App PDF Bot

This repository contains the implementation of a Telegram bot that provides various functionalities for creating, merging, and manipulating PDF files directly through the Telegram interface.

Features

• PDF Creation: Create PDFs from images or text with support for Google Fonts and embedded Times New Roman.
• PDF Merging: Merge multiple PDF files into one.
• Language Support: Choose between English, Russian, and Uzbek interfaces via inline buttons.
• User-Friendly Interface: Powered by Telegram inline keyboards and commands.

Quick Start Guide

1. Getting Your Bot Token

1. Open Telegram and search for BotFather.
2. Send the command /newbot to BotFather and follow the instructions:
   • Provide a name for your bot.
   • Choose a unique username (must end with "bot").
3. Once the bot is created, BotFather will provide an API token. Copy this token for later use.

2. Setting Up Your Chat IDs

1. Create two Telegram chats:
   • Logging Chat: For logging bot activities.
   • File Storage Chat: To store PDF files.
2. Add your bot to both chats.
3. Use a tool like RawDataBot to get the chat IDs:
   • Add RawDataBot to your chats.
   • Type /start in each chat to receive the chat ID.

3. Configuration

The bot uses different configurations for development and production environments.

application.yaml

spring:  
  application:  
    name: app-pdf-bot  
  profiles:  
    active: dev  
server:  
  port: 80  

telegram:  
  api-url: "https://api.telegram.org"  
  webhook-path: "YOUR_BOT_WEBHOOK"  
  bot-name: "YOUR_BOT_USERNAME"  
  bot-token: "YOUR_BOT_TOKEN"  
  chat-id:  
    log: CHAT_ID_FOR_LOGGING  
    file-store: CHAT_ID_FOR_STORING  

logging:  
  level:  
    root: warn  
  file:  
    name: app-pdf-bot.log  
  logback:  
    rollingpolicy:  
      max-file-size: 10MB  
      max-history: 10  
  pattern:  
    console: "%d{yyyy-MM-dd HH:mm:ss} - %logger{36} - %msg%n"  

application-prod.yaml

spring:  
  datasource:  
    url: jdbc:postgresql://localhost:5432/postgres  
    username: postgres  
    password: root1234  
  jpa:  
    hibernate:  
      ddl-auto: update  
    show-sql: true  
  servlet:  
    multipart:  
      max-request-size: 100MB  
      max-file-size: 100MB  

application-dev.yaml

spring:  
  datasource:  
    url: jdbc:h2:mem:mydb  
    username: sa  
    password: root1234  
    driver-class-name: org.h2.Driver  
  jpa:  
    hibernate:  
      ddl-auto: update  
    show-sql: true  
    database-platform: org.hibernate.dialect.H2Dialect  
  servlet:  
    multipart:  
      max-request-size: 100MB  
      max-file-size: 100MB  
  h2:  
    console:  
      enabled: true  

4. Running the Bot

1. Clone the repository:

   git clone <repository_url>  
   cd app-pdf-bot  

2. Update the application.yml file:

   • Replace YOUR_BOT_WEBHOOK, YOUR_BOT_USERNAME, and YOUR_BOT_TOKEN with your bot's information.
   • Set the CHAT_ID_FOR_LOGGING and CHAT_ID_FOR_STORING with the IDs obtained earlier.

3. Build and run the bot:

   ./mvnw clean package  
   java -jar target/app-pdf-bot.jar  

Your bot is now ready to process commands!

Embedding Fonts

The repository includes:

• Google Fonts: A collection of freely available fonts for use with the bot.
• Times New Roman: Included as the default font for users who skip font selection.

Fonts are dynamically loaded by the bot using the FontService. Users can easily add or remove fonts by managing the files in the fonts directory. This flexibility allows customization to meet specific font requirements without additional configuration.

Disclaimer

The methods and tools described in this project may become outdated as technologies evolve. Please refer to the official documentation of the technologies used for the latest updates and configurations.

References and Documentation

• Spring Framework
• Telegram Bot API
• Apache PDFBox
• H2 Database
• Java Telegram Bot API (telegrambots)
• Google Fonts

Logging

Logs are saved in app-pdf-bot.log. Customize logging settings in application.yaml under the logging section. Ensure you set up the logging group as described above.

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Contributing

Contributions are welcome! Feel free to fork the repository and submit pull requests.

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License

This project is licensed under the MIT License.