{"id":50010,"date":"2024-12-03T10:51:34","date_gmt":"2024-12-03T02:51:34","guid":{"rendered":"https:\/\/fwq.ai\/blog\/50010\/"},"modified":"2024-12-03T10:51:34","modified_gmt":"2024-12-03T02:51:34","slug":"%e5%9c%a8-django-%e9%a1%b9%e7%9b%ae%e4%b8%ad%e5%ae%9e%e7%8e%b0%e5%85%b7%e6%9c%89-levenshtein-distance-%e7%9a%84%e6%ac%ba%e8%af%88%e6%a3%80%e6%b5%8b%e7%b3%bb%e7%bb%9f","status":"publish","type":"post","link":"https:\/\/fwq.ai\/blog\/50010\/","title":{"rendered":"\u5728 Django \u9879\u76ee\u4e2d\u5b9e\u73b0\u5177\u6709 Levenshtein Distance \u7684\u6b3a\u8bc8\u68c0\u6d4b\u7cfb\u7edf"},"content":{"rendered":"<p><b><\/b>     <\/p>\n<h1>\u5728 Django \u9879\u76ee\u4e2d\u5b9e\u73b0\u5177\u6709 Levenshtein Distance \u7684\u6b3a\u8bc8\u68c0\u6d4b\u7cfb\u7edf<\/h1>\n<p>\u54c8\u55bd\uff01\u5927\u5bb6\u597d\uff0c\u5f88\u9ad8\u5174\u53c8\u89c1\u9762\u4e86\uff0c\u6211\u662f\u7c73\u4e91\u7684\u4e00\u540d\u4f5c\u8005\uff0c\u4eca\u5929\u7531\u6211\u7ed9\u5927\u5bb6\u5e26\u6765\u4e00\u7bc7<span style=\"color: #FF6600;, Helvetica, Arial, sans-serif;font-size: 14px;background-color: #FFFFFF\">\u300a\u5728 Django \u9879\u76ee\u4e2d\u5b9e\u73b0\u5177\u6709 Levenshtein Distance \u7684\u6b3a\u8bc8\u68c0\u6d4b\u7cfb\u7edf\u300b<\/span>\uff0c\u672c\u6587\u4e3b\u8981\u4f1a\u8bb2\u5230<span style=\"color: #FF6600;, Helvetica, Arial, sans-serif;font-size: 14px;background-color: #FFFFFF\"><\/span>\u7b49\u7b49\u77e5\u8bc6\u70b9\uff0c\u5e0c\u671b\u5927\u5bb6\u4e00\u8d77\u5b66\u4e60\u8fdb\u6b65\uff0c\u4e5f\u6b22\u8fce\u5927\u5bb6\u5173\u6ce8\u3001\u70b9\u8d5e\u3001\u6536\u85cf\u3001\u8f6c\u53d1! \u4e0b\u9762\u5c31\u4e00\u8d77\u6765\u770b\u770b\u5427\uff01<\/p>\n<p><img decoding=\"async\" src=\"https:\/\/www.17golang.com\/uploads\/20241109\/1731151839672f47df4eaf4.jpg\" class=\"aligncenter\" title=\"\u5728 Django \u9879\u76ee\u4e2d\u5b9e\u73b0\u5177\u6709 Levenshtein Distance \u7684\u6b3a\u8bc8\u68c0\u6d4b\u7cfb\u7edf\u63d2\u56fe\" alt=\"\u5728 Django \u9879\u76ee\u4e2d\u5b9e\u73b0\u5177\u6709 Levenshtein Distance \u7684\u6b3a\u8bc8\u68c0\u6d4b\u7cfb\u7edf\u63d2\u56fe\" \/><\/p>\n<p>\u7f16\u8f91\u8ddd\u79bb\u53ef\u7528\u4e8e\u6b3a\u8bc8\u68c0\u6d4b\u7cfb\u7edf\uff0c\u5c06\u7528\u6237\u8f93\u5165\u7684\u6570\u636e\uff08\u4f8b\u5982\u59d3\u540d\u3001\u5730\u5740\u6216\u7535\u5b50\u90ae\u4ef6\uff09\u4e0e\u73b0\u6709\u6570\u636e\u8fdb\u884c\u6bd4\u8f83\uff0c\u4ee5\u8bc6\u522b\u7c7b\u4f3c\u4f46\u53ef\u80fd\u5177\u6709\u6b3a\u8bc8\u6027\u7684\u6761\u76ee\u3002<\/p>\n<p>\u8fd9\u662f\u5c06\u6b64\u529f\u80fd\u96c6\u6210\u5230 