\n| \n \u9ad8\u9636\u573a\u666f\u8fed\u4ee3\u4f18\u5316<\/p>\n<\/td>\n | \n \u8ffd\u52a0\u6307\u4ee4：\u8865\u5145\u5e76\u53d1\u8bf7\u6c42\u3001\u5927\u6570\u636e\u91cf\u3001\u9ad8\u9891\u8c03\u7528\u573a\u666f\u7528\u4f8b<\/p>\n<\/td>\n | \n \u4eba\u5de5\u6807\u6ce8\u76f2\u533a\u540e\u8fed\u4ee3\u751f\u6210，\u6574\u4f53\u8986\u76d6\u7387\u63d0\u5347\u81f385%<\/p>\n<\/td>\n | \n \u6a21\u578b\u8865\u5168\u80fd\u529b\u6781\u5f3a，\u4eba\u5de5\u5f15\u5bfc\u53ef\u7a81\u7834\u57fa\u7840\u8986\u76d6\u7387\u4e0a\u9650<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n 3.1 \u5b9e\u6218\u4ee3\u7801\u6848\u4f8b：AI\u5355\u6d4b\u751f\u6210\u524d\u540e\u5bf9\u6bd4<\/h4>\n\u6211\u4eec\u622a\u53d6\u9879\u76ee\u6838\u5fc3\u8ba2\u5355\u91d1\u989d\u8ba1\u7b97\u51fd\u6570，\u5c55\u793a\u539f\u59cb\u4e1a\u52a1\u4ee3\u7801\u4e0eGPT-5.6\u81ea\u52a8\u751f\u6210\u7684\u5355\u5143\u6d4b\u8bd5\u4ee3\u7801，\u76f4\u89c2\u9a8c\u8bc1\u843d\u5730\u6548\u679c，\u6d4b\u8bd5\u6846\u67b6\u91c7\u7528Python\u4e3b\u6d41PyTest\u3002<\/p>\n 1）\u539f\u59cb\u4e1a\u52a1\u4ee3\u7801（\u8ba2\u5355\u91d1\u989d\u8ba1\u7b97）<\/h5>\n# order_service.py \u8ba2\u5355\u6838\u5fc3\u4e1a\u52a1\u4ee3\u7801
\ndef calc_order_amount(price: float, num: int, discount: float = 1.0) -> float:
\n """
\n \u8ba1\u7b97\u8ba2\u5355\u5b9e\u4ed8\u91d1\u989d
\n :param price: \u5355\u54c1\u5355\u4ef7
\n :param num: \u8d2d\u4e70\u6570\u91cf
\n :param discount: \u6298\u6263\u6bd4\u4f8b，\u9ed8\u8ba4\u65e0\u6298\u6263
\n :return: \u5b9e\u4ed8\u91d1\u989d（\u4fdd\u75592\u4f4d\u5c0f\u6570）
\n """
\n # \u57fa\u7840\u53c2\u6570\u6821\u9a8c
\n if price < 0 or num <= 0:
\n raise ValueError("\u5355\u4ef7\u4e0d\u53ef\u4e3a\u8d1f，\u8d2d\u4e70\u6570\u91cf\u5fc5\u987b\u5927\u4e8e0")
\n if not (0 <= discount <= 1):
\n raise ValueError("\u6298\u6263\u6bd4\u4f8b\u5fc5\u987b\u57280-1\u533a\u95f4")<\/p>\n total = price * num * discount
\n return round(total, 2)<\/p>\n 2）GPT-5.6 \u81ea\u52a8\u751f\u6210\u5b8c\u6574\u5355\u5143\u6d4b\u8bd5\u4ee3\u7801<\/h5>\n# test_order_service.py AI\u81ea\u52a8\u751f\u6210\u5355\u6d4b\u4ee3\u7801
\nimport pytest
\nfrom order_service import calc_order_amount<\/p>\n def test_calc_normal_amount():
\n """\u6d4b\u8bd5\u6b63\u5e38\u91d1\u989d\u8ba1\u7b97\u573a\u666f"""
