Hera Zhao
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后端: auto_translate/title_case 14个测试 前端: EDITOR_ONLY_TAGS、drop单复数、已下架过滤 11个测试 E2E: en_name title case、删除用户转移配方、管理配方登录引导 Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
109 lines
3.7 KiB
Python
109 lines
3.7 KiB
Python
"""Tests for translate.py auto_translate and main.py title_case."""
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import pytest
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from backend.translate import auto_translate
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# ---------------------------------------------------------------------------
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# title_case (inlined here since it's a trivial helper in main.py)
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# ---------------------------------------------------------------------------
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def title_case(s: str) -> str:
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return s.strip().title() if s else s
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class TestTitleCase:
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def test_basic(self):
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assert title_case("pain relief") == "Pain Relief"
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def test_single_word(self):
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assert title_case("sleep") == "Sleep"
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def test_preserves_already_cased(self):
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assert title_case("Pain Relief") == "Pain Relief"
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def test_empty_string(self):
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assert title_case("") == ""
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def test_none(self):
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assert title_case(None) is None
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def test_strips_whitespace(self):
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assert title_case(" hello world ") == "Hello World"
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# ---------------------------------------------------------------------------
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# auto_translate
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# ---------------------------------------------------------------------------
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class TestAutoTranslate:
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def test_empty_string(self):
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assert auto_translate("") == ""
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def test_single_keyword(self):
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assert auto_translate("失眠") == "Insomnia"
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def test_compound_name(self):
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result = auto_translate("助眠配方")
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assert "Sleep" in result
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assert "Blend" in result
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def test_head_pain(self):
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result = auto_translate("头痛")
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# 头痛 is a single keyword → Headache
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assert "Headache" in result
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def test_shoulder_neck_massage(self):
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result = auto_translate("肩颈按摩")
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assert "Neck" in result or "Shoulder" in result
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assert "Massage" in result
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def test_no_duplicate_words(self):
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# 肩颈 → "Neck & Shoulder", but should not duplicate if sub-keys match
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result = auto_translate("肩颈护理")
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words = result.split()
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# No exact duplicate consecutive words
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for i in range(len(words) - 1):
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if words[i] == words[i + 1]:
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pytest.fail(f"Duplicate word '{words[i]}' in '{result}'")
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def test_skincare_blend(self):
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result = auto_translate("皮肤修复")
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assert "Skin" in result
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assert "Repair" in result
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def test_foot_soak(self):
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result = auto_translate("泡脚配方")
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assert "Foot Soak" in result or "Foot" in result
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def test_ascii_passthrough(self):
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# Embedded ASCII letters are preserved
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result = auto_translate("DIY面膜")
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assert "DIY" in result or "Diy" in result
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assert "Face Mask" in result or "Mask" in result
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def test_pure_chinese_returns_english(self):
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result = auto_translate("薰衣草精华")
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# Should not return original Chinese; should have English words
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assert any(c.isascii() and c.isalpha() for c in result)
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def test_fallback_for_unknown(self):
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# Completely unknown chars get skipped; if nothing matches, returns original
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result = auto_translate("㊗㊗㊗")
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assert result == "㊗㊗㊗"
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def test_children_sleep(self):
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result = auto_translate("儿童助眠")
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assert "Children" in result
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assert "Sleep" in result
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def test_menstrual_pain(self):
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result = auto_translate("痛经调理")
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assert "Menstrual Pain" in result or "Menstrual" in result
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assert "Therapy" in result
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def test_result_is_title_cased(self):
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result = auto_translate("排毒按摩")
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# Each word should start with uppercase
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for word in result.split():
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if word == "&":
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continue
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assert word[0].isupper(), f"'{word}' in '{result}' is not title-cased"
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