- Trading skills (OKX, dividend, lottery, quantitative) - Creative skills (ASCII art, diagrams, video) - Development skills (GitHub, debugging, TDD) - Research skills (arXiv, blog monitoring) - Productivity skills (email, documents, notes) - MCP integration skills - Custom user skills
118 lines
3.3 KiB
Python
118 lines
3.3 KiB
Python
#!/usr/bin/env python3
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"""
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Telegram Callback Query Handler
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监听inline keyboard按钮点击,执行交易确认/取消
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"""
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import os
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import re
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import sys
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import json
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import time
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import requests
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import subprocess
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def _load_env():
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env_path = os.path.expanduser("~/.hermes/.env")
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with open(env_path) as f:
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for line in f:
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m = re.match(r'TELEGRAM_BOT_TOKEN=(.*)', line.strip())
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if m:
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return m.group(1).strip()
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return ''
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BOT_TOKEN = _load_env()
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PROXY = 'http://127.0.0.1:7890'
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SCRIPT_DIR = os.path.dirname(os.path.abspath(__file__))
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NOTIFIER = os.path.join(SCRIPT_DIR, "trade_notifier.py")
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LAST_UPDATE_FILE = os.path.expanduser("~/.hermes/trading/last_update_id")
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os.makedirs(os.path.dirname(LAST_UPDATE_FILE), exist_ok=True)
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def get_updates(offset=None, timeout=30):
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"""Long-poll for updates"""
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url = f"https://api.telegram.org/bot{BOT_TOKEN}/getUpdates"
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params = {"timeout": timeout, "allowed_updates": '["callback_query"]'}
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if offset:
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params["offset"] = offset
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resp = requests.get(url, params=params, proxies={"https": PROXY, "http": PROXY}, timeout=timeout+10)
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return resp.json()
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def load_last_update_id():
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"""Load last processed update ID"""
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try:
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with open(LAST_UPDATE_FILE) as f:
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return int(f.read().strip())
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except:
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return None
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def save_last_update_id(update_id):
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"""Save last processed update ID"""
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with open(LAST_UPDATE_FILE, "w") as f:
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f.write(str(update_id))
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def handle_callback_query(update):
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"""Process a callback query"""
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cb = update.get("callback_query", {})
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if not cb:
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return
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callback_data = cb.get("data", "")
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callback_query_id = cb.get("id", "")
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message = cb.get("message", {})
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chat_id = str(message.get("chat", {}).get("id", ""))
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message_id = message.get("message_id", 0)
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print(f"[{time.strftime('%H:%M:%S')}] Callback: {callback_data} from chat {chat_id}")
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# Call trade_notifier.py callback handler
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result = subprocess.run(
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["python3", NOTIFIER, "callback", callback_data, str(chat_id), str(message_id), callback_query_id],
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capture_output=True, text=True, timeout=60
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)
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if result.returncode != 0:
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print(f" Error: {result.stderr[:200]}")
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else:
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print(f" Result: {result.stdout[:200]}")
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def main():
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print("🔄 Callback handler started, waiting for button clicks...")
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last_id = load_last_update_id()
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while True:
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try:
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result = get_updates(offset=(last_id + 1) if last_id else None, timeout=30)
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if not result.get("ok"):
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print(f"API error: {result}")
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time.sleep(5)
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continue
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updates = result.get("result", [])
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for update in updates:
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update_id = update.get("update_id", 0)
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if update.get("callback_query"):
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handle_callback_query(update)
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last_id = update_id
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save_last_update_id(last_id)
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except requests.exceptions.Timeout:
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continue
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except KeyboardInterrupt:
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print("\n🛑 Stopped")
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break
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except Exception as e:
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print(f"Error: {e}")
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time.sleep(5)
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if __name__ == "__main__":
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main()
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