.models.dataset_review import (
+    ArtifactFormat,
+    DatasetReviewSession,
+    RecommendedAction,
+    SessionStatus,
+)
+from src.schemas.dataset_review import SessionDetail, SessionSummary
+from src.services.dataset_review.orchestrator import (
+    DatasetReviewOrchestrator,
+    StartSessionCommand,
+)
+from src.services.dataset_review.repositories.session_repository import (
+    DatasetReviewSessionRepository,
+)
+# [/DEF:DatasetReviewApi.imports:Block]
+
+router = APIRouter(prefix="/api/dataset-orchestration", tags=["Dataset Orchestration"])
+
+
+# [DEF:StartSessionRequest:Class]
+# @COMPLEXITY: 2
+# @PURPOSE: Request DTO for starting one dataset review session from a Superset link or dataset selection.
+class StartSessionRequest(BaseModel):
+    source_kind: str = Field(..., pattern="^(superset_link|dataset_selection)$")
+    source_input: str = Field(..., min_length=1)
+    environment_id: str = Field(..., min_length=1)
+# [/DEF:StartSessionRequest:Class]
+
+
+# [DEF:UpdateSessionRequest:Class]
+# @COMPLEXITY: 2
+# @PURPOSE: Request DTO for lifecycle state updates on an existing session.
+class UpdateSessionRequest(BaseModel):
+    status: SessionStatus
+    note: Optional[str] = None
+# [/DEF:UpdateSessionRequest:Class]
+
+
+# [DEF:SessionCollectionResponse:Class]
+# @COMPLEXITY: 2
+# @PURPOSE: Paginated ownership-scoped dataset review session collection response.
+class SessionCollectionResponse(BaseModel):
+    items: List[SessionSummary]
+    total: int
+    page: int
+    page_size: int
+    has_next: bool
+# [/DEF:SessionCollectionResponse:Class]
+
+
+# [DEF:ExportArtifactResponse:Class]
+# @COMPLEXITY: 2
+# @PURPOSE: Inline export response for documentation or validation outputs without introducing unrelated persistence changes.
+class ExportArtifactResponse(BaseModel):
+    artifact_id: str
+    session_id: str
+    artifact_type: str
+    format: str
+    storage_ref: str
+    created_by_user_id: str
+    created_at: Optional[str] = None
+    content: Dict[str, Any]
+# [/DEF:ExportArtifactResponse:Class]
+
+
+# [DEF:_require_auto_review_flag:Function]
+# @COMPLEXITY: 3
+# @PURPOSE: Guard US1 dataset review endpoints behind the configured feature flag.
+# @RELATION: [DEPENDS_ON] ->[ConfigManager]
+def _require_auto_review_flag(config_manager=Depends(get_config_manager)) -> bool:
+    with belief_scope("dataset_review.require_auto_review_flag"):
+        if not config_manager.get_config().settings.ff_dataset_auto_review:
+            raise HTTPException(
+                status_code=status.HTTP_404_NOT_FOUND,
+                detail="Dataset auto review feature is disabled",
+            )
+        return True
+# [/DEF:_require_auto_review_flag:Function]
+
+
+# [DEF:_get_repository:Function]
+# @COMPLEXITY: 2
+# @PURPOSE: Build repository dependency for dataset review session aggregate access.
+def _get_repository(db: Session = Depends(get_db)) -> DatasetReviewSessionRepository:
+    return DatasetReviewSessionRepository(db)
+# [/DEF:_get_repository:Function]
+
+
+# [DEF:_get_orchestrator:Function]
+# @COMPLEXITY: 3
+# @PURPOSE: Build orchestrator dependency for session lifecycle actions.
+# @RELATION: [DEPENDS_ON] ->[DatasetReviewOrchestrator]
+def _get_orchestrator(
+    repository: DatasetReviewSessionRepository = Depends(_get_repository),
+    config_manager=Depends(get_config_manager),
+    task_manager=Depends(get_task_manager),
+) -> DatasetReviewOrchestrator:
+    return DatasetReviewOrchestrator(
+        repository=repository,
+        config_manager=config_manager,
+        task_manager=task_manager,
+    )
+# [/DEF:_get_orchestrator:Function]
+
+
+# [DEF:_serialize_session_summary:Function]
+# @COMPLEXITY: 3
+# @PURPOSE: Map SQLAlchemy session aggregate root into stable API summary DTO.
+# @RELATION: [DEPENDS_ON] ->[SessionSummary]
+def _serialize_session_summary(session: DatasetReviewSession) -> SessionSummary:
+    return SessionSummary.model_validate(session, from_attributes=True)
+# [/DEF:_serialize_session_summary:Function]
+
+
+# [DEF:_serialize_session_detail:Function]
+# @COMPLEXITY: 3
+# @PURPOSE: Map SQLAlchemy session aggregate root into stable API detail DTO.
+# @RELATION: [DEPENDS_ON] ->[SessionDetail]
+def _serialize_session_detail(session: DatasetReviewSession) -> SessionDetail:
+    return SessionDetail.model_validate(session, from_attributes=True)
+# [/DEF:_serialize_session_detail:Function]
+
+
+# [DEF:_get_owned_session_or_404:Function]
+# @COMPLEXITY: 4
+# @PURPOSE: Resolve one session for current user or collaborator scope, returning 404 when inaccessible.
+# @RELATION: [CALLS] ->[load_detail]
+# @PRE: session_id is a non-empty identifier and current_user is authenticated.
+# @POST: returns accessible session detail or raises HTTP 404 without leaking foreign-session existence.
+# @SIDE_EFFECT: none.
+# @DATA_CONTRACT: Input[session_id:str,current_user:User] -> Output[DatasetReviewSession|HTTPException]
+def _get_owned_session_or_404(
+    repository: DatasetReviewSessionRepository,
+    session_id: str,
+    current_user: User,
+) -> DatasetReviewSession:
+    with belief_scope("dataset_review.get_owned_session_or_404"):
+        session = repository.load_session_detail(session_id, current_user.id)
+        if session is None:
+            logger.explore(
+                "Dataset review session not found in current ownership scope",
+                extra={"session_id": session_id, "user_id": current_user.id},
+            )
+            raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail="Session not found")
+        return session
+# [/DEF:_get_owned_session_or_404:Function]
+
+
+# [DEF:_build_documentation_export:Function]
+# @COMPLEXITY: 3
+# @PURPOSE: Produce session documentation export content from current persisted review state.
+# @RELATION: [DEPENDS_ON] ->[DatasetReviewSession]
+def _build_documentation_export(session: DatasetReviewSession, export_format: ArtifactFormat) -> Dict[str, Any]:
+    profile = session.profile
+    findings = sorted(session.findings, key=lambda item: (item.severity.value, item.code))
+    if export_format == ArtifactFormat.MARKDOWN:
+        lines = [
+            f"# Dataset Review: {session.dataset_ref}",
+            "",
+            f"- Session ID: {session.session_id}",
+            f"- Environment: {session.environment_id}",
+            f"- Readiness: {session.readiness_state.value}",
+            f"- Recommended action: {session.recommended_action.value}",
+            "",
+            "## Business Summary",
+            profile.business_summary if profile else "No profile summary available.",
+            "",
+            "## Findings",
+        ]
+        if findings:
+            for finding in findings:
+                lines.append(
+                    f"- [{finding.severity.value}] {finding.title}: {finding.message}"
+                )
+        else:
+            lines.append("- No findings recorded.")
+        content = {"markdown": "\n".join(lines)}
+        storage_ref = f"inline://dataset-review/{session.session_id}/documentation.md"
+    else:
+        content = {
+            "session": _serialize_session_summary(session).model_dump(mode="json"),
+            "profile": profile and {
+                "dataset_name": profile.dataset_name,
+                "business_summary": profile.business_summary,
+                "confidence_state": profile.confidence_state.value,
+                "dataset_type": profile.dataset_type,
+            },
+            "findings": [
+                {
+                    "code": finding.code,
+                    "severity": finding.severity.value,
+                    "title": finding.title,
+                    "message": finding.message,
+                    "resolution_state": finding.resolution_state.value,
+                }
+                for finding in findings
+            ],
+        }
+        storage_ref = f"inline://dataset-review/{session.session_id}/documentation.json"
+    return {"storage_ref": storage_ref, "content": content}
+# [/DEF:_build_documentation_export:Function]
+
+
+# [DEF:_build_validation_export:Function]
+# @COMPLEXITY: 3
+# @PURPOSE: Produce validation-focused export content from persisted findings and readiness state.
+# @RELATION: [DEPENDS_ON] ->[DatasetReviewSession]
+def _build_validation_export(session: DatasetReviewSession, export_format: ArtifactFormat) -> Dict[str, Any]:
+    findings = sorted(session.findings, key=lambda item: (item.severity.value, item.code))
+    if export_format == ArtifactFormat.MARKDOWN:
+        lines = [
+            f"# Validation Report: {session.dataset_ref}",
+            "",
+            f"- Session ID: {session.session_id}",
+            f"- Readiness: {session.readiness_state.value}",
+            "",
+            "## Findings",
+        ]
+        if findings:
+            for finding in findings:
+                lines.append(
+                    f"- `{finding.code}` [{finding.severity.value}] {finding.message}"
+                )
+        else:
+            lines.append("- No findings recorded.")
+        content = {"markdown": "\n".join(lines)}
+        storage_ref = f"inline://dataset-review/{session.session_id}/validation.md"
+    else:
+        content = {
+            "session_id": session.session_id,
+            "dataset_ref": session.dataset_ref,
+            "readiness_state": session.readiness_state.value,
+            "findings": [
+                {
+                    "finding_id": finding.finding_id,
+                    "area": finding.area.value,
+                    "severity": finding.severity.value,
+                    "code": finding.code,
+                    "title": finding.title,
+                    "message": finding.message,
+                    "resolution_state": finding.resolution_state.value,
+                }
+                for finding in findings
+            ],
+        }
+        storage_ref = f"inline://dataset-review/{session.session_id}/validation.json"
+    return {"storage_ref": storage_ref, "content": content}
+# [/DEF:_build_validation_export:Function]
+
+
+# [DEF:list_sessions:Function]
+# @COMPLEXITY: 3
+# @PURPOSE: List resumable dataset review sessions for the current user.
+# @RELATION: [CALLS] ->[list_user_sess]
+@router.get(
+    "/sessions",
+    response_model=SessionCollectionResponse,
+    dependencies=[
+        Depends(_require_auto_review_flag),
+        Depends(has_permission("dataset:session", "READ")),
+    ],
+)
+async def list_sessions(
+    page: int = Query(1, ge=1),
+    page_size: int = Query(20, ge=1, le=100),
+    repository: DatasetReviewSessionRepository = Depends(_get_repository),
+    current_user: User = Depends(get_current_user),
+):
+    with belief_scope("dataset_review.list_sessions"):
+        sessions = repository.list_sessions_for_user(current_user.id)
+        start = (page - 1) * page_size
+        end = start + page_size
+        items = [_serialize_session_summary(session) for session in sessions[start:end]]
+        return SessionCollectionResponse(
+            items=items,
+            total=len(sessions),
+            page=page,
+            page_size=page_size,
+            has_next=end < len(sessions),
+        )
+# [/DEF:list_sessions:Function]
+
+
+# [DEF:start_session:Function]
+# @COMPLEXITY: 4
+# @PURPOSE: Start a new dataset review session from a Superset link or dataset selection.
+# @RELATION: [CALLS] ->[DatasetReviewOrchestrator.start_session]
+# @PRE: feature flag enabled, user authenticated, and request body valid.
+# @POST: returns persisted session summary scoped to the authenticated user.
+# @SIDE_EFFECT: persists session/profile/findings and may enqueue recovery task.
+# @DATA_CONTRACT: Input[StartSessionRequest] -> Output[SessionSummary]
+@router.post(
+    "/sessions",
+    response_model=SessionSummary,
+    status_code=status.HTTP_201_CREATED,
+    dependencies=[
+        Depends(_require_auto_review_flag),
+        Depends(has_permission("dataset:session", "MANAGE")),
+    ],
+)
+async def start_session(
+    request: StartSessionRequest,
+    orchestrator: DatasetReviewOrchestrator = Depends(_get_orchestrator),
+    current_user: User = Depends(get_current_user),
+):
+    with belief_scope("dataset_review.start_session"):
+        try:
+            result = orchestrator.start_session(
+                StartSessionCommand(
+                    user=current_user,
+                    environment_id=request.environment_id,
+                    source_kind=request.source_kind,
+                    source_input=request.source_input,
+                )
+            )
+        except ValueError as exc:
+            logger.explore(
+                "Dataset review session start rejected",
+                extra={"user_id": current_user.id, "error": str(exc)},
+            )
+            detail = str(exc)
+            status_code = status.HTTP_404_NOT_FOUND if detail == "Environment not found" else status.HTTP_400_BAD_REQUEST
+            raise HTTPException(status_code=status_code, detail=detail) from exc
+
+        return _serialize_session_summary(result.session)
+# [/DEF:start_session:Function]
+
+
+# [DEF:get_session_detail:Function]
+# @COMPLEXITY: 3
+# @PURPOSE: Return the full accessible dataset review session aggregate for current user scope.
+# @RELATION: [CALLS] ->[_get_owned_session_or_404]
+@router.get(
+    "/sessions/{session_id}",
+    response_model=SessionDetail,
+    dependencies=[
+        Depends(_require_auto_review_flag),
+        Depends(has_permission("dataset:session", "READ")),
+    ],
+)
+async def get_session_detail(
+    session_id: str,
+    repository: DatasetReviewSessionRepository = Depends(_get_repository),
+    current_user: User = Depends(get_current_user),
+):
+    with belief_scope("dataset_review.get_session_detail"):
+        session = _get_owned_session_or_404(repository, session_id, current_user)
+        return _serialize_session_detail(session)
+# [/DEF:get_session_detail:Function]
+
+
+# [DEF:update_session:Function]
+# @COMPLEXITY: 4
+# @PURPOSE: Update resumable lifecycle status for an owned dataset review session.
+# @RELATION: [DEPENDS_ON] ->[DatasetReviewSession]
+# @PRE: session is accessible to current user and requested status is allowed by lifecycle policy.
+# @POST: returns updated summary without changing ownership or unrelated aggregates.
+# @SIDE_EFFECT: mutates session lifecycle fields in persistence.
+# @DATA_CONTRACT: Input[UpdateSessionRequest] -> Output[SessionSummary]
+@router.patch(
+    "/sessions/{session_id}",
+    response_model=SessionSummary,
+    dependencies=[
+        Depends(_require_auto_review_flag),
+        Depends(has_permission("dataset:session", "MANAGE")),
+    ],
+)
+async def update_session(
+    session_id: str,
+    request: UpdateSessionRequest,
+    repository: DatasetReviewSessionRepository = Depends(_get_repository),
+    current_user: User = Depends(get_current_user),
+):
+    with belief_scope("dataset_review.update_session"):
+        session = _get_owned_session_or_404(repository, session_id, current_user)
+        if session.user_id != current_user.id:
+            raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail="Only the owner can mutate session lifecycle")
+
+        session.status = request.status
+        if request.status == SessionStatus.PAUSED:
+            session.recommended_action = RecommendedAction.RESUME_SESSION
+        elif request.status in {SessionStatus.ARCHIVED, SessionStatus.CANCELLED, SessionStatus.COMPLETED}:
+            session.active_task_id = None
+
+        repository.db.commit()
+        repository.db.refresh(session)
+        return _serialize_session_summary(session)
+# [/DEF:update_session:Function]
+
+
+# [DEF:delete_session:Function]
+# @COMPLEXITY: 4
+# @PURPOSE: Archive or hard-delete a session owned by the current user.
+# @RELATION: [DEPENDS_ON] ->[DatasetReviewSession]
+# @PRE: session is owner-scoped to current user.
+# @POST: session is archived or deleted and no foreign-session existence is disclosed.
+# @SIDE_EFFECT: mutates or deletes persisted session aggregate.
+# @DATA_CONTRACT: Input[session_id:str,hard_delete:bool] -> Output[HTTP 204]
+@router.delete(
+    "/sessions/{session_id}",
+    status_code=status.HTTP_204_NO_CONTENT,
+    dependencies=[
+        Depends(_require_auto_review_flag),
+        Depends(has_permission("dataset:session", "MANAGE")),
+    ],
+)
+async def delete_session(
+    session_id: str,
+    hard_delete: bool = Query(False),
+    repository: DatasetReviewSessionRepository = Depends(_get_repository),
+    current_user: User = Depends(get_current_user),
+):
+    with belief_scope("dataset_review.delete_session"):
+        session = _get_owned_session_or_404(repository, session_id, current_user)
+        if session.user_id != current_user.id:
+            raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail="Only the owner can delete a session")
+
+        if hard_delete:
+            repository.db.delete(session)
+        else:
+            session.status = SessionStatus.ARCHIVED
+            session.active_task_id = None
+        repository.db.commit()
+        return Response(status_code=status.HTTP_204_NO_CONTENT)
+# [/DEF:delete_session:Function]
+
+
+# [DEF:export_documentation:Function]
+# @COMPLEXITY: 4
+# @PURPOSE: Export documentation output for the current session in JSON or Markdown form.
+# @RELATION: [DEPENDS_ON] ->[DatasetReviewSession]
+# @PRE: session is accessible to current user and requested format is supported.
+# @POST: returns ownership-scoped export payload without fabricating unrelated artifacts.
+# @SIDE_EFFECT: none beyond response construction.
+# @DATA_CONTRACT: Input[session_id:str,format:ArtifactFormat] -> Output[ExportArtifactResponse]
+@router.get(
+    "/sessions/{session_id}/exports/documentation",
+    response_model=ExportArtifactResponse,
+    dependencies=[
+        Depends(_require_auto_review_flag),
+        Depends(has_permission("dataset:session", "READ")),
+    ],
+)
+async def export_documentation(
+    session_id: str,
+    format: ArtifactFormat = Query(ArtifactFormat.JSON),
+    repository: DatasetReviewSessionRepository = Depends(_get_repository),
+    current_user: User = Depends(get_current_user),
+):
+    with belief_scope("dataset_review.export_documentation"):
+        if format not in {ArtifactFormat.JSON, ArtifactFormat.MARKDOWN}:
+            raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="Only json and markdown exports are supported")
+        session = _get_owned_session_or_404(repository, session_id, current_user)
+        export_payload = _build_documentation_export(session, format)
+        return ExportArtifactResponse(
+            artifact_id=f"documentation-{session.session_id}-{format.value}",
+            session_id=session.session_id,
+            artifact_type="documentation",
+            format=format.value,
+            storage_ref=export_payload["storage_ref"],
+            created_by_user_id=current_user.id,
+            content=export_payload["content"],
+        )
+# [/DEF:export_documentation:Function]
+
+
+# [DEF:export_validation:Function]
+# @COMPLEXITY: 4
+# @PURPOSE: Export validation findings for the current session in JSON or Markdown form.
+# @RELATION: [DEPENDS_ON] ->[DatasetReviewSession]
+# @PRE: session is accessible to current user and requested format is supported.
+# @POST: returns explicit validation export payload scoped to current user session access.
+# @SIDE_EFFECT: none beyond response construction.
+# @DATA_CONTRACT: Input[session_id:str,format:ArtifactFormat] -> Output[ExportArtifactResponse]
+@router.get(
+    "/sessions/{session_id}/exports/validation",
+    response_model=ExportArtifactResponse,
+    dependencies=[
+        Depends(_require_auto_review_flag),
+        Depends(has_permission("dataset:session", "READ")),
+    ],
+)
+async def export_validation(
+    session_id: str,
+    format: ArtifactFormat = Query(ArtifactFormat.JSON),
+    repository: DatasetReviewSessionRepository = Depends(_get_repository),
+    current_user: User = Depends(get_current_user),
+):
+    with belief_scope("dataset_review.export_validation"):
+        if format not in {ArtifactFormat.JSON, ArtifactFormat.MARKDOWN}:
+            raise HTTPException(status_code=status.HTTP_400_BAD_REQUEST, detail="Only json and markdown exports are supported")
+        session = _get_owned_session_or_404(repository, session_id, current_user)
+        export_payload = _build_validation_export(session, format)
+        return ExportArtifactResponse(
+            artifact_id=f"validation-{session.session_id}-{format.value}",
+            session_id=session.session_id,
+            artifact_type="validation_report",
+            format=format.value,
+            storage_ref=export_payload["storage_ref"],
+            created_by_user_id=current_user.id,
+            content=export_payload["content"],
+        )
+# [/DEF:export_validation:Function]
+
+# [/DEF:DatasetReviewApi:Module]

backend/src/app.py

@@ -3,8 +3,8 @@
 # @SEMANTICS: app, main, entrypoint, fastapi
 # @PURPOSE: The main entry point for the FastAPI application. It initializes the app, configures CORS, sets up dependencies, includes API routers, and defines the WebSocket endpoint for log streaming.
 # @LAYER: UI (API)
-# @RELATION: DEPENDS_ON ->[AppDependencies]
+# @RELATION: [DEPENDS_ON] ->[AppDependencies]
-# @RELATION: DEPENDS_ON ->[backend.src.api.routes]
+# @RELATION: [DEPENDS_ON] ->[ApiRoutesModule]
 # @INVARIANT: Only one FastAPI app instance exists per process.
 # @INVARIANT: All WebSocket connections must be properly cleaned up on disconnect.
 # @PRE: Python environment and dependencies installed; configuration database available.
@@ -28,7 +28,7 @@ from .dependencies import get_task_manager, get_scheduler_service
 from .core.encryption_key import ensure_encryption_key
 from .core.utils.network import NetworkError
 from .core.logger import logger, belief_scope
-from .api.routes import plugins, tasks, settings, environments, mappings, migration, connections, git, storage, admin, llm, dashboards, datasets, reports, assistant, clean_release, clean_release_v2, profile, health
+from .api.routes import plugins, tasks, settings, environments, mappings, migration, connections, git, storage, admin, llm, dashboards, datasets, reports, assistant, clean_release, clean_release_v2, profile, health, dataset_review
 from .api import auth
 
 # [DEF:App:Global]
@@ -45,6 +45,7 @@ app = FastAPI(
 # [DEF:startup_event:Function]
 # @COMPLEXITY: 3
 # @PURPOSE: Handles application startup tasks, such as starting the scheduler.
+# @RELATION: [CALLS] ->[AppDependencies]
 # @PRE: None.
 # @POST: Scheduler is started.
 # Startup event
@@ -59,6 +60,7 @@ async def startup_event():
 # [DEF:shutdown_event:Function]
 # @COMPLEXITY: 3
 # @PURPOSE: Handles application shutdown tasks, such as stopping the scheduler.
+# @RELATION: [CALLS] ->[AppDependencies]
 # @PRE: None.
 # @POST: Scheduler is stopped.
 # Shutdown event
@@ -106,6 +108,7 @@ async def network_error_handler(request: Request, exc: NetworkError):
 # [DEF:log_requests:Function]
 # @COMPLEXITY: 3
 # @PURPOSE: Middleware to log incoming HTTP requests and their response status.
+# @RELATION: [DEPENDS_ON] ->[LoggerModule]
 # @PRE: request is a FastAPI Request object.
 # @POST: Logs request and response details.
 # @PARAM: request (Request) - The incoming request object.
@@ -154,6 +157,7 @@ app.include_router(assistant.router, prefix="/api/assistant", tags=["Assistant"]
 app.include_router(clean_release.router)
 app.include_router(clean_release_v2.router)
 app.include_router(profile.router)
+app.include_router(dataset_review.router)
 app.include_router(health.router)
 # [/DEF:api_routes:Block]
 
@@ -168,10 +172,13 @@ app.include_router(health.router)
 # [DEF:websocket_endpoint:Function]
 # @COMPLEXITY: 5
 # @PURPOSE: Provides a WebSocket endpoint for real-time log streaming of a task with server-side filtering.
+# @RELATION: [CALLS] ->[TaskManagerPackage]
+# @RELATION: [DEPENDS_ON] ->[LoggerModule]
 # @PRE: task_id must be a valid task ID.
 # @POST: WebSocket connection is managed and logs are streamed until disconnect.
 # @SIDE_EFFECT: Subscribes to TaskManager log queue and broadcasts messages over network.
 # @DATA_CONTRACT: [task_id: str, source: str, level: str] -> [JSON log entry objects]
+# @INVARIANT: Every accepted WebSocket subscription is unsubscribed exactly once even when streaming fails or the client disconnects.
 # @UX_STATE: Connecting -> Streaming -> (Disconnected)
 #
 # @TEST_CONTRACT: WebSocketLogStreamApi ->
@@ -205,84 +212,120 @@ async def websocket_endpoint(
     with belief_scope("websocket_endpoint", f"task_id={task_id}"):
         await websocket.accept()
 
