Faqqer Bot

A Telegram bot with three core functions:

Core Components

1. FAQ Bot (faqqer_bot.py)

• Purpose: Main bot that listens to channels and responds to questions using OpenAI
• Function: Provides intelligent FAQ responses based on trained knowledge
• Usage: Use /faq <question> or mention @faqqer <question> in group chats

2. Blockchain Stats Job (blockchain_job.py)

• Purpose: Posts blockchain statistics (block height, hash rates) on schedule
• Output: Posts to configured group IDs with network statistics
• Schedule: Hash-rate posts run twice daily (every 12 hours)

3. Customer Service Analysis Job (customer_analysis_job.py)

• Purpose: Analyzes chat messages for customer service issues
• Process:
  • Fetches last 3 hours of messages from channels
  • Uses OpenAI to categorize customer issues
  • Posts analysis summary to customer service group
• Schedule: Runs every 3 hours automatically
• Manual trigger: /analyze_support command

Configuration

All configuration is centralized in blockchain_job.py:

# Group IDs for posting announcements
group_ids = [-2165121610, -1002281038272, -1188782007]

# Customer Analysis Settings
ANALYSIS_CHANNELS = ["tariproject", "OrderOfSoon"]  # Channels to monitor
ANALYSIS_HOURS = 3  # Hours of history to analyze
CUSTOMER_SERVICE_GROUP_ID = group_ids[0]  # Where to post analysis results

Usage

1. Setup: Configure .env file with Telegram API credentials
2. Run: python faqqer_bot.py
3. Monitor: Bot runs all three functions automatically

The bot will:

• Respond to FAQ questions via slash command or @mention in groups
• Post blockchain stats twice daily
• Analyze customer issues every 3 hours

Group Output

• Blockchain stats: Posted to group_ids[0] (Order of Soon)
• Customer analysis: Posted to CUSTOMER_SERVICE_GROUP_ID (Order of Soon)
• FAQ responses: Posted directly in the channels where questions are asked

Installation

1. Install dependencies: pip install -r requirements.txt
2. Configure .env with Telegram and OpenAI API keys
3. Run: python faqqer_bot.py