fix: fix feedback like or dislike not display in logs (#28652)

api/controllers/console/app/message.py

@@ -369,6 +369,58 @@ class MessageSuggestedQuestionApi(Resource):
         return {"data": questions}
 
 
+# Shared parser for feedback export (used for both documentation and runtime parsing)
+feedback_export_parser = (
+    console_ns.parser()
+    .add_argument("from_source", type=str, choices=["user", "admin"], location="args", help="Filter by feedback source")
+    .add_argument("rating", type=str, choices=["like", "dislike"], location="args", help="Filter by rating")
+    .add_argument("has_comment", type=bool, location="args", help="Only include feedback with comments")
+    .add_argument("start_date", type=str, location="args", help="Start date (YYYY-MM-DD)")
+    .add_argument("end_date", type=str, location="args", help="End date (YYYY-MM-DD)")
+    .add_argument("format", type=str, choices=["csv", "json"], default="csv", location="args", help="Export format")
+)
+
+
+@console_ns.route("/apps/<uuid:app_id>/feedbacks/export")
+class MessageFeedbackExportApi(Resource):
+    @console_ns.doc("export_feedbacks")
+    @console_ns.doc(description="Export user feedback data for Google Sheets")
+    @console_ns.doc(params={"app_id": "Application ID"})
+    @console_ns.expect(feedback_export_parser)
+    @console_ns.response(200, "Feedback data exported successfully")
+    @console_ns.response(400, "Invalid parameters")
+    @console_ns.response(500, "Internal server error")
+    @get_app_model
+    @setup_required
+    @login_required
+    @account_initialization_required
+    def get(self, app_model):
+        args = feedback_export_parser.parse_args()
+
+        # Import the service function
+        from services.feedback_service import FeedbackService
+
+        try:
+            export_data = FeedbackService.export_feedbacks(
+                app_id=app_model.id,
+                from_source=args.get("from_source"),
+                rating=args.get("rating"),
+                has_comment=args.get("has_comment"),
+                start_date=args.get("start_date"),
+                end_date=args.get("end_date"),
+                format_type=args.get("format", "csv"),
+            )
+
+            return export_data
+
+        except ValueError as e:
+            logger.exception("Parameter validation error in feedback export")
+            return {"error": f"Parameter validation error: {str(e)}"}, 400
+        except Exception as e:
+            logger.exception("Error exporting feedback data")
+            raise InternalServerError(str(e))
+
+
 @console_ns.route("/apps/<uuid:app_id>/messages/<uuid:message_id>")
 class MessageApi(Resource):
     @console_ns.doc("get_message")

