name: mrc-monitor description: Real-time token monitoring for MRC canteen order system. Monitors Firebase Firestore for token status and notifies when orders are ready. Use when user sends commands like "mrc 73", "token 97", or "monitor 42" to monitor one or multiple canteen tokens. Handles multiple tokens simultaneously, sends independent notifications per token, and auto-exits when all tokens are ready.

MRC Canteen Monitor

Monitor MRC canteen order tokens and notify when they're ready for pickup.

Quick Start

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When user sends any command containing canteen tokens:

1. Extract all token numbers from the message
2. Start the background monitor script
3. Respond immediately with confirmation

Command Recognition

Users may send tokens with various prefixes: - "mrc 73" or "mrc 73 97 42" - "token 73" or "token 73 97" - "monitor 73" - "check 73" (one-time check only)

Starting the Monitor

Extract all numbers from the user message and start the background monitor:

python3 skills/mrc-monitor/scripts/monitor.py <platform> <channel_id> <token1> <token2> ...

Where: - platform: "telegram" or "discord" - channel_id: Current channel identifier (platform prefix is optional, e.g., telegram_123 or 123 both work) - token1, token2, ...: Token numbers to monitor

Example:

python3 skills/mrc-monitor/scripts/monitor.py telegram telegram_6046286675 73 97 42
# or
python3 skills/mrc-monitor/scripts/monitor.py telegram 6046286675 73 97 42

Background Execution

Start the monitor as a background process so the agent responds immediately:

import subprocess

# channel_id can be with or without platform prefix (both work)
cmd = ['python3', 'skills/mrc-monitor/scripts/monitor.py',
       platform, channel_id] + [str(t) for t in tokens]
subprocess.Popen(cmd, stdout=subprocess.DEVNULL, stderr=subprocess.DEVNULL)

Agent Response

After starting the monitor, respond immediately with:

✅ Monitoring tokens: 73, 97, 42
Checking every 15 seconds.
I'll notify you here when they're ready! 🍕

One-Time Check

For "check 73" commands, perform a single Firebase query and respond with status without starting a background monitor.

Monitor Behavior

The monitor script: - Polls Firebase Firestore every 15 seconds - Checks all monitored tokens in each poll - Sends "🍕 Order X is ready!" notification when a token's status is "Ready" - Removes notified tokens from the watch list - Exits automatically when all tokens are notified - Handles errors gracefully with retries - Logs all activity to skills/mrc-monitor/logs/monitor_YYYYMMDD_HHMMSS.log

Error Handling

The script automatically handles: - Network timeouts (retries up to 5 times) - HTTP errors (including rate limits) - Unexpected errors (stops after 5 consecutive failures) - Signal termination (SIGTERM, SIGINT)

On fatal errors, the script sends a notification before exiting.

Firebase Details

• Project: kanteen-mrc-blr-24cfa
• Collection: orders
• Document fields:
• studentId (string): "student-{token_number}"
• status (string): "Preparing", "Ready", "Completed"

这是一款实用的食堂订单监控工具，能自动追踪多个订单状态并在餐食就绪时及时通知你，省去了反复刷新查看的麻烦。文档说明详细易懂，工具运行稳定，错误处理机制完善，遇到网络问题会自动重试。唯一的不足是配置方式略显简陋，整体功能比较单一，仅针对 MRC 食堂场景使用。总体而言质量不错，是同类场景中的良好解决方案。