WangShen007
54b949b392
The upstream project name is gone from code, assets, docs and build
output: brand strings, domains (replypier.site and its app/api/docs/help
subdomains), env prefixes, image and network names, the widget's public
JS API (window.ReplyPier, replypierId/BaseUrl/Config/Token), CSS tokens
(--rp-*), file and directory names, and the WordPress plugin package.
- widget loader is now webclient/replypier.min.js; both bundles rebuilt
from source (backend/assets/widget.{js,css}, frontend/public/webclient)
- NOTICE, llms.txt, CONTRIBUTING, HELP_CENTER_INFRA and config.dev.js
rewritten rather than string-swapped; the demo config no longer ships
the previous vendor's Firebase/Razorpay/Google keys
- new migration replypier_ai_model_001 adds REPLYPIER to the managed
AIModelType and rewrites pre-rename rows
- local compose project, database, role and volume renamed; LOCAL_DEPLOY
documents carrying the old local data over
183 lines
7.1 KiB
Python
183 lines
7.1 KiB
Python
"""
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Copyright 2024-2026 ReplyPier
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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"""
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import pytest
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from unittest.mock import Mock, patch, AsyncMock
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from app.services.workflow_chat import WorkflowChatService
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from app.agents.chat_agent import ChatResponse
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@pytest.fixture
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def mock_db():
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return Mock()
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@pytest.fixture
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def workflow_chat_service(mock_db):
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return WorkflowChatService(mock_db)
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@pytest.fixture
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def sample_session_data():
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return {
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'agent_id': 'test-agent-id',
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'ai_config': Mock(
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encrypted_api_key='encrypted-key',
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model_name='gpt-4',
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model_type='openai',
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settings={}
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)
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}
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class TestWorkflowChatServiceEndChat:
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@pytest.mark.asyncio
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async def test_handle_workflow_end_chat_with_rating_true(
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self, workflow_chat_service, sample_session_data
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):
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"""Test workflow end chat handling with request_rating=True"""
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# Create response with rating enabled
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response = ChatResponse(
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message="Thank you for chatting with us. Goodbye!",
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transfer_to_human=False,
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transfer_reason=None,
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transfer_description=None,
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end_chat=True,
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request_rating=True, # Rating enabled from workflow config
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create_ticket=False
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)
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# Mock chat agent and its _handle_end_chat method
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mock_chat_agent = Mock()
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mock_chat_agent.safe_cleanup_mcp_tools = AsyncMock()
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mock_updated_response = Mock(spec=ChatResponse)
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mock_updated_response.message = "Thank you for chatting with us. Goodbye!\n\nThank you for chatting with us! Would you please take a moment to rate your experience? Your feedback helps us improve our service."
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mock_updated_response.request_rating = True
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mock_updated_response.end_chat = True
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# Use AsyncMock for the async method
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mock_chat_agent._handle_end_chat = AsyncMock(return_value=mock_updated_response)
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# Mock decrypt_api_key to return a test key
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with patch('app.services.workflow_chat.decrypt_api_key', return_value='test-api-key'):
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with patch('app.services.workflow_chat.ChatAgent.create_async', AsyncMock(return_value=mock_chat_agent)):
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result = await workflow_chat_service._handle_workflow_end_chat(
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response=response,
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session_id="test-session",
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org_id="test-org",
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session=sample_session_data,
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customer_id="test-customer"
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)
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# Verify _handle_end_chat was called with the rating value from response
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mock_chat_agent._handle_end_chat.assert_called_once_with(
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response, "test-session", workflow_chat_service.db, True
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)
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# Verify the result
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assert result == mock_updated_response
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@pytest.mark.asyncio
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async def test_handle_workflow_end_chat_with_rating_false(
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self, workflow_chat_service, sample_session_data
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):
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"""Test workflow end chat handling with request_rating=False"""
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# Create response with rating disabled
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response = ChatResponse(
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message="Thank you for chatting with us. Goodbye!",
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transfer_to_human=False,
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transfer_reason=None,
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transfer_description=None,
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end_chat=True,
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request_rating=False, # Rating disabled from workflow config
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create_ticket=False
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)
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# Mock chat agent and its _handle_end_chat method
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mock_chat_agent = Mock()
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mock_chat_agent.safe_cleanup_mcp_tools = AsyncMock()
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mock_updated_response = Mock(spec=ChatResponse)
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mock_updated_response.message = "Thank you for chatting with us. Goodbye!"
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mock_updated_response.request_rating = False
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mock_updated_response.end_chat = True
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# Use AsyncMock for the async method
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mock_chat_agent._handle_end_chat = AsyncMock(return_value=mock_updated_response)
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# Mock decrypt_api_key to return a test key
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with patch('app.services.workflow_chat.decrypt_api_key', return_value='test-api-key'):
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with patch('app.services.workflow_chat.ChatAgent.create_async', AsyncMock(return_value=mock_chat_agent)):
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result = await workflow_chat_service._handle_workflow_end_chat(
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response=response,
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session_id="test-session",
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org_id="test-org",
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session=sample_session_data,
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customer_id="test-customer"
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)
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# Verify _handle_end_chat was called with the rating value from response
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mock_chat_agent._handle_end_chat.assert_called_once_with(
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response, "test-session", workflow_chat_service.db, False
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)
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# Verify the result
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assert result == mock_updated_response
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@pytest.mark.asyncio
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async def test_handle_workflow_end_chat_creates_chat_agent_correctly(
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self, workflow_chat_service, sample_session_data
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):
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"""Test that ChatAgent is created with correct parameters"""
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response = ChatResponse(
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message="Goodbye!",
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transfer_to_human=False,
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transfer_reason=None,
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transfer_description=None,
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end_chat=True,
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request_rating=True,
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create_ticket=False
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)
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mock_chat_agent = Mock()
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mock_chat_agent.safe_cleanup_mcp_tools = AsyncMock()
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mock_chat_agent._handle_end_chat = AsyncMock(return_value=response)
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with patch('app.services.workflow_chat.ChatAgent.create_async', AsyncMock(return_value=mock_chat_agent)) as mock_create_async:
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with patch('app.services.workflow_chat.decrypt_api_key', return_value='decrypted-key'):
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await workflow_chat_service._handle_workflow_end_chat(
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response=response,
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session_id="test-session",
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org_id="test-org",
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session=sample_session_data,
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customer_id="test-customer"
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)
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# Verify ChatAgent.create_async was called with correct parameters
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mock_create_async.assert_called_once_with(
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api_key='decrypted-key',
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model_name='gpt-4',
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model_type='openai',
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base_url=None,
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org_id="test-org",
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agent_id='test-agent-id',
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customer_id="test-customer",
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session_id="test-session"
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) |