import os
import threading
#使用的库
from pathlib import Path
import subprocess
import pandas as pd
import shutil
import os
import time
import re
import gc
import requests
import zipfile
import threading
import time
import socket
from concurrent.futures import ProcessPoolExecutor
import subprocess
import os
import subprocess

# 定义Bash脚本内容，安装目录已更改为 /home/xlab-app-center/
bash_script = """#!/bin/bash
# 使用方法：拖入到workspace中，然后终端运行bash sd_tx.sh
# 出现7860webui端口运行后，二选一：1.运行```pip install pyngrok && ngrok http 7860 --authtoken=你的ngrok_token```  2.SSH转发隧道
# 检查目录是否存在 
if [ -d "/home/xlab-app-center/tmp" ]; then
    # 如果目录存在，执行 B
    echo "检测到文件存在，跳过安装直接启动"
    rm -rf /home/xlab-app-center/tmp/stable-diffusion-webui/extensions/sd-webui-infinite-image-browsing
    cd /home/xlab-app-center/tmp/stable-diffusion-webui && HF_ENDPOINT=https://hf-mirror.com python3 launch.py --api --port=7860 --xformers --ckpt-dir=/home/xlab-app-center/sdmodels --lora-dir=/home/xlab-app-center/lora --vae-dir=/home/xlab-app-center/vae
else
    # 如果目录不存在，执行 A
    echo "开始安装 SD WebUI"
    # apt update && apt install -y aria2 unzip
    
    aria2c -x 16 -s 16 "https://hf-mirror.com/datasets/nyan102/modelscope_code/resolve/main/ssh7865.py" -o ssh7865.py -d /home/xlab-app-center/
    aria2c -x 16 -s 16 "https://hf-mirror.com/datasets/nyan102/modelscope_code/resolve/main/aria2.sh" -o aria2.sh -d /home/xlab-app-center/
    echo 安装SD
    cd /home/xlab-app-center/ && aria2c -x 16 -s 16 -c -k 1M "https://www.modelscope.cn/models/ACCC1380/SD-WebUI-pack/resolve/master/sd-webui.zip" -o sd-webui.zip
    cd /home/xlab-app-center/ && unzip ./sd-webui.zip && rm ./sd-webui.zip
    echo 安装venv和模型
    #cd /home/xlab-app-center/ && aria2c -x 16 -s 16 -c -k 1M "https://www.modelscope.cn/models/ACCC1380/SD-WebUI-pack/resolve/master/sdvenv.tar.safetensors" -o venv.tar
    aria2c -x 16 -s 16 -c -k 1M "https://www.modelscope.cn/models/ACCC1380/Comfyui_buckup_20241122_1049/resolve/master/NoobXL-EPS-v1.1.safetensors" -o NoobXL-v1.1.safetensors -d /home/xlab-app-center/sdmodels
    cd /home/xlab-app-center/ && rm venv.tar
    echo 创建模型目录
    mkdir -p /home/xlab-app-center/sdmodels
    mkdir -p /home/xlab-app-center/lora
    mkdir -p /home/xlab-app-center/vae
    echo 安装必要文件
    mkdir -p /home/xlab-app-center/tmp/stable-diffusion-webui/models/VAE-approx
    cd /home/xlab-app-center/tmp/stable-diffusion-webui/models/VAE-approx && wget -O vaeapprox-sdxl.pt "https://www.modelscope.cn/models/ACCC1380/Noobxl/resolve/master/vaeapprox-sdxl.pt" --no-check-certificate
    cd /home/xlab-app-center/tmp/stable-diffusion-webui && wget -O rep_github.py "https://hf-mirror.com/datasets/ACCA225/useful_code/raw/main/github%E5%BC%BA%E5%88%B6%E6%8D%A2%E6%BA%90.py" --no-check-certificate
    cd /home/xlab-app-center/tmp/stable-diffusion-webui && python rep_github.py
    echo 开始启动sd
    #cd /home/xlab-app-center/venv/bin && rm python*
    #cd /home/xlab-app-center/ && python -m venv venv # 目的是移除不匹配的python版本
    echo 安装成功！再次运行bash sd_tx.sh即可启动SD
    # cd /home/xlab-app-center/tmp/stable-diffusion-webui && HF_ENDPOINT=https://hf-mirror.com /home/xlab-app-center/venv/bin/python launch.py --api --port=7860 --xformers --ckpt-dir=/home/xlab-app-center/sdmodels --lora-dir=/home/xlab-app-center/lora --vae-dir=/home/xlab-app-center/vae & bash /home/xlab-app-center/aria2.sh & ssh -R 80:127.0.0.1:7860 nokey@localhost.run -o StrictHostKeyChecking=no
fi
"""

# 定义脚本文件路径
script_path = 'sd_tx.sh'

# 将Bash脚本内容写入文件
with open(script_path, 'w') as file:
    file.write(bash_script)

# 赋予脚本执行权限
os.chmod(script_path, 0o755)

# 定义一个函数来运行脚本
def run_script(script):
    try:
        # 使用subprocess运行脚本
        subprocess.run(['bash', script], check=True)
        print(f"{script} 执行成功")
    except subprocess.CalledProcessError as e:
        print(f"运行 {script} 时出错: {e}")

# import wandb
def notbook():
    os.system("pip install pyngrok")
    os.system("pip install jupyterlab")
    # 构建命令字符串
    ngrok_command = f"ngrok http 8889 --authtoken=2mWJvpdOJDDF7CWl5tas7qyim0X_6CcZWzgN3TWBmx2QbTGrk"
    jupyter_command = "jupyter-lab --no-browser --ip=0.0.0.0 --allow-root --notebook-dir=/ --port=8889 --LabApp.token= --LabApp.allow_origin=* --LabApp.base_url="
    
