Merge branch 'main' into copilot/refactor-unnecessary-cast-call

Co-authored-by: asukaminato0721 <30024051+asukaminato0721@users.noreply.github.com>

api/core/ops/aliyun_trace/data_exporter/traceclient.py

@@ -7,7 +7,7 @@ import uuid
 from collections import deque
 from collections.abc import Sequence
 from datetime import datetime
-from typing import Final, cast
+from typing import Final
 from urllib.parse import urljoin
 
 import httpx
@@ -201,7 +201,7 @@ def convert_to_trace_id(uuid_v4: str | None) -> int:
         raise ValueError("UUID cannot be None")
     try:
         uuid_obj = uuid.UUID(uuid_v4)
-        return cast(int, uuid_obj.int)
+        return uuid_obj.int
     except ValueError as e:
         raise ValueError(f"Invalid UUID input: {uuid_v4}") from e
 

api/core/ops/tencent_trace/utils.py

@@ -6,7 +6,6 @@ import hashlib
 import random
 import uuid
 from datetime import datetime
-from typing import cast
 
 from opentelemetry.trace import Link, SpanContext, TraceFlags
 
@@ -23,7 +22,7 @@ class TencentTraceUtils:
             uuid_obj = uuid.UUID(uuid_v4) if uuid_v4 else uuid.uuid4()
         except Exception as e:
             raise ValueError(f"Invalid UUID input: {e}")
-        return cast(int, uuid_obj.int)
+        return uuid_obj.int
 
     @staticmethod
     def convert_to_span_id(uuid_v4: str | None, span_type: str) -> int:
@@ -52,9 +51,9 @@ class TencentTraceUtils:
     @staticmethod
     def create_link(trace_id_str: str) -> Link:
         try:
-            trace_id = int(trace_id_str, 16) if len(trace_id_str) == 32 else cast(int, uuid.UUID(trace_id_str).int)
+            trace_id = int(trace_id_str, 16) if len(trace_id_str) == 32 else uuid.UUID(trace_id_str).int
         except (ValueError, TypeError):
-            trace_id = cast(int, uuid.uuid4().int)
+            trace_id = uuid.uuid4().int
 
         span_context = SpanContext(
             trace_id=trace_id,

api/pyproject.toml

@@ -113,7 +113,7 @@ dev = [
     "dotenv-linter~=0.5.0",
     "faker~=38.2.0",
     "lxml-stubs~=0.5.1",
-    "basedpyright~=1.31.0",
+    "basedpyright~=1.38.2",
     "ruff~=0.14.0",
     "pytest~=8.3.2",
     "pytest-benchmark~=4.0.0",
@@ -167,12 +167,12 @@ dev = [
     "import-linter>=2.3",
     "types-redis>=4.6.0.20241004",
     "celery-types>=0.23.0",
-    "mypy~=1.17.1",
+    "mypy~=1.19.1",
     # "locust>=2.40.4",  # Temporarily removed due to compatibility issues. Uncomment when resolved.
     "sseclient-py>=1.8.0",
     "pytest-timeout>=2.4.0",
     "pytest-xdist>=3.8.0",
-    "pyrefly>=0.54.0",
+    "pyrefly>=0.55.0",
 ]
 
 ############################################################

api/tests/test_containers_integration_tests/services/test_dataset_service_delete_dataset.py