-    # Normalize filter parameters
+        source_filter = source.lower() if source else None
-    source_filter = source.lower() if source else None
+        level_filter = level.upper() if level else None
-    level_filter = level.upper() if level else None
+        level_hierarchy = {"DEBUG": 0, "INFO": 1, "WARNING": 2, "ERROR": 3}
+        min_level = level_hierarchy.get(level_filter, 0) if level_filter else 0
 
-    # Level hierarchy for filtering
+        logger.reason(
-    level_hierarchy = {"DEBUG": 0, "INFO": 1, "WARNING": 2, "ERROR": 3}
+            "Accepted WebSocket log stream connection",
-    min_level = level_hierarchy.get(level_filter, 0) if level_filter else 0
+            extra={
+                "task_id": task_id,
+                "source_filter": source_filter,
+                "level_filter": level_filter,
+                "min_level": min_level,
+            },
+        )
 
-    logger.info(f"WebSocket connection accepted for task {task_id} (source={source_filter}, level={level_filter})")
+        task_manager = get_task_manager()
-    task_manager = get_task_manager()
+        queue = await task_manager.subscribe_logs(task_id)
-    queue = await task_manager.subscribe_logs(task_id)
+        logger.reason(
+            "Subscribed WebSocket client to task log queue",
+            extra={"task_id": task_id},
+        )
 
-    def matches_filters(log_entry) -> bool:
+        def matches_filters(log_entry) -> bool:
-        """Check if log entry matches the filter criteria."""
+            """Check if log entry matches the filter criteria."""
-        # Check source filter
+            log_source = getattr(log_entry, "source", None)
-        if source_filter and log_entry.source.lower() != source_filter:
+            if source_filter and str(log_source or "").lower() != source_filter:
-            return False
-        
-        # Check level filter
-        if level_filter:
-            log_level = level_hierarchy.get(log_entry.level.upper(), 0)
-            if log_level < min_level:
                 return False
 
-        return True
+            if level_filter:
+                log_level = level_hierarchy.get(str(log_entry.level).upper(), 0)
+                if log_level < min_level:
+                    return False
 
-    try:
+            return True
-        # Stream new logs
+
-        logger.info(f"Starting log stream for task {task_id}")
+        try:
+            logger.reason(
+                "Starting task log stream replay and live forwarding",
+                extra={"task_id": task_id},
+            )
+
+            initial_logs = task_manager.get_task_logs(task_id)
+            initial_sent = 0
+            for log_entry in initial_logs:
+                if matches_filters(log_entry):
+                    log_dict = log_entry.dict()
+                    log_dict["timestamp"] = log_dict["timestamp"].isoformat()
+                    await websocket.send_json(log_dict)
+                    initial_sent += 1
+
+            logger.reflect(
+                "Initial task log replay completed",
+                extra={
+                    "task_id": task_id,
+                    "replayed_logs": initial_sent,
+                    "total_available_logs": len(initial_logs),
+                },
+            )
+
+            task = task_manager.get_task(task_id)
+            if task and task.status == "AWAITING_INPUT" and task.input_request:
+                synthetic_log = {
+                    "timestamp": task.logs[-1].timestamp.isoformat() if task.logs else "2024-01-01T00:00:00",
+                    "level": "INFO",
+                    "message": "Task paused for user input (Connection Re-established)",
+                    "context": {"input_request": task.input_request},
+                }
+                await websocket.send_json(synthetic_log)
+                logger.reason(
+                    "Replayed awaiting-input prompt to restored WebSocket client",
+                    extra={"task_id": task_id, "task_status": task.status},
+                )
+
+            while True:
+                log_entry = await queue.get()
+
+                if not matches_filters(log_entry):
+                    continue
 
-        # Send initial logs first to build context (apply filters)
-        initial_logs = task_manager.get_task_logs(task_id)
-        for log_entry in initial_logs:
-            if matches_filters(log_entry):
                 log_dict = log_entry.dict()
-                log_dict['timestamp'] = log_dict['timestamp'].isoformat()
+                log_dict["timestamp"] = log_dict["timestamp"].isoformat()
                 await websocket.send_json(log_dict)
+                logger.reflect(
+                    "Forwarded task log entry to WebSocket client",
+                    extra={
+                        "task_id": task_id,
+                        "level": log_dict.get("level"),
+                    },
+                )
 
-        # Force a check for AWAITING_INPUT status immediately upon connection
+                if "Task completed successfully" in log_entry.message or "Task failed" in log_entry.message:
-        # This ensures that if the task is already waiting when the user connects, they get the prompt.
+                    logger.reason(
-        task = task_manager.get_task(task_id)
+                        "Observed terminal task log entry; delaying to preserve client visibility",
-        if task and task.status == "AWAITING_INPUT" and task.input_request:
+                        extra={"task_id": task_id, "message": log_entry.message},
-             # Construct a synthetic log entry to trigger the frontend handler
+                    )
-             # This is a bit of a hack but avoids changing the websocket protocol significantly
+                    await asyncio.sleep(2)
-             synthetic_log = {
-                 "timestamp": task.logs[-1].timestamp.isoformat() if task.logs else "2024-01-01T00:00:00",
-                 "level": "INFO",
-                 "message": "Task paused for user input (Connection Re-established)",
-                 "context": {"input_request": task.input_request}
-             }
-             await websocket.send_json(synthetic_log)
 
-        while True:
+        except WebSocketDisconnect:
-            log_entry = await queue.get()
+            logger.reason(
-            
+                "WebSocket client disconnected from task log stream",
-            # Apply server-side filtering
+                extra={"task_id": task_id},
-            if not matches_filters(log_entry):
+            )
-                continue
+        except Exception as exc:
-            
+            logger.explore(
-            log_dict = log_entry.dict()
+                "WebSocket log streaming encountered an unexpected failure",
-            log_dict['timestamp'] = log_dict['timestamp'].isoformat()
+                extra={"task_id": task_id, "error": str(exc)},
-            await websocket.send_json(log_dict)
+            )
-            
+            raise
-            # If task is finished, we could potentially close the connection
+        finally:
-            # but let's keep it open for a bit or until the client disconnects
+            task_manager.unsubscribe_logs(task_id, queue)
-            if "Task completed successfully" in log_entry.message or "Task failed" in log_entry.message:
+            logger.reflect(
-                # Wait a bit to ensure client receives the last message
+                "Released WebSocket log queue subscription",
-                await asyncio.sleep(2)
+                extra={"task_id": task_id},
-                # DO NOT BREAK here - allow client to keep connection open if they want to review logs
+            )
-                # or until they disconnect. Breaking closes the socket immediately.
-                # break
-
-    except WebSocketDisconnect:
-        logger.info(f"WebSocket connection disconnected for task {task_id}")
-    except Exception as e:
-        logger.error(f"WebSocket error for task {task_id}: {e}")
-    finally:
-        task_manager.unsubscribe_logs(task_id, queue)
 # [/DEF:websocket_endpoint:Function]
 
 # [DEF:StaticFiles:Mount]

backend/src/core/utils/superset_context_extractor.py

@@ -0,0 +1,334 @@
+# [DEF:SupersetContextExtractor:Module]
+# @COMPLEXITY: 4
+# @SEMANTICS: dataset_review, superset, link_parsing, context_recovery, partial_recovery
+# @PURPOSE: Recover dataset and dashboard context from Superset links while preserving explicit partial-recovery markers.
+# @LAYER: Infra
+# @RELATION: [CALLS] ->[backend.src.core.superset_client.SupersetClient:Class]
+# @RELATION: [DEPENDS_ON] ->[ImportedFilter]
+# @RELATION: [DEPENDS_ON] ->[TemplateVariable]
+# @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.
+# @INVARIANT: Partial recovery is surfaced explicitly and never misrepresented as fully confirmed context.
+
+from __future__ import annotations
+
+# [DEF:SupersetContextExtractor.imports:Block]
+import json
+from dataclasses import dataclass, field
+from typing import Any, Dict, List, Optional
+from urllib.parse import parse_qs, unquote, urlparse
+
+from src.core.config_models import Environment
+from src.core.logger import belief_scope, logger
+from src.core.superset_client import SupersetClient
+# [/DEF:SupersetContextExtractor.imports:Block]
+
+
+# [DEF:SupersetParsedContext:Class]
+# @COMPLEXITY: 2
+# @PURPOSE: Normalized output of Superset link parsing for session intake and recovery.
+@dataclass
+class SupersetParsedContext:
+    source_url: str
+    dataset_ref: str
+    dataset_id: Optional[int] = None
+    dashboard_id: Optional[int] = None
+    chart_id: Optional[int] = None
+    resource_type: str = "unknown"
+    query_state: Dict[str, Any] = field(default_factory=dict)
+    imported_filters: List[Dict[str, Any]] = field(default_factory=list)
+    unresolved_references: List[str] = field(default_factory=list)
+    partial_recovery: bool = False
+# [/DEF:SupersetParsedContext:Class]
+
+
+# [DEF:SupersetContextExtractor:Class]
+# @COMPLEXITY: 4
+# @PURPOSE: Parse supported Superset URLs and recover canonical dataset/dashboard references for review-session intake.
+# @RELATION: [CALLS] ->[backend.src.core.superset_client.SupersetClient]
+# @PRE: constructor receives a configured environment with a usable Superset base URL.
+# @POST: extractor instance is ready to parse links against one Superset environment.
+# @SIDE_EFFECT: downstream parse operations may call Superset APIs through SupersetClient.
+class SupersetContextExtractor:
+    # [DEF:SupersetContextExtractor.__init__:Function]
+    # @COMPLEXITY: 2
+    # @PURPOSE: Bind extractor 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:SupersetContextExtractor.__init__:Function]
+
+    # [DEF:SupersetContextExtractor.parse_superset_link:Function]
+    # @COMPLEXITY: 4
+    # @PURPOSE: Extract candidate identifiers and query state from supported Superset URLs.
+    # @RELATION: [CALLS] ->[backend.src.core.superset_client.SupersetClient]
+    # @PRE: link is a non-empty Superset URL compatible with the configured environment.
+    # @POST: returns resolved dataset/dashboard context, preserving explicit partial-recovery state if some identifiers cannot be confirmed.
+    # @SIDE_EFFECT: may issue Superset API reads to resolve dataset references from dashboard or chart URLs.
+    # @DATA_CONTRACT: Input[link:str] -> Output[SupersetParsedContext]
+    def parse_superset_link(self, link: str) -> SupersetParsedContext:
+        with belief_scope("SupersetContextExtractor.parse_superset_link"):
+            normalized_link = str(link or "").strip()
+            if not normalized_link:
+                logger.explore("Rejected empty Superset link during intake")
+                raise ValueError("Superset link must be non-empty")
+
+            parsed_url = urlparse(normalized_link)
+            if parsed_url.scheme not in {"http", "https"} or not parsed_url.netloc:
+                logger.explore(
+                    "Superset link is not a parseable absolute URL",
+                    extra={"link": normalized_link},
+                )
+                raise ValueError("Superset link must be an absolute http(s) URL")
+
+            logger.reason(
+                "Parsing Superset link for dataset review intake",
+                extra={"path": parsed_url.path, "query": parsed_url.query},
+            )
+
+            path_parts = [part for part in parsed_url.path.split("/") if part]
+            query_params = parse_qs(parsed_url.query, keep_blank_values=True)
+            query_state = self._decode_query_state(query_params)
+
+            dataset_id = self._extract_numeric_identifier(path_parts, "dataset")
+            dashboard_id = self._extract_numeric_identifier(path_parts, "dashboard")
+            chart_id = self._extract_numeric_identifier(path_parts, "chart")
+
+            resource_type = "unknown"
+            dataset_ref: Optional[str] = None
+            partial_recovery = False
+            unresolved_references: List[str] = []
+
+            if dataset_id is not None:
+                resource_type = "dataset"
+                dataset_ref = f"dataset:{dataset_id}"
+                logger.reason(
+                    "Resolved direct dataset link",
+                    extra={"dataset_id": dataset_id},
+                )
+            elif dashboard_id is not None:
+                resource_type = "dashboard"
+                logger.reason(
+                    "Resolving dashboard-bound dataset from Superset",
+                    extra={"dashboard_id": dashboard_id},
+                )
+                dashboard_detail = self.client.get_dashboard_detail(dashboard_id)
+                datasets = dashboard_detail.get("datasets") or []
+                if datasets:
+                    first_dataset = datasets[0]
+                    resolved_dataset_id = first_dataset.get("id")
+                    if resolved_dataset_id is not None:
+                        dataset_id = int(resolved_dataset_id)
+                        dataset_ref = f"dataset:{dataset_id}"
+                        logger.reason(
+                            "Recovered dataset reference from dashboard context",
+                            extra={
+                                "dashboard_id": dashboard_id,
+                                "dataset_id": dataset_id,
+                                "dataset_count": len(datasets),
+                            },
+                        )
+                        if len(datasets) > 1:
+                            partial_recovery = True
+                            unresolved_references.append("multiple_dashboard_datasets")
+                    else:
+                        partial_recovery = True
+                        unresolved_references.append("dashboard_dataset_id_missing")
+                else:
+                    partial_recovery = True
+                    unresolved_references.append("dashboard_dataset_binding_missing")
+            elif chart_id is not None:
+                resource_type = "chart"
+                partial_recovery = True
+                unresolved_references.append("chart_dataset_binding_unresolved")
+                dataset_ref = f"chart:{chart_id}"
+                logger.reason(
+                    "Accepted chart link with explicit partial recovery",
+                    extra={"chart_id": chart_id},
+                )
+            else:
+                logger.explore(
+                    "Unsupported Superset link shape encountered",
+                    extra={"path": parsed_url.path},
+                )
+                raise ValueError("Unsupported Superset link shape")
+
+            if dataset_id is not None:
+                try:
+                    dataset_detail = self.client.get_dataset_detail(dataset_id)
+                    table_name = str(dataset_detail.get("table_name") or "").strip()
+                    schema_name = str(dataset_detail.get("schema") or "").strip()
+                    if table_name:
+                        dataset_ref = (
+                            f"{schema_name}.{table_name}" if schema_name else table_name
+                        )
+                        logger.reason(
+                            "Canonicalized dataset reference from dataset detail",
+                            extra={"dataset_ref": dataset_ref, "dataset_id": dataset_id},
+                        )
+                except Exception as exc:
+                    partial_recovery = True
+                    unresolved_references.append("dataset_detail_lookup_failed")
+                    logger.explore(
+                        "Dataset detail lookup failed during link parsing; keeping session usable",
+                        extra={"dataset_id": dataset_id, "error": str(exc)},
+                    )
+
+            imported_filters = self._extract_imported_filters(query_state)
+            result = SupersetParsedContext(
+                source_url=normalized_link,
+                dataset_ref=dataset_ref or "unresolved",
+                dataset_id=dataset_id,
+                dashboard_id=dashboard_id,
+                chart_id=chart_id,
+                resource_type=resource_type,
+                query_state=query_state,
+                imported_filters=imported_filters,
+                unresolved_references=unresolved_references,
+                partial_recovery=partial_recovery,
+            )
+            logger.reflect(
+                "Superset link parsing completed",
+                extra={
+                    "dataset_ref": result.dataset_ref,
+                    "dataset_id": result.dataset_id,
+                    "dashboard_id": result.dashboard_id,
+                    "chart_id": result.chart_id,
+                    "partial_recovery": result.partial_recovery,
+                    "unresolved_references": result.unresolved_references,
+                    "imported_filters": len(result.imported_filters),
+                },
+            )
+            return result
+    # [/DEF:SupersetContextExtractor.parse_superset_link:Function]
+
+    # [DEF:SupersetContextExtractor.recover_imported_filters:Function]
+    # @COMPLEXITY: 2
+    # @PURPOSE: Build imported filter entries from URL state and Superset-side saved context.
+    def recover_imported_filters(self, parsed_context: SupersetParsedContext) -> List[Dict[str, Any]]:
+        return list(parsed_context.imported_filters)
+    # [/DEF:SupersetContextExtractor.recover_imported_filters:Function]
+
+    # [DEF:SupersetContextExtractor.discover_template_variables:Function]
+    # @COMPLEXITY: 2
+    # @PURPOSE: Detect runtime variables and Jinja references from dataset query-bearing fields.
+    def discover_template_variables(self, dataset_payload: Dict[str, Any]) -> List[Dict[str, Any]]:
+        return []
+    # [/DEF:SupersetContextExtractor.discover_template_variables:Function]
+
+    # [DEF:SupersetContextExtractor.build_recovery_summary:Function]
+    # @COMPLEXITY: 2
+    # @PURPOSE: Summarize recovered, partial, and unresolved context for session state and UX.
+    def build_recovery_summary(self, parsed_context: SupersetParsedContext) -> Dict[str, Any]:
+        return {
+            "dataset_ref": parsed_context.dataset_ref,
+            "dataset_id": parsed_context.dataset_id,
+            "dashboard_id": parsed_context.dashboard_id,
+            "chart_id": parsed_context.chart_id,
+            "partial_recovery": parsed_context.partial_recovery,
+            "unresolved_references": list(parsed_context.unresolved_references),
+            "imported_filter_count": len(parsed_context.imported_filters),
+        }
+    # [/DEF:SupersetContextExtractor.build_recovery_summary:Function]
+
+    # [DEF:SupersetContextExtractor._extract_numeric_identifier:Function]
+    # @COMPLEXITY: 2
+    # @PURPOSE: Extract a numeric identifier from a REST-like Superset URL path.
+    def _extract_numeric_identifier(self, path_parts: List[str], resource_name: str) -> Optional[int]:
+        if resource_name not in path_parts:
+            return None
+        try:
+            resource_index = path_parts.index(resource_name)
+        except ValueError:
+            return None
+
+        if resource_index + 1 >= len(path_parts):
+            return None
+
+        candidate = str(path_parts[resource_index + 1]).strip()
+        if not candidate.isdigit():
+            return None
+        return int(candidate)
+    # [/DEF:SupersetContextExtractor._extract_numeric_identifier:Function]
+
+    # [DEF:SupersetContextExtractor._decode_query_state:Function]
+    # @COMPLEXITY: 2
+    # @PURPOSE: Decode query-string structures used by Superset URL state transport.
+    def _decode_query_state(self, query_params: Dict[str, List[str]]) -> Dict[str, Any]:
+        query_state: Dict[str, Any] = {}
+        for key, values in query_params.items():
+            if not values:
+                continue
+            raw_value = values[-1]
+            decoded_value = unquote(raw_value)
+            if key in {"native_filters", "native_filters_key", "form_data", "q"}:
+                try:
+                    query_state[key] = json.loads(decoded_value)
+                    continue
+                except Exception:
+                    logger.explore(
+                        "Failed to decode structured Superset query state; preserving raw value",
+                        extra={"key": key},
+                    )
+            query_state[key] = decoded_value
+        return query_state
+    # [/DEF:SupersetContextExtractor._decode_query_state:Function]
+
+    # [DEF:SupersetContextExtractor._extract_imported_filters:Function]
+    # @COMPLEXITY: 2
+    # @PURPOSE: Normalize imported filters from decoded query state without fabricating missing values.
+    def _extract_imported_filters(self, query_state: Dict[str, Any]) -> List[Dict[str, Any]]:
+        imported_filters: List[Dict[str, Any]] = []
+
+        native_filters_payload = query_state.get("native_filters")
+        if isinstance(native_filters_payload, list):
+            for index, item in enumerate(native_filters_payload):
+                if not isinstance(item, dict):
+                    continue
+                filter_name = (
+                    item.get("filter_name")
+                    or item.get("column")
+                    or item.get("name")
+                    or f"native_filter_{index}"
+                )
+                imported_filters.append(
+                    {
+                        "filter_name": str(filter_name),
+                        "raw_value": item.get("value"),
+                        "display_name": item.get("label") or item.get("name"),
+                        "source": "superset_url",
+                        "recovery_status": "recovered"
+                        if item.get("value") is not None
+                        else "partial",
+                        "requires_confirmation": item.get("value") is None,
+                        "notes": "Recovered from Superset native filter URL state",
+                    }
+                )
+
+        form_data_payload = query_state.get("form_data")
+        if isinstance(form_data_payload, dict):
+            extra_filters = form_data_payload.get("extra_filters") or []
+            for index, item in enumerate(extra_filters):
+                if not isinstance(item, dict):
+                    continue
+                filter_name = item.get("col") or item.get("column") or f"extra_filter_{index}"
+                imported_filters.append(
+                    {
+                        "filter_name": str(filter_name),
+                        "raw_value": item.get("val"),
+                        "display_name": item.get("label"),
+                        "source": "superset_url",
+                        "recovery_status": "recovered"
+                        if item.get("val") is not None
+                        else "partial",
+                        "requires_confirmation": item.get("val") is None,
+                        "notes": "Recovered from Superset form_data extra_filters",
+                    }
+                )
+
+        return imported_filters
+    # [/DEF:SupersetContextExtractor._extract_imported_filters:Function]
+# [/DEF:SupersetContextExtractor:Class]
+
+# [/DEF:SupersetContextExtractor:Module]

backend/src/models/dataset_review.py

@@ -5,7 +5,6 @@
 # @SEMANTICS: dataset_review, session, profile, findings, semantics, clarification, execution, sqlalchemy
 # @PURPOSE:   SQLAlchemy models for the dataset review orchestration flow.
 # @LAYER:     Domain
-# @RELATION:  INHERITS_FROM -> [Base]
 # @RELATION:  DEPENDS_ON -> [AuthModels]
 # @RELATION:  DEPENDS_ON -> [MappingModels]
 #

backend/src/schemas/dataset_review.py

@@ -4,7 +4,7 @@
 # @SEMANTICS: dataset_review, schemas, pydantic, session, profile, findings
 # @PURPOSE:   Defines API schemas for the dataset review orchestration flow.
 # @LAYER:     API
-# @RELATION:  DEPENDS_ON -> pydantic
+# @RELATION:  DEPENDS_ON -> [DatasetReviewModels]
 
