🌡️ 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. Legacy 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

✨ Key Features

1. 🏛️ Multi-Source Data Fusion (High-Fidelity)

The bot aggregates data from multiple authoritative sources, layered by reliability:

Source	Role	Coverage	Strength
Open-Meteo	Base Forecast	Global	Provides detailed 72-hour temperature curves for all cities.
Meteoblue (MB)	Precision Consensus	London Only	Traders' choice. Aggregates multiple models; excellent for microclimates.
METAR	Settlement Standard	Global Airports	The absolute truth for Polymarket settlement; real-time station data.
NWS	Official (US)	US Only	High-fidelity forecasts for US cities, critical for extreme weather events.
MGM	Official (Turkey)	Ankara	Direct access to Turkish State Meteorological Service for local official accuracy.

2. ⚡ Ultra-Fresh Data (Cache-Busting)

To counter second-by-second variations in weather betting, we implemented Zero-Cache Technology:

Micro-timestamp Tokens: Every request includes a dynamic token to force servers to bypass CDN caches.
MGM Real-time Sync: Specialized header camouflaging to bypass local Turkish API anti-crawling for Ankara.

3. ⏱️ Automated Trend Analysis

The bot doesn't just fetch data; it interprets it:

Peak Window Prediction: Automatically identifies the timeframe when today's record is most likely to be hit.
Risk Profiling: Assigns risk levels based on geographic traits (e.g., Ankara high-altitude swings, London coastal microclimates).
Source Attribution: Every data point is clearly labeled ([MGM], [METAR], [MB]) to help you weigh the data.

4. 📊 Smart Max-Temp Tracking

Optimized for Polymarket settlement logic:

Local Day Filtering: Uses city UTC offsets to strictly count observations after 00:00 local time.
Multi-dimension Monitoring: Includes "Feels Like" temperatures and 24h precipitation to assist in nuanced trade decisions.

🏗️ System Architecture

PolyWeather uses a Lightweight, Plugin-based architecture for millisecond responses.

graph TD
    User[/Telegram User/] --> Bot[bot_listener.py]
    Bot --> Collector[WeatherDataCollector]

    subgraph "Data Engine"
        Collector --> OM[Open-Meteo API]
        Collector --> MB[Meteoblue Scraper]
        Collector --> NOAA[METAR Data Center]
        Collector --> MGM[Turkish MGM API]
        Collector --> NWS[US NWS API]
    end

    Collector --> Processing[Smart Analysis & Formatting]
    Processing --> Bot
    Bot --> Reponse[/Compact Betting Snapshot/]

Logic Decoupling: weather_sources.py handles parsing; bot_listener.py handles rendering.
Legacy Modules: main.py contains the old automated trading engine. Focus has shifted to "assisted manual decision-making."

🎯 Betting Strategy Tips

Check Consensus: Compare Open-Meteo and Meteoblue (MB). Consensus usually implies higher probability.
Watch the Peak: Use /city frequently during predicted peak windows to catch momentum.
Weighting Hierarchy: Settlement is METAR; high-accuracy trend is MB (London); Official (NWS/MGM) is the "anchor."
Geographic Risk: Pay close attention to cities where "Bias will significantly amplify."

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