update test file of ActionNode

tests/metagpt/actions/test_design_api_an.py

@@ -6,6 +6,7 @@
 @File    : test_design_api_an.py
 """
 import pytest
+from openai._models import BaseModel
 
 from metagpt.actions.action_node import ActionNode, dict_to_markdown
 from metagpt.actions.design_api import NEW_REQ_TEMPLATE
@@ -23,17 +24,23 @@ def llm():
     return LLM()
 
 
+def mock_refined_design_json():
+    return REFINED_DESIGN_JSON
+
+
 @pytest.mark.asyncio
 async def test_write_design_an(mocker):
     root = ActionNode.from_children(
         "RefinedDesignAPI", [ActionNode(key="", expected_type=str, instruction="", example="")]
     )
-    root.instruct_content = REFINED_DESIGN_JSON
-
+    root.instruct_content = BaseModel()
+    root.instruct_content.model_dump = mock_refined_design_json
     mocker.patch("metagpt.actions.design_api_an.REFINED_DESIGN_NODES.fill", return_value=root)
+
     prompt = NEW_REQ_TEMPLATE.format(old_design=DESIGN_SAMPLE, context=dict_to_markdown(REFINED_PRD_JSON))
     node = await REFINED_DESIGN_NODES.fill(prompt, llm)
-    assert "Refined Implementation Approach" in node.instruct_content
-    assert "Refined File list" in node.instruct_content
-    assert "Refined Data structures and interfaces" in node.instruct_content
-    assert "Refined Program call flow" in node.instruct_content
+
+    assert "Refined Implementation Approach" in node.instruct_content.model_dump()
+    assert "Refined File list" in node.instruct_content.model_dump()
+    assert "Refined Data structures and interfaces" in node.instruct_content.model_dump()
+    assert "Refined Program call flow" in node.instruct_content.model_dump()

tests/metagpt/actions/test_project_management_an.py

@@ -6,6 +6,7 @@
 @File    : test_project_management_an.py
 """
 import pytest
+from openai._models import BaseModel
 
 from metagpt.actions.action_node import ActionNode, dict_to_markdown
 from metagpt.actions.project_management import NEW_REQ_TEMPLATE
@@ -23,18 +24,22 @@ def llm():
     return LLM()
 
 
+def mock_refined_tasks_json():
+    return REFINED_TASKS_JSON
+
+
 @pytest.mark.asyncio
 async def test_project_management_an(mocker):
     root = ActionNode.from_children(
         "RefinedProjectManagement", [ActionNode(key="", expected_type=str, instruction="", example="")]
     )
-    root.instruct_content = REFINED_TASKS_JSON
-
+    root.instruct_content = BaseModel()
+    root.instruct_content.model_dump = mock_refined_tasks_json
     mocker.patch("metagpt.actions.project_management_an.REFINED_PM_NODES.fill", return_value=root)
 
     prompt = NEW_REQ_TEMPLATE.format(old_tasks=TASKS_SAMPLE, context=dict_to_markdown(REFINED_DESIGN_JSON))
     node = await REFINED_PM_NODES.fill(prompt, llm)
-    assert node.instruct_content
-    assert "Refined Logic Analysis" in node.instruct_content
-    assert "Refined Task list" in node.instruct_content
-    assert "Refined Shared Knowledge" in node.instruct_content
+
+    assert "Refined Logic Analysis" in node.instruct_content.model_dump()
+    assert "Refined Task list" in node.instruct_content.model_dump()
+    assert "Refined Shared Knowledge" in node.instruct_content.model_dump()

tests/metagpt/actions/test_write_code_guideline_an.py

@@ -6,6 +6,7 @@
 @File    : test_write_code_guideline_an.py
 """
 import pytest
+from openai._models import BaseModel
 
 from metagpt.actions.action_node import ActionNode
 from metagpt.actions.write_code import WriteCode
@@ -28,12 +29,17 @@ from tests.data.incremental_dev_project.mock import (
 )
 
 
+def mock_guidelines_and_incremental_change():
+    return GUIDELINES_AND_INCREMENTAL_CHANGE_SAMPLE
+
+
 @pytest.mark.asyncio
 async def test_write_code_guideline_an(mocker):
     root = ActionNode.from_children(
         "WriteCodeGuideline", [ActionNode(key="", expected_type=str, instruction="", example="")]
     )
-    root.instruct_content = GUIDELINES_AND_INCREMENTAL_CHANGE_SAMPLE
+    root.instruct_content = BaseModel()
+    root.instruct_content.model_dump = mock_guidelines_and_incremental_change
     mocker.patch("metagpt.actions.write_code_guideline_an.WriteCodeGuideline.run", return_value=root)
 
     write_code_guideline = WriteCodeGuideline()
@@ -45,7 +51,8 @@ async def test_write_code_guideline_an(mocker):
         code=OLD_CODE_SAMPLE,
     )
     node = await write_code_guideline.run(context=context)
-    assert "Guidelines and Incremental Change" in node.instruct_content
+
+    assert "Guidelines and Incremental Change" in node.instruct_content.model_dump()
 
 
 @pytest.mark.asyncio

tests/metagpt/actions/test_write_prd_an.py

@@ -6,6 +6,7 @@
 @File    : test_write_prd_an.py
 """
 import pytest
+from openai._models import BaseModel
 
 from metagpt.actions.action_node import ActionNode
 from metagpt.actions.write_prd_an import REFINE_PRD_NODE, REFINE_PRD_TEMPLATE
@@ -22,20 +23,26 @@ def llm():
     return LLM()
 
 
+def mock_refined_prd_json():
+    return REFINED_PRD_JSON
+
+
 @pytest.mark.asyncio
 async def test_write_prd_an(mocker):
     root = ActionNode.from_children("RefinePRD", [ActionNode(key="", expected_type=str, instruction="", example="")])
-    root.instruct_content = REFINED_PRD_JSON
-
+    root.instruct_content = BaseModel()
+    root.instruct_content.model_dump = mock_refined_prd_json
     mocker.patch("metagpt.actions.write_prd_an.REFINE_PRD_NODE.fill", return_value=root)
+
     prompt = REFINE_PRD_TEMPLATE.format(
         requirements=NEW_REQUIREMENT_SAMPLE,
         old_prd=PRD_SAMPLE,
         project_name="",
     )
     node = await REFINE_PRD_NODE.fill(prompt, llm)
-    assert "Refined Requirements" in node.instruct_content
-    assert "Refined Product Goals" in node.instruct_content
-    assert "Refined User Stories" in node.instruct_content
-    assert "Refined Requirement Analysis" in node.instruct_content
-    assert "Refined Requirement Pool" in node.instruct_content
+
+    assert "Refined Requirements" in node.instruct_content.model_dump()
+    assert "Refined Product Goals" in node.instruct_content.model_dump()
+    assert "Refined User Stories" in node.instruct_content.model_dump()
+    assert "Refined Requirement Analysis" in node.instruct_content.model_dump()
+    assert "Refined Requirement Pool" in node.instruct_content.model_dump()