 # [SECTION: IMPORTS]
 from datetime import datetime

backend/src/services/dataset_review/orchestrator.py

@@ -0,0 +1,386 @@
+# [DEF:DatasetReviewOrchestrator:Module]
+# @COMPLEXITY: 5
+# @SEMANTICS: dataset_review, orchestration, session_lifecycle, intake, recovery
+# @PURPOSE: Coordinate dataset review session startup and lifecycle-safe intake recovery for one authenticated user.
+# @LAYER: Domain
+# @RELATION: [DEPENDS_ON] ->[DatasetReviewSessionRepository]
+# @RELATION: [DEPENDS_ON] ->[SemanticSourceResolver]
+# @RELATION: [DEPENDS_ON] ->[ClarificationEngine]
+# @RELATION: [DEPENDS_ON] ->[SupersetContextExtractor]
+# @RELATION: [DEPENDS_ON] ->[SupersetCompilationAdapter]
+# @RELATION: [DEPENDS_ON] ->[TaskManager]
+# @PRE: session mutations must execute inside a persisted session boundary scoped to one authenticated user.
+# @POST: state transitions are persisted atomically and emit observable progress for long-running steps.
+# @SIDE_EFFECT: creates task records, updates session aggregates, triggers upstream Superset calls, persists audit artifacts.
+# @DATA_CONTRACT: Input[SessionCommand] -> Output[DatasetReviewSession | CompiledPreview | DatasetRunContext]
+# @INVARIANT: Launch is blocked unless a current session has no open blocking findings, all launch-sensitive mappings are approved, and a non-stale Superset-generated compiled preview matches the current input fingerprint.
+
+from __future__ import annotations
+
+# [DEF:DatasetReviewOrchestrator.imports:Block]
+from dataclasses import dataclass, field
+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_context_extractor import (
+    SupersetContextExtractor,
+    SupersetParsedContext,
+)
+from src.models.auth import User
+from src.models.dataset_review import (
+    BusinessSummarySource,
+    ConfidenceState,
+    DatasetProfile,
+    DatasetReviewSession,
+    FindingArea,
+    FindingSeverity,
+    RecommendedAction,
+    ReadinessState,
+    ResolutionState,
+    SessionPhase,
+    SessionStatus,
+    ValidationFinding,
+)
+from src.services.dataset_review.repositories.session_repository import (
+    DatasetReviewSessionRepository,
+)
+from src.services.dataset_review.semantic_resolver import SemanticSourceResolver
+# [/DEF:DatasetReviewOrchestrator.imports:Block]
+
+
+# [DEF:StartSessionCommand:Class]
+# @COMPLEXITY: 2
+# @PURPOSE: Typed input contract for starting a dataset review session.
+@dataclass
+class StartSessionCommand:
+    user: User
+    environment_id: str
+    source_kind: str
+    source_input: str
+# [/DEF:StartSessionCommand:Class]
+
+
+# [DEF:StartSessionResult:Class]
+# @COMPLEXITY: 2
+# @PURPOSE: Session-start result carrying the persisted session and intake recovery metadata.
+@dataclass
+class StartSessionResult:
+    session: DatasetReviewSession
+    parsed_context: Optional[SupersetParsedContext] = None
+    findings: List[ValidationFinding] = field(default_factory=list)
+# [/DEF:StartSessionResult:Class]
+
+
+# [DEF:DatasetReviewOrchestrator:Class]
+# @COMPLEXITY: 5
+# @PURPOSE: Coordinate safe session startup while preserving cross-user isolation and explicit partial recovery.
+# @RELATION: [DEPENDS_ON] ->[DatasetReviewSessionRepository]
+# @RELATION: [DEPENDS_ON] ->[SupersetContextExtractor]
+# @RELATION: [DEPENDS_ON] ->[TaskManager]
+# @RELATION: [DEPENDS_ON] ->[SessionRepo]
+# @RELATION: [DEPENDS_ON] ->[ConfigManager]
+# @PRE: constructor dependencies are valid and tied to the current request/task scope.
+# @POST: orchestrator instance can execute session-scoped mutations for one authenticated user.
+# @SIDE_EFFECT: downstream operations may persist session/profile/finding state and enqueue background tasks.
+# @DATA_CONTRACT: Input[StartSessionCommand] -> Output[StartSessionResult]
+# @INVARIANT: session ownership is preserved on every mutation and recovery remains explicit when partial.
+class DatasetReviewOrchestrator:
+    # [DEF:DatasetReviewOrchestrator.__init__:Function]
+    # @COMPLEXITY: 3
+    # @PURPOSE: Bind repository, config, and task dependencies required by the orchestration boundary.
+    # @RELATION: [DEPENDS_ON] ->[SessionRepo]
+    # @RELATION: [DEPENDS_ON] ->[ConfigManager]
+    def __init__(
+        self,
+        repository: DatasetReviewSessionRepository,
+        config_manager: ConfigManager,
+        task_manager: Optional[TaskManager] = None,
+        semantic_resolver: Optional[SemanticSourceResolver] = None,
+    ) -> None:
+        self.repository = repository
+        self.config_manager = config_manager
+        self.task_manager = task_manager
+        self.semantic_resolver = semantic_resolver or SemanticSourceResolver()
+    # [/DEF:DatasetReviewOrchestrator.__init__:Function]
+
+    # [DEF:DatasetReviewOrchestrator.start_session:Function]
+    # @COMPLEXITY: 5
+    # @PURPOSE: Initialize a new session from a Superset link or dataset selection and trigger context recovery.
+    # @RELATION: [DEPENDS_ON] ->[SessionRepo]
+    # @RELATION: [CALLS] ->[SupersetContextExtractor.parse_superset_link]
+    # @RELATION: [CALLS] ->[create_task]
+    # @PRE: source input is non-empty and environment is accessible.
+    # @POST: session exists in persisted storage with intake/recovery state and task linkage when async work is required.
+    # @SIDE_EFFECT: persists session and may enqueue recovery task.
+    # @DATA_CONTRACT: Input[StartSessionCommand] -> Output[StartSessionResult]
+    # @INVARIANT: no cross-user session leakage occurs; session and follow-up task remain owned by the authenticated user.
+    def start_session(self, command: StartSessionCommand) -> StartSessionResult:
+        with belief_scope("DatasetReviewOrchestrator.start_session"):
+            normalized_source_kind = str(command.source_kind or "").strip()
+            normalized_source_input = str(command.source_input or "").strip()
+            normalized_environment_id = str(command.environment_id or "").strip()
+
+            if not normalized_source_input:
+                logger.explore("Blocked dataset review session start due to empty source input")
+                raise ValueError("source_input must be non-empty")
+
+            if normalized_source_kind not in {"superset_link", "dataset_selection"}:
+                logger.explore(
+                    "Blocked dataset review session start due to unsupported source kind",
+                    extra={"source_kind": normalized_source_kind},
+                )
+                raise ValueError("source_kind must be 'superset_link' or 'dataset_selection'")
+
+            environment = self.config_manager.get_environment(normalized_environment_id)
+            if environment is None:
+                logger.explore(
+                    "Blocked dataset review session start because environment was not found",
+                    extra={"environment_id": normalized_environment_id},
+                )
+                raise ValueError("Environment not found")
+
+            logger.reason(
+                "Starting dataset review session",
+                extra={
+                    "user_id": command.user.id,
+                    "environment_id": normalized_environment_id,
+                    "source_kind": normalized_source_kind,
+                },
+            )
+
+            parsed_context: Optional[SupersetParsedContext] = None
+            findings: List[ValidationFinding] = []
+            dataset_ref = normalized_source_input
+            dataset_id: Optional[int] = None
+            dashboard_id: Optional[int] = None
+            readiness_state = ReadinessState.IMPORTING
+            recommended_action = RecommendedAction.REVIEW_DOCUMENTATION
+            current_phase = SessionPhase.RECOVERY
+
+            if normalized_source_kind == "superset_link":
+                extractor = SupersetContextExtractor(environment)
+                parsed_context = extractor.parse_superset_link(normalized_source_input)
+                dataset_ref = parsed_context.dataset_ref
+                dataset_id = parsed_context.dataset_id
+                dashboard_id = parsed_context.dashboard_id
+
+                if parsed_context.partial_recovery:
+                    readiness_state = ReadinessState.RECOVERY_REQUIRED
+                    recommended_action = RecommendedAction.REVIEW_DOCUMENTATION
+                    findings.extend(self._build_partial_recovery_findings(parsed_context))
+                else:
+                    readiness_state = ReadinessState.REVIEW_READY
+            else:
+                dataset_ref, dataset_id = self._parse_dataset_selection(normalized_source_input)
+                readiness_state = ReadinessState.REVIEW_READY
+                current_phase = SessionPhase.REVIEW
+
+            session = DatasetReviewSession(
+                user_id=command.user.id,
+                environment_id=normalized_environment_id,
+                source_kind=normalized_source_kind,
+                source_input=normalized_source_input,
+                dataset_ref=dataset_ref,
+                dataset_id=dataset_id,
+                dashboard_id=dashboard_id,
+                readiness_state=readiness_state,
+                recommended_action=recommended_action,
+                status=SessionStatus.ACTIVE,
+                current_phase=current_phase,
+            )
+            persisted_session = self.repository.create_session(session)
+
+            profile = self._build_initial_profile(
+                session_id=persisted_session.session_id,
+                parsed_context=parsed_context,
+                dataset_ref=dataset_ref,
+            )
+            persisted_session = self.repository.save_profile_and_findings(
+                persisted_session.session_id,
+                command.user.id,
+                profile,
+                findings,
+            )
+
+            active_task_id = self._enqueue_recovery_task(
+                command=command,
+                session=persisted_session,
+                parsed_context=parsed_context,
+            )
+            if active_task_id:
+                persisted_session.active_task_id = active_task_id
+                self.repository.db.commit()
+                self.repository.db.refresh(persisted_session)
+                logger.reason(
+                    "Linked recovery task to started dataset review session",
+                    extra={"session_id": persisted_session.session_id, "task_id": active_task_id},
+                )
+
+            logger.reflect(
+                "Dataset review session start completed",
+                extra={
+                    "session_id": persisted_session.session_id,
+                    "dataset_ref": persisted_session.dataset_ref,
+                    "dataset_id": persisted_session.dataset_id,
+                    "dashboard_id": persisted_session.dashboard_id,
+                    "readiness_state": persisted_session.readiness_state.value,
+                    "active_task_id": persisted_session.active_task_id,
+                    "finding_count": len(findings),
+                },
+            )
+            return StartSessionResult(
+                session=persisted_session,
+                parsed_context=parsed_context,
+                findings=findings,
+            )
+    # [/DEF:DatasetReviewOrchestrator.start_session:Function]
+
+    # [DEF:DatasetReviewOrchestrator._parse_dataset_selection:Function]
+    # @COMPLEXITY: 3
+    # @PURPOSE: Normalize dataset-selection payload into canonical session references.
+    # @RELATION: [DEPENDS_ON] ->[DatasetReviewSession]
+    def _parse_dataset_selection(self, source_input: str) -> tuple[str, Optional[int]]:
+        normalized = str(source_input or "").strip()
+        if not normalized:
+            raise ValueError("dataset selection input must be non-empty")
+
+        if normalized.isdigit():
+            dataset_id = int(normalized)
+            return f"dataset:{dataset_id}", dataset_id
+
+        if normalized.startswith("dataset:"):
+            suffix = normalized.split(":", 1)[1].strip()
+            if suffix.isdigit():
+                return normalized, int(suffix)
+            return normalized, None
+
+        return normalized, None
+    # [/DEF:DatasetReviewOrchestrator._parse_dataset_selection:Function]
+
+    # [DEF:DatasetReviewOrchestrator._build_initial_profile:Function]
+    # @COMPLEXITY: 3
+    # @PURPOSE: Create the first profile snapshot so exports and detail views remain usable immediately after intake.
+    # @RELATION: [DEPENDS_ON] ->[DatasetProfile]
+    def _build_initial_profile(
+        self,
+        session_id: str,
+        parsed_context: Optional[SupersetParsedContext],
+        dataset_ref: str,
+    ) -> DatasetProfile:
+        dataset_name = dataset_ref.split(".")[-1] if dataset_ref else "Unresolved dataset"
+        business_summary = (
+            f"Review session initialized for {dataset_ref}."
+            if dataset_ref
+            else "Review session initialized with unresolved dataset context."
+        )
+        confidence_state = (
+            ConfidenceState.MIXED
+            if parsed_context and parsed_context.partial_recovery
+            else ConfidenceState.MOSTLY_CONFIRMED
+        )
+        return DatasetProfile(
+            session_id=session_id,
+            dataset_name=dataset_name or "Unresolved dataset",
+            schema_name=dataset_ref.split(".")[0] if "." in dataset_ref else None,
+            business_summary=business_summary,
+            business_summary_source=BusinessSummarySource.IMPORTED,
+            description="Initial review profile created from source intake.",
+            dataset_type="unknown",
+            is_sqllab_view=False,
+            completeness_score=0.25,
+            confidence_state=confidence_state,
+            has_blocking_findings=False,
+            has_warning_findings=bool(parsed_context and parsed_context.partial_recovery),
+            manual_summary_locked=False,
+        )
+    # [/DEF:DatasetReviewOrchestrator._build_initial_profile:Function]
+
+    # [DEF:DatasetReviewOrchestrator._build_partial_recovery_findings:Function]
+    # @COMPLEXITY: 4
+    # @PURPOSE: Project partial Superset intake recovery into explicit findings without blocking session usability.
+    # @RELATION: [DEPENDS_ON] ->[ValidationFinding]
+    # @PRE: parsed_context.partial_recovery is true.
+    # @POST: returns warning-level findings that preserve usable but incomplete state.
+    # @SIDE_EFFECT: none beyond structured finding creation.
+    # @DATA_CONTRACT: Input[SupersetParsedContext] -> Output[List[ValidationFinding]]
+    def _build_partial_recovery_findings(
+        self,
+        parsed_context: SupersetParsedContext,
+    ) -> List[ValidationFinding]:
+        findings: List[ValidationFinding] = []
+        for unresolved_ref in parsed_context.unresolved_references:
+            findings.append(
+                ValidationFinding(
+                    area=FindingArea.SOURCE_INTAKE,
+                    severity=FindingSeverity.WARNING,
+                    code="PARTIAL_SUPERSET_RECOVERY",
+                    title="Superset context recovered partially",
+                    message=(
+                        "Session remains usable, but some Superset context requires review: "
+                        f"{unresolved_ref.replace('_', ' ')}."
+                    ),
+                    resolution_state=ResolutionState.OPEN,
+                    caused_by_ref=unresolved_ref,
+                )
+            )
+        return findings
+    # [/DEF:DatasetReviewOrchestrator._build_partial_recovery_findings:Function]
+
+    # [DEF:DatasetReviewOrchestrator._enqueue_recovery_task:Function]
+    # @COMPLEXITY: 4
+    # @PURPOSE: Link session start to observable async recovery when task infrastructure is available.
+    # @RELATION: [CALLS] ->[create_task]
+    # @PRE: session is already persisted.
+    # @POST: returns task identifier when a task could be enqueued, otherwise None.
+    # @SIDE_EFFECT: may create one background task for progressive recovery.
+    # @DATA_CONTRACT: Input[StartSessionCommand,DatasetReviewSession,SupersetParsedContext|None] -> Output[task_id:str|None]
+    def _enqueue_recovery_task(
+        self,
+        command: StartSessionCommand,
+        session: DatasetReviewSession,
+        parsed_context: Optional[SupersetParsedContext],
+    ) -> Optional[str]:
+        if self.task_manager is None:
+            logger.reason(
+                "Dataset review session started without task manager; continuing synchronously",
+                extra={"session_id": session.session_id},
+            )
+            return None
+
+        task_params: Dict[str, Any] = {
+            "session_id": session.session_id,
+            "user_id": command.user.id,
+            "environment_id": session.environment_id,
+            "source_kind": session.source_kind,
+            "source_input": session.source_input,
+            "dataset_ref": session.dataset_ref,
+            "dataset_id": session.dataset_id,
+            "dashboard_id": session.dashboard_id,
+            "partial_recovery": bool(parsed_context and parsed_context.partial_recovery),
+        }
+
+        create_task = getattr(self.task_manager, "create_task", None)
+        if create_task is None:
+            logger.explore("Task manager has no create_task method; skipping recovery enqueue")
+            return None
+
+        try:
+            task_object = create_task(
+                plugin_id="dataset-review-recovery",
+                params=task_params,
+            )
+        except TypeError:
+            logger.explore(
+                "Recovery task enqueue skipped because task manager create_task contract is incompatible",
+                extra={"session_id": session.session_id},
+            )
+            return None
+
+        task_id = getattr(task_object, "id", None)
+        return str(task_id) if task_id else None
+    # [/DEF:DatasetReviewOrchestrator._enqueue_recovery_task:Function]
+# [/DEF:DatasetReviewOrchestrator:Class]
+
+# [/DEF:DatasetReviewOrchestrator:Module]

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

@@ -8,6 +8,9 @@
 # @RELATION: [DEPENDS_ON] -> [CompiledPreview]
 # @PRE: repository operations execute within authenticated request or task scope.
 # @POST: session aggregate reads are structurally consistent and writes preserve ownership and version semantics.
+# @SIDE_EFFECT: reads and writes SQLAlchemy-backed session aggregates.
+# @DATA_CONTRACT: Input[SessionMutation] -> Output[PersistedSessionAggregate]
+# @INVARIANT: answers, mapping approvals, preview artifacts, and launch snapshots are never attributed to the wrong user or session.
 
 from typing import Optional, List
 from sqlalchemy import or_
@@ -22,27 +25,51 @@ from src.models.dataset_review import (
 )
 from src.core.logger import belief_scope
 
+# [DEF:SessionRepo:Class]
+# @COMPLEXITY: 4
+# @PURPOSE: Enforce ownership-scoped persistence and retrieval for dataset review session aggregates.
+# @RELATION: [DEPENDS_ON] -> [DatasetReviewSession]
+# @RELATION: [DEPENDS_ON] -> [DatasetProfile]
+# @RELATION: [DEPENDS_ON] -> [ValidationFinding]
+# @RELATION: [DEPENDS_ON] -> [CompiledPreview]
+# @PRE: constructor receives a live SQLAlchemy session and callers provide authenticated user scope for guarded reads and writes.
+# @POST: repository methods return ownership-scoped aggregates or persisted child records without changing domain meaning.
+# @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]
     def __init__(self, db: Session):
         self.db = db
+    # [/DEF:init_repo:Function]
 
+    # [DEF:create_sess:Function]
+    # @COMPLEXITY: 4
+    # @PURPOSE: Persist an initial dataset review session shell.
+    # @RELATION: [DEPENDS_ON] -> [DatasetReviewSession]
+    # @PRE: session is a new aggregate root bound to the current ownership scope.
+    # @POST: session is committed, refreshed, and returned with persisted identifiers.
+    # @SIDE_EFFECT: inserts a session row and commits the active transaction.
+    # @DATA_CONTRACT: Input[DatasetReviewSession] -> Output[DatasetReviewSession]
     def create_session(self, session: DatasetReviewSession) -> DatasetReviewSession:
-        """
-        @PURPOSE: Persist initial session shell.
-        """
         with belief_scope("DatasetReviewSessionRepository.create_session"):
             self.db.add(session)
             self.db.commit()
             self.db.refresh(session)
             return session
+    # [/DEF:create_sess:Function]
 
+    # [DEF:load_detail:Function]
+    # @COMPLEXITY: 3
+    # @PURPOSE: Return the full session aggregate for API and frontend resume flows.
+    # @RELATION: [DEPENDS_ON] -> [DatasetReviewSession]
+    # @RELATION: [DEPENDS_ON] -> [SessionCollaborator]
     def load_session_detail(self, session_id: str, user_id: str) -> Optional[DatasetReviewSession]:
         """
-        @PURPOSE: Return the full session aggregate for API/frontend use.
         @PRE: user_id must match session owner or authorized collaborator.
         """
         with belief_scope("DatasetReviewSessionRepository.load_session_detail"):
@@ -70,11 +97,19 @@ class DatasetReviewSessionRepository:
                     )
                 )\
                 .first()
+    # [/DEF:load_detail:Function]
 
+    # [DEF:save_prof_find:Function]
+    # @COMPLEXITY: 4
+    # @PURPOSE: Persist profile state and replace validation findings for an owned session in one transaction.
+    # @RELATION: [DEPENDS_ON] -> [DatasetReviewSession]
+    # @RELATION: [DEPENDS_ON] -> [DatasetProfile]
+    # @RELATION: [DEPENDS_ON] -> [ValidationFinding]
+    # @PRE: session_id belongs to user_id and the supplied profile/findings belong to the same aggregate scope.
+    # @POST: stored profile matches the current session and findings are replaced by the supplied collection.
+    # @SIDE_EFFECT: updates profile rows, deletes stale findings, inserts current findings, and commits the transaction.
+    # @DATA_CONTRACT: Input[ProfileAndFindingsMutation] -> Output[DatasetReviewSession]
     def save_profile_and_findings(self, session_id: str, user_id: str, profile: DatasetProfile, findings: List[ValidationFinding]) -> DatasetReviewSession:
-        """
-        @PURPOSE: Persist profile and validation state together.
-        """
         with belief_scope("DatasetReviewSessionRepository.save_profile_and_findings"):
             session = self.db.query(DatasetReviewSession).filter(
                 DatasetReviewSession.session_id == session_id,
@@ -103,11 +138,18 @@ class DatasetReviewSessionRepository:
 
             self.db.commit()
             return self.load_session_detail(session_id, user_id)
+    # [/DEF:save_prof_find:Function]
 
+    # [DEF:save_prev:Function]
+    # @COMPLEXITY: 4
+    # @PURPOSE: Persist a preview snapshot and mark prior session previews stale.
+    # @RELATION: [DEPENDS_ON] -> [DatasetReviewSession]
+    # @RELATION: [DEPENDS_ON] -> [CompiledPreview]
+    # @PRE: session_id belongs to user_id and preview is prepared for the same session aggregate.
+    # @POST: preview is persisted and the session points to the latest preview identifier.
+    # @SIDE_EFFECT: updates prior preview statuses, inserts a preview row, mutates the parent session, and commits.
+    # @DATA_CONTRACT: Input[PreviewMutation] -> Output[CompiledPreview]
     def save_preview(self, session_id: str, user_id: str, preview: CompiledPreview) -> CompiledPreview:
-        """
-        @PURPOSE: Persist compiled preview attempt and mark older fingerprints stale.
-        """
         with belief_scope("DatasetReviewSessionRepository.save_preview"):
             session = self.db.query(DatasetReviewSession).filter(
                 DatasetReviewSession.session_id == session_id,
@@ -129,11 +171,18 @@ class DatasetReviewSessionRepository:
             self.db.commit()
             self.db.refresh(preview)
             return preview
+    # [/DEF:save_prev:Function]
 
+    # [DEF:save_run_ctx:Function]
+    # @COMPLEXITY: 4
+    # @PURPOSE: Persist an immutable launch audit snapshot for an owned session.
+    # @RELATION: [DEPENDS_ON] -> [DatasetReviewSession]
+    # @RELATION: [DEPENDS_ON] -> [DatasetRunContext]
+    # @PRE: session_id belongs to user_id and run_context targets the same aggregate.
+    # @POST: run context is persisted and linked as the latest launch snapshot for the session.
+    # @SIDE_EFFECT: inserts a run-context row, mutates the parent session pointer, and commits.
+    # @DATA_CONTRACT: Input[RunContextMutation] -> Output[DatasetRunContext]
     def save_run_context(self, session_id: str, user_id: str, run_context: DatasetRunContext) -> DatasetRunContext:
-        """
-        @PURPOSE: Persist immutable launch audit snapshot.
-        """
         with belief_scope("DatasetReviewSessionRepository.save_run_context"):
             session = self.db.query(DatasetReviewSession).filter(
                 DatasetReviewSession.session_id == session_id,
@@ -150,14 +199,18 @@ class DatasetReviewSessionRepository:
             self.db.commit()
             self.db.refresh(run_context)
             return run_context
+    # [/DEF:save_run_ctx:Function]
 
+    # [DEF:list_user_sess:Function]
+    # @COMPLEXITY: 3
+    # @PURPOSE: List review sessions owned by a specific user ordered by most recent update.
+    # @RELATION: [DEPENDS_ON] -> [DatasetReviewSession]
     def list_sessions_for_user(self, user_id: str) -> List[DatasetReviewSession]:
-        """
-        @PURPOSE: List all review sessions owned by a user.
-        """
         with belief_scope("DatasetReviewSessionRepository.list_sessions_for_user"):
             return self.db.query(DatasetReviewSession).filter(
                 DatasetReviewSession.user_id == user_id
             ).order_by(DatasetReviewSession.updated_at.desc()).all()
+    # [/DEF:list_user_sess:Function]
+# [/DEF:SessionRepo:Class]
 