api/services/feedback_service.py

@@ -0,0 +1,185 @@
+import csv
+import io
+import json
+from datetime import datetime
+
+from flask import Response
+from sqlalchemy import or_
+
+from extensions.ext_database import db
+from models.model import Account, App, Conversation, Message, MessageFeedback
+
+
+class FeedbackService:
+    @staticmethod
+    def export_feedbacks(
+        app_id: str,
+        from_source: str | None = None,
+        rating: str | None = None,
+        has_comment: bool | None = None,
+        start_date: str | None = None,
+        end_date: str | None = None,
+        format_type: str = "csv",
+    ):
+        """
+        Export feedback data with message details for analysis
+
+        Args:
+            app_id: Application ID
+            from_source: Filter by feedback source ('user' or 'admin')
+            rating: Filter by rating ('like' or 'dislike')
+            has_comment: Only include feedback with comments
+            start_date: Start date filter (YYYY-MM-DD)
+            end_date: End date filter (YYYY-MM-DD)
+            format_type: Export format ('csv' or 'json')
+        """
+
+        # Validate format early to avoid hitting DB when unnecessary
+        fmt = (format_type or "csv").lower()
+        if fmt not in {"csv", "json"}:
+            raise ValueError(f"Unsupported format: {format_type}")
+
+        # Build base query
+        query = (
+            db.session.query(MessageFeedback, Message, Conversation, App, Account)
+            .join(Message, MessageFeedback.message_id == Message.id)
+            .join(Conversation, MessageFeedback.conversation_id == Conversation.id)
+            .join(App, MessageFeedback.app_id == App.id)
+            .outerjoin(Account, MessageFeedback.from_account_id == Account.id)
+            .where(MessageFeedback.app_id == app_id)
+        )
+
+        # Apply filters
+        if from_source:
+            query = query.filter(MessageFeedback.from_source == from_source)
+
+        if rating:
+            query = query.filter(MessageFeedback.rating == rating)
+
+        if has_comment is not None:
+            if has_comment:
+                query = query.filter(MessageFeedback.content.isnot(None), MessageFeedback.content != "")
+            else:
+                query = query.filter(or_(MessageFeedback.content.is_(None), MessageFeedback.content == ""))
+
+        if start_date:
+            try:
+                start_dt = datetime.strptime(start_date, "%Y-%m-%d")
+                query = query.filter(MessageFeedback.created_at >= start_dt)
+            except ValueError:
+                raise ValueError(f"Invalid start_date format: {start_date}. Use YYYY-MM-DD")
+
+        if end_date:
+            try:
+                end_dt = datetime.strptime(end_date, "%Y-%m-%d")
+                query = query.filter(MessageFeedback.created_at <= end_dt)
+            except ValueError:
+                raise ValueError(f"Invalid end_date format: {end_date}. Use YYYY-MM-DD")
+
+        # Order by creation date (newest first)
+        query = query.order_by(MessageFeedback.created_at.desc())
+
+        # Execute query
+        results = query.all()
+
+        # Prepare data for export
+        export_data = []
+        for feedback, message, conversation, app, account in results:
+            # Get the user query from the message
+            user_query = message.query or message.inputs.get("query", "") if message.inputs else ""
+
+            # Format the feedback data
+            feedback_record = {
+                "feedback_id": str(feedback.id),
+                "app_name": app.name,
+                "app_id": str(app.id),
+                "conversation_id": str(conversation.id),
+                "conversation_name": conversation.name or "",
+                "message_id": str(message.id),
+                "user_query": user_query,
+                "ai_response": message.answer[:500] + "..."
+                if len(message.answer) > 500
+                else message.answer,  # Truncate long responses
+                "feedback_rating": "👍" if feedback.rating == "like" else "👎",
+                "feedback_rating_raw": feedback.rating,
+                "feedback_comment": feedback.content or "",
+                "feedback_source": feedback.from_source,
+                "feedback_date": feedback.created_at.strftime("%Y-%m-%d %H:%M:%S"),
+                "message_date": message.created_at.strftime("%Y-%m-%d %H:%M:%S"),
+                "from_account_name": account.name if account else "",
+                "from_end_user_id": str(feedback.from_end_user_id) if feedback.from_end_user_id else "",
+                "has_comment": "Yes" if feedback.content and feedback.content.strip() else "No",
+            }
+            export_data.append(feedback_record)
+
+        # Export based on format
+        if fmt == "csv":
+            return FeedbackService._export_csv(export_data, app_id)
+        else:  # fmt == "json"
+            return FeedbackService._export_json(export_data, app_id)
+
+    @staticmethod
+    def _export_csv(data, app_id):
+        """Export data as CSV"""
+        if not data:
+            pass  # allow empty CSV with headers only
+
+        # Create CSV in memory
+        output = io.StringIO()
+
+        # Define headers
+        headers = [
+            "feedback_id",
+            "app_name",
+            "app_id",
+            "conversation_id",
+            "conversation_name",
+            "message_id",
+            "user_query",
+            "ai_response",
+            "feedback_rating",
+            "feedback_rating_raw",
+            "feedback_comment",
+            "feedback_source",
+            "feedback_date",
+            "message_date",
+            "from_account_name",
+            "from_end_user_id",
+            "has_comment",
+        ]
+
+        writer = csv.DictWriter(output, fieldnames=headers)
+        writer.writeheader()
+        writer.writerows(data)
+
+        # Create response without requiring app context
+        response = Response(output.getvalue(), mimetype="text/csv; charset=utf-8-sig")
+        response.headers["Content-Disposition"] = (
+            f"attachment; filename=dify_feedback_export_{app_id}_{datetime.now().strftime('%Y%m%d_%H%M%S')}.csv"
+        )
+
+        return response
+
+    @staticmethod
+    def _export_json(data, app_id):
+        """Export data as JSON"""
+        response_data = {
+            "export_info": {
+                "app_id": app_id,
+                "export_date": datetime.now().isoformat(),
+                "total_records": len(data),
+                "data_source": "dify_feedback_export",
+            },
+            "feedback_data": data,
+        }
+
+        # Create response without requiring app context
+        response = Response(
+            json.dumps(response_data, ensure_ascii=False, indent=2),
+            mimetype="application/json; charset=utf-8",
+        )
+        response.headers["Content-Disposition"] = (
+            f"attachment; filename=dify_feedback_export_{app_id}_{datetime.now().strftime('%Y%m%d_%H%M%S')}.json"
+        )
+
+        return response

