Attributes and Statistics

Relevant source files

The following files were used as context for generating this wiki page:

• index.html
• Quest.html
• README.md
• Task Database Structure (Internal logic within index.html)
• Local Storage Schema (Internal logic within index.html)

The "Attributes and Statistics" system serves as the core progression engine for the Solo Leveling project. It translates user activity—specifically the completion of daily tasks—into quantifiable data points, including Experience Points (XP), Levels, and Ranks. This system is designed to simulate a gamified progression environment where consistency is rewarded and negligence results in automated penalties.

The system relies on a central data structure stored in the browser's local storage, which tracks total points, daily tasks, and historical penalty data. This data is processed through mathematical functions to determine the user's current standing within the hierarchy.

Sources: index.html:106-108, Quest.html:106-108

Data Model and Persistence

The system state is maintained within a single JSON object persisted via localStorage. This ensures that a user's progress is saved across sessions without the need for a backend database.

System Data Structure

Field	Type	Description
points	Number	The cumulative XP earned by the user.
lastUpdate	String	ISO date string of the last daily reset.
dailyTasks	Array	Objects containing the name, category, and completion status of today's tasks.
lastPenalty	Number	The amount of XP deducted during the last daily cycle reset.

Sources: index.html:106-108, Quest.html:106-108

The diagram above illustrates the relationship between the primary system state and the daily task entries.

Progression Mechanics: Ranks and Levels

The progression logic is bifurcated into Ranks (qualitative milestones) and Levels (quantitative granular progress).

Rank Configuration

Ranks are determined by the getRankConfig(pts) function. Each rank tier defines the rewards for task completion, the penalties for failure, and the difficulty level of tasks assigned.

Point Threshold	Rank	Reward (+XP)	Penalty (-XP)	Difficulty Key
3000+	R	6	8	r
2000	SS	6	8	r
1200	S	4	6	a
800	A	4	6	a
500	B	4	6	d
300	C	3	5	d
150	D	3	5	d
70	E	2	3	f
< 70	F	2	3	f

Sources: index.html:110-120, Quest.html:110-120

Level Calculation Logic

Levels are calculated dynamically based on a sliding scale requirement. For levels 1 through 5, the requirement is fixed at 5 points. Beyond level 5, the requirement for the next level is determined by the current rank's req value.

Sources: index.html:122-130, Quest.html:122-130

The Daily Cycle and Penalty System

The system operates on a 24-hour cycle based on the Asia/Riyadh timezone. This cycle governs task generation and penalty application.

Cycle Logic Flow

1. Date Validation: The system compares lastUpdate with the current date in Riyadh.
2. Penalty Assessment: If the dates differ, the system iterates through dailyTasks from the previous day. For every task where d (done) is false, a penalty is deducted from points based on the rank's pen value.
3. Task Generation: New tasks are randomly selected from the taskDatabase based on the current rank's difficulty (f, d, a, or r).

Sources: index.html:157-183, Quest.html:157-183

The flow diagram depicts the automated maintenance routine executed upon system initialization.

Implementation Details

Task Database

Tasks are categorized into physical, discipline, and mental. Each task provides varying descriptions based on the difficulty level mapped from the user's rank.

const taskDatabase = {
    physical: [
        { f: "10 Pushups", d: "25 Pushups", a: "50 Pushups", r: "100 Pushups" },
        // ... other tasks
    ]
};

Sources: index.html:90-104, Quest.html:90-104

UI Synchronization

The updateUI() function handles the visual representation of statistics. It updates the Level Badge, Rank Display (including dynamic colors and text shadows), the XP Progress Bar, and status messages indicating recent rewards or penalties.

Sources: index.html:132-148, Quest.html:132-148

Summary

The Attributes and Statistics system provides a robust framework for tracking personal growth. By integrating a dynamic ranking system with a strict daily penalty cycle, it ensures that "points" and "levels" reflect genuine consistency. The architecture leverages local storage for persistence and uses timezone-aware logic to synchronize the experience with the user's real-world day.