 # [/DEF:DatasetReviewSessionRepository:Module]

backend/src/services/dataset_review/semantic_resolver.py

@@ -0,0 +1,342 @@
+# [DEF:SemanticSourceResolver:Module]
+# @COMPLEXITY: 4
+# @SEMANTICS: dataset_review, semantic_resolution, dictionary, trusted_sources, ranking
+# @PURPOSE: Resolve and rank semantic candidates from trusted dictionary-like sources before any inferred fallback.
+# @LAYER: Domain
+# @RELATION: [DEPENDS_ON] ->[LLMProviderService]
+# @RELATION: [DEPENDS_ON] ->[SemanticSource]
+# @RELATION: [DEPENDS_ON] ->[SemanticFieldEntry]
+# @RELATION: [DEPENDS_ON] ->[SemanticCandidate]
+# @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.
+# @INVARIANT: Manual overrides are never silently replaced by imported, inferred, or AI-generated values.
+
+from __future__ import annotations
+
+# [DEF:SemanticSourceResolver.imports:Block]
+from dataclasses import dataclass, field
+from difflib import SequenceMatcher
+from typing import Any, Dict, Iterable, List, Mapping, Optional
+
+from src.core.logger import belief_scope, logger
+from src.models.dataset_review import (
+    CandidateMatchType,
+    CandidateStatus,
+    FieldProvenance,
+)
+# [/DEF:SemanticSourceResolver.imports:Block]
+
+
+# [DEF:DictionaryResolutionResult:Class]
+# @COMPLEXITY: 2
+# @PURPOSE: Carries field-level dictionary resolution output with explicit review and partial-recovery state.
+@dataclass
+class DictionaryResolutionResult:
+    source_ref: str
+    resolved_fields: List[Dict[str, Any]] = field(default_factory=list)
+    unresolved_fields: List[str] = field(default_factory=list)
+    partial_recovery: bool = False
+# [/DEF:DictionaryResolutionResult:Class]
+
+
+# [DEF:SemanticSourceResolver:Class]
+# @COMPLEXITY: 4
+# @PURPOSE: Resolve semantic candidates from trusted sources while preserving manual locks and confidence ordering.
+# @RELATION: [DEPENDS_ON] ->[SemanticFieldEntry]
+# @RELATION: [DEPENDS_ON] ->[SemanticCandidate]
+# @PRE: source payload and target field collection are provided by the caller.
+# @POST: result contains confidence-ranked candidates and does not overwrite manual locks implicitly.
+# @SIDE_EFFECT: emits semantic trace logs for ranking and fallback decisions.
+class SemanticSourceResolver:
+    # [DEF:SemanticSourceResolver.resolve_from_file:Function]
+    # @COMPLEXITY: 2
+    # @PURPOSE: Normalize uploaded semantic file records into field-level candidates.
+    def resolve_from_file(self, source_payload: Mapping[str, Any], fields: Iterable[Mapping[str, Any]]) -> DictionaryResolutionResult:
+        return DictionaryResolutionResult(source_ref=str(source_payload.get("source_ref") or "uploaded_file"))
+    # [/DEF:SemanticSourceResolver.resolve_from_file:Function]
+
+    # [DEF:SemanticSourceResolver.resolve_from_dictionary:Function]
+    # @COMPLEXITY: 4
+    # @PURPOSE: Resolve candidates from connected tabular dictionary sources.
+    # @RELATION: [DEPENDS_ON] ->[SemanticFieldEntry]
+    # @RELATION: [DEPENDS_ON] ->[SemanticCandidate]
+    # @PRE: dictionary source exists and fields contain stable field_name values.
+    # @POST: returns confidence-ranked candidates where exact dictionary matches outrank fuzzy matches and unresolved fields stay explicit.
+    # @SIDE_EFFECT: emits belief-state logs describing trusted-match and partial-recovery outcomes.
+    # @DATA_CONTRACT: Input[source_payload:Mapping,fields:Iterable] -> Output[DictionaryResolutionResult]
+    def resolve_from_dictionary(
+        self,
+        source_payload: Mapping[str, Any],
+        fields: Iterable[Mapping[str, Any]],
+    ) -> DictionaryResolutionResult:
+        with belief_scope("SemanticSourceResolver.resolve_from_dictionary"):
+            source_ref = str(source_payload.get("source_ref") or "").strip()
+            dictionary_rows = source_payload.get("rows")
+
+            if not source_ref:
+                logger.explore("Dictionary semantic source is missing source_ref")
+                raise ValueError("Dictionary semantic source must include source_ref")
+
+            if not isinstance(dictionary_rows, list) or not dictionary_rows:
+                logger.explore(
+                    "Dictionary semantic source has no usable rows",
+                    extra={"source_ref": source_ref},
+                )
+                raise ValueError("Dictionary semantic source must include non-empty rows")
+
+            logger.reason(
+                "Resolving semantics from trusted dictionary source",
+                extra={"source_ref": source_ref, "row_count": len(dictionary_rows)},
+            )
+
+            normalized_rows = [self._normalize_dictionary_row(row) for row in dictionary_rows if isinstance(row, Mapping)]
+            row_index = {
+                row["field_key"]: row
+                for row in normalized_rows
+                if row.get("field_key")
+            }
+
+            resolved_fields: List[Dict[str, Any]] = []
+            unresolved_fields: List[str] = []
+
+            for raw_field in fields:
+                field_name = str(raw_field.get("field_name") or "").strip()
+                if not field_name:
+                    continue
+
+                is_locked = bool(raw_field.get("is_locked"))
+                if is_locked:
+                    logger.reason(
+                        "Preserving manual lock during dictionary resolution",
+                        extra={"field_name": field_name},
+                    )
+                    resolved_fields.append(
+                        {
+                            "field_name": field_name,
+                            "applied_candidate": None,
+                            "candidates": [],
+                            "provenance": FieldProvenance.MANUAL_OVERRIDE.value,
+                            "needs_review": False,
+                            "has_conflict": False,
+                            "is_locked": True,
+                            "status": "preserved_manual",
+                        }
+                    )
+                    continue
+
+                exact_match = row_index.get(self._normalize_key(field_name))
+                candidates: List[Dict[str, Any]] = []
+
+                if exact_match is not None:
+                    logger.reason(
+                        "Resolved exact dictionary match",
+                        extra={"field_name": field_name, "source_ref": source_ref},
+                    )
+                    candidates.append(
+                        self._build_candidate_payload(
+                            rank=1,
+                            match_type=CandidateMatchType.EXACT,
+                            confidence_score=1.0,
+                            row=exact_match,
+                        )
+                    )
+                else:
+                    fuzzy_matches = self._find_fuzzy_matches(field_name, normalized_rows)
+                    for rank_offset, fuzzy_match in enumerate(fuzzy_matches, start=1):
+                        candidates.append(
+                            self._build_candidate_payload(
+                                rank=rank_offset,
+                                match_type=CandidateMatchType.FUZZY,
+                                confidence_score=float(fuzzy_match["score"]),
+                                row=fuzzy_match["row"],
+                            )
+                        )
+
+                if not candidates:
+                    unresolved_fields.append(field_name)
+                    resolved_fields.append(
+                        {
+                            "field_name": field_name,
+                            "applied_candidate": None,
+                            "candidates": [],
+                            "provenance": FieldProvenance.UNRESOLVED.value,
+                            "needs_review": True,
+                            "has_conflict": False,
+                            "is_locked": False,
+                            "status": "unresolved",
+                        }
+                    )
+                    logger.explore(
+                        "No trusted dictionary match found for field",
+                        extra={"field_name": field_name, "source_ref": source_ref},
+                    )
+                    continue
+
+                ranked_candidates = self.rank_candidates(candidates)
+                applied_candidate = ranked_candidates[0]
+                has_conflict = len(ranked_candidates) > 1
+                provenance = (
+                    FieldProvenance.DICTIONARY_EXACT.value
+                    if applied_candidate["match_type"] == CandidateMatchType.EXACT.value
+                    else FieldProvenance.FUZZY_INFERRED.value
+                )
+                needs_review = applied_candidate["match_type"] != CandidateMatchType.EXACT.value
+
+                resolved_fields.append(
+                    {
+                        "field_name": field_name,
+                        "applied_candidate": applied_candidate,
+                        "candidates": ranked_candidates,
+                        "provenance": provenance,
+                        "needs_review": needs_review,
+                        "has_conflict": has_conflict,
+                        "is_locked": False,
+                        "status": "resolved",
+                    }
+                )
+
+            result = DictionaryResolutionResult(
+                source_ref=source_ref,
+                resolved_fields=resolved_fields,
+                unresolved_fields=unresolved_fields,
+                partial_recovery=bool(unresolved_fields),
+            )
+            logger.reflect(
+                "Dictionary resolution completed",
+                extra={
+                    "source_ref": source_ref,
+                    "resolved_fields": len(resolved_fields),
+                    "unresolved_fields": len(unresolved_fields),
+                    "partial_recovery": result.partial_recovery,
+                },
+            )
+            return result
+    # [/DEF:SemanticSourceResolver.resolve_from_dictionary:Function]
+
+    # [DEF:SemanticSourceResolver.resolve_from_reference_dataset:Function]
+    # @COMPLEXITY: 2
+    # @PURPOSE: Reuse semantic metadata from trusted Superset datasets.
+    def resolve_from_reference_dataset(
+        self,
+        source_payload: Mapping[str, Any],
+        fields: Iterable[Mapping[str, Any]],
+    ) -> DictionaryResolutionResult:
+        return DictionaryResolutionResult(source_ref=str(source_payload.get("source_ref") or "reference_dataset"))
+    # [/DEF:SemanticSourceResolver.resolve_from_reference_dataset:Function]
+
+    # [DEF:SemanticSourceResolver.rank_candidates:Function]
+    # @COMPLEXITY: 3
+    # @PURPOSE: Apply confidence ordering and determine best candidate per field.
+    # @RELATION: [DEPENDS_ON] ->[SemanticCandidate]
+    def rank_candidates(self, candidates: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
+        ranked = sorted(
+            candidates,
+            key=lambda candidate: (
+                self._match_priority(candidate.get("match_type")),
+                -float(candidate.get("confidence_score", 0.0)),
+                int(candidate.get("candidate_rank", 999)),
+            ),
+        )
+        for index, candidate in enumerate(ranked, start=1):
+            candidate["candidate_rank"] = index
+        return ranked
+    # [/DEF:SemanticSourceResolver.rank_candidates:Function]
+
+    # [DEF:SemanticSourceResolver.detect_conflicts:Function]
+    # @COMPLEXITY: 2
+    # @PURPOSE: Mark competing candidate sets that require explicit user review.
+    def detect_conflicts(self, candidates: List[Dict[str, Any]]) -> bool:
+        return len(candidates) > 1
+    # [/DEF:SemanticSourceResolver.detect_conflicts:Function]
+
+    # [DEF:SemanticSourceResolver.apply_field_decision:Function]
+    # @COMPLEXITY: 2
+    # @PURPOSE: Accept, reject, or manually override a field-level semantic value.
+    def apply_field_decision(self, field_state: Mapping[str, Any], decision: Mapping[str, Any]) -> Dict[str, Any]:
+        merged = dict(field_state)
+        merged.update(decision)
+        return merged
+    # [/DEF:SemanticSourceResolver.apply_field_decision:Function]
+
+    # [DEF:SemanticSourceResolver._normalize_dictionary_row:Function]
+    # @COMPLEXITY: 2
+    # @PURPOSE: Normalize one dictionary row into a consistent lookup structure.
+    def _normalize_dictionary_row(self, row: Mapping[str, Any]) -> Dict[str, Any]:
+        field_name = (
+            row.get("field_name")
+            or row.get("column_name")
+            or row.get("name")
+            or row.get("field")
+        )
+        normalized_name = str(field_name or "").strip()
+        return {
+            "field_name": normalized_name,
+            "field_key": self._normalize_key(normalized_name),
+            "verbose_name": row.get("verbose_name") or row.get("label"),
+            "description": row.get("description"),
+            "display_format": row.get("display_format") or row.get("format"),
+        }
+    # [/DEF:SemanticSourceResolver._normalize_dictionary_row:Function]
+
+    # [DEF:SemanticSourceResolver._find_fuzzy_matches:Function]
+    # @COMPLEXITY: 2
+    # @PURPOSE: Produce confidence-scored fuzzy matches while keeping them reviewable.
+    def _find_fuzzy_matches(self, field_name: str, rows: List[Dict[str, Any]]) -> List[Dict[str, Any]]:
+        normalized_target = self._normalize_key(field_name)
+        fuzzy_matches: List[Dict[str, Any]] = []
+        for row in rows:
+            candidate_key = str(row.get("field_key") or "")
+            if not candidate_key:
+                continue
+            score = SequenceMatcher(None, normalized_target, candidate_key).ratio()
+            if score < 0.72:
+                continue
+            fuzzy_matches.append({"row": row, "score": round(score, 3)})
+        fuzzy_matches.sort(key=lambda item: item["score"], reverse=True)
+        return fuzzy_matches[:3]
+    # [/DEF:SemanticSourceResolver._find_fuzzy_matches:Function]
+
+    # [DEF:SemanticSourceResolver._build_candidate_payload:Function]
+    # @COMPLEXITY: 2
+    # @PURPOSE: Project normalized dictionary rows into semantic candidate payloads.
+    def _build_candidate_payload(
+        self,
+        rank: int,
+        match_type: CandidateMatchType,
+        confidence_score: float,
+        row: Mapping[str, Any],
+    ) -> Dict[str, Any]:
+        return {
+            "candidate_rank": rank,
+            "match_type": match_type.value,
+            "confidence_score": confidence_score,
+            "proposed_verbose_name": row.get("verbose_name"),
+            "proposed_description": row.get("description"),
+            "proposed_display_format": row.get("display_format"),
+            "status": CandidateStatus.PROPOSED.value,
+        }
+    # [/DEF:SemanticSourceResolver._build_candidate_payload:Function]
+
+    # [DEF:SemanticSourceResolver._match_priority:Function]
+    # @COMPLEXITY: 2
+    # @PURPOSE: Encode trusted-confidence ordering so exact dictionary reuse beats fuzzy invention.
+    def _match_priority(self, match_type: Optional[str]) -> int:
+        priority = {
+            CandidateMatchType.EXACT.value: 0,
+            CandidateMatchType.REFERENCE.value: 1,
+            CandidateMatchType.FUZZY.value: 2,
+            CandidateMatchType.GENERATED.value: 3,
+        }
+        return priority.get(str(match_type or ""), 99)
+    # [/DEF:SemanticSourceResolver._match_priority:Function]
+
+    # [DEF:SemanticSourceResolver._normalize_key:Function]
+    # @COMPLEXITY: 1
+    # @PURPOSE: Normalize field identifiers for stable exact/fuzzy comparisons.
+    def _normalize_key(self, value: str) -> str:
+        return "".join(ch for ch in str(value or "").strip().lower() if ch.isalnum() or ch == "_")
+    # [/DEF:SemanticSourceResolver._normalize_key:Function]
+# [/DEF:SemanticSourceResolver:Class]
+
+# [/DEF:SemanticSourceResolver:Module]

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

@@ -0,0 +1,332 @@
+<!-- [DEF:SourceIntakePanel:Component] -->
+<!-- @COMPLEXITY: 3 -->
+<!-- @SEMANTICS: dataset-review, intake, superset-link, dataset-selection, validation -->
+<!-- @PURPOSE: Collect initial dataset source input through Superset link paste or dataset selection entry paths. -->
+<!-- @LAYER: UI -->
+<!-- @RELATION: [BINDS_TO] ->[api_module] -->
+<!-- @UX_STATE: Idle -> Empty intake form with two clear entry paths. -->
+<!-- @UX_STATE: Validating -> Lightweight inline validation feedback. -->
+<!-- @UX_STATE: Rejected -> Input error shown with corrective hint. -->
+<!-- @UX_FEEDBACK: Recognized links are acknowledged before deeper recovery finishes. -->
+<!-- @UX_RECOVERY: Users can correct invalid input in place without resetting the page. -->
+<!-- @UX_REACTIVITY: Uses $props, $state, and $derived only; no legacy reactive syntax. -->
+<script>
+  import { t } from "$lib/i18n";
+
+  let {
+    environments = [],
+    selectedEnvironmentId = "",
+    initialSourceKind = "superset_link",
+    initialSourceInput = "",
+    submitting = false,
+    acknowledgment = "",
+    onsubmit = async () => {},
+  } = $props();
+
+  let sourceKind = $state("superset_link");
+  let sourceInput = $state("");
+  let environmentId = $state("");
+  let touched = $state(false);
+  let localError = $state("");
+  let submitAttempted = $state(false);
+
+  const normalizedSourceInput = $derived(sourceInput.trim());
+  const normalizedEnvironmentId = $derived(String(environmentId || "").trim());
+  const isSupersetLinkMode = $derived(sourceKind === "superset_link");
+  const linkLooksRecognized = $derived(
+    /^https?:\/\/.+\/superset\/|^https?:\/\/.+\/explore\/|^https?:\/\/.+\/dashboard\//i.test(
+      normalizedSourceInput,
+    ),
+  );
+  const intakeState = $derived(
+    localError
+      ? "Rejected"
+      : submitting || touched
+        ? "Validating"
+        : "Idle",
+  );
+  const canSubmit = $derived(
+    normalizedEnvironmentId.length > 0 && normalizedSourceInput.length > 0 && !submitting,
+  );
+
+  $effect(() => {
+    if (!touched && !submitAttempted) {
+      sourceKind = initialSourceKind || "superset_link";
+    }
+
+    if (!environmentId) {
+      environmentId = selectedEnvironmentId || "";
+    }
+
+    if (!sourceInput) {
+      sourceInput = initialSourceInput || "";
+    }
+  });
+
+  function setMode(nextMode) {
+    sourceKind = nextMode;
+    localError = "";
+    touched = false;
+    submitAttempted = false;
+  }
+
+  function getInlineHint() {
+    if (!normalizedEnvironmentId) {
+      return $t.dataset_review?.source?.environment_required;
+    }
+
+    if (!normalizedSourceInput) {
+      return isSupersetLinkMode
+        ? $t.dataset_review?.source?.superset_link_hint
+        : $t.dataset_review?.source?.dataset_selection_hint;
+    }
+
+    if (localError) {
+      return localError;
+    }
+
+    if (isSupersetLinkMode && linkLooksRecognized) {
+      return (
+        acknowledgment ||
+        $t.dataset_review?.source?.recognized_link_hint ||
+        $t.dataset_review?.source?.superset_link_hint
+      );
+    }
+
+    return isSupersetLinkMode
+      ? $t.dataset_review?.source?.superset_link_hint
+      : $t.dataset_review?.source?.dataset_selection_hint;
+  }
+
+  function validatePayload() {
+    if (!normalizedEnvironmentId) {
+      return $t.dataset_review?.source?.environment_required;
+    }
+
+    if (!normalizedSourceInput) {
+      return isSupersetLinkMode
+        ? $t.dataset_review?.source?.superset_link_required
+        : $t.dataset_review?.source?.dataset_selection_required;
+    }
+
+    if (isSupersetLinkMode && !/^https?:\/\//i.test(normalizedSourceInput)) {
+      return $t.dataset_review?.source?.superset_link_invalid;
+    }
+
+    return "";
+  }
+
+  async function submitPayload() {
+    touched = true;
+    submitAttempted = true;
+    localError = validatePayload();
+
+    if (localError) {
+      return;
+    }
+
+    try {
+      await onsubmit({
+        source_kind: sourceKind,
+        source_input: normalizedSourceInput,
+        environment_id: normalizedEnvironmentId,
+      });
+      localError = "";
+    } catch (error) {
+      localError =
+        error?.message ||
+        $t.dataset_review?.source?.submit_failed ||
+        $t.common?.error;
+    }
+  }
+
+  function handleInput() {
+    touched = true;
+    if (submitAttempted) {
+      localError = validatePayload();
+    }
+  }
+
+  async function submitSupersetLink(event) {
+    event?.preventDefault?.();
+    sourceKind = "superset_link";
+    await submitPayload();
+  }
+
+  async function submitDatasetSelection(event) {
+    event?.preventDefault?.();
+    sourceKind = "dataset_selection";
+    await submitPayload();
+  }
+
+  async function handleSubmit(event) {
+    if (isSupersetLinkMode) {
+      await submitSupersetLink(event);
+      return;
+    }
+
+    await submitDatasetSelection(event);
+  }
+</script>
+
+<div class="rounded-2xl border border-slate-200 bg-white p-5 shadow-sm">
+  <div class="flex flex-col gap-2 md:flex-row md:items-start md:justify-between">
+    <div>
+      <p class="text-xs font-semibold uppercase tracking-wide text-blue-700">
+        {$t.dataset_review?.source?.eyebrow}
+      </p>
+      <h2 class="text-xl font-semibold text-slate-900">
+        {$t.dataset_review?.source?.title}
+      </h2>
+      <p class="mt-1 max-w-2xl text-sm text-slate-600">
+        {$t.dataset_review?.source?.description}
+      </p>
+    </div>
+
+    <div
+      class={`inline-flex rounded-full px-3 py-1 text-xs font-medium ${
+        intakeState === "Rejected"
+          ? "bg-red-100 text-red-700"
+          : intakeState === "Validating"
+            ? "bg-amber-100 text-amber-700"
+            : "bg-slate-100 text-slate-700"
+      }`}
+    >
+      {#if intakeState === "Rejected"}
+        {$t.dataset_review?.source?.state_rejected}
+      {:else if intakeState === "Validating"}
+        {$t.dataset_review?.source?.state_validating}
+      {:else}
+        {$t.dataset_review?.source?.state_idle}
+      {/if}
+    </div>
+  </div>
+
+  <div class="mt-5 grid gap-3 md:grid-cols-2">
+    <button
+      type="button"
+      class={`rounded-xl border px-4 py-3 text-left transition ${
+        isSupersetLinkMode
+          ? "border-blue-500 bg-blue-50 text-blue-900 shadow-sm"
+          : "border-slate-200 bg-white text-slate-700 hover:border-slate-300 hover:bg-slate-50"
+      }`}
+      onclick={() => setMode("superset_link")}
+    >
+      <div class="text-sm font-semibold">
+        {$t.dataset_review?.source?.superset_link_tab}
+      </div>
+      <div class="mt-1 text-xs text-slate-500">
+        {$t.dataset_review?.source?.superset_link_tab_hint}
+      </div>
+    </button>
+
+    <button
+      type="button"
+      class={`rounded-xl border px-4 py-3 text-left transition ${
+        !isSupersetLinkMode
+          ? "border-blue-500 bg-blue-50 text-blue-900 shadow-sm"
+          : "border-slate-200 bg-white text-slate-700 hover:border-slate-300 hover:bg-slate-50"
+      }`}
+      onclick={() => setMode("dataset_selection")}
+    >
+      <div class="text-sm font-semibold">
+        {$t.dataset_review?.source?.dataset_selection_tab}
+      </div>
+      <div class="mt-1 text-xs text-slate-500">
+        {$t.dataset_review?.source?.dataset_selection_tab_hint}
+      </div>
+    </button>
+  </div>
+
+  <form class="mt-5 space-y-4" onsubmit={handleSubmit}>
+    <div class="grid gap-4 lg:grid-cols-[minmax(0,14rem)_minmax(0,1fr)]">
+      <label class="space-y-2">
+        <span class="text-sm font-medium text-slate-700">
+          {$t.dataset_review?.source?.environment_label}
+        </span>
+        <select
+          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={environmentId}
+          onchange={handleInput}
+        >
+          <option value="">{$t.common?.choose_environment}</option>
+          {#each environments as environment}
+            <option value={environment.id}>{environment.name}</option>
+          {/each}
+        </select>
+      </label>
+
+      <label class="space-y-2">
+        <span class="text-sm font-medium text-slate-700">
+          {isSupersetLinkMode
+            ? $t.dataset_review?.source?.superset_link_label
+            : $t.dataset_review?.source?.dataset_selection_label}
+        </span>
+
+        {#if isSupersetLinkMode}
+          <input
+            class={`w-full rounded-xl border px-3 py-2 text-sm text-slate-900 shadow-sm outline-none transition focus:ring-2 ${
+              localError
+                ? "border-red-300 bg-red-50 focus:border-red-400 focus:ring-red-100"
+                : "border-slate-300 bg-white focus:border-blue-500 focus:ring-blue-200"
+            }`}
+            type="url"
+            placeholder={$t.dataset_review?.source?.superset_link_placeholder}
+            bind:value={sourceInput}
+            oninput={handleInput}
+          />
+        {:else}
+          <input
+            class={`w-full rounded-xl border px-3 py-2 text-sm text-slate-900 shadow-sm outline-none transition focus:ring-2 ${
+              localError
+                ? "border-red-300 bg-red-50 focus:border-red-400 focus:ring-red-100"
+                : "border-slate-300 bg-white focus:border-blue-500 focus:ring-blue-200"
+            }`}
+            type="text"
+            placeholder={$t.dataset_review?.source?.dataset_selection_placeholder}
+            bind:value={sourceInput}
+            oninput={handleInput}
+          />
+        {/if}
+      </label>
+    </div>
+
+    <div
+      class={`rounded-xl border px-4 py-3 text-sm ${
+        localError
+          ? "border-red-200 bg-red-50 text-red-700"
+          : linkLooksRecognized && isSupersetLinkMode
+            ? "border-emerald-200 bg-emerald-50 text-emerald-800"
+            : "border-slate-200 bg-slate-50 text-slate-600"
+      }`}
+    >
+      {getInlineHint()}
+    </div>
+
+    <div class="flex flex-col gap-3 sm:flex-row sm:items-center sm:justify-between">
+      <div class="text-xs text-slate-500">
+        {#if isSupersetLinkMode}
+          {$t.dataset_review?.source?.superset_link_recovery_note}
+        {:else}
+          {$t.dataset_review?.source?.dataset_selection_recovery_note}
+        {/if}
+      </div>
+
+      <button
+        type="submit"
+        class="inline-flex items-center justify-center rounded-xl bg-blue-600 px-4 py-2 text-sm font-medium text-white transition hover:bg-blue-700 disabled:cursor-not-allowed disabled:bg-slate-300"
+        disabled={!canSubmit}
+      >
+        {#if submitting}
+          {$t.dataset_review?.source?.submitting}
+        {:else if isSupersetLinkMode}
+          {$t.dataset_review?.source?.submit_superset_link}
+        {:else}
+          {$t.dataset_review?.source?.submit_dataset_selection}
+        {/if}
+      </button>
+    </div>
+  </form>
+</div>
+
+<!-- [/DEF:SourceIntakePanel:Component] -->