django \u9879\u76ee\u4e2d\u7684\u5206\u6b65\u6307\u5357\u3002<\/p>\n<hr>\n<p>\u6b3a\u8bc8\u68c0\u6d4b\u7cfb\u7edf\u53ef\u4ee5\u6bd4\u8f83\uff1a<\/p>\n<ul>\n<li> <strong>\u7c7b\u4f3c\u7535\u5b50\u90ae\u4ef6<\/strong>\uff1a\u68c0\u6d4b\u521b\u5efa\u65f6\u7565\u6709\u4e0d\u540c\u7684\u5e10\u6237\uff08\u4f8b\u5982\uff0cuser@example.com \u4e0e userr@example.com\uff09\u3002<\/li>\n<li> <strong>\u90bb\u8fd1\u5730\u5740<\/strong>\uff1a\u68c0\u67e5\u591a\u4e2a\u5e10\u6237\u662f\u5426\u4f7f\u7528\u51e0\u4e4e\u76f8\u540c\u7684\u5730\u5740\u3002<\/li>\n<li> <strong>\u76f8\u4f3c\u540d\u79f0<\/strong>\uff1a\u53d1\u73b0\u540d\u79f0\u7a0d\u6709\u4fee\u6539\u7684\u7528\u6237\uff08\u4f8b\u5982\uff0cjohn doe \u4e0e jon doe\uff09\u3002<\/li>\n<\/ul>\n<hr>\n<h4> <strong>a.\u521b\u5efa\u4e2d\u95f4\u4ef6\u6216\u4fe1\u53f7\u6765\u5206\u6790\u6570\u636e<\/strong> <\/h4>\n<p>\u4f7f\u7528 django \u7684<strong>\u4fe1\u53f7<\/strong>\u5728\u6ce8\u518c\u6216\u66f4\u65b0\u65f6\u68c0\u67e5\u65b0\u7528\u6237\u6570\u636e\u3002<\/p>\n<h4> <strong>b.\u5b89\u88c5\u7f16\u8f91\u8ba1\u7b97\u529f\u80fd<\/strong> <\/h4>\n<p>\u96c6\u6210\u5e93\u6765\u8ba1\u7b97 levenshtein \u8ddd\u79bb\u6216\u4f7f\u7528\u5982\u4e0b python \u51fd\u6570\uff1a<\/p>\n<pre>from django.db.models import q\nfrom .models import user  # assume user is your user model\n\ndef levenshtein_distance(a, b):\n    n, m = len(a), len(b)\n    if n &gt; m:\n        a, b = b, a\n        n, m = m, n\n\n    current_row = range(n + 1)  # keep current and previous row\n    for i in range(1, m + 1):\n        previous_row, current_row = current_row, [i] + [0] * n\n        for j in range(1, n + 1):\n            add, delete, change = previous_row[j] + 1, current_row[j - 1] + 1, previous_row[j - 1]\n            if a[j - 1] != b[i - 1]:\n                change += 1\n            current_row[j] = min(add, delete, change)\n\n    return current_row[n]\n<\/pre>\n<h4> <strong>c.\u6dfb\u52a0\u6b3a\u8bc8\u68c0\u6d4b\u529f\u80fd<\/strong> <\/h4>\n<p>\u5728\u60a8\u7684\u4fe1\u53f7\u6216\u4e2d\u95f4\u4ef6\u4e2d\uff0c\u5c06\u8f93\u5165\u7684\u6570\u636e\u4e0e\u6570\u636e\u5e93\u4e2d\u7684\u6570\u636e\u8fdb\u884c\u6bd4\u8f83\uff0c\u4ee5\u67e5\u627e\u76f8\u4f3c\u7684\u6761\u76ee\u3002<\/p>\n<pre>from django.db.models import q\nfrom .models import user  # assume user is your user model\n\ndef detect_similar_entries(email, threshold=2):\n    users = user.objects.filter(~q(email=email))  # exclure l'utilisateur actuel\n    similar_users = []\n\n    for user in users:\n        distance = levenshtein_distance(email, user.email)\n        if distance &lt;= threshold:\n            similar_users.append((user, distance))\n\n    return similar_users\n<\/pre>\n<h4> <strong>d.