@@ -0,0 +1,244 @@
+"""Container-backed integration tests for DatasetService.delete_dataset real SQL paths."""
+
+from unittest.mock import patch
+from uuid import uuid4
+
+from models.account import Account, Tenant, TenantAccountJoin, TenantAccountRole
+from models.dataset import Dataset, Document
+from services.dataset_service import DatasetService
+
+
+class DatasetDeleteIntegrationDataFactory:
+    """Create persisted entities used by delete_dataset integration tests."""
+
+    @staticmethod
+    def create_account_with_tenant(db_session_with_containers) -> tuple[Account, Tenant]:
+        """Persist an owner account, tenant, and tenant join for dataset deletion tests."""
+        account = Account(
+            email=f"owner-{uuid4()}@example.com",
+            name="Owner",
+            interface_language="en-US",
+            status="active",
+        )
+        db_session_with_containers.add(account)
+        db_session_with_containers.commit()
+
+        tenant = Tenant(
+            name=f"tenant-{uuid4()}",
+            status="normal",
+        )
+        db_session_with_containers.add(tenant)
+        db_session_with_containers.commit()
+
+        join = TenantAccountJoin(
+            tenant_id=tenant.id,
+            account_id=account.id,
+            role=TenantAccountRole.OWNER,
+            current=True,
+        )
+        db_session_with_containers.add(join)
+        db_session_with_containers.commit()
+
+        account.current_tenant = tenant
+        return account, tenant
+
+    @staticmethod
+    def create_dataset(
+        db_session_with_containers,
+        tenant_id: str,
+        created_by: str,
+        *,
+        indexing_technique: str | None,
+        chunk_structure: str | None,
+        index_struct: str | None = '{"type": "paragraph"}',
+        collection_binding_id: str | None = None,
+        pipeline_id: str | None = None,
+    ) -> Dataset:
+        """Persist a dataset with delete_dataset-relevant fields configured."""
+        dataset = Dataset(
+            tenant_id=tenant_id,
+            name=f"dataset-{uuid4()}",
+            data_source_type="upload_file",
+            indexing_technique=indexing_technique,
+            index_struct=index_struct,
+            created_by=created_by,
+            collection_binding_id=collection_binding_id,
+            pipeline_id=pipeline_id,
+            chunk_structure=chunk_structure,
+        )
+        db_session_with_containers.add(dataset)
+        db_session_with_containers.commit()
+        return dataset
+
+    @staticmethod
+    def create_document(
+        db_session_with_containers,
+        *,
+        tenant_id: str,
+        dataset_id: str,
+        created_by: str,
+        doc_form: str = "text_model",
+    ) -> Document:
+        """Persist a document so dataset.doc_form resolves through the real document path."""
+        document = Document(
+            tenant_id=tenant_id,
+            dataset_id=dataset_id,
+            position=1,
+            data_source_type="upload_file",
+            batch=f"batch-{uuid4()}",
+            name="Document",
+            created_from="upload_file",
+            created_by=created_by,
+            doc_form=doc_form,
+        )
+        db_session_with_containers.add(document)
+        db_session_with_containers.commit()
+        return document
+
+
+class TestDatasetServiceDeleteDataset:
+    """Integration coverage for DatasetService.delete_dataset using testcontainers."""
+
+    def test_delete_dataset_with_documents_success(self, db_session_with_containers):
+        """Delete a dataset with documents and dispatch cleanup through the real signal handler."""
+        # Arrange
+        owner, tenant = DatasetDeleteIntegrationDataFactory.create_account_with_tenant(db_session_with_containers)
+        dataset = DatasetDeleteIntegrationDataFactory.create_dataset(
+            db_session_with_containers,
+            tenant_id=tenant.id,
+            created_by=owner.id,
+            indexing_technique="high_quality",
+            chunk_structure=None,
+            index_struct='{"type": "paragraph"}',
+            collection_binding_id=str(uuid4()),
+            pipeline_id=str(uuid4()),
+        )
+        DatasetDeleteIntegrationDataFactory.create_document(
+            db_session_with_containers,
+            tenant_id=tenant.id,
+            dataset_id=dataset.id,
+            created_by=owner.id,
+            doc_form="text_model",
+        )
+
+        # Act
+        with patch(
+            "events.event_handlers.clean_when_dataset_deleted.clean_dataset_task.delay",
+            autospec=True,
+        ) as clean_dataset_delay:
+            result = DatasetService.delete_dataset(dataset.id, owner)
+
+        # Assert
+        db_session_with_containers.expire_all()