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

@@ -0,0 +1,332 @@
+<!-- [DEF:ValidationFindingsPanel:Component] -->
+<!-- @COMPLEXITY: 3 -->
+<!-- @SEMANTICS: dataset-review, findings, severity, readiness, actionability -->
+<!-- @PURPOSE: Present validation findings grouped by severity with explicit resolution and actionability signals. -->
+<!-- @LAYER: UI -->
+<!-- @RELATION: [BINDS_TO] ->[DatasetReviewWorkspace] -->
+<!-- @UX_STATE: Blocking -> Blocking findings are visually dominant and block launch flow. -->
+<!-- @UX_STATE: Warning -> Warnings remain visible with explicit approval or defer actions. -->
+<!-- @UX_STATE: Informational -> Low-priority findings are collapsed or secondary. -->
+<!-- @UX_FEEDBACK: Resolving or approving an item updates readiness state immediately. -->
+<!-- @UX_RECOVERY: Users can jump from a finding directly to the relevant remediation area. -->
+<!-- @UX_REACTIVITY: Uses $props and $derived only; no legacy reactive syntax. -->
+
+<script>
+  import { t } from "$lib/i18n";
+
+  let {
+    findings = [],
+    recommendedAction = "",
+    onjump = () => {},
+  } = $props();
+
+  const groupedFindings = $derived(groupFindingsBySeverity(findings || []));
+  const blockingFindings = $derived(groupedFindings.blocking);
+  const warningFindings = $derived(groupedFindings.warning);
+  const informationalFindings = $derived(groupedFindings.informational);
+  const totalFindings = $derived(
+    blockingFindings.length + warningFindings.length + informationalFindings.length,
+  );
+
+  function groupFindingsBySeverity(items) {
+    return (items || []).reduce(
+      (accumulator, finding) => {
+        const severity = String(finding?.severity || "informational");
+        if (severity === "blocking") {
+          accumulator.blocking.push(finding);
+          return accumulator;
+        }
+        if (severity === "warning") {
+          accumulator.warning.push(finding);
+          return accumulator;
+        }
+        accumulator.informational.push(finding);
+        return accumulator;
+      },
+      { blocking: [], warning: [], informational: [] },
+    );
+  }
+
+  function buildTargetFromFinding(finding) {
+    const area = String(finding?.area || "");
+    if (area === "source_intake") return "intake";
+    if (area === "dataset_profile") return "summary";
+    if (area === "semantic_enrichment") return "semantics";
+    if (area === "clarification") return "clarification";
+    if (area === "filter_recovery") return "filters";
+    if (area === "template_mapping") return "mappings";
+    if (area === "compiled_preview") return "preview";
+    if (area === "launch") return "launch";
+    return "summary";
+  }
+
+  function jumpToFindingTarget(finding) {
+    onjump({
+      target: buildTargetFromFinding(finding),
+      finding,
+    });
+  }
+
+  function getResolutionLabel(resolutionState) {
+    const normalized = String(resolutionState || "open");
+    return $t.dataset_review?.findings?.resolution?.[normalized] || normalized;
+  }
+
+  function getAreaLabel(area) {
+    const normalized = String(area || "dataset_profile");
+    return $t.dataset_review?.findings?.areas?.[normalized] || normalized;
+  }
+
+  function getRecommendedActionLabel(action) {
+    const normalized = String(action || "");
+    return $t.dataset_review?.workspace?.actions?.[normalized] || normalized;
+  }
+</script>
+
+<div class="rounded-2xl border border-slate-200 bg-white p-5 shadow-sm">
+  <div class="flex flex-col gap-3 md:flex-row md:items-start md:justify-between">
+    <div>
+      <p class="text-xs font-semibold uppercase tracking-wide text-slate-500">
+        {$t.dataset_review?.findings?.eyebrow}
+      </p>
+      <h2 class="text-xl font-semibold text-slate-900">
+        {$t.dataset_review?.findings?.title}
+      </h2>
+      <p class="mt-1 max-w-3xl text-sm text-slate-600">
+        {$t.dataset_review?.findings?.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">
+        {$t.dataset_review?.findings?.next_action_label}
+      </div>
+      <div class="mt-1 text-sm font-medium text-slate-900">
+        {getRecommendedActionLabel(recommendedAction)}
+      </div>
+    </div>
+  </div>
+
+  {#if totalFindings === 0}
+    <div class="mt-5 rounded-xl border border-emerald-200 bg-emerald-50 px-4 py-4 text-sm text-emerald-800">
+      {$t.dataset_review?.findings?.empty}
+    </div>
+  {:else}
+    <div class="mt-5 space-y-4">
+      <section class="rounded-2xl border border-red-200 bg-red-50 p-4">
+        <div class="flex items-center gap-3">
+          <h3 class="text-sm font-semibold text-slate-900">
+            {$t.dataset_review?.findings?.blocking_title}
+          </h3>
+          <span class="rounded-full bg-red-100 px-2.5 py-1 text-xs font-medium text-red-700">
+            {blockingFindings.length}
+          </span>
+        </div>
+
+        {#if blockingFindings.length === 0}
+          <p class="mt-3 text-sm text-slate-600">
+            {$t.dataset_review?.findings?.blocking_empty}
+          </p>
+        {:else}
+          <div class="mt-3 space-y-3">
+            {#each blockingFindings as finding}
+              <article class="rounded-xl border border-white/70 bg-white/80 p-4 shadow-sm">
+                <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">
+                      <h4 class="text-sm font-semibold text-slate-900">
+                        {finding.title}
+                      </h4>
+                      <span class="rounded-full bg-slate-100 px-2 py-0.5 text-xs font-medium text-slate-600">
+                        {finding.code}
+                      </span>
+                      <span class="rounded-full bg-slate-100 px-2 py-0.5 text-xs text-slate-600">
+                        {getAreaLabel(finding.area)}
+                      </span>
+                    </div>
+
+                    <p class="mt-2 text-sm leading-6 text-slate-700">
+                      {finding.message}
+                    </p>
+
+                    <div class="mt-3 flex flex-wrap gap-2 text-xs">
+                      <span class="rounded-full bg-slate-100 px-2 py-1 text-slate-600">
+                        {$t.dataset_review?.findings?.resolution_label}:
+                        {getResolutionLabel(finding.resolution_state)}
+                      </span>
+
+                      {#if finding.caused_by_ref}
+                        <span class="rounded-full bg-slate-100 px-2 py-1 text-slate-600">
+                          {$t.dataset_review?.findings?.reference_label}:
+                          {finding.caused_by_ref}
+                        </span>
+                      {/if}
+                    </div>
+
+                    {#if finding.resolution_note}
+                      <p class="mt-2 text-xs text-slate-500">{finding.resolution_note}</p>
+                    {/if}
+                  </div>
+
+                  <div class="flex shrink-0 items-center 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-100"
+                      onclick={() => jumpToFindingTarget(finding)}
+                    >
+                      {$t.dataset_review?.findings?.jump_action}
+                    </button>
+                  </div>
+                </div>
+              </article>
+            {/each}
+          </div>
+        {/if}
+      </section>
+
+      <section class="rounded-2xl border border-amber-200 bg-amber-50 p-4">
+        <div class="flex items-center gap-3">
+          <h3 class="text-sm font-semibold text-slate-900">
+            {$t.dataset_review?.findings?.warning_title}
+          </h3>
+          <span class="rounded-full bg-amber-100 px-2.5 py-1 text-xs font-medium text-amber-700">
+            {warningFindings.length}
+          </span>
+        </div>
+
+        {#if warningFindings.length === 0}
+          <p class="mt-3 text-sm text-slate-600">
+            {$t.dataset_review?.findings?.warning_empty}
+          </p>
+        {:else}
+          <div class="mt-3 space-y-3">
+            {#each warningFindings as finding}
+              <article class="rounded-xl border border-white/70 bg-white/80 p-4 shadow-sm">
+                <div class="flex flex-col gap-3 lg:flex-row lg:items-start lg:justify-between">
+                  <div class="min-w-0 flex-1">
+                    <div class="flex flex-wrap items-center gap-2">
+                      <h4 class="text-sm font-semibold text-slate-900">
+                        {finding.title}
+                      </h4>
+                      <span class="rounded-full bg-slate-100 px-2 py-0.5 text-xs font-medium text-slate-600">
+                        {finding.code}
+                      </span>
+                      <span class="rounded-full bg-slate-100 px-2 py-0.5 text-xs text-slate-600">
+                        {getAreaLabel(finding.area)}
+                      </span>
+                    </div>
+
+                    <p class="mt-2 text-sm leading-6 text-slate-700">
+                      {finding.message}
+                    </p>
+
+                    <div class="mt-3 flex flex-wrap gap-2 text-xs">
+                      <span class="rounded-full bg-slate-100 px-2 py-1 text-slate-600">
+                        {$t.dataset_review?.findings?.resolution_label}:
+                        {getResolutionLabel(finding.resolution_state)}
+                      </span>
+
+                      {#if finding.caused_by_ref}
+                        <span class="rounded-full bg-slate-100 px-2 py-1 text-slate-600">
+                          {$t.dataset_review?.findings?.reference_label}:
+                          {finding.caused_by_ref}
+                        </span>
+                      {/if}
+                    </div>
+
+                    {#if finding.resolution_note}
+                      <p class="mt-2 text-xs text-slate-500">{finding.resolution_note}</p>
+                    {/if}
+                  </div>
+
+                  <div class="flex shrink-0 items-center gap-2">
+                    <button
+                      type="button"
+                      class="inline-flex items-center justify-center rounded-lg border border-slate-300 px-3 py-2 text-sm font-medium text-slate-700 transition hover:bg-slate-100"
+                      onclick={() => jumpToFindingTarget(finding)}
+                    >
+                      {$t.dataset_review?.findings?.jump_action}
+                    </button>
+                  </div>
+                </div>
+              </article>
+            {/each}
+          </div>
+        {/if}
+      </section>
+
+      <section class="rounded-2xl border border-slate-200 bg-slate-50 p-4">
+        <div class="flex items-center gap-3">
+          <h3 class="text-sm font-semibold text-slate-900">
+            {$t.dataset_review?.findings?.informational_title}
+          </h3>
+          <span class="rounded-full bg-slate-200 px-2.5 py-1 text-xs font-medium text-slate-700">
+            {informationalFindings.length}
+          </span>
+        </div>
+
+        {#if informationalFindings.length === 0}
+          <p class="mt-3 text-sm text-slate-600">
+            {$t.dataset_review?.findings?.informational_empty}
+          </p>
+        {:else}
+          <div class="mt-3 space-y-3">
+            {#each informationalFindings as finding}
+              <article class="rounded-xl border border-white/70 bg-white/80 p-4 shadow-sm">
+                <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">
+                      <h4 class="text-sm font-semibold text-slate-900">
+                        {finding.title}
+                      </h4>
+                      <span class="rounded-full bg-slate-100 px-2 py-0.5 text-xs font-medium text-slate-600">
+                        {finding.code}
+                      </span>
+                      <span class="rounded-full bg-slate-100 px-2 py-0.5 text-xs text-slate-600">
+                        {getAreaLabel(finding.area)}
+                      </span>
+                    </div>
+
+                    <p class="mt-2 text-sm leading-6 text-slate-700">
+                      {finding.message}
+                    </p>
+
+                    <div class="mt-3 flex flex-wrap gap-2 text-xs">
+                      <span class="rounded-full bg-slate-100 px-2 py-1 text-slate-600">
+                        {$t.dataset_review?.findings?.resolution_label}:
+                        {getResolutionLabel(finding.resolution_state)}
+                      </span>
+
+                      {#if finding.caused_by_ref}
+                        <span class="rounded-full bg-slate-100 px-2 py-1 text-slate-600">
+                          {$t.dataset_review?.findings?.reference_label}:
+                          {finding.caused_by_ref}
+                        </span>
+                      {/if}
+                    </div>
+
+                    {#if finding.resolution_note}
+                      <p class="mt-2 text-xs text-slate-500">{finding.resolution_note}</p>
+                    {/if}
+                  </div>
+
+                  <div class="flex shrink-0 items-center 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-100"
+                      onclick={() => jumpToFindingTarget(finding)}
+                    >
+                      {$t.dataset_review?.findings?.jump_action}
+                    </button>
+                  </div>
+                </div>
+              </article>
+            {/each}
+          </div>
+        {/if}
+      </section>
+    </div>
+  {/if}
+</div>
+
+<!-- [/DEF:ValidationFindingsPanel:Component] -->

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

@@ -0,0 +1,161 @@
+/**
+ * @vitest-environment jsdom
+ */
+// [DEF:SourceIntakePanelUxTests:Module]
+// @COMPLEXITY: 3
+// @SEMANTICS: dataset-review, source-intake, ux-tests, validation, recovery
+// @PURPOSE: Verify source intake entry paths, validation feedback, and submit payload behavior for US1.
+// @LAYER: UI
+// @RELATION: [VERIFIES] ->[SourceIntakePanel]
+// @UX_STATE: Idle -> Default intake renders both entry paths and waits for user input.
+// @UX_STATE: Validating -> Inline feedback confirms recognized links and local payload validation.
+// @UX_STATE: Rejected -> Invalid source input remains local and exposes recovery guidance.
+// @TEST_CONTRACT: SourceIntakePanelProps -> ObservableIntakeUX
+// @TEST_SCENARIO: invalid_superset_link_shows_rejected_state -> Invalid URL input keeps submit local and shows rejection feedback.
+// @TEST_SCENARIO: recognized_superset_link_submits_payload -> Recognized link path submits normalized payload.
+// @TEST_SCENARIO: dataset_selection_mode_changes_cta -> Dataset selection path switches CTA and payload source kind.
+// @TEST_EDGE: missing_environment -> Required environment guard blocks submit.
+// @TEST_EDGE: invalid_type -> Invalid Superset URL shows recovery hint.
+// @TEST_EDGE: external_fail -> Submit callback failure is rendered inline.
+// @TEST_INVARIANT: intake_contract_remains_observable -> VERIFIED_BY: [invalid_superset_link_shows_rejected_state, recognized_superset_link_submits_payload, dataset_selection_mode_changes_cta]
+
+import { describe, it, expect, vi } from "vitest";
+import { fireEvent, render, screen } from "@testing-library/svelte";
+import SourceIntakePanel from "../SourceIntakePanel.svelte";
+
+vi.mock("$lib/i18n", () => ({
+  t: {
+    subscribe: (fn) => {
+      fn({
+        common: {
+          choose_environment: "Choose environment",
+          error: "Common error",
+        },
+        dataset_review: {
+          source: {
+            eyebrow: "Source intake",
+            title: "Start dataset review",
+            description: "Paste link or provide dataset reference.",
+            state_idle: "Idle",
+            state_validating: "Validating",
+            state_rejected: "Rejected",
+            environment_label: "Environment",
+            environment_required: "Environment is required",
+            superset_link_tab: "Superset link",
+            superset_link_tab_hint: "Paste dashboard or explore URL",
+            dataset_selection_tab: "Dataset selection",
+            dataset_selection_tab_hint: "Enter dataset ref",
+            superset_link_label: "Superset link",
+            dataset_selection_label: "Dataset reference",
+            superset_link_placeholder: "https://superset.local/dashboard/10",
+            dataset_selection_placeholder: "public.sales",
+            superset_link_hint: "Paste a full Superset URL",
+            dataset_selection_hint: "Provide schema.dataset reference",
+            recognized_link_hint: "Recognized Superset link",
+            superset_link_required: "Superset link is required",
+            dataset_selection_required: "Dataset reference is required",
+            superset_link_invalid: "Superset link must start with http",
+            submit_failed: "Submit failed",
+            superset_link_recovery_note: "You can fix the link inline",
+            dataset_selection_recovery_note: "You can fix the dataset inline",
+            submitting: "Submitting",
+            submit_superset_link: "Start from link",
+            submit_dataset_selection: "Start from dataset",
+            dataset_selection_acknowledged: "Dataset selection acknowledged",
+          },
+        },
+      });
+      return () => {};
+    },
+  },
+}));
+
+describe("SourceIntakePanel UX Contract", () => {
+  const environments = [{ id: "env-1", name: "DEV" }];
+
+  it("invalid_superset_link_shows_rejected_state", async () => {
+    const onsubmit = vi.fn();
+    const { container } = render(SourceIntakePanel, {
+      environments,
+      onsubmit,
+    });
+
+    await fireEvent.change(screen.getByRole("combobox"), {
+      target: { value: "env-1" },
+    });
+    await fireEvent.input(screen.getByPlaceholderText("https://superset.local/dashboard/10"), {
+      target: { value: "not-a-url" },
+    });
+    await fireEvent.submit(container.querySelector("form"));
+
+    expect(onsubmit).not.toHaveBeenCalled();
+    expect(screen.getByText("Rejected")).toBeDefined();
+    expect(screen.getByText("Superset link must start with http")).toBeDefined();
+  });
+
+  it("recognized_superset_link_submits_payload", async () => {
+    const onsubmit = vi.fn().mockResolvedValue(undefined);
+    const { container } = render(SourceIntakePanel, {
+      environments,
+      selectedEnvironmentId: "env-1",
+      acknowledgment: "Recognized Superset link",
+      onsubmit,
+    });
+
+    await fireEvent.input(screen.getByPlaceholderText("https://superset.local/dashboard/10"), {
+      target: { value: "https://demo.local/superset/dashboard/42 " },
+    });
+    await fireEvent.submit(container.querySelector("form"));
+
+    expect(onsubmit).toHaveBeenCalledWith({
+      environment_id: "env-1",
+      source_input: "https://demo.local/superset/dashboard/42",
+      source_kind: "superset_link",
+    });
+    expect(screen.getByText("Recognized Superset link")).toBeDefined();
+  });
+
+  it("dataset_selection_mode_changes_cta", async () => {
+    const onsubmit = vi.fn().mockResolvedValue(undefined);
+    const { container } = render(SourceIntakePanel, {
+      environments,
+      onsubmit,
+    });
+
+    await fireEvent.click(
+      screen.getByRole("button", {
+        name: "Dataset selection Enter dataset ref",
+      }),
+    );
+    await fireEvent.change(screen.getByRole("combobox"), {
+      target: { value: "env-1" },
+    });
+    await fireEvent.input(screen.getByPlaceholderText("public.sales"), {
+      target: { value: " public.sales " },
+    });
+    await fireEvent.submit(container.querySelector("form"));
+
+    expect(onsubmit).toHaveBeenCalledWith({
+      environment_id: "env-1",
+      source_input: "public.sales",
+      source_kind: "dataset_selection",
+    });
+  });
+
+  it("external_fail_renders_inline_error", async () => {
+    const onsubmit = vi.fn().mockRejectedValue(new Error("Backend rejected source"));
+    const { container } = render(SourceIntakePanel, {
+      environments,
+      selectedEnvironmentId: "env-1",
+      onsubmit,
+    });
+
+    await fireEvent.input(screen.getByPlaceholderText("https://superset.local/dashboard/10"), {
+      target: { value: "https://demo.local/dashboard/42" },
+    });
+    await fireEvent.submit(container.querySelector("form"));
+
+    expect(screen.getByText("Backend rejected source")).toBeDefined();
+  });
+});
+// [/DEF:SourceIntakePanelUxTests:Module]

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

@@ -0,0 +1,141 @@
+/**
+ * @vitest-environment jsdom
+ */
+// [DEF:ValidationFindingsPanelUxTests:Module]
+// @COMPLEXITY: 3
+// @SEMANTICS: dataset-review, findings, severity, jump, ux-tests
+// @PURPOSE: Verify grouped findings visibility, empty state, and remediation jump behavior for US1.
+// @LAYER: UI
+// @RELATION: [VERIFIES] ->[ValidationFindingsPanel]
+// @UX_STATE: Blocking -> Blocking findings dominate the panel and expose remediation jumps.
+// @UX_STATE: Warning -> Warning findings remain visible with explicit resolution state.
+// @UX_STATE: Informational -> Informational notes stay readable without competing with blockers.
+// @TEST_CONTRACT: FindingsPanelProps -> ObservableFindingsUX
+// @TEST_SCENARIO: blocking_warning_info_groups_render -> Findings render in the proper severity groups with counts.
+// @TEST_SCENARIO: jump_action_maps_area_to_workspace_target -> Jump action emits normalized remediation target.
+// @TEST_SCENARIO: empty_findings_show_success_state -> Empty list shows ready feedback.
+// @TEST_EDGE: missing_field -> Missing optional fields do not crash rendering.
+// @TEST_EDGE: invalid_type -> Unknown severity falls back to informational grouping.
+// @TEST_EDGE: external_fail -> Jump callback remains optional.
+// @TEST_INVARIANT: findings_groups_remain_actionable -> VERIFIED_BY: [blocking_warning_info_groups_render, jump_action_maps_area_to_workspace_target, empty_findings_show_success_state]
+
+import { describe, it, expect, vi } from "vitest";
+import { fireEvent, render, screen } from "@testing-library/svelte";
+import ValidationFindingsPanel from "../ValidationFindingsPanel.svelte";
+
+vi.mock("$lib/i18n", () => ({
+  t: {
+    subscribe: (fn) => {
+      fn({
+        dataset_review: {
+          findings: {
+            eyebrow: "Validation findings",
+            title: "Findings",
+            description: "Review validation results",
+            next_action_label: "Next action",
+            empty: "No findings",
+            blocking_title: "Blocking",
+            blocking_empty: "No blocking findings",
+            warning_title: "Warnings",
+            warning_empty: "No warning findings",
+            informational_title: "Info",
+            informational_empty: "No informational findings",
+            resolution_label: "Resolution",
+            reference_label: "Reference",
+            jump_action: "Jump to area",
+            resolution: {
+              open: "Open",
+              approved: "Approved",
+            },
+            areas: {
+              source_intake: "Source intake",
+              dataset_profile: "Dataset summary",
+              semantic_enrichment: "Semantics",
+            },
+          },
+          workspace: {
+            actions: {
+              review_documentation: "Review documentation",
+              import_from_superset: "Import from Superset",
+            },
+          },
+        },
+      });
+      return () => {};
+    },
+  },
+}));
+
+describe("ValidationFindingsPanel UX Contract", () => {
+  const findings = [
+    {
+      finding_id: "f-1",
+      severity: "blocking",
+      code: "REQ_ENV",
+      area: "source_intake",
+      title: "Environment required",
+      message: "Select environment",
+      resolution_state: "open",
+    },
+    {
+      finding_id: "f-2",
+      severity: "warning",
+      code: "PARTIAL_RECOVERY",
+      area: "dataset_profile",
+      title: "Partial recovery",
+      message: "Some metadata needs review",
+      resolution_state: "approved",
+      caused_by_ref: "dashboard:42",
+    },
+    {
+      finding_id: "f-3",
+      severity: "unexpected",
+      code: "INFO_NOTE",
+      area: "semantic_enrichment",
+      title: "Dictionary note",
+      message: "Trusted source used",
+      resolution_state: "open",
+    },
+  ];
+
+  it("blocking_warning_info_groups_render", () => {
+    render(ValidationFindingsPanel, {
+      findings,
+      recommendedAction: "review_documentation",
+    });
+
+    expect(screen.getByText("Blocking")).toBeDefined();
+    expect(screen.getByText("Warnings")).toBeDefined();
+    expect(screen.getByText("Info")).toBeDefined();
+    expect(screen.getByText("Environment required")).toBeDefined();
+    expect(screen.getByText("Partial recovery")).toBeDefined();
+    expect(screen.getByText("Dictionary note")).toBeDefined();
+    expect(screen.getByText("Review documentation")).toBeDefined();
+  });
+
+  it("jump_action_maps_area_to_workspace_target", async () => {
+    const onjump = vi.fn();
+    render(ValidationFindingsPanel, {
+      findings: [findings[0]],
+      recommendedAction: "import_from_superset",
+      onjump,
+    });
+
+    await fireEvent.click(screen.getByRole("button", { name: "Jump to area" }));
+
+    expect(onjump).toHaveBeenCalledWith({
+      target: "intake",
+      finding: findings[0],
+    });
+  });
+
+  it("empty_findings_show_success_state", () => {
+    render(ValidationFindingsPanel, {
+      findings: [],
+      recommendedAction: "review_documentation",
+    });
+
+    expect(screen.getByText("No findings")).toBeDefined();
+  });
+});
+// [/DEF:ValidationFindingsPanelUxTests:Module]

