mirror of
https://github.com/langgenius/dify.git
synced 2026-07-22 03:08:33 +08:00
245 lines
9.6 KiB
Python
245 lines
9.6 KiB
Python
"""Unit tests for feedback exports using SQLite-backed ORM rows.
|
|
|
|
The export query joins five tables and applies its filters in SQL, so these tests
|
|
use a real SQLite session instead of stubbing ``Session.execute`` results.
|
|
"""
|
|
|
|
import json
|
|
from datetime import datetime
|
|
from decimal import Decimal
|
|
from typing import TypedDict
|
|
|
|
import pytest
|
|
from sqlalchemy.orm import Session
|
|
|
|
from models.account import Account
|
|
from models.enums import FeedbackFromSource, FeedbackRating
|
|
from models.model import App, AppMode, Conversation, ConversationFromSource, IconType, Message, MessageFeedback
|
|
from services.feedback_service import FeedbackService
|
|
|
|
APP_ID = "11111111-1111-1111-1111-111111111111"
|
|
TENANT_ID = "22222222-2222-2222-2222-222222222222"
|
|
CONVERSATION_ID = "33333333-3333-3333-3333-333333333333"
|
|
MESSAGE_ID = "44444444-4444-4444-4444-444444444444"
|
|
ACCOUNT_ID = "55555555-5555-5555-5555-555555555555"
|
|
END_USER_ID = "66666666-6666-6666-6666-666666666666"
|
|
|
|
|
|
class FeedbackSample(TypedDict):
|
|
app: App
|
|
conversation: Conversation
|
|
message: Message
|
|
user_feedback: MessageFeedback
|
|
admin_feedback: MessageFeedback
|
|
|
|
|
|
@pytest.fixture
|
|
def sample_data(sqlite_session: Session) -> FeedbackSample:
|
|
"""Persist a complete user/admin feedback graph for export queries."""
|
|
|
|
app = App(
|
|
tenant_id=TENANT_ID,
|
|
name="Test App",
|
|
description="",
|
|
mode=AppMode.CHAT,
|
|
icon_type=IconType.EMOJI,
|
|
icon="🤖",
|
|
icon_background="#FFFFFF",
|
|
enable_site=False,
|
|
enable_api=False,
|
|
max_active_requests=0,
|
|
)
|
|
app.id = APP_ID
|
|
conversation = Conversation(
|
|
app_id=APP_ID,
|
|
mode=AppMode.CHAT,
|
|
name="Test Conversation",
|
|
from_source=ConversationFromSource.API,
|
|
from_end_user_id=END_USER_ID,
|
|
)
|
|
conversation.id = CONVERSATION_ID
|
|
conversation._inputs = {}
|
|
message = Message(
|
|
app_id=APP_ID,
|
|
conversation_id=CONVERSATION_ID,
|
|
query="What is AI?",
|
|
message={"role": "user", "content": "What is AI?"},
|
|
answer="AI is artificial intelligence.",
|
|
message_unit_price=Decimal(0),
|
|
answer_unit_price=Decimal(0),
|
|
currency="USD",
|
|
from_source=ConversationFromSource.API,
|
|
from_end_user_id=END_USER_ID,
|
|
created_at=datetime(2024, 1, 1, 10, 0, 0),
|
|
)
|
|
message.id = MESSAGE_ID
|
|
message._inputs = {"query": "What is AI?"}
|
|
account = Account(name="Admin User", email="admin@example.com")
|
|
account.id = ACCOUNT_ID
|
|
user_feedback = MessageFeedback(
|
|
app_id=APP_ID,
|
|
conversation_id=CONVERSATION_ID,
|
|
message_id=MESSAGE_ID,
|
|
rating=FeedbackRating.LIKE,
|
|
from_source=FeedbackFromSource.USER,
|
|
content="Great answer!",
|
|
from_end_user_id=END_USER_ID,
|
|
)
|
|
user_feedback.created_at = datetime(2024, 1, 1, 10, 5, 0)
|
|
admin_feedback = MessageFeedback(
|
|
app_id=APP_ID,
|
|
conversation_id=CONVERSATION_ID,
|
|
message_id=MESSAGE_ID,
|
|
rating=FeedbackRating.DISLIKE,
|
|
from_source=FeedbackFromSource.ADMIN,
|
|
content="Could be more detailed",
|
|
from_account_id=ACCOUNT_ID,
|
|
)
|
|
admin_feedback.created_at = datetime(2024, 1, 1, 10, 10, 0)
|
|
sqlite_session.add_all([app, conversation, message, account, user_feedback, admin_feedback])
|
|
sqlite_session.commit()
|
|
return {
|
|
"app": app,
|
|
"conversation": conversation,
|
|
"message": message,
|
|
"user_feedback": user_feedback,
|
|
"admin_feedback": admin_feedback,
|
|
}
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
"sqlite_session",
|
|
[(App, Conversation, Message, MessageFeedback, Account)],
|
|
indirect=True,
|
|
)
|
|
class TestFeedbackService:
|
|
"""Exercise feedback export formatting and its database-side filters."""
