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feat: Human Input Node (#32060)
The frontend and backend implementation for the human input node. Co-authored-by: twwu <twwu@dify.ai> Co-authored-by: JzoNg <jzongcode@gmail.com> Co-authored-by: yyh <92089059+lyzno1@users.noreply.github.com> Co-authored-by: zhsama <torvalds@linux.do>
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@ -1296,6 +1296,7 @@ class TestConversationStatusCount:
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assert result["success"] == 1 # One SUCCEEDED
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assert result["failed"] == 1 # One FAILED
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assert result["partial_success"] == 1 # One PARTIAL_SUCCEEDED
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assert result["paused"] == 0
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def test_status_count_app_id_filtering(self):
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"""Test that status_count filters workflow runs by app_id for security."""
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@ -1350,6 +1351,7 @@ class TestConversationStatusCount:
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assert result["success"] == 0
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assert result["failed"] == 0
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assert result["partial_success"] == 0
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assert result["paused"] == 0
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def test_status_count_handles_invalid_workflow_status(self):
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"""Test that status_count gracefully handles invalid workflow status values."""
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@ -1404,3 +1406,57 @@ class TestConversationStatusCount:
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assert result["success"] == 0
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assert result["failed"] == 0
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assert result["partial_success"] == 0
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assert result["paused"] == 0
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def test_status_count_paused(self):
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"""Test status_count includes paused workflow runs."""
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# Arrange
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from core.workflow.enums import WorkflowExecutionStatus
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app_id = str(uuid4())
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conversation_id = str(uuid4())
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workflow_run_id = str(uuid4())
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conversation = Conversation(
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app_id=app_id,
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mode=AppMode.CHAT,
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name="Test Conversation",
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status="normal",
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from_source="api",
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)
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conversation.id = conversation_id
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mock_messages = [
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MagicMock(
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conversation_id=conversation_id,
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workflow_run_id=workflow_run_id,
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),
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]
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mock_workflow_runs = [
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MagicMock(
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id=workflow_run_id,
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status=WorkflowExecutionStatus.PAUSED.value,
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app_id=app_id,
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),
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]
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with patch("models.model.db.session.scalars") as mock_scalars:
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def mock_scalars_side_effect(query):
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mock_result = MagicMock()
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if "messages" in str(query):
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mock_result.all.return_value = mock_messages
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elif "workflow_runs" in str(query):
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mock_result.all.return_value = mock_workflow_runs
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else:
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mock_result.all.return_value = []
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return mock_result
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mock_scalars.side_effect = mock_scalars_side_effect
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# Act
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result = conversation.status_count
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# Assert
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assert result["paused"] == 1
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