api/tests/integration_tests/controllers/console/app/test_feedback_api_basic.py

@@ -0,0 +1,106 @@
+"""Basic integration tests for Feedback API endpoints."""
+
+import uuid
+
+from flask.testing import FlaskClient
+
+
+class TestFeedbackApiBasic:
+    """Basic tests for feedback API endpoints."""
+
+    def test_feedback_export_endpoint_exists(self, test_client: FlaskClient, auth_header):
+        """Test that feedback export endpoint exists and handles basic requests."""
+
+        app_id = str(uuid.uuid4())
+
+        # Test endpoint exists (even if it fails, it should return 500 or 403, not 404)
+        response = test_client.get(
+            f"/console/api/apps/{app_id}/feedbacks/export", headers=auth_header, query_string={"format": "csv"}
+        )
+
+        # Should not return 404 (endpoint exists)
+        assert response.status_code != 404
+
+        # Should return authentication or permission error
+        assert response.status_code in [401, 403, 500]  # 500 if app doesn't exist, 403 if no permission
+
+    def test_feedback_summary_endpoint_exists(self, test_client: FlaskClient, auth_header):
+        """Test that feedback summary endpoint exists and handles basic requests."""
+
+        app_id = str(uuid.uuid4())
+
+        # Test endpoint exists
+        response = test_client.get(f"/console/api/apps/{app_id}/feedbacks/summary", headers=auth_header)
+
+        # Should not return 404 (endpoint exists)
+        assert response.status_code != 404
+
+        # Should return authentication or permission error
+        assert response.status_code in [401, 403, 500]
+
+    def test_feedback_export_invalid_format(self, test_client: FlaskClient, auth_header):
+        """Test feedback export endpoint with invalid format parameter."""
+
+        app_id = str(uuid.uuid4())
+
+        # Test with invalid format
+        response = test_client.get(
+            f"/console/api/apps/{app_id}/feedbacks/export",
+            headers=auth_header,
+            query_string={"format": "invalid_format"},
+        )
+
+        # Should not return 404
+        assert response.status_code != 404
+
+    def test_feedback_export_with_filters(self, test_client: FlaskClient, auth_header):
+        """Test feedback export endpoint with various filter parameters."""
+
+        app_id = str(uuid.uuid4())
+
+        # Test with various filter combinations
+        filter_params = [
+            {"from_source": "user"},
+            {"rating": "like"},
+            {"has_comment": True},
+            {"start_date": "2024-01-01"},
+            {"end_date": "2024-12-31"},
+            {"format": "json"},
+            {
+                "from_source": "admin",
+                "rating": "dislike",
+                "has_comment": True,
+                "start_date": "2024-01-01",
+                "end_date": "2024-12-31",
+                "format": "csv",
+            },
+        ]
+
+        for params in filter_params:
+            response = test_client.get(
+                f"/console/api/apps/{app_id}/feedbacks/export", headers=auth_header, query_string=params
+            )
+
+            # Should not return 404
+            assert response.status_code != 404
+
+    def test_feedback_export_invalid_dates(self, test_client: FlaskClient, auth_header):
+        """Test feedback export endpoint with invalid date formats."""
+
+        app_id = str(uuid.uuid4())
+
+        # Test with invalid date formats
+        invalid_dates = [
+            {"start_date": "invalid-date"},
+            {"end_date": "not-a-date"},
+            {"start_date": "2024-13-01"},  # Invalid month
+            {"end_date": "2024-12-32"},  # Invalid day
+        ]
+
+        for params in invalid_dates:
+            response = test_client.get(
+                f"/console/api/apps/{app_id}/feedbacks/export", headers=auth_header, query_string=params
+            )
+
+            # Should not return 404
+            assert response.status_code != 404