\u8fde\u63a5\u5230\u7528\u6237\u7684 signal post_save<\/strong> <\/h4>\n<p>\u5728\u7528\u6237\u6ce8\u518c\u6216\u66f4\u65b0\u540e\u4f7f\u7528 post_save \u4fe1\u53f7\u8fd0\u884c\u6b64\u68c0\u67e5\uff1a<\/p>\n<pre>from django.db.models.signals import post_save\nfrom django.dispatch import receiver\nfrom .models import user\nfrom .utils import detect_similar_entries  # import your function\n\n@receiver(post_save, sender=user)\ndef check_for_fraud(sender, instance, **kwargs):\n    similar_users = detect_similar_entries(instance.email)\n\n    if similar_users:\n        print(f\"potential fraud detected for {instance.email}:\")\n        for user, distance in similar_users:\n            print(f\" - similar email: {user.email}, distance: {distance}\")\n<\/pre>\n<h4> <strong>e.\u9009\u9879\uff1a\u6dfb\u52a0\u6b3a\u8bc8\u65e5\u5fd7\u6a21\u677f<\/strong> <\/h4>\n<p>\u8981\u8ddf\u8e2a\u53ef\u7591\u7684\u6b3a\u8bc8\u884c\u4e3a\uff0c\u60a8\u53ef\u4ee5\u521b\u5efa fraudlog \u6a21\u578b\uff1a<\/p>\n<pre>from django.db import models\nfrom django.contrib.auth.models import user\n\nclass fraudlog(models.model):\n    suspicious_user = models.foreignkey(user, related_name='suspicious_logs', on_delete=models.cascade)\n    similar_user = models.foreignkey(user, related_name='similar_logs', on_delete=models.cascade)\n    distance = models.integerfield()\n    created_at = models.datetimefield(auto_now_add=true)\n<\/pre>\n<p>\u5728\u6b64\u6a21\u677f\u4e2d\u4fdd\u5b58\u53ef\u7591\u5339\u914d\u9879\uff1a<\/p>\n<pre>from .models import FraudLog\n\n@receiver(post_save, sender=User)\ndef check_for_fraud(sender, instance, **kwargs):\n    similar_users = detect_similar_entries(instance.email)\n\n    for user, distance in similar_users:\n        FraudLog.objects.create(suspicious_user=instance, similar_user=user, distance=distance)\n<\/pre>\n<hr>\n<h4> <strong>a.\u6781\u9650\u6bd4\u8f83<\/strong> <\/h4>\n<ul>\n<li>\u4ec5\u6bd4\u8f83\u6700\u8fd1\u7684\u7528\u6237\u6216\u6765\u81ea\u540c\u4e00\u5730\u533a\u3001\u516c\u53f8\u7b49\u7684\u7528\u6237<\/li>\n<\/ul>\n<h4> <strong>b.