refactor: Refactors provider retrieval using SQLAlchemy session

Signed-off-by: -LAN- <laipz8200@outlook.com>

api/core/provider_manager.py

@@ -3,7 +3,9 @@ from collections import defaultdict
 from json import JSONDecodeError
 from typing import Any, Optional, cast
 
+from sqlalchemy import select
 from sqlalchemy.exc import IntegrityError
+from sqlalchemy.orm import Session
 
 from configs import dify_config
 from core.entities.model_entities import DefaultModelEntity, DefaultModelProviderEntity
@@ -393,19 +395,13 @@ class ProviderManager:
 
     @staticmethod
     def _get_all_providers(tenant_id: str) -> dict[str, list[Provider]]:
-        """
-        Get all provider records of the workspace.
-
-        :param tenant_id: workspace id
-        :return:
-        """
-        providers = db.session.query(Provider).filter(Provider.tenant_id == tenant_id, Provider.is_valid == True).all()
-
         provider_name_to_provider_records_dict = defaultdict(list)
-        for provider in providers:
-            # TODO: Use provider name with prefix after the data migration
-            provider_name_to_provider_records_dict[str(ModelProviderID(provider.provider_name))].append(provider)
-
+        with Session(db.engine, expire_on_commit=False) as session:
+            stmt = select(Provider).where(Provider.tenant_id == tenant_id, Provider.is_valid == True)
+            providers = session.scalars(stmt)
+            for provider in providers:
+                # Use provider name with prefix after the data migration
+                provider_name_to_provider_records_dict[str(ModelProviderID(provider.provider_name))].append(provider)
         return provider_name_to_provider_records_dict
 
     @staticmethod

api/tests/integration_tests/workflow/nodes/test_llm.py

@@ -103,9 +103,6 @@ def test_execute_llm(setup_model_mock):
 
     credentials = {"openai_api_key": os.environ.get("OPENAI_API_KEY")}
 
-    # Mock db.session.close()
-    db.session.close = MagicMock()
-
     node._fetch_model_config = get_mocked_fetch_model_config(
         provider="langgenius/openai/openai",
         model="gpt-3.5-turbo",