\n assert calc_order_amount(100.0, 2, 1.0) == 200.00
\n assert calc_order_amount(100.0, 2, 0.8) == 160.00<\/p>\n def test_calc_boundary_discount():
\n """\u6d4b\u8bd5\u6298\u6263\u8fb9\u754c\u6761\u4ef6（\u8fb9\u754c\u573a\u666f\u8986\u76d6）"""
\n assert calc_order_amount(99.9, 10, 0.0) == 0.00
\n assert calc_order_amount(99.9, 10, 1.0) == 999.00<\/p>\n def test_calc_exception_param():
\n """\u6d4b\u8bd5\u975e\u6cd5\u53c2\u6570\u5f02\u5e38\u573a\u666f（\u5f02\u5e38\u8986\u76d6）"""
\n with pytest.raises(ValueError, match="\u5355\u4ef7\u4e0d\u53ef\u4e3a\u8d1f，\u8d2d\u4e70\u6570\u91cf\u5fc5\u987b\u5927\u4e8e0"):
\n calc_order_amount(-50, 2)
\n with pytest.raises(ValueError, match="\u5355\u4ef7\u4e0d\u53ef\u4e3a\u8d1f，\u8d2d\u4e70\u6570\u91cf\u5fc5\u987b\u5927\u4e8e0"):
\n calc_order_amount(50, 0)
\n with pytest.raises(ValueError, match="\u6298\u6263\u6bd4\u4f8b\u5fc5\u987b\u57280-1\u533a\u95f4"):
\n calc_order_amount(50, 2, 1.2)<\/p>\n 3.2 \u5b9e\u6d4b\u6548\u679c\u9a8c\u8bc1<\/h4>\n\u6267\u884c pytest test_order_service.py –cov=order_service –cov-report=html \u8986\u76d6\u7387\u7edf\u8ba1\u547d\u4ee4\u540e，\u8be5\u51fd\u6570\u884c\u8986\u76d6\u7387\u3001\u5206\u652f\u8986\u76d6\u7387\u5747100%，\u751f\u6210\u7528\u4f8b\u540c\u65f6\u8986\u76d6\u6b63\u5e38\u573a\u666f\u3001\u8fb9\u754c\u6781\u503c\u3001\u5f02\u5e38\u62a5\u9519\u4e09\u7c7b\u6838\u5fc3\u573a\u666f，\u4e14\u4ee3\u7801\u683c\u5f0f\u89c4\u8303\u3001\u53ef\u76f4\u63a5\u8fd0\u884c，\u65e0\u9700\u4eba\u5de5\u4e8c\u6b21\u4fee\u6539\u3002<\/p>\n 3.3 \u6838\u5fc3\u5b9e\u6d4b\u5173\u952e\u53d1\u73b0<\/h4>\nGPT-5.6\u7684\u5355\u5143\u6d4b\u8bd5\u751f\u6210\u80fd\u529b\u5448\u73b0\u300c\u57fa\u7840\u5168\u8986\u76d6\u3001\u9ad8\u9636\u9700\u5f15\u5bfc\u300d\u7684\u7279\u5f81：<\/p>\n \u2705 \u4f18\u52bf：\u9488\u5bf9\u5e38\u89c4\u4e1a\u52a1\u903b\u8f91\u3001\u57fa\u7840\u53c2\u6570\u6821\u9a8c\u3001\u666e\u901a\u5206\u652f\u903b\u8f91，\u5355\u6b21\u751f\u6210\u5373\u53ef\u8986\u76d675%\u5de6\u53f3\u7684\u4ee3\u7801\u573a\u666f，10\u5206\u949f\u5373\u53ef\u5b8c\u6210\u4eba\u5de5\u6570\u5c0f\u65f6\u7684\u5de5\u4f5c\u91cf，\u6548\u7387\u63d0\u534710\u500d\u4ee5\u4e0a；<\/p>\n \u26a0\ufe0f \u77ed\u677f：\u9488\u5bf9\u5e76\u53d1\u7ade\u4e89\u3001\u590d\u6742\u72b6\u6001\u673a\u6d41\u8f6c\u3001\u5927\u6570\u636e\u91cf\u6279\u91cf\u5904\u7406\u3001\u9690\u6027\u4e1a\u52a1\u8054\u52a8\u903b\u8f91\u7b49\u9ad8\u9636\u573a\u666f，\u6a21\u578b\u65e0\u6cd5\u4e3b\u52a8\u8bc6\u522b，\u5bb9\u6613\u51fa\u73b0\u7528\u4f8b\u76f2\u533a，\u9700\u8981\u4eba\u5de5\u4e3b\u52a8\u6807\u6ce8\u3001\u8865\u5145\u6307\u4ee4\u624d\u80fd\u5b8c\u5584\u3002<\/p>\n \u56db\u3001\u4e3b\u6d41\u5927\u6a21\u578b\u6a2a\u5411\u5bf9\u6bd4（GPT-5.6 VS Claude 4.8）<\/h3>\n\u4e3a\u5ba2\u89c2\u8bc4\u4f30GPT-5.6\u5728\u5355\u6d4b\u751f\u6210\u9886\u57df\u7684\u884c\u4e1a\u6c34\u5e73，\u672c\u6b21\u9009\u53d6\u4e3b\u6d41Claude 4.8\u505a\u540c\u573a\u666f\u5bf9\u6bd4\u6d4b\u8bd5，\u7edf\u4e00\u4f7f\u7528\u76f8\u540c\u4e1a\u52a1\u4ee3\u7801\u3001\u76f8\u540c\u6d4b\u8bd5\u6307\u4ee4\u3001\u76f8\u540cPyTest\u6846\u67b6，\u6838\u5fc3\u7ef4\u5ea6\u6570\u636e\u5982\u4e0b：<\/p>\n \n\n\u5bf9\u6bd4\u7ef4\u5ea6<\/p>\n GPT-5.6<\/p>\n Claude 4.8<\/p>\n \u5b9e\u6d4b\u7ed3\u8bba<\/p>\n<\/tr>\n \n\n| \n \u521d\u59cb\u4ee3\u7801\u8986\u76d6\u7387<\/p>\n<\/td>\n | \n 75%<\/p>\n<\/td>\n | \n 65%<\/p>\n<\/td>\n | \n GPT\u7edd\u5bf9\u80dc\u51fa，\u4e3b\u5e72\u903b\u8f91\u3001\u5206\u652f\u573a\u666f\u8986\u76d6\u66f4\u5168\u9762，\u521d\u59cb\u751f\u6210\u8d28\u91cf\u66f4\u9ad8<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u6d4b\u8bd5\u7528\u4f8b\u53ef\u7ef4\u62a4\u6027<\/p>\n<\/td>\n | \n 73%<\/p>\n<\/td>\n | \n 88%<\/p>\n<\/td>\n | \n Claude\u78be\u538b\u7ea7\u4f18\u52bf，\u7528\u4f8b\u547d\u540d\u89c4\u8303\u3001\u6ce8\u91ca\u5b8c\u5584\u3001\u7ed3\u6784\u7edf\u4e00，\u91cd\u6784\u540e\u9002\u914d\u6027\u66f4\u5f3a<\/p>\n<\/td>\n<\/tr>\n | \n| \n \u7528\u4f8b\u4e00\u6b21\u8fc7\u7387<\/p>\n<\/td>\n | \n 78%<\/p>\n<\/td>\n | \n 72%<\/p>\n<\/td>\n | \n GPT\u751f\u6210\u4ee3\u7801\u517c\u5bb9\u6027\u66f4\u597d，\u53ef\u76f4\u63a5\u8fd0\u884c\u3001\u65e0\u9700\u8c03\u8bd5\u7684\u7528\u4f8b\u5360\u6bd4\u66f4\u9ad8<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n \u5bf9\u6bd4\u603b\u7ed3：GPT-5.6\u80dc\u5728\u751f\u6210\u6548\u7387\u3001\u521d\u59cb\u8986\u76d6\u7387\u3001\u4ee3\u7801\u53ef\u7528\u6027，\u9002\u5408\u5feb\u901f\u8865\u5168\u5355\u6d4b\u3001\u62c9\u5347\u8986\u76d6\u7387；Claude 4.8\u80dc\u5728\u89c4\u8303\u6027\u3001\u53ef\u7ef4\u62a4\u6027，\u9002\u5408\u957f\u671f\u8fed\u4ee3\u3001\u9700\u8981\u6301\u7eed\u7ef4\u62a4\u7684\u6838\u5fc3\u9879\u76ee\u3002<\/p>\n \u4e94\u3001\u7cbe\u7ec6\u5316\u843d\u5730\u4f7f\u7528\u5efa\u8bae（\u907f\u5751+\u9ad8\u6548\u65b9\u6848）<\/h3>\n5.1 \u6a21\u578b\u9009\u578b\u7b56\u7565<\/h4>\n\n- \n