api/tests/integration_tests/controllers/console/app/test_feedback_export_api.py

@@ -0,0 +1,334 @@
+"""Integration tests for Feedback Export API endpoints."""
+
+import json
+import uuid
+from datetime import datetime
+from types import SimpleNamespace
+from unittest import mock
+
+import pytest
+from flask.testing import FlaskClient
+
+from controllers.console.app import message as message_api
+from controllers.console.app import wraps
+from libs.datetime_utils import naive_utc_now
+from models import App, Tenant
+from models.account import Account, TenantAccountJoin, TenantAccountRole
+from models.model import AppMode, MessageFeedback
+from services.feedback_service import FeedbackService
+
+
+class TestFeedbackExportApi:
+    """Test feedback export API endpoints."""
+
+    @pytest.fixture
+    def mock_app_model(self):
+        """Create a mock App model for testing."""
+        app = App()
+        app.id = str(uuid.uuid4())
+        app.mode = AppMode.CHAT
+        app.tenant_id = str(uuid.uuid4())
+        app.status = "normal"
+        app.name = "Test App"
+        return app
+
+    @pytest.fixture
+    def mock_account(self, monkeypatch: pytest.MonkeyPatch):
+        """Create a mock Account for testing."""
+        account = Account(
+            name="Test User",
+            email="test@example.com",
+        )
+        account.last_active_at = naive_utc_now()
+        account.created_at = naive_utc_now()
+        account.updated_at = naive_utc_now()
+        account.id = str(uuid.uuid4())
+
+        # Create mock tenant
+        tenant = Tenant(name="Test Tenant")
+        tenant.id = str(uuid.uuid4())
+
+        mock_session_instance = mock.Mock()
+
+        mock_tenant_join = TenantAccountJoin(role=TenantAccountRole.OWNER)
+        monkeypatch.setattr(mock_session_instance, "scalar", mock.Mock(return_value=mock_tenant_join))
+
+        mock_scalars_result = mock.Mock()
+        mock_scalars_result.one.return_value = tenant
+        monkeypatch.setattr(mock_session_instance, "scalars", mock.Mock(return_value=mock_scalars_result))
+
+        mock_session_context = mock.Mock()
+        mock_session_context.__enter__.return_value = mock_session_instance
+        monkeypatch.setattr("models.account.Session", lambda _, expire_on_commit: mock_session_context)
+
+        account.current_tenant = tenant
+        return account
+
+    @pytest.fixture
+    def sample_feedback_data(self):
+        """Create sample feedback data for testing."""
+        app_id = str(uuid.uuid4())
+        conversation_id = str(uuid.uuid4())
+        message_id = str(uuid.uuid4())
+
+        # Mock feedback data
+        user_feedback = MessageFeedback(
+            id=str(uuid.uuid4()),
+            app_id=app_id,
+            conversation_id=conversation_id,
+            message_id=message_id,
+            rating="like",
+            from_source="user",
+            content=None,
+            from_end_user_id=str(uuid.uuid4()),
+            from_account_id=None,
+            created_at=naive_utc_now(),
+        )
+
+        admin_feedback = MessageFeedback(
+            id=str(uuid.uuid4()),
+            app_id=app_id,
+            conversation_id=conversation_id,
+            message_id=message_id,
+            rating="dislike",
+            from_source="admin",
+            content="The response was not helpful",
+            from_end_user_id=None,
+            from_account_id=str(uuid.uuid4()),
+            created_at=naive_utc_now(),
+        )
+
+        # Mock message and conversation
+        mock_message = SimpleNamespace(
+            id=message_id,
+            conversation_id=conversation_id,
+            query="What is the weather today?",
+            answer="It's sunny and 25 degrees outside.",
+            inputs={"query": "What is the weather today?"},
+            created_at=naive_utc_now(),
+        )
+
+        mock_conversation = SimpleNamespace(id=conversation_id, name="Weather Conversation", app_id=app_id)
+
+        mock_app = SimpleNamespace(id=app_id, name="Weather App")
+
+        return {
+            "user_feedback": user_feedback,
+            "admin_feedback": admin_feedback,
+            "message": mock_message,
+            "conversation": mock_conversation,
+            "app": mock_app,
+        }
+
+    @pytest.mark.parametrize(
+        ("role", "status"),
+        [
+            (TenantAccountRole.OWNER, 200),
+            (TenantAccountRole.ADMIN, 200),
+            (TenantAccountRole.EDITOR, 200),
+            (TenantAccountRole.NORMAL, 403),
+            (TenantAccountRole.DATASET_OPERATOR, 403),
+        ],
+    )
+    def test_feedback_export_permissions(
+        self,
+        test_client: FlaskClient,
+        auth_header,
+        monkeypatch,
+        mock_app_model,
+        mock_account,
+        role: TenantAccountRole,
+        status: int,
+    ):
+        """Test feedback export endpoint permissions."""
+
+        # Setup mocks
+        mock_load_app_model = mock.Mock(return_value=mock_app_model)
+        monkeypatch.setattr(wraps, "_load_app_model", mock_load_app_model)
+
+        mock_export_feedbacks = mock.Mock(return_value="mock csv response")
+        monkeypatch.setattr(FeedbackService, "export_feedbacks", mock_export_feedbacks)
+
+        monkeypatch.setattr(message_api, "current_user", mock_account)
+
+        # Set user role
+        mock_account.role = role
+
+        response = test_client.get(
+            f"/console/api/apps/{mock_app_model.id}/feedbacks/export",
+            headers=auth_header,
+            query_string={"format": "csv"},
+        )
+
+        assert response.status_code == status
+
+        if status == 200:
+            mock_export_feedbacks.assert_called_once()
+
+    def test_feedback_export_csv_format(
+        self, test_client: FlaskClient, auth_header, monkeypatch, mock_app_model, mock_account, sample_feedback_data
+    ):
+        """Test feedback export in CSV format."""
+
+        # Setup mocks
+        mock_load_app_model = mock.Mock(return_value=mock_app_model)
+        monkeypatch.setattr(wraps, "_load_app_model", mock_load_app_model)
+
+        # Create mock CSV response
+        mock_csv_content = (
+            "feedback_id,app_name,conversation_id,user_query,ai_response,feedback_rating,feedback_comment\n"
+        )