+        assert result is True
+        assert db_session_with_containers.get(Dataset, dataset.id) is None
+        clean_dataset_delay.assert_called_once_with(
+            dataset.id,
+            dataset.tenant_id,
+            dataset.indexing_technique,
+            dataset.index_struct,
+            dataset.collection_binding_id,
+            dataset.doc_form,
+            dataset.pipeline_id,
+        )
+
+    def test_delete_empty_dataset_success(self, db_session_with_containers):
+        """Delete an empty dataset without scheduling cleanup when both gating fields are absent."""
+        # Arrange
+        owner, tenant = DatasetDeleteIntegrationDataFactory.create_account_with_tenant(db_session_with_containers)
+        dataset = DatasetDeleteIntegrationDataFactory.create_dataset(
+            db_session_with_containers,
+            tenant_id=tenant.id,
+            created_by=owner.id,
+            indexing_technique=None,
+            chunk_structure=None,
+            index_struct=None,
+            collection_binding_id=None,
+            pipeline_id=None,
+        )
+
+        # Act
+        with patch(
+            "events.event_handlers.clean_when_dataset_deleted.clean_dataset_task.delay",
+            autospec=True,
+        ) as clean_dataset_delay:
+            result = DatasetService.delete_dataset(dataset.id, owner)
+
+        # Assert
+        db_session_with_containers.expire_all()
+        assert result is True
+        assert db_session_with_containers.get(Dataset, dataset.id) is None
+        clean_dataset_delay.assert_not_called()
+
+    def test_delete_dataset_with_partial_none_values(self, db_session_with_containers):
+        """Delete a dataset without cleanup when indexing_technique is missing but doc_form resolves."""
+        # Arrange
+        owner, tenant = DatasetDeleteIntegrationDataFactory.create_account_with_tenant(db_session_with_containers)
+        dataset = DatasetDeleteIntegrationDataFactory.create_dataset(
+            db_session_with_containers,
+            tenant_id=tenant.id,
+            created_by=owner.id,
+            indexing_technique=None,
+            chunk_structure="text_model",
+            index_struct='{"type": "paragraph"}',
+            collection_binding_id=str(uuid4()),
+            pipeline_id=str(uuid4()),
+        )
+
+        # Act
+        with patch(
+            "events.event_handlers.clean_when_dataset_deleted.clean_dataset_task.delay",
+            autospec=True,
+        ) as clean_dataset_delay:
+            result = DatasetService.delete_dataset(dataset.id, owner)
+
+        # Assert
+        db_session_with_containers.expire_all()
+        assert result is True
+        assert db_session_with_containers.get(Dataset, dataset.id) is None
+        clean_dataset_delay.assert_not_called()
+
+    def test_delete_dataset_with_doc_form_none_indexing_technique_exists(self, db_session_with_containers):
+        """Delete a dataset without cleanup when indexing exists but doc_form resolves to None."""
+        # Arrange
+        owner, tenant = DatasetDeleteIntegrationDataFactory.create_account_with_tenant(db_session_with_containers)
+        dataset = DatasetDeleteIntegrationDataFactory.create_dataset(
+            db_session_with_containers,
+            tenant_id=tenant.id,
+            created_by=owner.id,
+            indexing_technique="high_quality",
+            chunk_structure=None,
+            index_struct='{"type": "paragraph"}',
+            collection_binding_id=str(uuid4()),
+            pipeline_id=str(uuid4()),
+        )
+
+        # Act
+        with patch(
+            "events.event_handlers.clean_when_dataset_deleted.clean_dataset_task.delay",
+            autospec=True,
+        ) as clean_dataset_delay:
+            result = DatasetService.delete_dataset(dataset.id, owner)
+
+        # Assert
+        db_session_with_containers.expire_all()
+        assert result is True
+        assert db_session_with_containers.get(Dataset, dataset.id) is None
+        clean_dataset_delay.assert_not_called()
+
+    def test_delete_dataset_not_found(self, db_session_with_containers):
+        """Return False without scheduling cleanup when the target dataset does not exist."""
+        # Arrange
+        owner, _ = DatasetDeleteIntegrationDataFactory.create_account_with_tenant(db_session_with_containers)
+        missing_dataset_id = str(uuid4())
+
+        # Act
+        with patch(
+            "events.event_handlers.clean_when_dataset_deleted.clean_dataset_task.delay",
+            autospec=True,
+        ) as clean_dataset_delay:
+            result = DatasetService.delete_dataset(missing_dataset_id, owner)
+
+        # Assert
+        assert result is False
+        clean_dataset_delay.assert_not_called()

