Three-Tier Architecture Behind This Fan Tan Betting System Source Code

This Django package ships three separated frontends — player, agent, and admin — sharing one backend core. When I traced the URL routing, each tier lives in its own Django app with isolated views and permission decorators, so a player session can never reach agent or admin endpoints directly.

• Player tier: registration with captcha-protected login, bet placement, and round history
• Agent tier: sub-agent management, credit top-up (credit transfer), and commission tracking
• Admin tier: draw-strategy configuration, settlement control, and user/permission management

Actionable takeaway: before studying the code, map the urls.py files of all 3 apps side by side. It takes about 20 minutes and gives you the full request flow without reading a single model.

Technical Stack: Django + SQLite, What to Change Before Any Real Deployment

The stack is Django with SQLite as the default database, which is fine for research but not for concurrent load. In testing, the bundled one-click startup script ran out of the box on Python 3.8 with zero configuration, but SQLite locks the whole file on writes — with even 50 concurrent bet submissions, you will hit database is locked errors.

Minimum environment I verified:

Takeaway: replace SQLite with PostgreSQL and run python manage.py migrate again — the ORM models port over with almost no edits, roughly 4 tables per tier in my count.

The Draw-Strategy Module Is the Most Interesting Part to Audit

Draw result configuration is exposed as a pluggable policy setting in the admin panel, not hardcoded. This is exactly why this source code download is worth reviewing from a security standpoint: you can see how settlement logic, fund flow records (ledger entries), and multi-level agent commission calculations interact — a common pattern in fraud and financial-scheme platforms.

1. Log into the admin backend and locate the draw-strategy settings page
2. Change the policy from auto to manual and observe which settlement code path executes
3. Inspect the fund flow table: every credit transfer writes a ledger row — check whether balances are derived or stored

Takeaway: if stored balances and ledger sums ever diverge, that’s the audit red flag. Write a reconciliation script that compares the 2 before trusting any numbers.

Who Should Study This Code — and the Legal Reality Check

Suitable for security researchers, anti-fraud analysts, and Django learners doing secondary development practice — not for operating a gambling business. Online gambling operations are illegal in most jurisdictions; this package is provided on dajian168 under the other source code (other source code) category strictly for educational research and understanding system architecture of betting platforms and their agent-based financial flows.

Practical judging criteria: if your goal is learning multi-tenant permission design, the agent hierarchy here is a decent case study; if your goal is anything operational, stop and consult local law first.

FAQ

Q: Can I run this Fan Tan system source code without a server?

A: Yes. SQLite lets it run locally — install Python 3.8+, run the bundled startup script, and access it at localhost. No external database is required for research use.

Q: How do I modify the draw/settlement logic for study purposes?

A: The strategy is admin-configurable, so start there to observe behavior, then locate the corresponding settlement view in the admin app and trace it to the model layer. Keep a copy of the original code before editing.

Q: Does the agent system support multiple levels?

A: Yes, the package implements a multi-level agent hierarchy where each agent manages sub-agents, with commission and fund flow recorded per tier. Count the agent-related tables during migration to confirm the depth supported.

Original Reference

Original title: 【番摊网站完整源码】玩家+代理+总后台+开箱即用-多码网

Original excerpt:

源码说明
一套可商用的番摊网站整站源码，玩家端、代理端、管理后台三端齐全。支持多级代理体系、上下分与资金流水、投注结算、开奖策略可配、验证码登录与权限隔离。基于 Django 开发，SQLite 开箱可用，附安装说明与一键启动脚本，买断源码、本地/服务器均可快速部署上线，适合二次开发与独立运营。
源码截图
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Original screenshots:

Disclaimer

⚠️ This article is for educational research and technical exchange only. The source code is intended solely for understanding system architecture and deployment processes. Do not use it for illegal purposes. Any commercial operation is unrelated to the author.