+        mock_csv_content += f"{sample_feedback_data['user_feedback'].id},{sample_feedback_data['app'].name},"
+        mock_csv_content += f"{sample_feedback_data['conversation'].id},{sample_feedback_data['message'].query},"
+        mock_csv_content += f"{sample_feedback_data['message'].answer},👍,\n"
+
+        mock_response = mock.Mock()
+        mock_response.headers = {"Content-Type": "text/csv; charset=utf-8-sig"}
+        mock_response.data = mock_csv_content.encode("utf-8")
+
+        mock_export_feedbacks = mock.Mock(return_value=mock_response)
+        monkeypatch.setattr(FeedbackService, "export_feedbacks", mock_export_feedbacks)
+
+        monkeypatch.setattr(message_api, "current_user", mock_account)
+
+        response = test_client.get(
+            f"/console/api/apps/{mock_app_model.id}/feedbacks/export",
+            headers=auth_header,
+            query_string={"format": "csv", "from_source": "user"},
+        )
+
+        assert response.status_code == 200
+        assert "text/csv" in response.content_type
+
+    def test_feedback_export_json_format(
+        self, test_client: FlaskClient, auth_header, monkeypatch, mock_app_model, mock_account, sample_feedback_data
+    ):
+        """Test feedback export in JSON format."""
+
+        # Setup mocks
+        mock_load_app_model = mock.Mock(return_value=mock_app_model)
+        monkeypatch.setattr(wraps, "_load_app_model", mock_load_app_model)
+
+        mock_json_response = {
+            "export_info": {
+                "app_id": mock_app_model.id,
+                "export_date": datetime.now().isoformat(),
+                "total_records": 2,
+                "data_source": "dify_feedback_export",
+            },
+            "feedback_data": [
+                {
+                    "feedback_id": sample_feedback_data["user_feedback"].id,
+                    "feedback_rating": "👍",
+                    "feedback_rating_raw": "like",
+                    "feedback_comment": "",
+                }
+            ],
+        }
+
+        mock_response = mock.Mock()
+        mock_response.headers = {"Content-Type": "application/json; charset=utf-8"}
+        mock_response.data = json.dumps(mock_json_response).encode("utf-8")
+
+        mock_export_feedbacks = mock.Mock(return_value=mock_response)
+        monkeypatch.setattr(FeedbackService, "export_feedbacks", mock_export_feedbacks)
+
+        monkeypatch.setattr(message_api, "current_user", mock_account)
+
+        response = test_client.get(
+            f"/console/api/apps/{mock_app_model.id}/feedbacks/export",
+            headers=auth_header,
+            query_string={"format": "json"},
+        )
+
+        assert response.status_code == 200
+        assert "application/json" in response.content_type
+
+    def test_feedback_export_with_filters(
+        self, test_client: FlaskClient, auth_header, monkeypatch, mock_app_model, mock_account
+    ):
+        """Test feedback export with various filters."""
+
+        # Setup mocks
+        mock_load_app_model = mock.Mock(return_value=mock_app_model)
+        monkeypatch.setattr(wraps, "_load_app_model", mock_load_app_model)
+
+        mock_export_feedbacks = mock.Mock(return_value="mock filtered response")
+        monkeypatch.setattr(FeedbackService, "export_feedbacks", mock_export_feedbacks)
+
+        monkeypatch.setattr(message_api, "current_user", mock_account)
+
+        # Test with multiple filters
+        response = test_client.get(
+            f"/console/api/apps/{mock_app_model.id}/feedbacks/export",
+            headers=auth_header,
+            query_string={
+                "from_source": "user",
+                "rating": "dislike",
+                "has_comment": True,
+                "start_date": "2024-01-01",
+                "end_date": "2024-12-31",
+                "format": "csv",
+            },
+        )
+
+        assert response.status_code == 200
+
+        # Verify service was called with correct parameters
+        mock_export_feedbacks.assert_called_once_with(
+            app_id=mock_app_model.id,
+            from_source="user",
+            rating="dislike",
+            has_comment=True,
+            start_date="2024-01-01",
+            end_date="2024-12-31",
+            format_type="csv",
+        )
+
+    def test_feedback_export_invalid_date_format(
+        self, test_client: FlaskClient, auth_header, monkeypatch, mock_app_model, mock_account
+    ):
+        """Test feedback export with invalid date format."""
+
+        # Setup mocks
+        mock_load_app_model = mock.Mock(return_value=mock_app_model)
+        monkeypatch.setattr(wraps, "_load_app_model", mock_load_app_model)
+
+        # Mock the service to raise ValueError for invalid date
+        mock_export_feedbacks = mock.Mock(side_effect=ValueError("Invalid date format"))
+        monkeypatch.setattr(FeedbackService, "export_feedbacks", mock_export_feedbacks)
+
+        monkeypatch.setattr(message_api, "current_user", mock_account)
+
+        response = test_client.get(
+            f"/console/api/apps/{mock_app_model.id}/feedbacks/export",
+            headers=auth_header,
+            query_string={"start_date": "invalid-date", "format": "csv"},
+        )
+
+        assert response.status_code == 400
+        response_json = response.get_json()
+        assert "Parameter validation error" in response_json["error"]
+
+    def test_feedback_export_server_error(
+        self, test_client: FlaskClient, auth_header, monkeypatch, mock_app_model, mock_account
+    ):
+        """Test feedback export with server error."""
+
+        # Setup mocks
+        mock_load_app_model = mock.Mock(return_value=mock_app_model)
+        monkeypatch.setattr(wraps, "_load_app_model", mock_load_app_model)
+
+        # Mock the service to raise an exception
+        mock_export_feedbacks = mock.Mock(side_effect=Exception("Database connection failed"))
+        monkeypatch.setattr(FeedbackService, "export_feedbacks", mock_export_feedbacks)
+
+        monkeypatch.setattr(message_api, "current_user", mock_account)
+
+        response = test_client.get(
+            f"/console/api/apps/{mock_app_model.id}/feedbacks/export",
+            headers=auth_header,
+            query_string={"format": "csv"},
+        )
+
+        assert response.status_code == 500