api/tests/unit_tests/services/test_dataset_service_delete_dataset.py

@@ -1,216 +0,0 @@
-from unittest.mock import Mock, patch
-
-import pytest
-
-from models.account import Account, TenantAccountRole
-from models.dataset import Dataset
-from services.dataset_service import DatasetService
-
-
-class DatasetDeleteTestDataFactory:
-    """Factory class for creating test data and mock objects for dataset delete tests."""
-
-    @staticmethod
-    def create_dataset_mock(
-        dataset_id: str = "dataset-123",
-        tenant_id: str = "test-tenant-123",
-        created_by: str = "creator-456",
-        doc_form: str | None = None,
-        indexing_technique: str | None = "high_quality",
-        **kwargs,
-    ) -> Mock:
-        """Create a mock dataset with specified attributes."""
-        dataset = Mock(spec=Dataset)
-        dataset.id = dataset_id
-        dataset.tenant_id = tenant_id
-        dataset.created_by = created_by
-        dataset.doc_form = doc_form
-        dataset.indexing_technique = indexing_technique
-        for key, value in kwargs.items():
-            setattr(dataset, key, value)
-        return dataset
-
-    @staticmethod
-    def create_user_mock(
-        user_id: str = "user-789",
-        tenant_id: str = "test-tenant-123",
-        role: TenantAccountRole = TenantAccountRole.ADMIN,
-        **kwargs,
-    ) -> Mock:
-        """Create a mock user with specified attributes."""
-        user = Mock(spec=Account)
-        user.id = user_id
-        user.current_tenant_id = tenant_id
-        user.current_role = role
-        for key, value in kwargs.items():
-            setattr(user, key, value)
-        return user
-
-
-class TestDatasetServiceDeleteDataset:
-    """
-    Comprehensive unit tests for DatasetService.delete_dataset method.
-
-    This test suite covers all deletion scenarios including:
-    - Normal dataset deletion with documents
-    - Empty dataset deletion (no documents, doc_form is None)
-    - Dataset deletion with missing indexing_technique
-    - Permission checks
-    - Event handling
-
-    This test suite provides regression protection for issue #27073.
-    """
-
-    @pytest.fixture
-    def mock_dataset_service_dependencies(self):
-        """Common mock setup for dataset service dependencies."""
-        with (
-            patch("services.dataset_service.DatasetService.get_dataset") as mock_get_dataset,
-            patch("services.dataset_service.DatasetService.check_dataset_permission") as mock_check_perm,
-            patch("extensions.ext_database.db.session") as mock_db,
-            patch("services.dataset_service.dataset_was_deleted") as mock_dataset_was_deleted,
-        ):
-            yield {
-                "get_dataset": mock_get_dataset,
-                "check_permission": mock_check_perm,
-                "db_session": mock_db,
-                "dataset_was_deleted": mock_dataset_was_deleted,
-            }
-
-    def test_delete_dataset_with_documents_success(self, mock_dataset_service_dependencies):
-        """
-        Test successful deletion of a dataset with documents.
-
-        This test verifies:
-        - Dataset is retrieved correctly
-        - Permission check is performed
-        - dataset_was_deleted event is sent
-        - Dataset is deleted from database
-        - Method returns True
-        """
-        # Arrange
-        dataset = DatasetDeleteTestDataFactory.create_dataset_mock(
-            doc_form="text_model", indexing_technique="high_quality"
-        )
-        user = DatasetDeleteTestDataFactory.create_user_mock()
-
-        mock_dataset_service_dependencies["get_dataset"].return_value = dataset
-
-        # Act
-        result = DatasetService.delete_dataset(dataset.id, user)
-
-        # Assert
-        assert result is True
-        mock_dataset_service_dependencies["get_dataset"].assert_called_once_with(dataset.id)
-        mock_dataset_service_dependencies["check_permission"].assert_called_once_with(dataset, user)
-        mock_dataset_service_dependencies["dataset_was_deleted"].send.assert_called_once_with(dataset)
-        mock_dataset_service_dependencies["db_session"].delete.assert_called_once_with(dataset)
-        mock_dataset_service_dependencies["db_session"].commit.assert_called_once()
-
-    def test_delete_empty_dataset_success(self, mock_dataset_service_dependencies):
-        """
-        Test successful deletion of an empty dataset (no documents, doc_form is None).
-
-        This test verifies that:
-        - Empty datasets can be deleted without errors
-        - dataset_was_deleted event is sent (event handler will skip cleanup if doc_form is None)
-        - Dataset is deleted from database
-        - Method returns True
-
-        This is the primary test for issue #27073 where deleting an empty dataset
-        caused internal server error due to assertion failure in event handlers.
-        """
