WangShen007
20fef2b9f3
One word everywhere: ReplyPier in UI copy, package and image names, the replypier.site domains (app/api/docs/help), REPLYPIER_* settings and the --rp-* design tokens. - public widget API is window.ReplyPier with replypierId / replypierBaseUrl / replypierConfig / replypierToken, loader at webclient/replypier.min.js; both bundles rebuilt from source - NOTICE, llms.txt, CONTRIBUTING, HELP_CENTER_INFRA and the demo runtime config rewritten; the demo config ships no third-party keys - migration adds the ReplyPier managed model value to the AI model enum - local compose project, database, role, volume and Docker network carry the same name
128 lines
5.3 KiB
Python
128 lines
5.3 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 uuid import uuid4
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from unittest.mock import patch
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from app.repositories.chat import ChatRepository
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from app.models.chat_history import ChatHistory
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from app.models.session_to_agent import SessionToAgent, SessionStatus
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class TestChatSentimentIntegration:
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"""Tests for sentiment analysis integration in ChatRepository."""
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@pytest.fixture
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def chat_repo(self, db):
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return ChatRepository(db)
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@pytest.fixture
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def test_session(self, db, test_organization, test_agent, test_customer):
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session_id = uuid4()
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session = SessionToAgent(
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session_id=session_id,
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agent_id=test_agent.id,
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customer_id=test_customer.id,
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organization_id=test_organization.id,
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status=SessionStatus.OPEN
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)
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db.add(session)
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db.commit()
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db.refresh(session)
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return session
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def test_create_user_message_adds_sentiment(self, chat_repo, test_organization, test_agent, test_customer, test_session):
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"""User messages should have sentiment analysis applied."""
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message = chat_repo.create_message({
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"organization_id": test_organization.id,
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"agent_id": test_agent.id,
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"customer_id": test_customer.id,
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"session_id": test_session.session_id,
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"message": "This is great, thank you so much!",
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"message_type": "user"
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})
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assert message.sentiment_label is not None
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assert message.sentiment_label in ("positive", "neutral", "negative")
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assert message.sentiment_score is not None
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def test_create_bot_message_no_sentiment(self, chat_repo, test_organization, test_agent, test_customer, test_session):
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"""Bot messages should NOT have sentiment analysis."""
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message = chat_repo.create_message({
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"organization_id": test_organization.id,
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"agent_id": test_agent.id,
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"customer_id": test_customer.id,
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"session_id": test_session.session_id,
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"message": "How can I help you today?",
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"message_type": "bot"
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})
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assert message.sentiment_label is None
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assert message.sentiment_score is None
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def test_session_sentiment_updated_after_user_message(self, chat_repo, test_organization, test_agent, test_customer, test_session, db):
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"""Session sentiment should be updated after a user message."""
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chat_repo.create_message({
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"organization_id": test_organization.id,
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"agent_id": test_agent.id,
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"customer_id": test_customer.id,
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"session_id": test_session.session_id,
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"message": "This is terrible and broken, I hate it",
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"message_type": "user"
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})
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db.refresh(test_session)
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assert test_session.sentiment_label is not None
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assert test_session.sentiment_score is not None
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def test_session_sentiment_averages_multiple_messages(self, chat_repo, test_organization, test_agent, test_customer, test_session, db):
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"""Session sentiment should average across multiple user messages."""
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# Send a positive message
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chat_repo.create_message({
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"organization_id": test_organization.id,
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"agent_id": test_agent.id,
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"customer_id": test_customer.id,
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"session_id": test_session.session_id,
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"message": "thanks great awesome wonderful",
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"message_type": "user"
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})
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# Send a negative message
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chat_repo.create_message({
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"organization_id": test_organization.id,
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"agent_id": test_agent.id,
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"customer_id": test_customer.id,
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"session_id": test_session.session_id,
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"message": "terrible awful horrible worst",
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"message_type": "user"
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})
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db.refresh(test_session)
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# With one positive and one negative, session should be near neutral
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assert test_session.sentiment_label is not None
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assert test_session.sentiment_score is not None
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@patch("app.repositories.chat.analyze_sentiment", side_effect=Exception("analysis failed"))
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def test_sentiment_error_does_not_break_message_creation(self, mock_analyze, chat_repo, test_organization, test_agent, test_customer, test_session):
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"""Sentiment analysis errors should not prevent message creation."""
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message = chat_repo.create_message({
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"organization_id": test_organization.id,
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"agent_id": test_agent.id,
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"customer_id": test_customer.id,
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"session_id": test_session.session_id,
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"message": "Hello there",
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"message_type": "user"
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})
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assert message is not None
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assert message.message == "Hello there"
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# Sentiment should be None since analysis failed
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assert message.sentiment_label is None
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