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# CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
## Project Overview
Telegram bot built with TypeScript and [Telegraf](https://telegraf.js.org/). Uses Markov chains with trigrams to generate sentences from learned messages. Each chat has its own isolated Markov chain, creating unique "personalities" per group.
## Commands
```bash
npm run dev # Development with hot-reload (tsx watch)
npm run build # Compile TypeScript to dist/
npm start # Run production build
docker compose up -d --build # Docker deployment
```
## Architecture
```
src/
├── index.ts # Bot entry point, commands, message handling
├── markov.ts # Markov chain with trigram support
└── database.ts # SQLite persistence layer
```
**Data flow:**
1. Message received → `chain.learn(text)` → SQLite
2. Trigger check (reply/mention/random)
3. If triggered → `chain.generate()` → reply
**Per-chat isolation:**
- Each chat has separate Markov chain data
- Each chat has its own response probability setting
- In-memory cache (`chains` Map) loaded lazily from DB
## Key Implementation Details
### Markov Chain (markov.ts)
- Uses **trigrams** (order=2): "word1 word2" → "word3"
- Better grammatical coherence than bigrams
- Weighted random selection based on frequency
- Generates sentences up to 20 words
### Database (database.ts)
- SQLite with `better-sqlite3` (synchronous API)
- Three tables: `chat_settings`, `markov_transitions`, `markov_starts`
- Transactions for atomic updates
- Automatic cleanup every 24h
### Cleanup Mechanism
```typescript
const MAX_TRANSITIONS_PER_CHAT = 10000; // Upper limit
const MIN_TRANSITION_COUNT = 2; // Remove rare entries
const MIN_TRANSITIONS_TO_CLEANUP = 100; // Protect new chats
```
### Response Triggers
1. Reply to bot's message → always respond
2. @username mention → always respond
3. Random probability (default 10%) in groups
4. Always respond in private chats
## Environment
- `BOT_TOKEN` - Telegram bot token (required)
- Database: `data/ulfbot.db` (auto-created)
## Docker
- Uses `node:20-slim` for better-sqlite3 compatibility
- Volume `ulfbot-data` mounts to `/app/data`
- Build locally: `npm run build` then `docker compose up -d --build`
## Common Modifications
**Change response probability default:**
```typescript
// database.ts
return { probability: (row?.probability ?? 10) }; // Change default
```
**Change cleanup interval:**
```typescript
// index.ts
const CLEANUP_INTERVAL_MS = 24 * 60 * 60 * 1000; // Currently 24h
```
**Change Markov order (affects grammar quality):**
```typescript
// markov.ts
constructor(order: number = 2) // Higher = better grammar, needs more data
```