-        # Arrange
-        dataset = DatasetDeleteTestDataFactory.create_dataset_mock(doc_form=None, indexing_technique=None)
-        user = DatasetDeleteTestDataFactory.create_user_mock()
-
-        mock_dataset_service_dependencies["get_dataset"].return_value = dataset
-
-        # Act
-        result = DatasetService.delete_dataset(dataset.id, user)
-
-        # Assert - Verify complete deletion flow
-        assert result is True
-        mock_dataset_service_dependencies["get_dataset"].assert_called_once_with(dataset.id)
-        mock_dataset_service_dependencies["check_permission"].assert_called_once_with(dataset, user)
-        mock_dataset_service_dependencies["dataset_was_deleted"].send.assert_called_once_with(dataset)
-        mock_dataset_service_dependencies["db_session"].delete.assert_called_once_with(dataset)
-        mock_dataset_service_dependencies["db_session"].commit.assert_called_once()
-
-    def test_delete_dataset_with_partial_none_values(self, mock_dataset_service_dependencies):
-        """
-        Test deletion of dataset with partial None values.
-
-        This test verifies that datasets with partial None values (e.g., doc_form exists
-        but indexing_technique is None) can be deleted successfully. The event handler
-        will skip cleanup if any required field is None.
-
-        Improvement based on Gemini Code Assist suggestion: Added comprehensive assertions
-        to verify all core deletion operations are performed, not just event sending.
-        """
-        # Arrange
-        dataset = DatasetDeleteTestDataFactory.create_dataset_mock(doc_form="text_model", indexing_technique=None)
-        user = DatasetDeleteTestDataFactory.create_user_mock()
-
-        mock_dataset_service_dependencies["get_dataset"].return_value = dataset
-
-        # Act
-        result = DatasetService.delete_dataset(dataset.id, user)
-
-        # Assert - Verify complete deletion flow (Gemini suggestion implemented)
-        assert result is True
-        mock_dataset_service_dependencies["get_dataset"].assert_called_once_with(dataset.id)
-        mock_dataset_service_dependencies["check_permission"].assert_called_once_with(dataset, user)
-        mock_dataset_service_dependencies["dataset_was_deleted"].send.assert_called_once_with(dataset)
-        mock_dataset_service_dependencies["db_session"].delete.assert_called_once_with(dataset)
-        mock_dataset_service_dependencies["db_session"].commit.assert_called_once()
-
-    def test_delete_dataset_with_doc_form_none_indexing_technique_exists(self, mock_dataset_service_dependencies):
-        """
-        Test deletion of dataset where doc_form is None but indexing_technique exists.
-
-        This edge case can occur in certain dataset configurations and should be handled
-        gracefully by the event handler's conditional check.
-        """
-        # Arrange
-        dataset = DatasetDeleteTestDataFactory.create_dataset_mock(doc_form=None, indexing_technique="high_quality")
-        user = DatasetDeleteTestDataFactory.create_user_mock()
-
-        mock_dataset_service_dependencies["get_dataset"].return_value = dataset
-
-        # Act
-        result = DatasetService.delete_dataset(dataset.id, user)
-
-        # Assert - Verify complete deletion flow
-        assert result is True
-        mock_dataset_service_dependencies["get_dataset"].assert_called_once_with(dataset.id)
-        mock_dataset_service_dependencies["check_permission"].assert_called_once_with(dataset, user)
-        mock_dataset_service_dependencies["dataset_was_deleted"].send.assert_called_once_with(dataset)
-        mock_dataset_service_dependencies["db_session"].delete.assert_called_once_with(dataset)
-        mock_dataset_service_dependencies["db_session"].commit.assert_called_once()
-
-    def test_delete_dataset_not_found(self, mock_dataset_service_dependencies):
-        """
-        Test deletion attempt when dataset doesn't exist.
-
-        This test verifies that:
-        - Method returns False when dataset is not found
-        - No deletion operations are performed
-        - No events are sent
-        """
-        # Arrange
-        dataset_id = "non-existent-dataset"
-        user = DatasetDeleteTestDataFactory.create_user_mock()
-
-        mock_dataset_service_dependencies["get_dataset"].return_value = None
-
-        # Act
-        result = DatasetService.delete_dataset(dataset_id, user)
-
-        # Assert
-        assert result is False
-        mock_dataset_service_dependencies["get_dataset"].assert_called_once_with(dataset_id)
-        mock_dataset_service_dependencies["check_permission"].assert_not_called()
-        mock_dataset_service_dependencies["dataset_was_deleted"].send.assert_not_called()
-        mock_dataset_service_dependencies["db_session"].delete.assert_not_called()
-        mock_dataset_service_dependencies["db_session"].commit.assert_not_called()

