feat(tests): refactor LLMNode tests for clarity

Refactor test scenarios in LLMNode unit tests by introducing a new `LLMNodeTestScenario` class to enhance readability and consistency. This change simplifies the test case management by encapsulating scenario data and reduces redundancy in specifying test configurations. Improves test clarity and maintainability by using a structured approach.

api/tests/unit_tests/core/workflow/nodes/llm/test_node.py

@@ -39,6 +39,7 @@ from core.workflow.nodes.llm.node import LLMNode
 from models.enums import UserFrom
 from models.provider import ProviderType
 from models.workflow import WorkflowType
+from tests.unit_tests.core.workflow.nodes.llm.test_scenarios import LLMNodeTestScenario
 
 
 class MockTokenBufferMemory:
@@ -224,7 +225,6 @@ def test_fetch_prompt_messages__vison_disabled(faker, llm_node, model_config):
             filename="test1.jpg",
             transfer_method=FileTransferMethod.REMOTE_URL,
             remote_url=fake_remote_url,
-            related_id="1",
         )
     ]
 
@@ -280,13 +280,15 @@ def test_fetch_prompt_messages__basic(faker, llm_node, model_config):
 
     # Test scenarios covering different file input combinations
     test_scenarios = [
-        {
-            "description": "No files",
-            "user_query": fake_query,
-            "user_files": [],
-            "features": [],
-            "window_size": fake_window_size,
-            "prompt_template": [
+        LLMNodeTestScenario(
+            description="No files",
+            user_query=fake_query,
+            user_files=[],
+            features=[],
+            vision_enabled=False,
+            vision_detail=None,
+            window_size=fake_window_size,
+            prompt_template=[
                 LLMNodeChatModelMessage(
                     text=fake_context,
                     role=PromptMessageRole.SYSTEM,
@@ -303,7 +305,7 @@ def test_fetch_prompt_messages__basic(faker, llm_node, model_config):
                     edition_type="basic",
                 ),
             ],
-            "expected_messages": [
+            expected_messages=[
                 SystemPromptMessage(content=fake_context),
                 UserPromptMessage(content=fake_context),
                 AssistantPromptMessage(content=fake_assistant_prompt),
@@ -312,11 +314,11 @@ def test_fetch_prompt_messages__basic(faker, llm_node, model_config):
             + [
                 UserPromptMessage(content=fake_query),
             ],
-        },
-        {
-            "description": "User files",
-            "user_query": fake_query,
-            "user_files": [
+        ),
+        LLMNodeTestScenario(
+            description="User files",
+            user_query=fake_query,
+            user_files=[
                 File(
                     tenant_id="test",
                     type=FileType.IMAGE,
@@ -325,11 +327,11 @@ def test_fetch_prompt_messages__basic(faker, llm_node, model_config):
                     remote_url=fake_remote_url,
                 )
             ],
-            "vision_enabled": True,
-            "vision_detail": fake_vision_detail,
-            "features": [ModelFeature.VISION],
-            "window_size": fake_window_size,
-            "prompt_template": [
+            vision_enabled=True,
+            vision_detail=fake_vision_detail,
+            features=[ModelFeature.VISION],
+            window_size=fake_window_size,
+            prompt_template=[
                 LLMNodeChatModelMessage(
                     text=fake_context,
                     role=PromptMessageRole.SYSTEM,
@@ -346,7 +348,7 @@ def test_fetch_prompt_messages__basic(faker, llm_node, model_config):
                     edition_type="basic",
                 ),
             ],
-            "expected_messages": [
+            expected_messages=[
                 SystemPromptMessage(content=fake_context),
                 UserPromptMessage(content=fake_context),
                 AssistantPromptMessage(content=fake_assistant_prompt),
@@ -360,27 +362,27 @@ def test_fetch_prompt_messages__basic(faker, llm_node, model_config):
                     ]
                 ),
             ],
-        },
+        ),
     ]
 
     for scenario in test_scenarios:
-        model_config.model_schema.features = scenario["features"]
+        model_config.model_schema.features = scenario.features
 
         # Call the method under test
         prompt_messages, _ = llm_node._fetch_prompt_messages(
-            user_query=fake_query,
-            user_files=scenario["user_files"],
+            user_query=scenario.user_query,
+            user_files=scenario.user_files,
             context=fake_context,
             memory=memory,
             model_config=model_config,
-            prompt_template=scenario["prompt_template"],
+            prompt_template=scenario.prompt_template,
             memory_config=memory_config,
-            vision_enabled=True,
-            vision_detail=fake_vision_detail,
+            vision_enabled=scenario.vision_enabled,
+            vision_detail=scenario.vision_detail,
         )
 
         # Verify the result
-        assert len(prompt_messages) == len(scenario["expected_messages"]), f"Scenario failed: {scenario['description']}"
+        assert len(prompt_messages) == len(scenario.expected_messages), f"Scenario failed: {scenario.description}"
         assert (
-            prompt_messages == scenario["expected_messages"]
-        ), f"Message content mismatch in scenario: {scenario['description']}"
+            prompt_messages == scenario.expected_messages
+        ), f"Message content mismatch in scenario: {scenario.description}"

api/tests/unit_tests/core/workflow/nodes/llm/test_scenarios.py

@@ -0,0 +1,20 @@
+from pydantic import BaseModel, Field
+
+from core.file import File
+from core.model_runtime.entities.message_entities import PromptMessage
+from core.model_runtime.entities.model_entities import ModelFeature
+from core.workflow.nodes.llm.entities import LLMNodeChatModelMessage
+
+
+class LLMNodeTestScenario(BaseModel):
+    """Test scenario for LLM node testing."""
+
+    description: str = Field(..., description="Description of the test scenario")
+    user_query: str = Field(..., description="User query input")
+    user_files: list[File] = Field(default_factory=list, description="List of user files")
+    vision_enabled: bool = Field(default=False, description="Whether vision is enabled")
+    vision_detail: str | None = Field(None, description="Vision detail level if vision is enabled")
+    features: list[ModelFeature] = Field(default_factory=list, description="List of model features")
+    window_size: int = Field(..., description="Window size for memory")
+    prompt_template: list[LLMNodeChatModelMessage] = Field(..., description="Template for prompt messages")
+    expected_messages: list[PromptMessage] = Field(..., description="Expected messages after processing")