\u8c03\u6574\u9608\u503c<\/strong> <\/h4>\n<ul>\n<li>\u6839\u636e\u5b57\u6bb5\u8bbe\u7f6e\u4e0d\u540c\u7684\u53ef\u63a5\u53d7\u8ddd\u79bb\u9608\u503c\uff08\u4f8b\u5982\uff0c\u7535\u5b50\u90ae\u4ef6\u7684\u9608\u503c\u4e3a 1\uff0c\u59d3\u540d\u7684\u9608\u503c\u4e3a 2\uff09\u3002<\/li>\n<\/ul>\n<h4> <strong>c.\u5148\u8fdb\u7b97\u6cd5\u7684\u4f7f\u7528<\/strong> <\/h4>\n<ul>\n<li>\u63a2\u7d22 rapidfuzz \u7b49\u5e93\u4ee5\u4f18\u5316\u8ba1\u7b97\u3002<\/li>\n<\/ul>\n<h4> <strong>d.\u96c6\u6210\u5230 django \u7ba1\u7406<\/strong> <\/h4>\n<ul>\n<li>\u5728\u7ba1\u7406\u754c\u9762\u4e2d\u4e3a\u5b58\u5728\u6f5c\u5728\u6b3a\u8bc8\u98ce\u9669\u7684\u7528\u6237\u6dfb\u52a0\u8b66\u62a5\u3002<\/li>\n<\/ul>\n<hr>\n<p>\u901a\u8fc7\u8fd9\u79cd\u65b9\u6cd5\uff0c\u60a8\u5df2\u7ecf\u5b9e\u73b0\u4e86\u57fa\u4e8e\u7f16\u8f91\u8ddd\u79bb\u7684\u6b3a\u8bc8\u68c0\u6d4b\u7cfb\u7edf\u3002\u5b83\u6709\u52a9\u4e8e\u8bc6\u522b\u76f8\u4f3c\u7684\u6761\u76ee\uff0c\u964d\u4f4e\u521b\u5efa\u6b3a\u8bc8\u5e10\u6237\u6216\u91cd\u590d\u6570\u636e\u7684\u98ce\u9669\u3002\u8be5\u7cfb\u7edf\u662f\u53ef\u6269\u5c55\u7684\uff0c\u53ef\u4ee5\u8fdb\u884c\u8c03\u6574\u4ee5\u6ee1\u8db3\u60a8\u9879\u76ee\u7684\u7279\u5b9a\u9700\u6c42\u3002<\/p>\n<p>\u5230\u8fd9\u91cc\uff0c\u6211\u4eec\u4e5f\u5c31\u8bb2\u5b8c\u4e86\u300a\u5728 Django \u9879\u76ee\u4e2d\u5b9e\u73b0\u5177\u6709 Levenshtein Distance \u7684\u6b3a\u8bc8\u68c0\u6d4b\u7cfb\u7edf\u300b\u7684\u5185\u5bb9\u4e86\u3002\u4e2a\u4eba\u8ba4\u4e3a\uff0c\u57fa\u7840\u77e5\u8bc6\u7684\u5b66\u4e60\u548c\u5de9\u56fa\uff0c\u662f\u4e3a\u4e86\u66f4\u597d\u7684\u5c06\u5176\u8fd0\u7528\u5230\u9879\u76ee\u4e2d\uff0c\u6b22\u8fce\u5173\u6ce8\u7c73\u4e91\u516c\u4f17\u53f7\uff0c\u5e26\u4f60\u4e86\u89e3\u66f4\u591a\u5173\u4e8e\u7684\u77e5\u8bc6\u70b9\uff01<\/p>\n<p>      \u7248\u672c\u58f0\u660e \u672c\u6587\u8f6c\u8f7d\u4e8e\uff1adev.to \u5982\u6709\u4fb5\u72af\uff0c\u8bf7\u8054\u7cfb\u5220\u9664<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u5728 Django \u9879\u76ee\u4e2d\u5b9e\u73b0\u5177\u6709 Levenshtein Distance \u7684\u6b3a\u8bc8\u68c0\u6d4b\u7cfb\u7edf \u54c8\u55bd\uff01\u5927\u5bb6\u597d\uff0c\u5f88\u9ad8\u5174\u53c8\u89c1\u9762\u4e86\uff0c\u6211\u662f\u7c73\u4e91\u7684\u4e00\u540d\u4f5c\u8005\uff0c\u4eca\u5929\u7531\u6211\u7ed9\u5927\u5bb6\u5e26\u6765\u4e00\u7bc7\u300a\u5728 Django \u9879\u76ee\u4e2d\u5b9e\u73b0\u5177\u6709 Levenshtein Distance \u7684\u6b3a\u8bc8\u68c0\u6d4b\u7cfb\u7edf\u300b\uff0c\u672c\u6587\u4e3b\u8981\u4f1a\u8bb2\u5230\u7b49\u7b49\u77e5\u8bc6\u70b9\uff0c\u5e0c\u671b\u5927\u5bb6\u4e00\u8d77\u5b66\u4e60\u8fdb\u6b65\uff0c\u4e5f\u6b22\u8fce\u5927\u5bb6\u5173\u6ce8\u3001\u70b9\u8d5e\u3001\u6536\u85cf\u3001\u8f6c\u53d1! \u4e0b\u9762\u5c31\u4e00\u8d77\u6765\u770b\u770b\u5427\uff01 \u7f16\u8f91\u8ddd\u79bb\u53ef\u7528\u4e8e\u6b3a\u8bc8\u68c0\u6d4b\u7cfb\u7edf\uff0c\u5c06\u7528\u6237\u8f93\u5165\u7684\u6570\u636e\uff08\u4f8b\u5982\u59d3\u540d\u3001\u5730\u5740\u6216\u7535\u5b50\u90ae\u4ef6\uff09\u4e0e\u73b0\u6709\u6570\u636e\u8fdb\u884c\u6bd4\u8f83\uff0c\u4ee5\u8bc6\u522b\u7c7b\u4f3c\u4f46\u53ef\u80fd\u5177\u6709\u6b3a\u8bc8\u6027\u7684\u6761\u76ee\u3002 \u8fd9\u662f\u5c06\u6b64\u529f\u80fd\u96c6\u6210\u5230 django \u9879\u76ee\u4e2d\u7684\u5206\u6b65\u6307\u5357\u3002 \u6b3a\u8bc8\u68c0\u6d4b\u7cfb\u7edf\u53ef\u4ee5\u6bd4\u8f83\uff1a \u7c7b\u4f3c\u7535\u5b50\u90ae\u4ef6\uff1a\u68c0\u6d4b\u521b\u5efa\u65f6\u7565\u6709\u4e0d\u540c\u7684\u5e10\u6237\uff08\u4f8b\u5982\uff0cuser@example.com \u4e0e userr@example.com\uff09\u3002 \u90bb\u8fd1\u5730\u5740\uff1a\u68c0\u67e5\u591a\u4e2a\u5e10\u6237\u662f\u5426\u4f7f\u7528\u51e0\u4e4e\u76f8\u540c\u7684\u5730\u5740\u3002 \u76f8\u4f3c\u540d\u79f0\uff1a\u53d1\u73b0\u540d\u79f0\u7a0d\u6709\u4fee\u6539\u7684\u7528\u6237\uff08\u4f8b\u5982\uff0cjohn doe \u4e0e jon doe\uff09\u3002 a.\u521b\u5efa\u4e2d\u95f4\u4ef6\u6216\u4fe1\u53f7\u6765\u5206\u6790\u6570\u636e \u4f7f\u7528 django \u7684\u4fe1\u53f7\u5728\u6ce8\u518c\u6216\u66f4\u65b0\u65f6\u68c0\u67e5\u65b0\u7528\u6237\u6570\u636e\u3002 b.\u5b89\u88c5\u7f16\u8f91\u8ba1\u7b97\u529f\u80fd \u96c6\u6210\u5e93\u6765\u8ba1\u7b97 levenshtein \u8ddd\u79bb\u6216\u4f7f\u7528\u5982\u4e0b python \u51fd\u6570\uff1a from django.db.models import q from .models import user # assume user is your user model def levenshtein_distance(a, b): [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[16],"tags":[],"class_list":["post-50010","post","type-post","status-publish","format-standard","hentry","category-16"],"_links":{"self":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/50010","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/comments?post=50010"}],"version-history":[{"count":0,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/50010\/revisions"}],"wp:attachment":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/media?parent=50010"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/categories?post=50010"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/tags?post=50010"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}