api/uv.lock

@@ -505,14 +505,14 @@ wheels = [
 
 [[package]]
 name = "basedpyright"
-version = "1.31.7"
+version = "1.38.2"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "nodejs-wheel-binaries" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/c6/ba/ed69e8df732a09c8ca469f592c8e08707fe29149735b834c276d94d4a3da/basedpyright-1.31.7.tar.gz", hash = "sha256:394f334c742a19bcc5905b2455c9f5858182866b7679a6f057a70b44b049bceb", size = 22710948, upload-time = "2025-10-11T05:12:48.3Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/e4/a3/20aa7c4e83f2f614e0036300f3c352775dede0655c66814da16c37b661a9/basedpyright-1.38.2.tar.gz", hash = "sha256:b433b2b8ba745ed7520cdc79a29a03682f3fb00346d272ece5944e9e5e5daa92", size = 25277019, upload-time = "2026-02-26T11:18:43.594Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/f8/90/ce01ad2d0afdc1b82b8b5aaba27e60d2e138e39d887e71c35c55d8f1bfcd/basedpyright-1.31.7-py3-none-any.whl", hash = "sha256:7c54beb7828c9ed0028630aaa6904f395c27e5a9f5a313aa9e91fc1d11170831", size = 11817571, upload-time = "2025-10-11T05:12:45.432Z" },
+    { url = "https://files.pythonhosted.org/packages/ac/12/736cab83626fea3fe65cdafb3ef3d2ee9480c56723f2fd33921537289a5e/basedpyright-1.38.2-py3-none-any.whl", hash = "sha256:153481d37fd19f9e3adedc8629d1d071b10c5f5e49321fb026b74444b7c70e24", size = 12312475, upload-time = "2026-02-26T11:18:40.373Z" },
 ]
 
 [[package]]
@@ -1660,7 +1660,7 @@ requires-dist = [
 
 [package.metadata.requires-dev]
 dev = [
-    { name = "basedpyright", specifier = "~=1.31.0" },
+    { name = "basedpyright", specifier = "~=1.38.2" },
     { name = "boto3-stubs", specifier = ">=1.38.20" },
     { name = "celery-types", specifier = ">=0.23.0" },
     { name = "coverage", specifier = "~=7.2.4" },
@@ -1669,9 +1669,9 @@ dev = [
     { name = "hypothesis", specifier = ">=6.131.15" },
     { name = "import-linter", specifier = ">=2.3" },
     { name = "lxml-stubs", specifier = "~=0.5.1" },
-    { name = "mypy", specifier = "~=1.17.1" },
+    { name = "mypy", specifier = "~=1.19.1" },
     { name = "pandas-stubs", specifier = "~=2.2.3" },
-    { name = "pyrefly", specifier = ">=0.54.0" },
+    { name = "pyrefly", specifier = ">=0.55.0" },
     { name = "pytest", specifier = "~=8.3.2" },
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