Update app.py

app.py

@@ -1,170 +1,78 @@
-import gradio as gr
-import subprocess
-import threading
-import time
 import os
-import signal
+import asyncio
+from pyrogram import Client, filters
+from pyrogram.types import Message
 
-class TrafficGenerator:
-    def __init__(self):
-        self.process = None
-        self.is_running = False
-        self.is_paused = False
-    
-    def start_traffic(self, target_url, requests_per_second, duration):
-        if self.is_running:
-            return "流量生成已在运行中！"
-        
-        try:
-            # 构建命令行参数
-            cmd = [
-                "python", "web_traffic_generator.py",
-                "--url", target_url,
-                "--rps", str(requests_per_second),
-                "--duration", str(duration)
-            ]
-            
-            self.process = subprocess.Popen(
-                cmd,
-                stdout=subprocess.PIPE,
-                stderr=subprocess.PIPE,
-                preexec_fn=os.setsid
-            )
-            self.is_running = True
-            self.is_paused = False
-            return f"开始生成流量到: {target_url}"
-        except Exception as e:
-            return f"启动失败: {str(e)}"
-    
-    def pause_traffic(self):
-        if not self.is_running:
-            return "没有运行的流量生成进程"
-        
-        if self.is_paused:
-            return "流量生成已经暂停"
-        
-        try:
-            if self.process and self.process.poll() is None:
-                os.killpg(os.getpgid(self.process.pid), signal.SIGSTOP)
-                self.is_paused = True
-                return "流量生成已暂停"
-        except Exception as e:
-            return f"暂停失败: {str(e)}"
-        return "暂停操作失败"
-    
-    def resume_traffic(self):
-        if not self.is_running:
-            return "没有运行的流量生成进程"
-        
-        if not self.is_paused:
-            return "流量生成已经在运行中"
-        
-        try:
-            if self.process and self.process.poll() is None:
-                os.killpg(os.getpgid(self.process.pid), signal.SIGCONT)
-                self.is_paused = False
-                return "流量生成已恢复"
-        except Exception as e:
-            return f"恢复失败: {str(e)}"
-        return "恢复操作失败"
-    
-    def stop_traffic(self):
-        if not self.is_running:
-            return "没有运行的流量生成进程"
-        
-        try:
-            if self.process:
-                os.killpg(os.getpgid(self.process.pid), signal.SIGTERM)
-                self.process.wait(timeout=5)
-        except:
-            try:
-                self.process.kill()
-            except:
-                pass
-        
-        self.is_running = False
-        self.is_paused = False
-        return "流量生成已停止"
+# 從 Hugging Face Spaces 的環境變數中讀取憑證
+# 這些變數需要在 Space 的 Settings -> Variables 中設定
+api_id = int(os.getenv("API_ID"))
+api_hash = os.getenv("API_HASH")
+bot_token = os.getenv("BOT_TOKEN")
 
-# 创建流量生成器实例
-traffic_gen = TrafficGenerator()
+# 初始化 Pyrogram 客戶端
+app = Client(
+    "traffic_bot",
+    api_id=api_id,
+    api_hash=api_hash,
+    bot_token=bot_token
+)
 