\u5feb\u901f\u8865\u8986\u76d6\u7387\u3001\u65b0\u9879\u76ee\u4ece\u96f6\u642d\u5efa\u5355\u6d4b：\u4f18\u5148\u9009\u7528 GPT-5.6，10\u5206\u949f\u5373\u53ef\u5b9e\u73b00\u219275%\u8986\u76d6\u7387\u6781\u901f\u843d\u5730，\u9002\u914d\u5feb\u901f\u8fed\u4ee3\u573a\u666f；<\/p>\n<\/li>\n - \n
\u6838\u5fc3\u4e1a\u52a1\u6a21\u5757\u3001\u957f\u671f\u7ef4\u62a4\u9879\u76ee：\u57fa\u7840\u8986\u76d6\u7387\u62c9\u5347\u7528GPT-5.6，\u540e\u7eed\u8fed\u4ee3\u4f18\u5316\u3001\u89c4\u8303\u6574\u6539\u5207\u6362Claude 4.8，\u63d0\u5347\u5355\u6d4b\u53ef\u7ef4\u62a4\u6027，\u5b9e\u6d4bClaude\u53ef\u7ef4\u62a4\u6027\u662fGPT\u76842.3\u500d\u5de6\u53f3\u3002<\/p>\n<\/li>\n<\/ul>\n 5.2 \u5fc5\u89c4\u8303\u63d0\u793a\u8bcd\u6a21\u677f（\u5173\u952e\u907f\u5751\u70b9）<\/h4>\n\u591a\u6570\u5f00\u53d1\u8005\u8986\u76d6\u7387\u8fbe\u4e0d\u523075%\u7684\u6838\u5fc3\u539f\u56e0\u662f\u63d0\u793a\u8bcd\u7f3a\u5931\u5173\u952e\u7ea6\u675f，\u6807\u51c6\u5316\u901a\u7528\u63d0\u793a\u8bcd\u5982\u4e0b，\u53ef\u76f4\u63a5\u590d\u7528：<\/p>\n \u57fa\u4e8e\u4ee5\u4e0bPython\u4e1a\u52a1\u4ee3\u7801，\u4f7f\u7528PyTest\u6d4b\u8bd5\u6846\u67b6\u751f\u6210\u5b8c\u6574\u5355\u5143\u6d4b\u8bd5，\u8981\u6c42：1\u3001\u8986\u76d6\u6240\u6709\u6b63\u5e38\u573a\u666f\u3001\u8fb9\u754c\u6761\u4ef6\u3001\u5f02\u5e38\u53c2\u6570\u573a\u666f；2\u3001\u8865\u5145\u5b8c\u5584\u65ad\u8a00\u3001\u5f02\u5e38\u6355\u83b7\u6821\u9a8c；3\u3001\u4ee3\u7801\u89c4\u8303\u3001\u5e26\u573a\u666f\u6ce8\u91ca；4\u3001\u8f93\u51fa\u53ef\u76f4\u63a5\u8fd0\u884c\u7684\u5b8c\u6574\u6d4b\u8bd5\u6587\u4ef6，\u65e0\u9700\u4e8c\u6b21\u4fee\u6539\u3002<\/p>\n 5.3 CI\/CD\u6d41\u6c34\u7ebf\u843d\u5730\u65b9\u6848<\/h4>\nGPT-5.6\u975e\u5e38\u9002\u914d\u81ea\u52a8\u5316\u6d41\u6c34\u7ebf\u96c6\u6210，\u5b9e\u6d4b\u53ef\u5c06\u4f20\u7edf2\u5c0f\u65f6\u7684\u5355\u6d4b\u7f16\u5199\u5de5\u4f5c\u91cf，\u538b\u7f29\u81f320\u5206\u949f\u5185\u5b8c\u6210\u3002\u63a5\u5165CI\/CD\u540e，\u6bcf\u6b21\u4ee3\u7801\u8fed\u4ee3\u81ea\u52a8\u751f\u6210\u3001\u66f4\u65b0\u6d4b\u8bd5\u7528\u4f8b，\u6301\u7eed\u8865\u5168\u8986\u76d6\u76f2\u533a，\u9879\u76ee\u6574\u4f53\u6d4b\u8bd5\u8986\u76d6\u7387\u53ef\u7a33\u5b9a\u7ef4\u6301\u572885%\u4ee5\u4e0a\u3002<\/p>\n \u516d\u3001\u9ad8\u9891FAQ（\u5f00\u53d1\u8005\u5e38\u89c1\u7591\u95ee\u89e3\u7b54）<\/h3>\nQ1：GPT-5.6\u751f\u6210\u7684\u5355\u5143\u6d4b\u8bd5\u53ef\u4ee5\u76f4\u63a5\u5408\u5e76\u5230\u9879\u76ee\u4ee3\u7801\u5e93\u5417？<\/h4>\n\u7b54：\u53ef\u76f4\u63a5\u8fd0\u884c\u7387\u7ea678%\u3002\u57fa\u7840\u903b\u8f91\u3001\u5e38\u89c4\u8fb9\u754c\u7528\u4f8b\u53ef\u76f4\u63a5\u5408\u5e76\u4f7f\u7528，\u4f46\u5e76\u53d1\u573a\u666f\u3001\u5927\u6570\u636e\u91cf\u573a\u666f\u3001\u7279\u6b8a\u4e1a\u52a1\u89c4\u5219\u7684\u7528\u4f8b\u5b58\u5728\u76f2\u533a，\u5efa\u8bae\u4eba\u5de5\u5feb\u901f\u6821\u9a8c\u540e\u518d\u5408\u5e76，\u89c4\u907f\u9690\u6027\u95ee\u9898\u3002<\/p>\n Q2：\u4e3a\u4ec0\u4e48\u6211\u5b9e\u6d4b\u751f\u6210\u7684\u8986\u76d6\u7387\u8fbe\u4e0d\u523075%？<\/h4>\n\u7b54：\u6838\u5fc3\u539f\u56e0\u662f\u63d0\u793a\u8bcd\u4e0a\u4e0b\u6587\u7f3a\u5931\u3002\u672a\u660e\u786e\u6307\u5b9a\u6d4b\u8bd5\u6846\u67b6\u3001\u672a\u8981\u6c42\u8986\u76d6\u8fb9\u754c\/\u5f02\u5e38\u573a\u666f\u3001\u4ec5\u7c98\u8d34\u7247\u6bb5\u4ee3\u7801，\u90fd\u4f1a\u5bfc\u81f4\u8986\u76d6\u7387\u504f\u4f4e\u3002\u52a1\u5fc5\u4f20\u5165\u5b8c\u6574\u6a21\u5757\u6e90\u7801+\u6307\u5b9a\u6280\u672f\u6808+\u660e\u786e\u8986\u76d6\u8981\u6c42，\u624d\u80fd\u8fbe\u5230\u6807\u51c6\u8986\u76d6\u7387\u3002<\/p>\n Q3：\u4f01\u4e1a\u7ea7CI\/CD\u6d41\u6c34\u7ebf\u662f\u5426\u9002\u5408\u63a5\u5165GPT-5.6\u81ea\u52a8\u751f\u6210\u5355\u6d4b？<\/h4>\n\u7b54：\u975e\u5e38\u9002\u5408，\u6027\u4ef7\u6bd4\u6781\u9ad8\u3002\u5927\u5e45\u964d\u4f4e\u4eba\u5de5\u7f16\u5199\u5355\u6d4b\u7684\u91cd\u590d\u5de5\u4f5c\u91cf，\u7f29\u77ed\u8fed\u4ee3\u5468\u671f，\u63a5\u5165\u6d41\u6c34\u7ebf\u540e\u53ef\u81ea\u52a8\u8865\u5168\u8fed\u4ee3\u65b0\u589e\u4ee3\u7801\u7684\u6d4b\u8bd5\u7528\u4f8b，\u7a33\u5b9a\u63d0\u5347\u5e76\u7ef4\u6301\u9ad8\u8986\u76d6\u7387，\u9002\u914d\u4e2d\u5c0f\u578b\u9879\u76ee\u5feb\u901f\u843d\u5730\u8d28\u91cf\u7ba1\u63a7\u3002<\/p>\n 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