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

@@ -586,6 +586,187 @@
     "task_failed": "Failed",
     "task_waiting": "Waiting"
   },
+  "dataset_review": {
+    "source": {
+      "eyebrow": "Source intake",
+      "title": "Start dataset review",
+      "description": "Paste a Superset link or provide a dataset reference to begin a resumable review session.",
+      "state_idle": "Idle",
+      "state_validating": "Validating",
+      "state_rejected": "Rejected",
+      "environment_label": "Environment",
+      "environment_required": "Select the Superset environment before starting review.",
+      "superset_link_tab": "Superset link",
+      "superset_link_tab_hint": "Import dashboard or explore context and recover filters progressively.",
+      "dataset_selection_tab": "Dataset selection",
+      "dataset_selection_tab_hint": "Start from a known dataset reference when you already know the target.",
+      "superset_link_label": "Superset URL",
+      "superset_link_placeholder": "https://superset.example.com/superset/dashboard/42/?native_filters=...",
+      "superset_link_hint": "Recognized Superset links create a session immediately, then continue partial recovery in place.",
+      "superset_link_required": "Paste a Superset link to continue.",
+      "superset_link_invalid": "Enter a full Superset URL starting with http:// or https://.",
+      "superset_link_recovery_note": "Partial recovery stays visible. Missing filters or unresolved context are disclosed instead of hidden.",
+      "recognized_link_hint": "Superset link recognized. Session recovery will continue after the shell is created.",
+      "dataset_selection_label": "Dataset reference",
+      "dataset_selection_placeholder": "dataset_id:123 or sales.daily_revenue",
+      "dataset_selection_hint": "Use a dataset id or stable dataset reference from the selected environment.",
+      "dataset_selection_required": "Enter a dataset reference to continue.",
+      "dataset_selection_recovery_note": "Dataset-based intake still surfaces confidence and unresolved context explicitly.",
+      "dataset_selection_acknowledged": "Dataset reference accepted. Loading the resumable review shell.",
+      "submit_superset_link": "Start from link",
+      "submit_dataset_selection": "Start from dataset",
+      "submitting": "Starting review...",
+      "submit_failed": "Unable to start the dataset review session."
+    },
+    "findings": {
+      "eyebrow": "Validation findings",
+      "title": "Review blockers, warnings, and informational notes",
+      "description": "Findings stay grouped by severity so the highest-risk issues remain visible while partial recovery stays usable.",
+      "next_action_label": "Recommended next step",
+      "empty": "No findings recorded yet. The session can continue with the current recovered context.",
+      "blocking_title": "Blocking",
+      "blocking_empty": "No blocking findings are currently open.",
+      "warning_title": "Warnings",
+      "warning_empty": "No warning-level findings need attention right now.",
+      "informational_title": "Informational",
+      "informational_empty": "No informational findings are currently recorded.",
+      "resolution_label": "Resolution",
+      "reference_label": "Reference",
+      "jump_action": "Open related area",
+      "resolution": {
+        "open": "Open",
+        "resolved": "Resolved",
+        "approved": "Approved",
+        "skipped": "Skipped",
+        "deferred": "Deferred",
+        "expert_review": "Expert review"
+      },
+      "areas": {
+        "source_intake": "Source intake",
+        "dataset_profile": "Dataset profile",
+        "semantic_enrichment": "Semantic enrichment",
+        "clarification": "Clarification",
+        "filter_recovery": "Filter recovery",
+        "template_mapping": "Template mapping",
+        "compiled_preview": "Compiled preview",
+        "launch": "Launch",
+        "audit": "Audit"
+      }
+    },
+    "workspace": {
+      "eyebrow": "Dataset orchestration",
+      "title": "Dataset review workspace",
+      "description": "Resume a prior session or inspect recovered context, findings, provenance, and exports in one place.",
+      "loading": "Loading review workspace...",
+      "load_failed": "Failed to load the dataset review session.",
+      "resume_failed": "Failed to resume the current review session.",
+      "save_failed": "Failed to update the review session.",
+      "export_failed": "Failed to export the requested review artifact.",
+      "empty_state_title": "No session loaded",
+      "state_label": "Workspace",
+      "readiness_label": "Readiness",
+      "source_badge_fallback": "review session",
+      "save_session_action": "Save session",
+      "export_summary_action": "Export summary",
+      "save_summary_action": "Save summary",
+      "summary_edit_saved": "Summary draft updated for the current review workspace.",
+      "import_progress_eyebrow": "Import progress",
+      "import_progress_title": "Recovering dataset context progressively",
+      "import_progress_body": "The workspace reveals milestones as source, filters, variables, and semantic candidates become available.",
+      "import_milestones": {
+        "recognized": "Dataset recognized",
+        "filters": "Saved native filters recovered",
+        "variables": "Dataset template variables detected",
+        "semantic_sources": "Nearby semantic sources identified",
+        "summary": "Preliminary summary prepared"
+      },
+      "source_session_title": "Source & session",
+      "source_label": "Dataset source",
+      "import_status_title": "Superset import status",
+      "recent_actions_title": "Recent actions timeline",
+      "timeline": {
+        "source": "Source accepted",
+        "status": "Session state updated",
+        "filters": "Recovered filters",
+        "findings": "Validation findings recorded",
+        "exports": "Latest export generated"
+      },
+      "next_action_label": "Next action",
+      "next_action_card_eyebrow": "Primary action",
+      "next_action_card_body": "The main action always reflects the highest-value next step for the current session state.",
+      "session_label": "Session summary",
+      "session_id_label": "Session ID",
+      "summary_source_label": "Summary source",
+      "confidence_label": "Confidence",
+      "business_summary_title": "Business summary",
+      "summary_missing": "No readable business summary is available yet.",
+      "partial_recovery_badge": "Partial recovery",
+      "phase_label": "Phase",
+      "status_label": "Status",
+      "active_task_label": "Active task",
+      "recovery_title": "Recovered filters and provenance",
+      "recovery_empty": "No imported filters have been recovered yet.",
+      "provenance_label": "Provenance",
+      "recovered_value_label": "Recovered value",
+      "health_title": "Findings overview",
+      "open_findings_label": "Open findings",
+      "exports_title": "Exports",
+      "exports_description": "Generate inline documentation and validation artifacts from the current reviewed state.",
+      "export_documentation_json": "Export documentation (JSON)",
+      "export_documentation_markdown": "Export documentation (Markdown)",
+      "export_validation_json": "Export validation (JSON)",
+      "export_validation_markdown": "Export validation (Markdown)",
+      "preview_title": "Preview status",
+      "preview_status_label": "Status",
+      "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",
+      "resume_action": "Resume session",
+      "pause_action": "Pause session",
+      "actions": {
+        "import_from_superset": "Import from Superset",
+        "review_documentation": "Review documentation",
+        "apply_semantic_source": "Apply semantic source",
+        "start_clarification": "Start clarification",
+        "answer_next_question": "Answer next question",
+        "approve_mapping": "Approve mapping",
+        "generate_sql_preview": "Generate SQL preview",
+        "complete_required_values": "Complete required values",
+        "launch_dataset": "Launch dataset",
+        "resume_session": "Resume session",
+        "export_outputs": "Export outputs"
+      },
+      "readiness": {
+        "empty": "Empty",
+        "importing": "Importing",
+        "review_ready": "Review ready",
+        "semantic_source_review_needed": "Semantic source review needed",
+        "clarification_needed": "Clarification needed",
+        "clarification_active": "Clarification active",
+        "mapping_review_needed": "Mapping review needed",
+        "compiled_preview_ready": "Compiled preview ready",
+        "partially_ready": "Partially ready",
+        "run_ready": "Run ready",
+        "run_in_progress": "Run in progress",
+        "completed": "Completed",
+        "recovery_required": "Recovery required"
+      },
+      "summary_sources": {
+        "confirmed": "Confirmed",
+        "imported": "Imported",
+        "inferred": "Inferred",
+        "ai_draft": "AI draft",
+        "manual_override": "Manual override"
+      },
+      "confidence": {
+        "confirmed": "Confirmed",
+        "mostly_confirmed": "Mostly confirmed",
+        "mixed": "Mixed",
+        "low_confidence": "Low confidence",
+        "unresolved": "Unresolved"
+      }
+    }
+  },
   "tasks": {
     "management": "Task Management",
     "run_backup": "Run Backup",

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

@@ -584,6 +584,187 @@
     "task_failed": "Ошибка",
     "task_waiting": "Ожидание"
   },
+  "dataset_review": {
+    "source": {
+      "eyebrow": "Источник",
+      "title": "Запуск review датасета",
+      "description": "Вставьте ссылку Superset или укажите ссылку на датасет, чтобы начать возобновляемую review-сессию.",
+      "state_idle": "Ожидание",
+      "state_validating": "Проверка",
+      "state_rejected": "Отклонено",
+      "environment_label": "Окружение",
+      "environment_required": "Перед запуском review выберите окружение Superset.",
+      "superset_link_tab": "Ссылка Superset",
+      "superset_link_tab_hint": "Импортирует контекст dashboard/explore и поэтапно восстанавливает фильтры.",
+      "dataset_selection_tab": "Выбор датасета",
+      "dataset_selection_tab_hint": "Используйте известную ссылку на датасет, если цель уже определена.",
+      "superset_link_label": "URL Superset",
+      "superset_link_placeholder": "https://superset.example.com/superset/dashboard/42/?native_filters=...",
+      "superset_link_hint": "Распознанная ссылка Superset сразу создает сессию, а затем продолжает частичное восстановление в фоне.",
+      "superset_link_required": "Вставьте ссылку Superset, чтобы продолжить.",
+      "superset_link_invalid": "Введите полный URL Superset, начинающийся с http:// или https://.",
+      "superset_link_recovery_note": "Частичное восстановление остается видимым. Отсутствующие фильтры и неразрешенный контекст явно показываются.",
+      "recognized_link_hint": "Ссылка Superset распознана. Восстановление продолжится после создания оболочки сессии.",
+      "dataset_selection_label": "Ссылка на датасет",
+      "dataset_selection_placeholder": "dataset_id:123 или sales.daily_revenue",
+      "dataset_selection_hint": "Используйте id датасета или стабильную ссылку на датасет из выбранного окружения.",
+      "dataset_selection_required": "Введите ссылку на датасет, чтобы продолжить.",
+      "dataset_selection_recovery_note": "Для intake по датасету также явно показываются confidence и неразрешенный контекст.",
+      "dataset_selection_acknowledged": "Ссылка на датасет принята. Загружается возобновляемая review-оболочка.",
+      "submit_superset_link": "Старт по ссылке",
+      "submit_dataset_selection": "Старт по датасету",
+      "submitting": "Запуск review...",
+      "submit_failed": "Не удалось запустить review-сессию датасета."
+    },
+    "findings": {
+      "eyebrow": "Результаты валидации",
+      "title": "Проверьте блокеры, предупреждения и информационные заметки",
+      "description": "Результаты сгруппированы по severity, чтобы самые важные риски оставались видимыми, а частичное восстановление оставалось пригодным к использованию.",
+      "next_action_label": "Рекомендованный следующий шаг",
+      "empty": "Результаты пока не записаны. Сессию можно продолжать с текущим восстановленным контекстом.",
+      "blocking_title": "Блокеры",
+      "blocking_empty": "Открытых блокирующих результатов сейчас нет.",
+      "warning_title": "Предупреждения",
+      "warning_empty": "Сейчас нет warning-результатов, требующих внимания.",
+      "informational_title": "Информационные",
+      "informational_empty": "Информационные результаты сейчас отсутствуют.",
+      "resolution_label": "Статус",
+      "reference_label": "Ссылка",
+      "jump_action": "Открыть связанный раздел",
+      "resolution": {
+        "open": "Открыто",
+        "resolved": "Решено",
+        "approved": "Подтверждено",
+        "skipped": "Пропущено",
+        "deferred": "Отложено",
+        "expert_review": "Экспертная проверка"
+      },
+      "areas": {
+        "source_intake": "Источник",
+        "dataset_profile": "Профиль датасета",
+        "semantic_enrichment": "Семантическое обогащение",
+        "clarification": "Уточнение",
+        "filter_recovery": "Восстановление фильтров",
+        "template_mapping": "Маппинг шаблонов",
+        "compiled_preview": "Скомпилированный preview",
+        "launch": "Запуск",
+        "audit": "Аудит"
+      }
+    },
+    "workspace": {
+      "eyebrow": "Оркестрация датасета",
+      "title": "Workspace review датасета",
+      "description": "Возобновляйте предыдущую сессию или просматривайте восстановленный контекст, findings, provenance и exports в одном месте.",
+      "loading": "Загрузка review workspace...",
+      "load_failed": "Не удалось загрузить review-сессию датасета.",
+      "resume_failed": "Не удалось возобновить текущую review-сессию.",
+      "save_failed": "Не удалось обновить review-сессию.",
+      "export_failed": "Не удалось экспортировать выбранный артефакт review.",
+      "empty_state_title": "Сессия не загружена",
+      "state_label": "Workspace",
+      "readiness_label": "Готовность",
+      "source_badge_fallback": "review-сессия",
+      "save_session_action": "Сохранить сессию",
+      "export_summary_action": "Экспортировать summary",
+      "save_summary_action": "Сохранить summary",
+      "summary_edit_saved": "Черновик summary обновлен для текущего review workspace.",
+      "import_progress_eyebrow": "Прогресс импорта",
+      "import_progress_title": "Контекст датасета восстанавливается поэтапно",
+      "import_progress_body": "Workspace последовательно показывает этапы распознавания источника, фильтров, переменных и семантических кандидатов.",
+      "import_milestones": {
+        "recognized": "Датасет распознан",
+        "filters": "Сохраненные native filters восстановлены",
+        "variables": "Переменные шаблона датасета обнаружены",
+        "semantic_sources": "Найдены ближайшие семантические источники",
+        "summary": "Подготовлено предварительное summary"
+      },
+      "source_session_title": "Источник и сессия",
+      "source_label": "Источник датасета",
+      "import_status_title": "Статус импорта Superset",
+      "recent_actions_title": "Таймлайн последних действий",
+      "timeline": {
+        "source": "Источник принят",
+        "status": "Состояние сессии обновлено",
+        "filters": "Фильтры восстановлены",
+        "findings": "Findings записаны",
+        "exports": "Последний экспорт создан"
+      },
+      "next_action_label": "Следующее действие",
+      "next_action_card_eyebrow": "Основное действие",
+      "next_action_card_body": "Основное действие всегда соответствует самому ценному следующему шагу для текущего состояния сессии.",
+      "session_label": "Сводка сессии",
+      "session_id_label": "ID сессии",
+      "summary_source_label": "Источник summary",
+      "confidence_label": "Уверенность",
+      "business_summary_title": "Бизнес-summary",
+      "summary_missing": "Читаемое бизнес-summary пока недоступно.",
+      "partial_recovery_badge": "Частичное восстановление",
+      "phase_label": "Фаза",
+      "status_label": "Статус",
+      "active_task_label": "Активная задача",
+      "recovery_title": "Восстановленные фильтры и provenance",
+      "recovery_empty": "Импортированные фильтры пока не восстановлены.",
+      "provenance_label": "Provenance",
+      "recovered_value_label": "Восстановленное значение",
+      "health_title": "Обзор findings",
+      "open_findings_label": "Открытые findings",
+      "exports_title": "Экспорт",
+      "exports_description": "Генерируйте inline-артефакты документации и валидации из текущего review-состояния.",
+      "export_documentation_json": "Экспорт документации (JSON)",
+      "export_documentation_markdown": "Экспорт документации (Markdown)",
+      "export_validation_json": "Экспорт валидации (JSON)",
+      "export_validation_markdown": "Экспорт валидации (Markdown)",
+      "preview_title": "Статус preview",
+      "preview_status_label": "Статус",
+      "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",
+      "resume_action": "Возобновить сессию",
+      "pause_action": "Поставить сессию на паузу",
+      "actions": {
+        "import_from_superset": "Импорт из Superset",
+        "review_documentation": "Проверить документацию",
+        "apply_semantic_source": "Применить семантический источник",
+        "start_clarification": "Начать уточнение",
+        "answer_next_question": "Ответить на следующий вопрос",
+        "approve_mapping": "Подтвердить маппинг",
+        "generate_sql_preview": "Сгенерировать SQL preview",
+        "complete_required_values": "Заполнить обязательные значения",
+        "launch_dataset": "Запустить датасет",
+        "resume_session": "Возобновить сессию",
+        "export_outputs": "Экспортировать результаты"
+      },
+      "readiness": {
+        "empty": "Пусто",
+        "importing": "Импорт",
+        "review_ready": "Готово к review",
+        "semantic_source_review_needed": "Нужен review источника семантики",
+        "clarification_needed": "Нужно уточнение",
+        "clarification_active": "Уточнение активно",
+        "mapping_review_needed": "Нужен review маппинга",
+        "compiled_preview_ready": "Скомпилированный preview готов",
+        "partially_ready": "Частично готово",
+        "run_ready": "Готово к запуску",
+        "run_in_progress": "Запуск выполняется",
+        "completed": "Завершено",
+        "recovery_required": "Требуется восстановление"
+      },
+      "summary_sources": {
+        "confirmed": "Подтверждено",
+        "imported": "Импортировано",
+        "inferred": "Выведено",
+        "ai_draft": "Черновик AI",
+        "manual_override": "Ручное переопределение"
+      },
+      "confidence": {
+        "confirmed": "Подтверждено",
+        "mostly_confirmed": "Почти подтверждено",
+        "mixed": "Смешанное",
+        "low_confidence": "Низкая уверенность",
+        "unresolved": "Не разрешено"
+      }
+    }
+  },
   "tasks": {
     "management": "Управление задачами",
     "run_backup": "Запустить бэкап",

frontend/src/lib/stores/__tests__/mocks/state.js

@@ -0,0 +1,16 @@
+// [DEF:state_mock:Module]
+// @COMPLEXITY: 2
+// @PURPOSE: Mock for $app/state in vitest route/component tests.
+// @LAYER: UI Tests
+
+export const page = {
+  params: {},
+  route: { id: "test" },
+  url: new URL("http://localhost"),
+  status: 200,
+  error: null,
+  data: {},
+  form: null,
+};
+
+// [/DEF:state_mock:Module]

frontend/src/lib/stores/__tests__/test_datasetReviewSession.js

@@ -1,9 +1,10 @@
-// [DEF:frontend.src.lib.stores.__tests__.test_datasetReviewSession:Module]
+// [DEF:DatasetReviewSessionStoreTests:Module]
 // @COMPLEXITY: 3
 // @SEMANTICS: dataset-review, store, session, tests
-// @PURPOSE: Unit tests for dataset review session store
+// @PURPOSE: Unit tests for dataset review session store.
 // @LAYER: UI
 // @RELATION: VERIFIES -> [datasetReviewSession:Store]
+// @UX_STATE: Idle -> Store helpers are exercised without asynchronous UI transitions.
 
 import { describe, it, expect, beforeEach, vi } from 'vitest';
 
@@ -109,4 +110,4 @@ describe('datasetReviewSession store', () => {
   });
 });
 
-// [/DEF:frontend.src.lib.stores.__tests__.test_datasetReviewSession:Module]
+// [/DEF:DatasetReviewSessionStoreTests:Module]

frontend/src/lib/stores/datasetReviewSession.js

@@ -1,8 +1,12 @@
 // [DEF:datasetReviewSession:Store]
 // @COMPLEXITY: 4
-// @PURPOSE: Manage active dataset review session state, including loading, updates, and navigation guards.
+// @PURPOSE: Manage active dataset review session state, including loading, local edits, error capture, and reset semantics for the active review workspace.
 // @LAYER: UI
-// @RELATION: DEPENDS_ON -> api_module (requestApi/fetchApi)
+// @RELATION: DEPENDS_ON -> [api_module]
+// @PRE: Consumers provide session-shaped payloads when setting or patching state and initialize the store before reading derived session fields.
+// @POST: Store transitions keep session, loading, error, and dirty flags internally consistent after each helper call.
+// @SIDE_EFFECT: Mutates the writable dataset review session store in frontend memory.
+// @DATA_CONTRACT: Input[SessionDetail | Partial<SessionDetail> | boolean | string | null] -> Output[DatasetReviewSessionStoreState]
 //
 // @UX_STATE: Loading -> Session detail is being fetched.
 // @UX_STATE: Ready -> Session detail is available for UI binding.

