🌡️ PolyWeather: Real-time Weather Query & Analysis Bot

An intelligent weather information bot designed to provide ultra-fast, live meteorological data, high-fidelity forecasts, and smart trend analysis. Built for speed and accuracy, it bypasses network caching to deliver the most up-to-date reports from global weather stations.

🚀 Quick Start

Requirements

Python 3.11+
Dependencies: pip install -r requirements.txt

Running Locally (Windows/Linux)

# Windows
py -3.11 run.py

# Linux/VPS
python3 run.py

Note: The system is currently in Weather Query Mode. Active market monitoring and automated trading modules are suspended.

🤖 Telegram Bot Commands

Command	Description	Usage
`/city [name]`	Query City Weather	Get detailed forecasts, METAR & trend analysis
`/id`	Get Chat ID	Retrieve your current Telegram Chat ID
`/help`	Help	Display all available commands

/city Command Example

/city London

Real-time Output:

📍 London 天气详情
⏱️ 生成时间: 00:41:17
═══ ═══ ═══ ═══ ═══ ═══
🕐 当地时间: 16:41

📊 Open-Meteo 7天预测
👉 今天: 最高 12°C
02-09: 最高 11°C

✈️ 机场实测 (EGLC)
🌡️ 10.0°C
💨 风速: 12kt
🕐 观测: 16:20 (当地)

💡 态势分析
📉 处于降温期：气温已开始从峰值下滑，今日大概率不会再反弹。
🍃 清劲风：空气流动快，虽然有助于散热，但可能伴随阵风引起微小波动。

✨ Key Features

1. 💡 Intelligent Trend Analysis

The bot doesn't just show numbers; it performs a Live vs. Forecast analysis:

Peak Detection: Determines if the daily high has likely already passed.
Atmospheric Physics: Uses humidity and dew point to predict if the temperature will "stall" at night.
Volatility Alerts: Flags high wind speeds that might cause rapid temperature swings.

2. ✈️ High-Fidelity Airport Data (METAR)

Directly connected to NOAA Aviation Weather, the bot fetches raw METAR data from major international airports.

Automatic conversion from UTC to City Local Time.
Real-time station observations (Temperature, Wind, Dew Point).

3. ⚡ Ultra-Fresh Data (Cache Busting)

Engineered to bypass ISP and proxy caches:

Every request includes a micro-timestamp token.
Forces weather servers (Open-Meteo/NOAA) to deliver fresh results instead of stale cached snapshots.

🏗️ Architecture Note

The project contains a legacy Monitoring Engine and Paper Trading System (located in main.py). These features are currently deactivated to prioritize high-speed on-demand weather reporting.

To re-enable monitoring: Uncomment monitor_thread.start() in run.py.
Documentation for inactive features: See MARKET_DISCOVERY.md and PAPER_TRADING_GUIDE.md.

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