api/tests/test_containers_integration_tests/services/test_feedback_service.py

@@ -0,0 +1,386 @@
+"""Unit tests for FeedbackService."""
+
+import json
+from datetime import datetime
+from types import SimpleNamespace
+from unittest import mock
+
+import pytest
+
+from extensions.ext_database import db
+from models.model import App, Conversation, Message
+from services.feedback_service import FeedbackService
+
+
+class TestFeedbackService:
+    """Test FeedbackService methods."""
+
+    @pytest.fixture
+    def mock_db_session(self, monkeypatch):
+        """Mock database session."""
+        mock_session = mock.Mock()
+        monkeypatch.setattr(db, "session", mock_session)
+        return mock_session
+
+    @pytest.fixture
+    def sample_data(self):
+        """Create sample data for testing."""
+        app_id = "test-app-id"
+
+        # Create mock models
+        app = App(id=app_id, name="Test App")
+
+        conversation = Conversation(id="test-conversation-id", app_id=app_id, name="Test Conversation")
+
+        message = Message(
+            id="test-message-id",
+            conversation_id="test-conversation-id",
+            query="What is AI?",
+            answer="AI is artificial intelligence.",
+            inputs={"query": "What is AI?"},
+            created_at=datetime(2024, 1, 1, 10, 0, 0),
+        )
+
+        # Use SimpleNamespace to avoid ORM model constructor issues
+        user_feedback = SimpleNamespace(
+            id="user-feedback-id",
+            app_id=app_id,
+            conversation_id="test-conversation-id",
+            message_id="test-message-id",
+            rating="like",
+            from_source="user",
+            content="Great answer!",
+            from_end_user_id="user-123",
+            from_account_id=None,
+            from_account=None,  # Mock account object
+            created_at=datetime(2024, 1, 1, 10, 5, 0),
+        )
+
+        admin_feedback = SimpleNamespace(
+            id="admin-feedback-id",
+            app_id=app_id,
+            conversation_id="test-conversation-id",
+            message_id="test-message-id",
+            rating="dislike",
+            from_source="admin",
+            content="Could be more detailed",
+            from_end_user_id=None,
+            from_account_id="admin-456",
+            from_account=SimpleNamespace(name="Admin User"),  # Mock account object
+            created_at=datetime(2024, 1, 1, 10, 10, 0),
+        )
+
+        return {
+            "app": app,
+            "conversation": conversation,
+            "message": message,
+            "user_feedback": user_feedback,
+            "admin_feedback": admin_feedback,
+        }
+
+    def test_export_feedbacks_csv_format(self, mock_db_session, sample_data):
+        """Test exporting feedback data in CSV format."""
+
+        # Setup mock query result
+        mock_query = mock.Mock()
+        mock_query.join.return_value = mock_query
+        mock_query.outerjoin.return_value = mock_query
+        mock_query.where.return_value = mock_query
+        mock_query.filter.return_value = mock_query
+        mock_query.order_by.return_value = mock_query
+        mock_query.all.return_value = [
+            (
+                sample_data["user_feedback"],
+                sample_data["message"],
+                sample_data["conversation"],
+                sample_data["app"],
+                sample_data["user_feedback"].from_account,
+            )
+        ]
+
+        mock_db_session.query.return_value = mock_query
+
+        # Test CSV export
+        result = FeedbackService.export_feedbacks(app_id=sample_data["app"].id, format_type="csv")
+
+        # Verify response structure
+        assert hasattr(result, "headers")
+        assert "text/csv" in result.headers["Content-Type"]
+        assert "attachment" in result.headers["Content-Disposition"]
+
+        # Check CSV content
+        csv_content = result.get_data(as_text=True)
+        # Verify essential headers exist (order may include additional columns)
+        assert "feedback_id" in csv_content
+        assert "app_name" in csv_content
+        assert "conversation_id" in csv_content
+        assert sample_data["app"].name in csv_content
+        assert sample_data["message"].query in csv_content
+
+    def test_export_feedbacks_json_format(self, mock_db_session, sample_data):
+        """Test exporting feedback data in JSON format."""
+
+        # Setup mock query result
+        mock_query = mock.Mock()
+        mock_query.join.return_value = mock_query
+        mock_query.outerjoin.return_value = mock_query
+        mock_query.where.return_value = mock_query
+        mock_query.filter.return_value = mock_query
+        mock_query.order_by.return_value = mock_query
+        mock_query.all.return_value = [
+            (
+                sample_data["admin_feedback"],
+                sample_data["message"],
+                sample_data["conversation"],
+                sample_data["app"],
+                sample_data["admin_feedback"].from_account,
+            )
+        ]
+
+        mock_db_session.query.return_value = mock_query
+
+        # Test JSON export
+        result = FeedbackService.export_feedbacks(app_id=sample_data["app"].id, format_type="json")
+
+        # Verify response structure
+        assert hasattr(result, "headers")
+        assert "application/json" in result.headers["Content-Type"]
+        assert "attachment" in result.headers["Content-Disposition"]
+
+        # Check JSON content
+        json_content = json.loads(result.get_data(as_text=True))
+        assert "export_info" in json_content
+        assert "feedback_data" in json_content
+        assert json_content["export_info"]["app_id"] == sample_data["app"].id
+        assert json_content["export_info"]["total_records"] == 1
+
+    def test_export_feedbacks_with_filters(self, mock_db_session, sample_data):
+        """Test exporting feedback with various filters."""
+
+        # Setup mock query result
+        mock_query = mock.Mock()
+        mock_query.join.return_value = mock_query
+        mock_query.outerjoin.return_value = mock_query
+        mock_query.where.return_value = mock_query
+        mock_query.filter.return_value = mock_query
+        mock_query.order_by.return_value = mock_query
+        mock_query.all.return_value = [
+            (
+                sample_data["admin_feedback"],
+                sample_data["message"],
+                sample_data["conversation"],
+                sample_data["app"],
+                sample_data["admin_feedback"].from_account,
+            )
+        ]
+
+        mock_db_session.query.return_value = mock_query
+
+        # Test with filters
+        result = FeedbackService.export_feedbacks(
+            app_id=sample_data["app"].id,
+            from_source="admin",
+            rating="dislike",
+            has_comment=True,
+            start_date="2024-01-01",
+            end_date="2024-12-31",
+            format_type="csv",
+        )
+
+        # Verify filters were applied
+        assert mock_query.filter.called
+        filter_calls = mock_query.filter.call_args_list
+        # At least three filter invocations are expected (source, rating, comment)
+        assert len(filter_calls) >= 3
+
+    def test_export_feedbacks_no_data(self, mock_db_session, sample_data):
+        """Test exporting feedback when no data exists."""
+
+        # Setup mock query result with no data
+        mock_query = mock.Mock()
+        mock_query.join.return_value = mock_query
+        mock_query.outerjoin.return_value = mock_query
+        mock_query.where.return_value = mock_query