-def control_traffic(action, target_url, requests_per_second, duration):
-    if action == "开始":
-        return traffic_gen.start_traffic(target_url, requests_per_second, duration)
-    elif action == "暂停":
-        return traffic_gen.pause_traffic()
-    elif action == "继续":
-        return traffic_gen.resume_traffic()
-    elif action == "停止":
-        return traffic_gen.stop_traffic()
-    else:
-        return "未知操作"
-
-# 创建Gradio界面
-with gr.Blocks(title="网络流量生成器") as demo:
-    gr.Markdown("# 🌐 网络流量生成器控制面板")
-    gr.Markdown("使用此界面控制网络流量生成器的启动、暂停、继续和停止操作")
-    
-    with gr.Row():
-        with gr.Column():
-            target_url = gr.Textbox(
-                label="目标URL",
-                value="https://example.com",
-                placeholder="请输入目标URL"
-            )
-            requests_per_second = gr.Number(
-                label="每秒请求数 (RPS)",
-                value=10,
-                minimum=1,
-                maximum=1000
-            )
-            duration = gr.Number(
-                label="持续时间 (秒)",
-                value=60,
-                minimum=10,
-                maximum=3600
-            )
-        
-        with gr.Column():
-            action = gr.Radio(
-                choices=["开始", "暂停", "继续", "停止"],
-                label="控制操作",
-                value="开始"
-            )
-            control_button = gr.Button("执行操作", variant="primary")
-    
-    output = gr.Textbox(
-        label="操作结果",
-        interactive=False,
-        lines=3
-    )
-    
-    # 状态显示
-    status_display = gr.Textbox(
-        label="当前状态",
-        value="就绪",
-        interactive=False
+# 定義 /start 指令的處理器
+@app.on_message(filters.command("start"))
+async def start_command(client: Client, message: Message):
+    """
+    當用戶發送 /start 時，回應歡迎訊息和使用說明。
+    """
+    welcome_text = (
+        "👋 歡迎使用流量機器人！\n\n"
+        "這個機器人可以幫你產生看起來很真實的流量。\n\n"
+        "請使用以下指令：\n"
+        "• `/visit <網址>` - 開始訪問指定的網址\n"
+        "• `/help` - 查看幫助訊息"
     )
-    
-    def update_status():
-        if traffic_gen.is_running:
-            if traffic_gen.is_paused:
-                return "🟡 已暂停"
-            else:
-                return "🟢 运行中"
-        else:
-            return "⚪ 就绪"
-    
-    # 绑定事件
-    control_button.click(
-        fn=control_traffic,
-        inputs=[action, target_url, requests_per_second, duration],
-        outputs=output
-    ).then(
-        fn=update_status,
-        outputs=status_display
+    await message.reply_text(welcome_text)
+
+# 定義 /visit 指令的處理器
+@app.on_message(filters.command("visit"))
+async def visit_command(client: Client, message: Message):
+    """
+    當用戶發送 /visit <網址> 時，模擬訪問該網址。
+    """
+    # 檢查是否提供了網址
+    if len(message.command) < 2:
+        await message.reply_text("❌ 請提供一個網址。\n範例: `/visit https://www.google.com`")
+        return
+
+    url = message.command[1]
+
+    # 發送一個「正在處理」的訊息
+    processing_message = await message.reply_text(f"🚀 正在準備訪問 {url}...")
+
+    # 模擬一些處理時間
+    await asyncio.sleep(3)
+
+    # 更新訊息，表示已完成
+    await processing_message.edit_text(f"✅ 已成功模擬訪問 {url}！\n\n💡 這只是一個演示，實際的流量生成需要更複雜的邏輯。")
+
+# 定義 /help 指令的處理器
+@app.on_message(filters.command("help"))
+async def help_command(client: Client, message: Message):
+    """
+    提供幫助訊息。
+    """
+    help_text = (
+        "📖 **幫助說明**\n\n"
+        "這是一個基於 Pyrogram 的 Telegram 機器人範例，部署在 Hugging Face Spaces。\n\n"
+        "**可用指令：**\n"
+        "• `/start` - 開始使用機器人\n"
+        "• `/visit <網址>` - 模擬訪問一個網址\n"
+        "• `/help` - 顯示此幫助訊息\n\n"
+        "**如何部署自己的機器人？**\n"
+        "你可以 fork 這個專案，並在 Hugging Face Spaces 中設定你自己的 `API_ID`, `API_HASH`, 和 `BOT_TOKEN`。"
     )
+    await message.reply_text(help_text)
 
-if __name__ == "__main__":
-    demo.launch(server_name="0.0.0.0", server_port=7860)
+# 啟動機器人
+print("機器人正在啟動...")
+app.run()
+print("機器人已停止。")