3个测试案例，让社交媒体内容审核系统误判率从15%降到0.3%_千锋教育

import time
import requests

def test_model_loading_timeout():
    # 模拟网络延迟
    proxy = {"http": "http://slow-proxy:8080"}
    start_time = time.time()
    try:
        response = requests.post(
            "https://api.socialmedia.com/audit/content",
            json={"content": "violent video content"},
            proxies=proxy,
            timeout=5  # 超时阈值
        )
        assert response.status_code == 408, "系统未正确处理超时"
    except requests.Timeout:
        # 验证回退机制
        fallback_response = requests.get(
            "https://api.socialmedia.com/audit/fallback",
            params={"content_id": "12345"}
        )
        assert fallback_response.json()["action"] == "reject", "回退机制失败"

import time
import threading

def test_data_consistency_during_sync_delay():
    # 模拟审核结果同步延迟
    def publish_content(region, content):
        response = requests.post(
            f"https://api.{region}.socialmedia.com/content",
            json={"content": content, "region": region}
        )
        return response.json()["content_id"]

    def audit_content(content_id, region):
        response = requests.post(
            f"https://api.{region}.socialmedia.com/audit",
            json={"content_id": content_id, "action": "delete"}
        )
        return response.status_code

    def check_content_visibility(content_id, region):
        response = requests.get(
            f"https://api.{region}.socialmedia.com/content/{content_id}"
        )
        return response.status_code == 200

    # 在纽约发布并审核
    content_id = publish_content("nyc", "hate speech")
    audit_content(content_id, "nyc")
    
    # 在同步延迟期间，检查伦敦区域
    time.sleep(30)  # 模拟同步延迟
    visible = check_content_visibility(content_id, "london")
    assert not visible, "内容在审核后仍可见"

    # 并发测试：审核和访问同时发生
    def concurrent_access():
        for _ in range(100):
            check_content_visibility(content_id, "london")
    
    threads = []
    for _ in range(10):
        t = threading.Thread(target=concurrent_access)
        threads.append(t)
        t.start()
    
    for t in threads:
        t.join()
    
    # 验证最终一致性
    time.sleep(60)  # 等待同步完成
    assert not check_content_visibility(content_id, "london"), "同步后内容仍可见"

import json

def test_ai_bias_across_languages():
    test_cases = [
        {"content": "I love pizza", "language": "en", "expected": "normal"},
        {"content": "Me encanta la pizza", "language": "es", "expected": "normal"},
        {"content": "Ich liebe Pizza", "language": "de", "expected": "normal"},
        {"content": "政治讽刺内容", "language": "zh", "expected": "review"},
        {"content": "宗教讨论内容", "language": "ar", "expected": "review"},
        {"content": "文化幽默内容", "language": "hi", "expected": "normal"},
    ]

    results = {}
    for case in test_cases:
        response = requests.post(
            "https://api.socialmedia.com/audit/ai",
            json={
                "content": case["content"],
                "language": case["language"]
            }
        )
        result = response.json()["classification"]
        results[case["language"]] = result
        assert result == case["expected"], (
            f"语言 {case['language']} 误判: 期望 {case['expected']}, 实际 {result}"
        )
    
    # 统计误判率
    misclassifications = sum(
        1 for lang, result in results.items()
        if result != test_cases[list(results.keys()).index(lang)]["expected"]
    )
    misrate = misclassifications / len(test_cases) * 100
    assert misrate < 5, f"误判率 {misrate}% 超过阈值 5%"

def test_cultural_context():
    # 测试不同文化背景的幽默
    humor_cases = [
        {"content": "Why did the chicken cross the road?", "culture": "western"},
        {"content": "一个和尚挑水吃", "culture": "eastern"},
        {"content": "Sarcastic comment about politics", "culture": "western"},
        {"content": "Self-deprecating joke", "culture": "british"},
    ]
    
    for case in humor_cases:
        response = requests.post(
            "https://api.socialmedia.com/audit/ai",
            json={
                "content": case["content"],
                "culture": case["culture"]
            }
        )
        classification = response.json()["classification"]
        # 幽默内容不应被误判为仇恨言论
        assert classification != "hate_speech", (
            f"文化背景 {case['culture']} 的幽默内容被误判为仇恨言论"
        )