+        mock_query.filter.return_value = mock_query
+        mock_query.order_by.return_value = mock_query
+        mock_query.all.return_value = []
+
+        mock_db_session.query.return_value = mock_query
+
+        result = FeedbackService.export_feedbacks(app_id=sample_data["app"].id, format_type="csv")
+
+        # Should return an empty CSV with headers only
+        assert hasattr(result, "headers")
+        assert "text/csv" in result.headers["Content-Type"]
+        csv_content = result.get_data(as_text=True)
+        # Headers should exist (order can include additional columns)
+        assert "feedback_id" in csv_content
+        assert "app_name" in csv_content
+        assert "conversation_id" in csv_content
+        # No data rows expected
+        assert len([line for line in csv_content.strip().splitlines() if line.strip()]) == 1
+
+    def test_export_feedbacks_invalid_date_format(self, mock_db_session, sample_data):
+        """Test exporting feedback with invalid date format."""
+
+        # Test with invalid start_date
+        with pytest.raises(ValueError, match="Invalid start_date format"):
+            FeedbackService.export_feedbacks(app_id=sample_data["app"].id, start_date="invalid-date-format")
+
+        # Test with invalid end_date
+        with pytest.raises(ValueError, match="Invalid end_date format"):
+            FeedbackService.export_feedbacks(app_id=sample_data["app"].id, end_date="invalid-date-format")
+
+    def test_export_feedbacks_invalid_format(self, mock_db_session, sample_data):
+        """Test exporting feedback with unsupported format."""
+
+        with pytest.raises(ValueError, match="Unsupported format"):
+            FeedbackService.export_feedbacks(
+                app_id=sample_data["app"].id,
+                format_type="xml",  # Unsupported format
+            )
+
+    def test_export_feedbacks_long_response_truncation(self, mock_db_session, sample_data):
+        """Test that long AI responses are truncated in export."""
+
+        # Create message with long response
+        long_message = Message(
+            id="long-message-id",
+            conversation_id="test-conversation-id",
+            query="What is AI?",
+            answer="A" * 600,  # 600 character response
+            inputs={"query": "What is AI?"},
+            created_at=datetime(2024, 1, 1, 10, 0, 0),
+        )
+
+        # Setup mock query result
+        mock_query = mock.Mock()
+        mock_query.join.return_value = mock_query
+        mock_query.outerjoin.return_value = mock_query
+        mock_query.where.return_value = mock_query
+        mock_query.filter.return_value = mock_query
+        mock_query.order_by.return_value = mock_query
+        mock_query.all.return_value = [
+            (
+                sample_data["user_feedback"],
+                long_message,
+                sample_data["conversation"],
+                sample_data["app"],
+                sample_data["user_feedback"].from_account,
+            )
+        ]
+
+        mock_db_session.query.return_value = mock_query
+
+        # Test export
+        result = FeedbackService.export_feedbacks(app_id=sample_data["app"].id, format_type="json")
+
+        # Check JSON content
+        json_content = json.loads(result.get_data(as_text=True))
+        exported_answer = json_content["feedback_data"][0]["ai_response"]
+
+        # Should be truncated with ellipsis
+        assert len(exported_answer) <= 503  # 500 + "..."
+        assert exported_answer.endswith("...")
+        assert len(exported_answer) > 500  # Should be close to limit
+
+    def test_export_feedbacks_unicode_content(self, mock_db_session, sample_data):
+        """Test exporting feedback with unicode content (Chinese characters)."""
+
+        # Create feedback with Chinese content (use SimpleNamespace to avoid ORM constructor constraints)
+        chinese_feedback = SimpleNamespace(
+            id="chinese-feedback-id",
+            app_id=sample_data["app"].id,
+            conversation_id="test-conversation-id",
+            message_id="test-message-id",
+            rating="dislike",
+            from_source="user",
+            content="回答不够详细，需要更多信息",
+            from_end_user_id="user-123",
+            from_account_id=None,
+            created_at=datetime(2024, 1, 1, 10, 5, 0),
+        )
+
+        # Create Chinese message
+        chinese_message = Message(
+            id="chinese-message-id",
+            conversation_id="test-conversation-id",
+            query="什么是人工智能？",
+            answer="人工智能是模拟人类智能的技术。",
+            inputs={"query": "什么是人工智能？"},
+            created_at=datetime(2024, 1, 1, 10, 0, 0),
+        )
+
+        # Setup mock query result
+        mock_query = mock.Mock()
+        mock_query.join.return_value = mock_query
+        mock_query.outerjoin.return_value = mock_query
+        mock_query.where.return_value = mock_query
+        mock_query.filter.return_value = mock_query
+        mock_query.order_by.return_value = mock_query
+        mock_query.all.return_value = [
+            (
+                chinese_feedback,
+                chinese_message,
+                sample_data["conversation"],
+                sample_data["app"],
+                None,  # No account for user feedback
+            )
+        ]
+
+        mock_db_session.query.return_value = mock_query
+
+        # Test export
+        result = FeedbackService.export_feedbacks(app_id=sample_data["app"].id, format_type="csv")
+
+        # Check that unicode content is preserved
+        csv_content = result.get_data(as_text=True)
+        assert "什么是人工智能？" in csv_content
+        assert "回答不够详细，需要更多信息" in csv_content
+        assert "人工智能是模拟人类智能的技术" in csv_content
+
+    def test_export_feedbacks_emoji_ratings(self, mock_db_session, sample_data):
+        """Test that rating emojis are properly formatted in export."""
+
+        # Setup mock query result with both like and dislike feedback
+        mock_query = mock.Mock()
+        mock_query.join.return_value = mock_query
+        mock_query.outerjoin.return_value = mock_query
+        mock_query.where.return_value = mock_query
+        mock_query.filter.return_value = mock_query
+        mock_query.order_by.return_value = mock_query
+        mock_query.all.return_value = [
+            (
+                sample_data["user_feedback"],
+                sample_data["message"],
+                sample_data["conversation"],
+                sample_data["app"],
+                sample_data["user_feedback"].from_account,
+            ),
+            (
+                sample_data["admin_feedback"],
+                sample_data["message"],
+                sample_data["conversation"],
+                sample_data["app"],
+                sample_data["admin_feedback"].from_account,
+            ),
+        ]
+
+        mock_db_session.query.return_value = mock_query
+
+        # Test export
+        result = FeedbackService.export_feedbacks(app_id=sample_data["app"].id, format_type="json")
+
+        # Check JSON content for emoji ratings
+        json_content = json.loads(result.get_data(as_text=True))
+        feedback_data = json_content["feedback_data"]
+
+        # Should have both feedback records
+        assert len(feedback_data) == 2
+
+        # Check that emojis are properly set
+        like_feedback = next(f for f in feedback_data if f["feedback_rating_raw"] == "like")
+        dislike_feedback = next(f for f in feedback_data if f["feedback_rating_raw"] == "dislike")
+
+        assert like_feedback["feedback_rating"] == "👍"
+        assert dislike_feedback["feedback_rating"] == "👎"

