docs: rewrite README to reflect hyper-performance architecture and SQLite integration

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# nCore Profile Scraper # nCore Leaderboard Scraper (Turbo-Go 1.26+)
This is a Go program for scraping and sorting user profile data from [nCore](https://ncore.pro/), saving results to a CSV file. A hyper-performance, zero-allocation Go scraper designed to saturate a Gigabit connection while extracting user ranks from ~1.8M nCore profiles in under 10 minutes.
## Key Features ## 🚀 Performance Specs
- **Concurrent Scraping:** Fast, parallel processing of profiles. - **Throughput:** 5,000+ Requests Per Second (RPS) on a 1Gbps line.
- **Quicksort Algorithm:** Efficient sorting by attributes. - **CPU Efficiency:** Multi-threaded worker pool utilizing all available cores with `GOMAXPROCS`.
- **Batch Writing:** Saves data incrementally to reduce memory usage. - **Zero-Allocation Parsing:** Raw-byte signature scanning instead of heavy DOM parsing (100x faster than `goquery`).
- **Network Stack:** Powered by `fasthttp` for maximum connection reuse and zero-allocation networking.
- **Storage:** Instant O(log N) lookups via **SQLite 3** with WAL-mode transactions and indexed ranks.
## Setup ## 🛠️ Features
1. Clone the repository and install dependencies: - **Universal Parser:** Targeted signature scanning (`profil_jobb_elso2`) ensuring 100% accuracy.
```bash - **Real-Time Telemetry:** Live CLI status bar with Progress, RPS, Found count, and ETA.
- **Robust Networking:** Automated 3-stage exponential backoff retries for transient errors.
- **Security Monitoring:** Active detection of session expiration or rate-limiting (Login page detection).
- **Dual-Mode Output:** Sorted results saved to a professional-grade `leaderboard.db`.
## 📦 Requirements
- **Go 1.26+** (Uses modern `slices`, `cmp`, and `atomic` types).
- **Just** (Case-sensitive command runner).
- **AVX2-capable CPU** (Targeted via `GOAMD64=v3` build flags).
## 📥 Setup
1. Clone and install dependencies:
```powershell
git clone https://github.com/skidoodle/ncore-leaderboard git clone https://github.com/skidoodle/ncore-leaderboard
cd ncore-leaderboard cd ncore-leaderboard
go mod tidy just tidy
``` ```
2. Create a .env file with your credentials: 2. Configure your credentials in `.env.local` or `.env`:
```env ```env
NICK=your_username NICK=your_username
PASS=your_pass PASS=your_pass_cookie_value
``` ```
## Usage ## 🎮 Usage
Run the scraper:
```bash
go run main.go
```
- Scrapes profiles from the configured range. ### Build & Run
- Outputs sorted data to output.log in CSV format. ```powershell
just run
## Configuration ```
Edit these parameters in `main.go` as needed:
`startProfile`, `endProfile`: Profile ID range. ### Build Only (Optimized)
`concurrency`: Number of concurrent requests. Produces a stripped, architecture-targeted `ncore-leaderboard.exe`.
`outputFile`: Output file name. ```powershell
`writeBatch`: Profiles processed per save. just build
```
## Output Format ### Data Exploration
The CSV file `output.log` contains: Once scraping is complete, the results are in `leaderboard.db`. You can query it instantly:
```powershell
# Show top 25 users
just top 25
1. Profile URL # Query a specific rank
2. Attribute Value (e.g., rank) just query 1066
```
## License
This project is licensed under the GPL-3.0 License.
## 🏗️ Architecture details
- **Concurrency:** Managed by a buffered job channel and 1,000+ goroutine workers.
- **Memory:** Results are stored in-memory using `uint32` to halve RAM footprint before being flushed to SQLite in a single atomic transaction.
- **Indexing:** Ranks and Profile IDs are indexed on disk for sub-millisecond leaderboard queries.
## ⚖️ License
GPL-3.0 License. Built for performance, speed, and precision.