|
|
|
|
def test_export_feedbacks_csv_format(self, sqlite_session: Session, sample_data: FeedbackSample) -> None:
|
|
result = FeedbackService.export_feedbacks(
|
|
app_id=APP_ID,
|
|
session=sqlite_session,
|
|
from_source=FeedbackFromSource.USER,
|
|
format_type="csv",
|
|
)
|
|
|
|
assert "text/csv" in result.headers["Content-Type"]
|
|
assert "attachment" in result.headers["Content-Disposition"]
|
|
csv_content = result.get_data(as_text=True)
|
|
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
|
|
assert sample_data["user_feedback"].content in csv_content
|
|
assert sample_data["admin_feedback"].content not in csv_content
|
|
|
|
def test_export_feedbacks_json_format(self, sqlite_session: Session, sample_data: FeedbackSample) -> None:
|
|
result = FeedbackService.export_feedbacks(
|
|
app_id=APP_ID,
|
|
session=sqlite_session,
|
|
from_source=FeedbackFromSource.ADMIN,
|
|
format_type="json",
|
|
)
|
|
|
|
assert "application/json" in result.headers["Content-Type"]
|
|
assert "attachment" in result.headers["Content-Disposition"]
|
|
json_content = json.loads(result.get_data(as_text=True))
|
|
assert json_content["export_info"]["app_id"] == APP_ID
|
|
assert json_content["export_info"]["total_records"] == 1
|
|
assert json_content["feedback_data"][0]["from_account_name"] == "Admin User"
|
|
|
|
def test_export_feedbacks_with_filters(self, sqlite_session: Session, sample_data: FeedbackSample) -> None:
|
|
result = FeedbackService.export_feedbacks(
|
|
app_id=APP_ID,
|
|
session=sqlite_session,
|
|
from_source=FeedbackFromSource.ADMIN,
|
|
rating=FeedbackRating.DISLIKE,
|
|
has_comment=True,
|
|
start_date="2024-01-01",
|
|
end_date="2024-12-31",
|
|
format_type="csv",
|
|
)
|
|
|
|
csv_content = result.get_data(as_text=True)
|
|
assert sample_data["admin_feedback"].content in csv_content
|
|
assert sample_data["user_feedback"].content not in csv_content
|
|
assert len([line for line in csv_content.strip().splitlines() if line.strip()]) == 2
|
|
|
|
def test_export_feedbacks_no_data(self, sqlite_session: Session, sample_data: FeedbackSample) -> None:
|
|
result = FeedbackService.export_feedbacks(
|
|
app_id="77777777-7777-7777-7777-777777777777",
|
|
session=sqlite_session,
|
|
format_type="csv",
|
|
)
|
|
|
|
csv_content = result.get_data(as_text=True)
|
|
assert "text/csv" in result.headers["Content-Type"]
|
|
assert "feedback_id" in csv_content
|
|
assert "app_name" in csv_content
|
|
assert "conversation_id" in csv_content
|
|
assert len([line for line in csv_content.strip().splitlines() if line.strip()]) == 1
|
|
|
|
def test_export_feedbacks_invalid_date_format(self, sqlite_session: Session, sample_data: FeedbackSample) -> None:
|
|
with pytest.raises(ValueError, match="Invalid start_date format"):
|
|
FeedbackService.export_feedbacks(
|
|
app_id=APP_ID,
|
|
session=sqlite_session,
|
|
start_date="invalid-date-format",
|
|
)
|
|
|
|
with pytest.raises(ValueError, match="Invalid end_date format"):
|
|
FeedbackService.export_feedbacks(
|
|
app_id=APP_ID,
|
|
session=sqlite_session,
|
|
end_date="invalid-date-format",
|
|
)
|
|
|
|
def test_export_feedbacks_invalid_format(self, sqlite_session: Session, sample_data: FeedbackSample) -> None:
|
|
with pytest.raises(ValueError, match="Unsupported format"):
|
|
FeedbackService.export_feedbacks(app_id=APP_ID, session=sqlite_session, format_type="xml")
|
|
|
|
def test_export_feedbacks_long_response_truncation(
|
|
self, sqlite_session: Session, sample_data: FeedbackSample
|
|
) -> None:
|
|
sample_data["message"].answer = "A" * 600
|
|
sqlite_session.commit()
|
|
|
|
result = FeedbackService.export_feedbacks(
|
|
app_id=APP_ID,
|
|
session=sqlite_session,
|
|
from_source=FeedbackFromSource.USER,
|
|
format_type="json",
|
|
)
|
|
|
|
exported_answer = json.loads(result.get_data(as_text=True))["feedback_data"][0]["ai_response"]
|
|
assert exported_answer == "A" * 500 + "..."
|
|
|
|
def test_export_feedbacks_unicode_content(self, sqlite_session: Session, sample_data: FeedbackSample) -> None:
|
|
sample_data["message"].query = "什么是人工智能？"
|
|
sample_data["message"].answer = "人工智能是模拟人类智能的技术。"
|
|
sample_data["user_feedback"].content = "回答不够详细，需要更多信息"
|
|
sqlite_session.commit()
|
|
|
|
result = FeedbackService.export_feedbacks(
|
|
app_id=APP_ID,
|
|
session=sqlite_session,
|
|
from_source=FeedbackFromSource.USER,
|
|
format_type="csv",
|
|
)
|
|
|
|
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, sqlite_session: Session, sample_data: FeedbackSample) -> None:
|
|
result = FeedbackService.export_feedbacks(app_id=APP_ID, session=sqlite_session, format_type="json")
|
|
|
|
feedback_data = json.loads(result.get_data(as_text=True))["feedback_data"]
|
|
assert len(feedback_data) == 2
|
|
like_feedback = next(item for item in feedback_data if item["feedback_rating_raw"] == "like")
|
|
dislike_feedback = next(item for item in feedback_data if item["feedback_rating_raw"] == "dislike")
|
|
assert like_feedback["feedback_rating"] == "👍"
|
|
assert dislike_feedback["feedback_rating"] == "👎"
|