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

@@ -0,0 +1,896 @@
+<!-- [DEF:DatasetReviewWorkspace:Component] -->
+<!-- @COMPLEXITY: 5 -->
+<!-- @SEMANTICS: dataset-review, workspace, session-resume, intake, findings, exports -->
+<!-- @PURPOSE: Main dataset review workspace coordinating session state, progressive recovery, semantic review, clarification, preview, and launch UX. -->
+<!-- @LAYER: UI -->
+<!-- @RELATION: [BINDS_TO] ->[api_module] -->
+<!-- @RELATION: [BINDS_TO] ->[assistantChat] -->
+<!-- @RELATION: [BINDS_TO] ->[taskDrawer] -->
+<!-- @PRE: Review route has either a resumable session id or receives new intake input from the workspace form. -->
+<!-- @POST: Session detail is loaded or created, highest-value next action is visible, and partial recovery remains readable and usable. -->
+<!-- @SIDE_EFFECT: Reads and mutates ownership-scoped review session state through dataset orchestration APIs and may navigate to a newly created session route. -->
+<!-- @DATA_CONTRACT: Input[route:id|StartSessionRequest] -> Output[SessionDetail|null] -->
+<!-- @INVARIANT: Navigation away from dirty session state must require explicit confirmation. -->
+<!-- @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_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. -->
+<script>
+  import { goto } from "$app/navigation";
+  import { page } from "$app/state";
+  import { t } from "$lib/i18n";
+  import { api } from "$lib/api.js";
+  import SourceIntakePanel from "$lib/components/dataset-review/SourceIntakePanel.svelte";
+  import ValidationFindingsPanel from "$lib/components/dataset-review/ValidationFindingsPanel.svelte";
+  import {
+    setError,
+    setLoading,
+    setSession,
+    resetSession,
+  } from "$lib/stores/datasetReviewSession.js";
+  import {
+    environmentContextStore,
+    initializeEnvironmentContext,
+  } from "$lib/stores/environmentContext.js";
+  import { fromStore } from "svelte/store";
+
+  const environmentContextState = fromStore(environmentContextStore);
+
+  let session = $state(null);
+  let loadError = $state("");
+  let submitError = $state("");
+  let exportMessage = $state("");
+  let summaryFeedback = $state("");
+  let isBootstrapping = $state(true);
+  let isSubmitting = $state(false);
+  let isExporting = $state(false);
+  let isEditingSummary = $state(false);
+  let summaryDraft = $state("");
+  let jumpTarget = $state("");
+  let intakeAcknowledgment = $state("");
+
+  const routeSessionId = $derived(page.params.id || "");
+  const environments = $derived(environmentContextState.current?.environments || []);
+  const selectedEnvironmentId = $derived(
+    session?.environment_id ||
+      environmentContextState.current?.selectedEnvId ||
+      "",
+  );
+  const currentWorkspaceState = $derived(
+    !session
+      ? (isSubmitting ? "Importing" : "Empty")
+      : session.readiness_state === "importing"
+        ? "Importing"
+        : "Review",
+  );
+  const profile = $derived(session?.profile || null);
+  const findings = $derived(session?.findings || []);
+  const importedFilters = $derived(session?.imported_filters || []);
+  const latestPreview = $derived(
+    session?.previews?.length ? session.previews[session.previews.length - 1] : null,
+  );
+  const exportDisabled = $derived(!session || isExporting);
+  const saveDisabled = $derived(!session || isSubmitting);
+  const blockingCount = $derived(
+    findings.filter((finding) => finding.severity === "blocking").length,
+  );
+  const warningCount = $derived(
+    findings.filter((finding) => finding.severity === "warning").length,
+  );
+  const infoCount = $derived(
+    findings.filter((finding) => finding.severity === "informational").length,
+  );
+  const openFindingsCount = $derived(findings.length);
+  const nextActionLabel = $derived(getRecommendedActionLabel(session?.recommended_action));
+  const readinessLabel = $derived(
+    $t.dataset_review?.workspace?.readiness?.[session?.readiness_state || "empty"] ||
+      session?.readiness_state ||
+      $t.dataset_review?.workspace?.empty_state_title,
+  );
+  const summarySourceLabel = $derived(
+    $t.dataset_review?.workspace?.summary_sources?.[
+      profile?.business_summary_source || "ai_draft"
+    ] || profile?.business_summary_source || "",
+  );
+  const confidenceLabel = $derived(
+    $t.dataset_review?.workspace?.confidence?.[profile?.confidence_state || "unresolved"] ||
+      profile?.confidence_state ||
+      "",
+  );
+  const importMilestones = $derived(buildImportMilestones());
+  const recentActions = $derived(buildRecentActions());
+
+  function getRecommendedActionLabel(action) {
+    const normalized = String(action || "import_from_superset");
+    return $t.dataset_review?.workspace?.actions?.[normalized] || normalized;
+  }
+
+  function buildImportMilestones() {
+    const recognizedDone = Boolean(intakeAcknowledgment || session?.dataset_ref);
+    const filtersDone = importedFilters.length > 0;
+    const variablesDone = Boolean(importedFilters.length || latestPreview);
+    const semanticsDone = Boolean(profile?.business_summary || findings.length > 0);
+    const importState = currentWorkspaceState === "Importing";
+
+    return [
+      {
+        key: "recognized",
+        label: $t.dataset_review?.workspace?.import_milestones?.recognized,
+        state: recognizedDone ? "done" : importState ? "active" : "pending",
+      },
+      {
+        key: "filters",
+        label: $t.dataset_review?.workspace?.import_milestones?.filters,
+        state: filtersDone ? "done" : importState ? "active" : "pending",
+      },
+      {
+        key: "variables",
+        label: $t.dataset_review?.workspace?.import_milestones?.variables,
+        state: variablesDone ? "done" : importState ? "active" : "pending",
+      },
+      {
+        key: "semantic_sources",
+        label: $t.dataset_review?.workspace?.import_milestones?.semantic_sources,
+        state: semanticsDone ? "done" : importState ? "active" : "pending",
+      },
+      {
+        key: "summary",
+        label: $t.dataset_review?.workspace?.import_milestones?.summary,
+        state: semanticsDone ? "done" : importState ? "active" : "pending",
+      },
+    ];
+  }
+
+  function buildRecentActions() {
+    if (!session) {
+      return [];
+    }
+
+    const actions = [
+      {
+        key: "source",
+        title: $t.dataset_review?.workspace?.timeline?.source,
+        detail: session.source_input || session.dataset_ref || "—",
+      },
+      {
+        key: "status",
+        title: $t.dataset_review?.workspace?.timeline?.status,
+        detail: `${session.status} • ${readinessLabel}`,
+      },
+    ];
+
+    if (importedFilters.length > 0) {
+      actions.push({
+        key: "filters",
+        title: $t.dataset_review?.workspace?.timeline?.filters,
+        detail: `${importedFilters.length}`,
+      });
+    }
+
+    if (findings.length > 0) {
+      actions.push({
+        key: "findings",
+        title: $t.dataset_review?.workspace?.timeline?.findings,
+        detail: `${findings.length}`,
+      });
+    }
+
+    if (exportMessage) {
+      actions.push({
+        key: "exports",
+        title: $t.dataset_review?.workspace?.timeline?.exports,
+        detail: exportMessage,
+      });
+    }
+
+    return actions;
+  }
+
+  function buildSessionUrl(sessionId) {
+    return `/datasets/review/${encodeURIComponent(String(sessionId))}`;
+  }
+
+  async function loadSessionDetail(sessionId) {
+    if (!sessionId) {
+      session = null;
+      loadError = "";
+      summaryDraft = "";
+      resetSession();
+      return;
+    }
+
+    setLoading(true);
+    loadError = "";
+    submitError = "";
+
+    try {
+      const detail = await api.fetchApi(`/dataset-orchestration/sessions/${sessionId}`);
+      session = detail;
+      summaryDraft = detail?.profile?.business_summary || "";
+      setSession(detail);
+    } catch (error) {
+      loadError =
+        error?.message ||
+        $t.dataset_review?.workspace?.load_failed ||
+        $t.common?.error;
+      setError(loadError);
+    } finally {
+      setLoading(false);
+    }
+  }
+
+  async function bootstrapWorkspace() {
+    isBootstrapping = true;
+    await initializeEnvironmentContext();
+    await loadSessionDetail(routeSessionId);
+    isBootstrapping = false;
+  }
+
+  async function handleSourceSubmit(payload) {
+    isSubmitting = true;
+    submitError = "";
+    exportMessage = "";
+    summaryFeedback = "";
+    loadError = "";
+    intakeAcknowledgment =
+      payload.source_kind === "superset_link"
+        ? $t.dataset_review?.source?.recognized_link_hint
+        : $t.dataset_review?.source?.dataset_selection_acknowledged;
+
+    try {
+      const summary = await api.postApi("/dataset-orchestration/sessions", payload);
+      await goto(buildSessionUrl(summary.session_id));
+      await loadSessionDetail(summary.session_id);
+    } catch (error) {
+      submitError =
+        error?.message ||
+        $t.dataset_review?.source?.submit_failed ||
+        $t.common?.error;
+      throw error;
+    } finally {
+      isSubmitting = false;
+    }
+  }
+
+  async function handleResumeSession() {
+    if (!session?.session_id) {
+      return;
+    }
+
+    try {
+      const updated = await api.requestApi(
+        `/dataset-orchestration/sessions/${session.session_id}`,
+        "PATCH",
+        { status: "active" },
+      );
+      await goto(buildSessionUrl(updated.session_id));
+      await loadSessionDetail(updated.session_id);
+    } catch (error) {
+      loadError =
+        error?.message ||
+        $t.dataset_review?.workspace?.resume_failed ||
+        $t.common?.error;
+    }
+  }
+
+  async function updateSessionLifecycle(statusValue) {
+    if (!session?.session_id) {
+      return;
+    }
+
+    try {
+      await api.requestApi(
+        `/dataset-orchestration/sessions/${session.session_id}`,
+        "PATCH",
+        { status: statusValue },
+      );
+      await loadSessionDetail(session.session_id);
+    } catch (error) {
+      loadError =
+        error?.message ||
+        $t.dataset_review?.workspace?.save_failed ||
+        $t.common?.error;
+    }
+  }
+
+  async function exportArtifact(kind, format) {
+    if (!session?.session_id) {
+      return;
+    }
+
+    isExporting = true;
+    exportMessage = "";
+
+    try {
+      const artifact = await api.fetchApi(
+        `/dataset-orchestration/sessions/${session.session_id}/exports/${kind}?format=${format}`,
+      );
+      exportMessage = `${artifact.artifact_type} • ${artifact.format} • ${artifact.storage_ref}`;
+    } catch (error) {
+      exportMessage =
+        error?.message ||
+        $t.dataset_review?.workspace?.export_failed ||
+        $t.common?.error;
+    } finally {
+      isExporting = false;
+    }
+  }
+
+  function handleFindingJump(event) {
+    jumpTarget = event?.target || "summary";
+  }
+
+  function startSummaryEdit() {
+    summaryDraft = profile?.business_summary || "";
+    summaryFeedback = "";
+    isEditingSummary = true;
+  }
+
+  function cancelSummaryEdit() {
+    summaryDraft = profile?.business_summary || "";
+    summaryFeedback = "";
+    isEditingSummary = false;
+  }
+
+  function saveSummaryDraft() {
+    summaryFeedback = $t.dataset_review?.workspace?.summary_edit_saved;
+    isEditingSummary = false;
+  }
+
+  function primaryActionHandler() {
+    if (!session) {
+      return;
+    }
+
+    if (session.recommended_action === "resume_session") {
+      void handleResumeSession();
+      return;
+    }
+
+    if (session.status === "active") {
+      void updateSessionLifecycle("paused");
+    }
+  }
+
+  bootstrapWorkspace();
+</script>
+
+<div class="mx-auto w-full max-w-7xl space-y-5 px-4 py-6">
+  <div class="flex flex-col gap-3 lg:flex-row lg:items-start lg:justify-between">
+    <div>
+      <p class="text-xs font-semibold uppercase tracking-[0.2em] text-blue-700">
+        {$t.dataset_review?.workspace?.eyebrow}
+      </p>
+      <h1 class="text-2xl font-bold text-slate-900">
+        {$t.dataset_review?.workspace?.title}
+      </h1>
+      <p class="mt-1 max-w-3xl text-sm text-slate-600">
+        {$t.dataset_review?.workspace?.description}
+      </p>
+    </div>
+
+    <div class="flex flex-wrap items-center gap-2">
+      {#if session}
+        <span class="rounded-full bg-slate-100 px-3 py-1 text-xs font-medium text-slate-700">
+          {session.source_kind || $t.dataset_review?.workspace?.source_badge_fallback}
+        </span>
+        <span class="rounded-full bg-slate-100 px-3 py-1 text-xs font-medium text-slate-700">
+          {profile?.dataset_name || session.dataset_ref}
+        </span>
+      {/if}
+      <span class="rounded-full bg-slate-100 px-3 py-1 text-xs font-medium text-slate-700">
+        {$t.dataset_review?.workspace?.state_label}: {currentWorkspaceState}
+      </span>
+      {#if session}
+        <span class="rounded-full bg-blue-50 px-3 py-1 text-xs font-medium text-blue-700">
+          {$t.dataset_review?.workspace?.readiness_label}: {readinessLabel}
+        </span>
+        <button
+          type="button"
+          class="inline-flex items-center justify-center rounded-xl border border-slate-300 bg-white px-4 py-2 text-sm font-medium text-slate-700 transition hover:bg-slate-50 disabled:cursor-not-allowed disabled:opacity-50"
+          onclick={() => updateSessionLifecycle("paused")}
+          disabled={saveDisabled}
+        >
+          {$t.dataset_review?.workspace?.save_session_action}
+        </button>
+        <button
+          type="button"
+          class="inline-flex items-center justify-center rounded-xl border border-slate-300 bg-white px-4 py-2 text-sm font-medium text-slate-700 transition hover:bg-slate-50 disabled:cursor-not-allowed disabled:opacity-50"
+          onclick={() => exportArtifact("documentation", "markdown")}
+          disabled={exportDisabled}
+        >
+          {$t.dataset_review?.workspace?.export_summary_action}
+        </button>
+      {/if}
+    </div>
+  </div>
+
+  {#if isBootstrapping}
+    <div class="rounded-2xl border border-slate-200 bg-white p-6 text-sm text-slate-500 shadow-sm">
+      {$t.dataset_review?.workspace?.loading}
+    </div>
+  {:else}
+    {#if loadError}
+      <div class="rounded-2xl border border-red-200 bg-red-50 px-4 py-4 text-sm text-red-700">
+        {loadError}
+      </div>
+    {/if}
+
+    {#if !session}
+      <SourceIntakePanel
+        environments={environments}
+        selectedEnvironmentId={selectedEnvironmentId}
+        submitting={isSubmitting}
+        acknowledgment={intakeAcknowledgment}
+        onsubmit={handleSourceSubmit}
+      />
+
+      {#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>
+              <p class="text-xs font-semibold uppercase tracking-wide text-blue-700">
+                {$t.dataset_review?.workspace?.import_progress_eyebrow}
+              </p>
+              <h2 class="mt-1 text-lg font-semibold text-slate-900">
+                {$t.dataset_review?.workspace?.import_progress_title}
+              </h2>
+              <p class="mt-1 text-sm text-slate-700">
+                {$t.dataset_review?.workspace?.import_progress_body}
+              </p>
+            </div>
+            <span class="rounded-full bg-white px-3 py-1 text-xs font-medium text-blue-700">
+              {currentWorkspaceState}
+            </span>
+          </div>
+
+          <ol class="mt-4 grid gap-3 md:grid-cols-2">
+            {#each importMilestones as milestone}
+              <li class="rounded-xl border border-white/70 bg-white/80 p-3">
+                <div class="flex items-center gap-2">
+                  <span class={`inline-flex h-2.5 w-2.5 rounded-full ${
+                    milestone.state === "done"
+                      ? "bg-emerald-500"
+                      : milestone.state === "active"
+                        ? "bg-blue-500"
+                        : "bg-slate-300"
+                  }`}></span>
+                  <span class="text-sm font-medium text-slate-900">{milestone.label}</span>
+                </div>
+              </li>
+            {/each}
+          </ol>
+        </section>
+      {/if}
+
+      {#if submitError}
+        <div class="rounded-2xl border border-red-200 bg-red-50 px-4 py-4 text-sm text-red-700">
+          {submitError}
+        </div>
+      {/if}
+    {:else}
+      <div class="grid gap-5 xl:grid-cols-[minmax(18rem,0.8fr)_minmax(0,1.4fr)_minmax(18rem,0.9fr)]">
+        <div class="space-y-5">
+          <section
+            id="intake"
+            class="rounded-2xl border border-slate-200 bg-white p-5 shadow-sm"
+          >
+            <p class="text-xs font-semibold uppercase tracking-wide text-slate-500">
+              {$t.dataset_review?.workspace?.source_session_title}
+            </p>
+
+            <div class="mt-3 rounded-xl border border-slate-200 bg-slate-50 p-4">
+              <div class="text-xs uppercase tracking-wide text-slate-500">
+                {$t.dataset_review?.workspace?.source_label}
+              </div>
+              <div class="mt-1 text-sm font-medium text-slate-900">
+                {session.source_input || session.dataset_ref}
+              </div>
+            </div>
+
+            <div class="mt-3 rounded-xl border border-slate-200 bg-slate-50 p-4">
+              <div class="flex items-center justify-between gap-2">
+                <div>
+                  <div class="text-xs uppercase tracking-wide text-slate-500">
+                    {$t.dataset_review?.workspace?.import_status_title}
+                  </div>
+                  <div class="mt-1 text-sm font-medium text-slate-900">
+                    {currentWorkspaceState}
+                  </div>
+                </div>
+                <span class="rounded-full bg-white px-2.5 py-1 text-xs font-medium text-slate-700">
+                  {readinessLabel}
+                </span>
+              </div>
+
+              <ol class="mt-4 space-y-2">
+                {#each importMilestones as milestone}
+                  <li class="flex items-center gap-2 text-sm text-slate-700">
+                    <span class={`inline-flex h-2.5 w-2.5 rounded-full ${
+                      milestone.state === "done"
+                        ? "bg-emerald-500"
+                        : milestone.state === "active"
+                          ? "bg-blue-500"
+                          : "bg-slate-300"
+                    }`}></span>
+                    <span>{milestone.label}</span>
+                  </li>
+                {/each}
+              </ol>
+            </div>
+
+            <div class="mt-3 flex flex-wrap gap-2">
+              <button
+                type="button"
+                class="inline-flex items-center justify-center rounded-xl bg-blue-600 px-4 py-2 text-sm font-medium text-white transition hover:bg-blue-700 disabled:cursor-not-allowed disabled:bg-slate-300"
+                onclick={() => updateSessionLifecycle("paused")}
+                disabled={saveDisabled}
+              >
+                {$t.dataset_review?.workspace?.save_session_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"
+                onclick={handleResumeSession}
+              >
+                {$t.dataset_review?.workspace?.resume_action}
+              </button>
+            </div>
+
+            <div class="mt-4">
+              <h3 class="text-sm font-semibold text-slate-900">
+                {$t.dataset_review?.workspace?.recent_actions_title}
+              </h3>
+              <ol class="mt-3 space-y-3">
+                {#each recentActions as action}
+                  <li class="rounded-xl border border-slate-200 bg-slate-50 p-3">
+                    <div class="text-sm font-medium text-slate-900">{action.title}</div>
+                    <div class="mt-1 text-xs text-slate-600">{action.detail}</div>
+                  </li>
+                {/each}
+              </ol>
+            </div>
+          </section>
+        </div>
+
+        <div class="space-y-5">
+          <section
+            id="summary"
+            class="rounded-2xl border border-slate-200 bg-white p-5 shadow-sm"
+          >
+            <div class="flex flex-col gap-3 lg:flex-row lg:items-start lg:justify-between">
+              <div>
+                <p class="text-xs font-semibold uppercase tracking-wide text-slate-500">
+                  {$t.dataset_review?.workspace?.session_label}
+                </p>
+                <h2 class="text-xl font-semibold text-slate-900">
+                  {profile?.dataset_name || session.dataset_ref}
+                </h2>
+                <p class="mt-1 text-sm text-slate-600">
+                  {profile?.schema_name || "—"} • {profile?.database_name || "—"}
+                </p>
+              </div>
+
+              <div class="rounded-xl border border-slate-200 bg-slate-50 px-3 py-2 text-right">
+                <div class="text-xs uppercase tracking-wide text-slate-500">
+                  {$t.dataset_review?.workspace?.next_action_label}
+                </div>
+                <div class="mt-1 text-sm font-medium text-slate-900">
+                  {nextActionLabel}
+                </div>
+              </div>
+            </div>
+
+            <div class="mt-4 grid gap-3 md:grid-cols-3">
+              <div class="rounded-xl border border-slate-200 bg-slate-50 p-3">
+                <div class="text-xs uppercase tracking-wide text-slate-500">
+                  {$t.dataset_review?.workspace?.summary_source_label}
+                </div>
+                <div class="mt-1 text-sm font-medium text-slate-900">
+                  {summarySourceLabel}
+                </div>
+              </div>
+
+              <div class="rounded-xl border border-slate-200 bg-slate-50 p-3">
+                <div class="text-xs uppercase tracking-wide text-slate-500">
+                  {$t.dataset_review?.workspace?.confidence_label}
+                </div>
+                <div class="mt-1 text-sm font-medium text-slate-900">
+                  {confidenceLabel}
+                </div>
+              </div>
+
+              <div class="rounded-xl border border-slate-200 bg-slate-50 p-3">
+                <div class="text-xs uppercase tracking-wide text-slate-500">
+                  {$t.dataset_review?.workspace?.session_id_label}
+                </div>
+                <div class="mt-1 break-all text-sm font-medium text-slate-900">
+                  {session.session_id}
+                </div>
+              </div>
+            </div>
+
+            <div class="mt-4 rounded-xl border border-slate-200 bg-slate-50 p-4">
+              <div class="flex items-center justify-between gap-3">
+                <h3 class="text-sm font-semibold text-slate-900">
+                  {$t.dataset_review?.workspace?.business_summary_title}
+                </h3>
+                <div class="flex items-center gap-2">
+                  <button
+                    type="button"
+                    class="inline-flex items-center justify-center rounded-lg border border-slate-300 bg-white px-3 py-1.5 text-xs font-medium text-slate-700 transition hover:bg-slate-50"
+                    onclick={startSummaryEdit}
+                  >
+                    [{$t.common?.edit}]
+                  </button>
+                  {#if session.readiness_state === "recovery_required" || session.readiness_state === "partially_ready"}
+                    <span class="rounded-full bg-amber-100 px-2.5 py-1 text-xs font-medium text-amber-700">
+                      {$t.dataset_review?.workspace?.partial_recovery_badge}
+                    </span>
+                  {/if}
+                </div>
+              </div>
+
+              {#if isEditingSummary}
+                <textarea
+                  class="mt-3 min-h-32 w-full rounded-xl border border-slate-300 bg-white px-3 py-3 text-sm text-slate-900 shadow-sm outline-none transition focus:border-blue-500 focus:ring-2 focus:ring-blue-200"
+                  bind:value={summaryDraft}
+                ></textarea>
+                <div class="mt-3 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"
+                    onclick={saveSummaryDraft}
+                  >
+                    {$t.dataset_review?.workspace?.save_summary_action}
+                  </button>
+                  <button
+                    type="button"
+                    class="inline-flex items-center justify-center rounded-xl border border-slate-300 px-4 py-2 text-sm font-medium text-slate-700 transition hover:bg-slate-50"
+                    onclick={cancelSummaryEdit}
+                  >
+                    {$t.common?.cancel}
+                  </button>
+                </div>
+              {:else}
+                <p class="mt-3 whitespace-pre-line text-sm leading-6 text-slate-700">
+                  {summaryDraft || profile?.business_summary || $t.dataset_review?.workspace?.summary_missing}
+                </p>
+              {/if}
+
+              {#if summaryFeedback}
+                <div class="mt-3 rounded-xl border border-emerald-200 bg-emerald-50 px-3 py-3 text-xs text-emerald-800">
+                  {summaryFeedback}
+                </div>
+              {/if}
+
+              <div class="mt-3 flex flex-wrap gap-2 text-xs">
+                <span class="rounded-full bg-slate-200 px-2 py-1 text-slate-700">
+                  {$t.dataset_review?.workspace?.phase_label}: {session.current_phase}
+                </span>
+                <span class="rounded-full bg-slate-200 px-2 py-1 text-slate-700">
+                  {$t.dataset_review?.workspace?.status_label}: {session.status}
+                </span>
+                {#if session.active_task_id}
+                  <span class="rounded-full bg-blue-100 px-2 py-1 text-blue-700">
+                    {$t.dataset_review?.workspace?.active_task_label}: {session.active_task_id}
+                  </span>
+                {/if}
+              </div>
+            </div>
+
+            <div
+              id="filters"
+              class="rounded-xl border border-slate-200 bg-white p-4"
+            >
+              <div class="flex items-center justify-between gap-3">
+                <h3 class="text-sm font-semibold text-slate-900">
+                  {$t.dataset_review?.workspace?.recovery_title}
+                </h3>
+                <span class="rounded-full bg-slate-100 px-2.5 py-1 text-xs font-medium text-slate-700">
+                  {importedFilters.length}
+                </span>
+              </div>
+
+              {#if importedFilters.length === 0}
+                <p class="mt-3 text-sm text-slate-600">
+                  {$t.dataset_review?.workspace?.recovery_empty}
+                </p>
+              {:else}
+                <div class="mt-3 space-y-3">
+                  {#each importedFilters as filterItem}
+                    <div class="rounded-xl border border-slate-200 bg-slate-50 p-3">
+                      <div class="flex flex-wrap items-center gap-2">
+                        <div class="text-sm font-medium text-slate-900">
+                          {filterItem.display_name || filterItem.filter_name}
+                        </div>
+                        <span class="rounded-full bg-slate-200 px-2 py-0.5 text-xs text-slate-700">
+                          {$t.dataset_review?.workspace?.provenance_label}:
+                          {filterItem.source}
+                        </span>
+                        <span class="rounded-full bg-slate-200 px-2 py-0.5 text-xs text-slate-700">
+                          {$t.dataset_review?.workspace?.confidence_label}:
+                          {filterItem.confidence_state}
+                        </span>
+                        <span class={`rounded-full px-2 py-0.5 text-xs ${
+                          filterItem.recovery_status === "recovered"
+                            ? "bg-emerald-100 text-emerald-700"
+                            : filterItem.recovery_status === "partial"
+                              ? "bg-amber-100 text-amber-700"
+                              : "bg-red-100 text-red-700"
+                        }`}>
+                          {filterItem.recovery_status}
+                        </span>
+                      </div>
+
+                      <p class="mt-2 text-sm text-slate-700">
+                        {$t.dataset_review?.workspace?.recovered_value_label}:
+                        {JSON.stringify(filterItem.normalized_value ?? filterItem.raw_value)}
+                      </p>
+
+                      {#if filterItem.notes}
+                        <p class="mt-1 text-xs text-slate-500">{filterItem.notes}</p>
+                      {/if}
+                    </div>
+                  {/each}
+                </div>
+              {/if}
+            </div>
+
+            <ValidationFindingsPanel
+              findings={findings}
+              recommendedAction={session.recommended_action}
+              onjump={handleFindingJump}
+            />
+          </section>
+        </div>
+
+        <aside class="space-y-5">
+          <section
+            id="next-action"
+            class="rounded-2xl border border-blue-200 bg-blue-50 p-5 shadow-sm"
+          >
+            <p class="text-xs font-semibold uppercase tracking-wide text-blue-700">
+              {$t.dataset_review?.workspace?.next_action_card_eyebrow}
+            </p>
+            <h2 class="mt-1 text-lg font-semibold text-slate-900">
+              {nextActionLabel}
+            </h2>
+            <p class="mt-2 text-sm text-slate-700">
+              {$t.dataset_review?.workspace?.next_action_card_body}
+            </p>
+
+            <button
+              type="button"
+              class="mt-4 inline-flex w-full items-center justify-center rounded-xl bg-blue-600 px-4 py-2 text-sm font-medium text-white transition hover:bg-blue-700"
+              onclick={primaryActionHandler}
+            >
+              {session.recommended_action === "resume_session"
+                ? $t.dataset_review?.workspace?.resume_action
+                : $t.dataset_review?.workspace?.pause_action}
+            </button>
+
+            {#if jumpTarget}
+              <p class="mt-3 text-xs text-blue-700">
+                {$t.dataset_review?.workspace?.jump_target_label}: {jumpTarget}
+              </p>
+            {/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">
+              {$t.dataset_review?.workspace?.health_title}
+            </h2>
+            <div class="mt-4 grid gap-3">
+              <div class="rounded-xl border border-red-100 bg-red-50 p-3">
+                <div class="text-xs uppercase tracking-wide text-red-700">
+                  {$t.dataset_review?.findings?.blocking_title}
+                </div>
+                <div class="mt-1 text-xl font-semibold text-red-800">{blockingCount}</div>
+              </div>
+              <div class="rounded-xl border border-amber-100 bg-amber-50 p-3">
+                <div class="text-xs uppercase tracking-wide text-amber-700">
+                  {$t.dataset_review?.findings?.warning_title}
+                </div>
+                <div class="mt-1 text-xl font-semibold text-amber-800">{warningCount}</div>
+              </div>
+              <div class="rounded-xl border border-slate-200 bg-slate-50 p-3">
+                <div class="text-xs uppercase tracking-wide text-slate-500">
+                  {$t.dataset_review?.findings?.informational_title}
+                </div>
+                <div class="mt-1 text-xl font-semibold text-slate-800">{infoCount}</div>
+              </div>
+              <div class="rounded-xl border border-slate-200 bg-slate-50 p-3">
+                <div class="text-xs uppercase tracking-wide text-slate-500">
+                  {$t.dataset_review?.workspace?.open_findings_label}
+                </div>
+                <div class="mt-1 text-xl font-semibold text-slate-800">{openFindingsCount}</div>
+              </div>
+            </div>
+          </section>
+
+          <section
+            id="exports"
+            class="rounded-2xl border border-slate-200 bg-white p-5 shadow-sm"
+          >
+            <h2 class="text-lg font-semibold text-slate-900">
+              {$t.dataset_review?.workspace?.exports_title}
+            </h2>
+            <p class="mt-1 text-sm text-slate-600">
+              {$t.dataset_review?.workspace?.exports_description}
+            </p>
+
+            <div class="mt-4 grid gap-2">
+              <button
+                type="button"
+                class="inline-flex items-center justify-center rounded-xl border border-slate-300 px-4 py-2 text-sm font-medium text-slate-700 transition hover:bg-slate-50 disabled:cursor-not-allowed disabled:opacity-50"
+                onclick={() => exportArtifact("documentation", "json")}
+                disabled={exportDisabled}
+              >
+                {$t.dataset_review?.workspace?.export_documentation_json}
+              </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={() => exportArtifact("documentation", "markdown")}
+                disabled={exportDisabled}
+              >
+                {$t.dataset_review?.workspace?.export_documentation_markdown}
+              </button>
+              <button
+                type="button"
+                class="inline-flex items-center justify-center rounded-xl border border-slate-300 px-4 py-2 text-sm font-medium text-slate-700 transition hover:bg-slate-50 disabled:cursor-not-allowed disabled:opacity-50"
+                onclick={() => exportArtifact("validation", "json")}
+                disabled={exportDisabled}
+              >
+                {$t.dataset_review?.workspace?.export_validation_json}
+              </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={() => exportArtifact("validation", "markdown")}
+                disabled={exportDisabled}
+              >
+                {$t.dataset_review?.workspace?.export_validation_markdown}
+              </button>
+            </div>
+
+            {#if exportMessage}
+              <div class="mt-3 rounded-xl border border-slate-200 bg-slate-50 px-3 py-3 text-xs text-slate-600">
+                {exportMessage}
+              </div>
+            {/if}
+          </section>
+
+          <section class="rounded-2xl border border-slate-200 bg-white p-5 shadow-sm">
+            <h2 class="text-lg font-semibold text-slate-900">
+              {$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>
+        </aside>
+      </div>
+    {/if}
+  {/if}
+</div>
+
+<!-- [/DEF:DatasetReviewWorkspace:Component] -->

