Files
deer-flow/backend/tests/test_suggestions_router.py
null4536251 9d2144d431 feat: may_ask (#981)
* feat: u may ask

* chore: adjust code according to CR

* chore: adjust code according to CR

* ut: test for suggestions.py

---------

Co-authored-by: Willem Jiang <willem.jiang@gmail.com>
2026-03-06 22:39:58 +08:00

66 lines
2.2 KiB
Python

import asyncio
from unittest.mock import MagicMock
from src.gateway.routers import suggestions
def test_strip_markdown_code_fence_removes_wrapping():
text = "```json\n[\"a\"]\n```"
assert suggestions._strip_markdown_code_fence(text) == "[\"a\"]"
def test_strip_markdown_code_fence_no_fence_keeps_content():
text = " [\"a\"] "
assert suggestions._strip_markdown_code_fence(text) == "[\"a\"]"
def test_parse_json_string_list_filters_invalid_items():
text = "```json\n[\"a\", \" \", 1, \"b\"]\n```"
assert suggestions._parse_json_string_list(text) == ["a", "b"]
def test_parse_json_string_list_rejects_non_list():
text = "{\"a\": 1}"
assert suggestions._parse_json_string_list(text) is None
def test_format_conversation_formats_roles():
messages = [
suggestions.SuggestionMessage(role="User", content="Hi"),
suggestions.SuggestionMessage(role="assistant", content="Hello"),
suggestions.SuggestionMessage(role="system", content="note"),
]
assert suggestions._format_conversation(messages) == "User: Hi\nAssistant: Hello\nsystem: note"
def test_generate_suggestions_parses_and_limits(monkeypatch):
req = suggestions.SuggestionsRequest(
messages=[
suggestions.SuggestionMessage(role="user", content="Hi"),
suggestions.SuggestionMessage(role="assistant", content="Hello"),
],
n=3,
model_name=None,
)
fake_model = MagicMock()
fake_model.invoke.return_value = MagicMock(content="```json\n[\"Q1\", \"Q2\", \"Q3\", \"Q4\"]\n```")
monkeypatch.setattr(suggestions, "create_chat_model", lambda **kwargs: fake_model)
result = asyncio.run(suggestions.generate_suggestions("t1", req))
assert result.suggestions == ["Q1", "Q2", "Q3"]
def test_generate_suggestions_returns_empty_on_model_error(monkeypatch):
req = suggestions.SuggestionsRequest(
messages=[suggestions.SuggestionMessage(role="user", content="Hi")],
n=2,
model_name=None,
)
fake_model = MagicMock()
fake_model.invoke.side_effect = RuntimeError("boom")
monkeypatch.setattr(suggestions, "create_chat_model", lambda **kwargs: fake_model)
result = asyncio.run(suggestions.generate_suggestions("t1", req))
assert result.suggestions == []