解析Flask框架在搜索引擎优化(SEO)中的技术实践以及如何提升SEO效果

# 技术栈：Flask + Jinja2
from flask import Flask, render_template

app = Flask(__name__)

@app.route('/product/<int:product_id>')
def product_detail(product_id):
    # 从数据库获取产品信息
    product = Product.query.get(product_id)
    # 动态生成页面标题和描述
    return render_template('product.html',
                          title=f"{product.name} - 专业设备供应商",
                          description=product.summary[:150])

@app.route('/products/<category>/<slug>-<int:product_id>')
def product_rewrite(category, slug, product_id):
    # 实际处理逻辑与常规路由一致
    product = get_product(product_id)
    return render_template('product.html', product=product)

# 生成符合SEO规范的URL示例：
# /products/tools/heavy-duty-drill-12345

<!-- 在模板中生成SEO友好链接 -->
<a href="{{ url_for('product_rewrite', category=product.category, 
                   slug=product.slug, product_id=product.id) }}">
  {{ product.name }}
</a>

@app.context_processor
def inject_seo_defaults():
    return {
        'default_description': "每日最新行业资讯与技术动态",
        'site_name': "科技前沿观察站"
    }

# 在视图层覆盖默认值
@app.route('/news/<slug>')
def news_detail(slug):
    article = NewsArticle.query.filter_by(slug=slug).first()
    return render_template('news.html',
                          title=article.title + " | 科技新闻",
                          description=article.excerpt)

from flask import make_response
import os

@app.route('/catalog/<path:subpath>')
def catalog_page(subpath):
    static_path = f"static/cache/{subpath}.html"
    # 检查静态缓存是否存在
    if os.path.exists(static_path):
        with open(static_path, 'r') as f:
            return f.read()
    # 动态生成并写入缓存
    content = generate_catalog_content(subpath)
    with open(static_path, 'w') as f:
        f.write(content)
    return content

def generate_catalog_content(subpath):
    # 复杂的数据库查询与模板渲染逻辑
    return render_template('catalog.html', **context)

from flask import jsonify

@app.route('/product/<id>/structured-data')
def product_structured_data(id):
    product = get_product(id)
    return jsonify({
        "@context": "https://schema.org/",
        "@type": "Product",
        "name": product.name,
        "image": product.images,
        "description": product.description[:200],
        "sku": product.sku,
        "offers": {
            "@type": "Offer",
            "price": product.price,
            "priceCurrency": "CNY"
        }
    })

from flask import jsonify

@app.route('/api/products')
def api_products():
    return jsonify([p.to_dict() for p in Product.query.limit(100)])

@app.route('/products')
def products_ssr():
    # 服务端渲染Vue组件
    return render_template('vue_ssr.html')