web/app/components/base/chat/chat/answer/operation.tsx

@@ -67,6 +67,10 @@ const Operation: FC<OperationProps> = ({
     agent_thoughts,
   } = item
   const [localFeedback, setLocalFeedback] = useState(config?.supportAnnotation ? adminFeedback : feedback)
+  const [adminLocalFeedback, setAdminLocalFeedback] = useState(adminFeedback)
+
+  // Separate feedback types for display
+  const userFeedback = feedback
 
   const content = useMemo(() => {
     if (agent_thoughts?.length)
@@ -81,6 +85,10 @@ const Operation: FC<OperationProps> = ({
 
     await onFeedback?.(id, { rating, content })
     setLocalFeedback({ rating })
+
+    // Update admin feedback state separately if annotation is supported
+    if (config?.supportAnnotation)
+      setAdminLocalFeedback(rating ? { rating } : undefined)
   }
 
   const handleThumbsDown = () => {
@@ -180,18 +188,53 @@ const Operation: FC<OperationProps> = ({
             )}
           </div>
         )}
-        {!isOpeningStatement && config?.supportFeedback && localFeedback?.rating && onFeedback && (
+        {!isOpeningStatement && config?.supportFeedback && onFeedback && (
           <div className='ml-1 flex items-center gap-0.5 rounded-[10px] border-[0.5px] border-components-actionbar-border bg-components-actionbar-bg p-0.5 shadow-md backdrop-blur-sm'>
-            {localFeedback?.rating === 'like' && (
+            {/* User Feedback Display */}
-              <ActionButton state={ActionButtonState.Active} onClick={() => handleFeedback(null)}>
+            {userFeedback?.rating && (
-                <RiThumbUpLine className='h-4 w-4' />
+              <div className='flex items-center'>
-              </ActionButton>
+                <span className='mr-1 text-xs text-text-tertiary'>User</span>
+                {userFeedback.rating === 'like' ? (
+                  <ActionButton state={ActionButtonState.Active} title={userFeedback.content ? `User liked this response: ${userFeedback.content}` : 'User liked this response'}>
+                    <RiThumbUpLine className='h-3 w-3' />
+                  </ActionButton>
+                ) : (
+                  <ActionButton state={ActionButtonState.Destructive} title={userFeedback.content ? `User disliked this response: ${userFeedback.content}` : 'User disliked this response'}>
+                    <RiThumbDownLine className='h-3 w-3' />
+                  </ActionButton>
+                )}
+              </div>
             )}
-            {localFeedback?.rating === 'dislike' && (
+
-              <ActionButton state={ActionButtonState.Destructive} onClick={() => handleFeedback(null)}>
+            {/* Admin Feedback Controls */}
-                <RiThumbDownLine className='h-4 w-4' />
+            {config?.supportAnnotation && (
-              </ActionButton>
+              <div className='flex items-center'>
+                {userFeedback?.rating && <div className='mx-1 h-3 w-[0.5px] bg-components-actionbar-border' />}
+                {!adminLocalFeedback?.rating ? (
+                  <>
+                    <ActionButton onClick={() => handleFeedback('like')}>
+                      <RiThumbUpLine className='h-4 w-4' />
+                    </ActionButton>
+                    <ActionButton onClick={handleThumbsDown}>
+                      <RiThumbDownLine className='h-4 w-4' />
+                    </ActionButton>
+                  </>
+                ) : (
+                  <>
+                    {adminLocalFeedback.rating === 'like' ? (
+                      <ActionButton state={ActionButtonState.Active} onClick={() => handleFeedback(null)}>
+                        <RiThumbUpLine className='h-4 w-4' />
+                      </ActionButton>
+                    ) : (
+                      <ActionButton state={ActionButtonState.Destructive} onClick={() => handleFeedback(null)}>
+                        <RiThumbDownLine className='h-4 w-4' />
+                      </ActionButton>
+                    )}
+                  </>
+                )}
+              </div>
             )}
+
           </div>
         )}
       </div>