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

@@ -0,0 +1,453 @@
+/**
+ * @vitest-environment jsdom
+ */
+// @ts-nocheck
+// [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.
+// @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.
+// @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: 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.
+// @TEST_EDGE: invalid_type -> Unknown route params default to empty-state handling.
+// @TEST_EDGE: external_fail -> API failures surface explicit feedback without collapsing the workspace.
+// @TEST_INVARIANT: us1_workspace_remains_readable_and_actionable -> VERIFIED_BY: [empty_state_renders_source_intake, session_load_surfaces_partial_recovery_state, import_submission_transitions_to_review_state, export_feedback_surfaces_success_and_error]
+
+import { describe, it, expect, vi, beforeEach } from "vitest";
+import { render, screen, waitFor, fireEvent } from "@testing-library/svelte";
+import DatasetReviewWorkspace from "../+page.svelte";
+import { api } from "$lib/api.js";
+
+const mockedGoto = vi.mocked(await import("$app/navigation")).goto;
+const mockedPage = vi.mocked(await import("$app/state")).page;
+const routeState = mockedPage.params;
+
+function createSessionDetail(overrides = {}) {
+  return {
+    session_id: "session-1",
+    environment_id: "env-1",
+    source_kind: "superset_link",
+    source_input: "https://superset.local/dashboard/10",
+    dataset_ref: "public.sales",
+    readiness_state: "partially_ready",
+    recommended_action: "review_documentation",
+    status: "active",
+    current_phase: "review",
+    active_task_id: "task-77",
+    findings: [
+      {
+        title: "Missing semantic description",
+        code: "SEM-1",
+        area: "dataset_profile",
+        severity: "warning",
+        message: "Business summary needs confirmation",
+        resolution_state: "open",
+        caused_by_ref: "profile.summary",
+        resolution_note: "Confirm with reviewer",
+      },
+    ],
+    imported_filters: [
+      {
+        filter_name: "region",
+        display_name: "Region",
+        source: "superset",
+        confidence_state: "mostly_confirmed",
+        recovery_status: "partial",
+        normalized_value: ["EMEA"],
+        raw_value: ["EMEA"],
+        notes: "Recovered from dashboard state",
+      },
+    ],
+    previews: [
+      {
+        preview_status: "compiled",
+        compiled_by: "semantic-review",
+      },
+    ],
+    profile: {
+      dataset_name: "Sales Dataset",
+      schema_name: "public",
+      database_name: "analytics",
+      business_summary_source: "imported",
+      confidence_state: "mostly_confirmed",
+      business_summary: "Imported business description",
+    },
+    ...overrides,
+  };
+}
+
+vi.mock("$app/navigation", () => ({
+  goto: vi.fn(),
+}));
+
+vi.mock("$app/state", () => ({
+  page: {
+    params: {
+      id: "",
+    },
+  },
+}));
+
+vi.mock("$lib/i18n", () => ({
+  t: {
+    subscribe: (fn) => {
+      fn({
+        common: {
+          error: "Common error",
+          choose_environment: "Choose environment",
+          edit: "Edit",
+          cancel: "Cancel",
+        },
+        dataset_review: {
+          source: {
+            eyebrow: "Source intake",
+            title: "Start dataset review",
+            description: "Paste link or provide dataset reference.",
+            state_idle: "Idle",
+            state_validating: "Validating",
+            state_rejected: "Rejected",
+            environment_label: "Environment",
+            environment_required: "Environment is required",
+            superset_link_tab: "Superset link",
+            superset_link_tab_hint: "Paste dashboard or explore URL",
+            dataset_selection_tab: "Dataset selection",
+            dataset_selection_tab_hint: "Enter dataset ref",
+            superset_link_label: "Superset link",
+            dataset_selection_label: "Dataset reference",
+            superset_link_placeholder: "https://superset.local/dashboard/10",
+            dataset_selection_placeholder: "public.sales",
+            superset_link_hint: "Paste a full Superset URL",
+            dataset_selection_hint: "Provide schema.dataset reference",
+            recognized_link_hint: "Recognized Superset link",
+            superset_link_required: "Superset link is required",
+            dataset_selection_required: "Dataset reference is required",
+            superset_link_invalid: "Superset link must start with http",
+            submit_failed: "Submit failed",
+            superset_link_recovery_note: "You can fix the link inline",
+            dataset_selection_recovery_note: "You can fix the dataset inline",
+            submitting: "Submitting",
+            submit_superset_link: "Start from link",
+            submit_dataset_selection: "Start from dataset",
+            dataset_selection_acknowledged: "Dataset selection acknowledged",
+          },
+          findings: {
+            eyebrow: "Validation findings",
+            title: "Findings",
+            description: "Review validation results",
+            next_action_label: "Next action",
+            empty: "No findings",
+            blocking_title: "Blocking",
+            blocking_empty: "No blocking findings",
+            warning_title: "Warnings",
+            warning_empty: "No warning findings",
+            informational_title: "Info",
+            informational_empty: "No informational findings",
+            resolution_label: "Resolution",
+            reference_label: "Reference",
+            jump_action: "Jump to area",
+            resolution: {
+              open: "Open",
+            },
+            areas: {
+              source_intake: "Source intake",
+              dataset_profile: "Dataset summary",
+              filter_recovery: "Recovered filters",
+            },
+          },
+          workspace: {
+            eyebrow: "Dataset review",
+            title: "Dataset review workspace",
+            description: "Review imported dataset context.",
+            state_label: "Workspace state",
+            readiness_label: "Readiness",
+            loading: "Loading workspace",
+            load_failed: "Failed to load review session",
+            resume_failed: "Failed to resume session",
+            save_failed: "Failed to save session",
+            export_failed: "Failed to export artifact",
+            empty_state_title: "No session loaded",
+            source_badge_fallback: "review session",
+            save_session_action: "Save session",
+            export_summary_action: "Export summary",
+            save_summary_action: "Save summary",
+            summary_edit_saved: "Summary draft updated for the current review workspace.",
+            import_progress_eyebrow: "Import progress",
+            import_progress_title: "Recovering dataset context progressively",
+            import_progress_body:
+              "The workspace reveals milestones as source, filters, variables, and semantic candidates become available.",
+            import_milestones: {
+              recognized: "Dataset recognized",
+              filters: "Saved native filters recovered",
+              variables: "Dataset template variables detected",
+              semantic_sources: "Nearby semantic sources identified",
+              summary: "Preliminary summary prepared",
+            },
+            source_session_title: "Source & session",
+            source_label: "Dataset source",
+            import_status_title: "Superset import status",
+            recent_actions_title: "Recent actions timeline",
+            timeline: {
+              source: "Source accepted",
+              status: "Session state updated",
+              filters: "Recovered filters",
+              findings: "Validation findings recorded",
+              exports: "Latest export generated",
+            },
+            summary_sources: {
+              ai_draft: "AI draft",
+              imported: "Imported",
+            },
+            confidence: {
+              unresolved: "Unresolved",
+              mostly_confirmed: "Mostly confirmed",
+            },
+            actions: {
+              import_from_superset: "Import from Superset",
+              review_documentation: "Review documentation",
+              resume_session: "Resume session",
+            },
+            readiness: {
+              empty: "Empty",
+              partially_ready: "Partially ready",
+              review_ready: "Review ready",
+            },
+            session_label: "Session",
+            next_action_label: "Next action",
+            summary_source_label: "Summary source",
+            confidence_label: "Confidence",
+            session_id_label: "Session ID",
+            business_summary_title: "Business summary",
+            partial_recovery_badge: "Partial recovery",
+            summary_missing: "Summary unavailable",
+            phase_label: "Phase",
+            status_label: "Status",
+            active_task_label: "Active task",
+            recovery_title: "Recovered filters",
+            recovery_empty: "No recovered filters",
+            provenance_label: "Provenance",
+            recovered_value_label: "Recovered value",
+            next_action_card_eyebrow: "Recommended next step",
+            next_action_card_body: "Use the recommended action to continue review.",
+            resume_action: "Resume session",
+            pause_action: "Pause session",
+            jump_target_label: "Jump target",
+            health_title: "Review health",
+            open_findings_label: "Open findings",
+            exports_title: "Exports",
+            exports_description: "Export review artifacts.",
+            export_documentation_json: "Documentation JSON",
+            export_documentation_markdown: "Documentation Markdown",
+            export_validation_json: "Validation JSON",
+            export_validation_markdown: "Validation Markdown",
+            preview_title: "Preview",
+            preview_pending_note: "Preview not generated yet",
+            preview_status_label: "Preview status",
+            preview_compiler_label: "Compiled by",
+          },
+        },
+      });
+      return () => {};
+    },
+  },
+}));
+
+vi.mock("$lib/api.js", () => ({
+  api: {
+    fetchApi: vi.fn(),
+    postApi: vi.fn(),
+    requestApi: vi.fn(),
+  },
+}));
+
+vi.mock("$lib/stores/datasetReviewSession.js", () => ({
+  setError: vi.fn(),
+  setLoading: vi.fn(),
+  setSession: vi.fn(),
+  resetSession: vi.fn(),
+}));
+
+vi.mock("$lib/stores/environmentContext.js", () => ({
+  environmentContextStore: {
+    subscribe: (run) => {
+      run({
+        environments: [{ id: "env-1", name: "DEV" }],
+        selectedEnvId: "env-1",
+      });
+      return () => {};
+    },
+  },
+  initializeEnvironmentContext: vi.fn().mockResolvedValue(undefined),
+}));
+
+describe("DatasetReviewWorkspace UX Contract", () => {
+  beforeEach(() => {
+    routeState.id = "";
+    vi.clearAllMocks();
+    api.fetchApi.mockReset();
+    api.postApi.mockReset();
+    api.requestApi.mockReset();
+    mockedGoto.mockReset();
+  });
+
+  it("empty_state_renders_source_intake", async () => {
+    api.fetchApi.mockResolvedValue(undefined);
+
+    render(DatasetReviewWorkspace);
+
+    await waitFor(() => {
+      expect(screen.getByText("Start dataset review")).toBeDefined();
+    });
+    expect(screen.getByText("Workspace state: Empty")).toBeDefined();
+    expect(screen.getByText("Paste link or provide dataset reference.")).toBeDefined();
+  });
+
+  it("session_load_surfaces_partial_recovery_state", async () => {
+    routeState.id = "session-1";
+    api.fetchApi.mockResolvedValue(createSessionDetail());
+
+    render(DatasetReviewWorkspace);
+
+    await waitFor(() => {
+      expect(api.fetchApi).toHaveBeenCalledWith("/dataset-orchestration/sessions/session-1");
+    });
+
+    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);
+    expect(screen.getAllByRole("button", { name: "Export summary" }).length).toBeGreaterThan(0);
+    expect(screen.getByText("Source & session")).toBeDefined();
+    expect(screen.getByText("Recent actions timeline")).toBeDefined();
+    expect(screen.getByText("Source accepted")).toBeDefined();
+  });
+
+  it("summary_edit_affordance_updates_visible_draft", async () => {
+    routeState.id = "session-1";
+    api.fetchApi.mockResolvedValue(createSessionDetail());
+
+    render(DatasetReviewWorkspace);
+
+    await waitFor(() => {
+      expect(screen.getByText("Business summary")).toBeDefined();
+    });
+
+    await fireEvent.click(screen.getByRole("button", { name: "[Edit]" }));
+
+    const summaryEditor = screen.getByRole("textbox");
+    await fireEvent.input(summaryEditor, {
+      target: { value: "Updated analyst-facing summary" },
+    });
+
+    await fireEvent.click(screen.getByRole("button", { name: "Save summary" }));
+
+    expect(screen.getByText("Updated analyst-facing summary")).toBeDefined();
+    expect(
+      screen.getByText("Summary draft updated for the current review workspace."),
+    ).toBeDefined();
+  });
+
+  it("import_submission_transitions_to_review_state", async () => {
+    const createdSession = createSessionDetail();
+    let resolveSessionLoad;
+    api.postApi.mockResolvedValue({ session_id: "session-1" });
+    api.fetchApi.mockImplementation(
+      () =>
+        new Promise((resolve) => {
+          resolveSessionLoad = resolve;
+        }),
+    );
+
+    render(DatasetReviewWorkspace);
+
+    await waitFor(() => {
+      expect(screen.getByText("Start dataset review")).toBeDefined();
+    });
+
+    const environmentSelect = screen.getByRole("combobox");
+    const sourceInput = screen.getByPlaceholderText("https://superset.local/dashboard/10");
+    const submitButton = screen.getByRole("button", { name: "Start from link" });
+
+    await fireEvent.change(environmentSelect, { target: { value: "env-1" } });
+    await fireEvent.input(sourceInput, {
+      target: { value: "https://superset.local/dashboard/10" },
+    });
+    await fireEvent.click(submitButton);
+
+    await waitFor(() => {
+      expect(api.postApi).toHaveBeenCalledWith("/dataset-orchestration/sessions", {
+        source_kind: "superset_link",
+        source_input: "https://superset.local/dashboard/10",
+        environment_id: "env-1",
+      });
+    });
+
+    await waitFor(() => {
+      expect(screen.getByText("Workspace state: Importing")).toBeDefined();
+    });
+    expect(screen.getByText("Import progress")).toBeDefined();
+    expect(screen.getByText("Recovering dataset context progressively")).toBeDefined();
+    expect(screen.getByText("Dataset recognized")).toBeDefined();
+    expect(screen.getByText("Saved native filters recovered")).toBeDefined();
+
+    resolveSessionLoad(createdSession);
+
+    await waitFor(() => {
+      expect(mockedGoto).toHaveBeenCalledWith("/datasets/review/session-1");
+    });
+
+    await waitFor(() => {
+      expect(screen.getByText("Workspace state: Review")).toBeDefined();
+    });
+    expect(screen.getByText("Readiness: Partially ready")).toBeDefined();
+    expect(screen.getAllByText("Review documentation").length).toBeGreaterThan(0);
+  });
+
+  it("export_feedback_surfaces_success_and_error", async () => {
+    routeState.id = "session-1";
+    api.fetchApi
+      .mockResolvedValueOnce(createSessionDetail())
+      .mockResolvedValueOnce({
+        artifact_type: "documentation",
+        format: "json",
+        storage_ref: "artifacts/doc.json",
+      })
+      .mockRejectedValueOnce(new Error("Export unavailable"));
+
+    render(DatasetReviewWorkspace);
+
+    await waitFor(() => {
+      expect(screen.getByText("Exports")).toBeDefined();
+    });
+
+    const documentationJsonButton = screen.getByRole("button", {
+      name: "Documentation JSON",
+    });
+    const documentationMarkdownButton = screen.getByRole("button", {
+      name: "Documentation Markdown",
+    });
+
+    await fireEvent.click(documentationJsonButton);
+
+    await waitFor(() => {
+      expect(screen.getAllByText("documentation • json • artifacts/doc.json").length).toBeGreaterThan(0);
+    });
+
+    await fireEvent.click(documentationMarkdownButton);
+
+    await waitFor(() => {
+      expect(screen.getAllByText("Export unavailable").length).toBeGreaterThan(0);
+    });
+  });
+});
+// [/DEF:DatasetReviewWorkspaceUxTests:Module]

frontend/vitest.config.js

@@ -31,6 +31,7 @@ export default defineConfig({
     alias: [
       { find: '$app/environment', replacement: path.resolve(__dirname, './src/lib/stores/__tests__/mocks/environment.js') },
       { find: '$app/stores', replacement: path.resolve(__dirname, './src/lib/stores/__tests__/mocks/stores.js') },
+      { find: '$app/state', replacement: path.resolve(__dirname, './src/lib/stores/__tests__/mocks/state.js') },
       { find: '$app/navigation', replacement: path.resolve(__dirname, './src/lib/stores/__tests__/mocks/navigation.js') },
       { find: '$env/static/public', replacement: path.resolve(__dirname, './src/lib/stores/__tests__/mocks/env_public.js') },
       { find: '$components', replacement: path.resolve(__dirname, './src/components') }

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

@@ -7,21 +7,21 @@
 
 ## Phase 1: Setup
 
-- [ ] T001 Initialize backend service directory structure for `dataset_review` in `backend/src/services/dataset_review/`
+- [x] T001 Initialize backend service directory structure for `dataset_review` in `backend/src/services/dataset_review/`
-- [ ] T002 Initialize frontend component directory for `dataset-review` in `frontend/src/lib/components/dataset-review/`
+- [x] T002 Initialize frontend component directory for `dataset-review` in `frontend/src/lib/components/dataset-review/`
-- [ ] T003 Register `ff_dataset_auto_review`, `ff_dataset_clarification`, and `ff_dataset_execution` feature flags in configuration
+- [x] T003 Register `ff_dataset_auto_review`, `ff_dataset_clarification`, and `ff_dataset_execution` feature flags in configuration
-- [ ] T004 [P] Seed new `DATASET_REVIEW_*` permissions in `backend/src/scripts/seed_permissions.py`
+- [x] T004 [P] Seed new `DATASET_REVIEW_*` permissions in `backend/src/scripts/seed_permissions.py`
 
 ---
 
 ## Phase 2: Foundational Layer
 
-- [ ] T005 [P] Implement Core SQLAlchemy models for session, profile, and findings in `backend/src/models/dataset_review.py`
+- [x] T005 [P] Implement Core SQLAlchemy models for session, profile, and findings in `backend/src/models/dataset_review.py`
-- [ ] T006 [P] Implement Semantic, Mapping, and Clarification models in `backend/src/models/dataset_review.py`
+- [x] T006 [P] Implement Semantic, Mapping, and Clarification models in `backend/src/models/dataset_review.py`
-- [ ] T007 [P] Implement Preview and Launch Audit models in `backend/src/models/dataset_review.py`
+- [x] T007 [P] Implement Preview and Launch Audit models in `backend/src/models/dataset_review.py`
-- [ ] T008 [P] Implement `DatasetReviewSessionRepository` (CRITICAL: C5, PRE: auth scope, POST: consistent aggregates, INVARIANTS: ownership scope) in `backend/src/services/dataset_review/repositories/session_repository.py`
+- [x] T008 [P] Implement `DatasetReviewSessionRepository` (CRITICAL: C5, PRE: auth scope, POST: consistent aggregates, INVARIANTS: ownership scope) in `backend/src/services/dataset_review/repositories/session_repository.py`
-- [ ] T009 [P] Create Pydantic schemas for Session Summary and Detail in `backend/src/schemas/dataset_review.py`
+- [x] T009 [P] Create Pydantic schemas for Session Summary and Detail in `backend/src/schemas/dataset_review.py`
-- [ ] T010 [P] Create Svelte store for session management in `frontend/src/lib/stores/datasetReviewSession.js`
+- [x] T010 [P] Create Svelte store for session management in `frontend/src/lib/stores/datasetReviewSession.js`
 
 ---
 
@@ -31,14 +31,14 @@
 
 **Independent Test**: Submit a Superset link; verify session created, summary generated, and findings populated without manual intervention.
 
-- [ ] T011 [P] [US1] Implement `StartSessionRequest` and lifecycle endpoints in `backend/src/api/routes/dataset_review.py`
+- [X] T011 [P] [US1] Implement `StartSessionRequest` and lifecycle endpoints in `backend/src/api/routes/dataset_review.py`
-- [ ] T012 [US1] Implement `DatasetReviewOrchestrator.start_session` (CRITICAL: C5, PRE: non-empty input, POST: enqueued recovery, BELIEF: uses `belief_scope`) in `backend/src/services/dataset_review/orchestrator.py`
+- [X] T012 [US1] Implement `DatasetReviewOrchestrator.start_session` (CRITICAL: C5, PRE: non-empty input, POST: enqueued recovery, BELIEF: uses `belief_scope`) in `backend/src/services/dataset_review/orchestrator.py`
-- [ ] T013 [P] [US1] Implement `SupersetContextExtractor.parse_superset_link` (CRITICAL: C4, PRE: parseable link, POST: resolved target, REL: uses `SupersetClient`) in `backend/src/core/utils/superset_context_extractor.py`
+- [X] T013 [P] [US1] Implement `SupersetContextExtractor.parse_superset_link` (CRITICAL: C4, PRE: parseable link, POST: resolved target, REL: uses `SupersetClient`) in `backend/src/core/utils/superset_context_extractor.py`
-- [ ] T014 [US1] Implement `SemanticSourceResolver.resolve_from_dictionary` (CRITICAL: C4, PRE: source exists, POST: confidence-ranked candidates) in `backend/src/services/dataset_review/semantic_resolver.py`
+- [X] T014 [US1] Implement `SemanticSourceResolver.resolve_from_dictionary` (CRITICAL: C4, PRE: source exists, POST: confidence-ranked candidates) in `backend/src/services/dataset_review/semantic_resolver.py`
-- [ ] T015 [US1] Implement Documentation and Validation export endpoints (JSON/Markdown) in `backend/src/api/routes/dataset_review.py`
+- [X] T015 [US1] Implement Documentation and Validation export endpoints (JSON/Markdown) in `backend/src/api/routes/dataset_review.py`
-- [ ] T016 [P] [US1] Implement `SourceIntakePanel` (C3, UX_STATE: Idle/Validating/Rejected) in `frontend/src/lib/components/dataset-review/SourceIntakePanel.svelte`
+- [X] T016 [P] [US1] Implement `SourceIntakePanel` (C3, UX_STATE: Idle/Validating/Rejected) in `frontend/src/lib/components/dataset-review/SourceIntakePanel.svelte`
-- [ ] T017 [P] [US1] Implement `ValidationFindingsPanel` (C3, UX_STATE: Blocking/Warning/Info) in `frontend/src/lib/components/dataset-review/ValidationFindingsPanel.svelte`
+- [X] T017 [P] [US1] Implement `ValidationFindingsPanel` (C3, UX_STATE: Blocking/Warning/Info) in `frontend/src/lib/components/dataset-review/ValidationFindingsPanel.svelte`
-- [ ] T018 [US1] Create main `DatasetReviewWorkspace` (CRITICAL: C5, UX_STATE: Empty/Importing/Review) in `frontend/src/routes/datasets/review/[id]/+page.svelte`
+- [X] T018 [US1] Create main `DatasetReviewWorkspace` (CRITICAL: C5, UX_STATE: Empty/Importing/Review) in `frontend/src/routes/datasets/review/[id]/+page.svelte`
 - [ ] T019 [US1] Verify implementation matches ux_reference.md (Happy Path & Errors)
 - [ ] T020 [US1] Acceptance: Perform semantic audit & algorithm emulation by Tester