62 lines
2.2 KiB
Python
62 lines
2.2 KiB
Python
# test_seo_optimizer.py
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import pytest
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# 导入实际实现的 SEOOptimizer
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from app.services.content.seo_optimizer import SEOOptimizer
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def test_get_keyword_density():
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"""关键词密度计算"""
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optimizer = SEOOptimizer()
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content = "AI医疗AI医疗AI医疗" # 5个字，AI医疗出现3次
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density = optimizer.get_keyword_density(content, "AI医疗")
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# 密度计算：(3 * 4) / 15 ≈ 0.8 (约80%)
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assert density > 0
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def test_adjust_keyword_density():
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"""密度调整到推荐范围"""
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optimizer = SEOOptimizer()
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result = optimizer.optimize(
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content="AI医疗是未来发展趋势。随着人工智能技术的不断进步，医疗领域正在经历智能化变革。智能诊断系统能够分析海量医学数据，为医生提供辅助决策支持，提高诊疗效率和准确性，改善患者就医体验，推动医疗资源的优化配置和行业升级，促进整个医疗生态的可持续发展，提升医疗服务质量与管理水平。",
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title="AI医疗",
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platform="zhihu", # 推荐密度 1-3%
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keyword="AI医疗"
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)
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# 优化后密度应在推荐范围内
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assert result.density >= 1.0
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assert result.density <= 3.0
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def test_optimize_keyword_position():
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"""关键词位置优化"""
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optimizer = SEOOptimizer()
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result = optimizer.optimize(
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content="这是一篇关于人工智能医疗的文章",
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title="文章标题",
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platform="zhihu",
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keyword="AI医疗"
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)
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# 应建议在标题中添加关键词
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assert result.suggestions is not None
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assert len(result.suggestions) > 0
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def test_optimize_multiple_keywords():
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"""多关键词处理"""
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optimizer = SEOOptimizer()
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result = optimizer.optimize(
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content="人工智能和机器学习是热门技术",
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title="技术文章",
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platform="zhihu",
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keyword="人工智能"
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)
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assert result.optimized_content is not None
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def test_seo_tips_generation():
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"""SEO建议生成"""
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optimizer = SEOOptimizer()
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result = optimizer.optimize(
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content="内容",
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title="标题",
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platform="zhihu"
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)
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assert result.tips is not None
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assert len(result.tips) > 0
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