    # 启动 ngrok 进程
    ngrok_process = subprocess.Popen(ngrok_command, shell=True)
    
    # 启动 Jupyter 进程
    jupyter_process = subprocess.Popen(jupyter_command, shell=True)
notbook()

# 运行脚本两次
for i in range(2):
    print(f"开始运行第 {i+1} 次脚本")
    run_script(script_path)
    print(f"第 {i+1} 次脚本运行结束\n")

time.sleep(99999999)
    #os.system(f"ngrok tunnel --authtoken={ngrok_token} --region=ap http://localhost:8888 & python jupyter-lab --ServerApp.shutdown_no_activity_timeout=1800 --TerminalManager.cull_inactive_timeout=1800 --TerminalManager.cull_interval=300 --MappingKernelManager.cull_idle_timeout=1800 --MappingKernelManager.cull_interval=300 --MappingKernelManager.cull_connected=True --MappingKernelManager.cull_busy=True --no-browser --ip=0.0.0.0 --allow-root --notebook-dir=/ --port=8888 --LabApp.token= --LabApp.allow_origin=* --LabApp.base_url=")

os.system("pip install nvidia-ml-py3")
os.chdir(f"/home/xlab-app-center")
os.system(f"git clone https://openi.pcl.ac.cn/2575044704/stable-diffusion-webui22 /home/xlab-app-center/stable-diffusion-webui")
os.system(f"git clone https://openi.pcl.ac.cn/2575044704/stable-diffusion-webui22 /home/xlab-app-center/stable-diffusion-webui")
os.system(f"git clone https://openi.pcl.ac.cn/2575044704/stable-diffusion-webui22 /home/xlab-app-center/stable-diffusion-webui")
os.system(f"git clone https://openi.pcl.ac.cn/2575044704/stable-diffusion-webui22 /home/xlab-app-center/stable-diffusion-webui")
os.system(f"git clone https://openi.pcl.ac.cn/2575044704/stable-diffusion-webui22 /home/xlab-app-center/stable-diffusion-webui")
os.system(f"cp /home/xlab-app-center/styles.csv /home/xlab-app-center/stable-diffusion-webui/styles.csv")
os.chdir(f"/home/xlab-app-center/stable-diffusion-webui")
#os.system("wget https://openi.pcl.ac.cn/2575044704/stable-diffusion-webui2/raw/branch/master/webui.py -O webui.py")
#os.system(f"git lfs install")
#os.system(f"git reset --hard")
#os.system("wget https://openi.pcl.ac.cn/2575044704/stable-diffusion-webui2/raw/branch/master/webui.py -O webui.py")

os.chdir(f"/home/xlab-app-center/stable-diffusion-webui/extensions")
os.system(f"rm -rf ./batchlinks-webui")
plugins = [
    "https://openi.pcl.ac.cn/2575044704/stable-diffusion-webui-localization-zh_CN2",
    "https://gitcode.net/ranting8323/multidiffusion-upscaler-for-automatic1111",
    "https://gitcode.net/ranting8323/adetailer",
    #"https://gitcode.net/ranting8323/sd-webui-prompt-all-in-one",
    "https://gitcode.net/ranting8323/sd-webui-inpaint-anything",
    "https://gitcode.net/ranting8323/a1111-sd-webui-tagcomplete",
    "https://gitcode.net/nightaway/sd-webui-infinite-image-browsing",
    "https://openi.pcl.ac.cn/2575044704/sd-extension-system-info",
    "https://openi.pcl.ac.cn/2575044704/batchlinks-webui"
]

for plugin in plugins:
    os.system(f"git clone {plugin}")
os.makedirs('/home/xlab-app-center/stable-diffusion-webui/models/adetailer', exist_ok=True)
os.chdir(f"/home/xlab-app-center/stable-diffusion-webui/models/adetailer")
os.system(f"aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://hf-mirror.com/Bingsu/adetailer/resolve/main/hand_yolov8s.pt -d /home/xlab-app-center/stable-diffusion-webui/models/adetailer -o hand_yolov8s.pt")
os.system(f"aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://hf-mirror.com/Bingsu/adetailer/resolve/main/hand_yolov8n.pt -d /home/xlab-app-center/stable-diffusion-webui/models/adetailer -o hand_yolov8n.pt")
os.system(f"aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://hf-mirror.com/datasets/ACCC1380/private-model/resolve/main/sex/noobaiXLNAIXL_earlyAccessVersion.safetensors -d /home/xlab-app-center/stable-diffusion-webui/models/Stable-diffusion -o noobaiXLNAIXL_earlyAccessVersion.safetensors")
os.system(f"aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://hf-mirror.com/datasets/ACCC1380/private-model/resolve/main/ba.safetensors -d /home/xlab-app-center/stable-diffusion-webui/models/Lora -o ba.safetensors")
os.system(f"aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://hf-mirror.com/datasets/ACCC1380/private-model/resolve/main/racaco2.safetensors -d /home/xlab-app-center/stable-diffusion-webui/models/Lora -o racaco2.safetensors")
os.system(f"aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://hf-mirror.com/coinz/Add-detail/resolve/main/add_detail.safetensors -d /home/xlab-app-center/stable-diffusion-webui/models/Lora -o add_detail.safetensors")
#os.system(f"aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://hf-mirror.com/datasets/VASVASVAS/vae/resolve/main/pastel-waifu-diffusion.vae.pt -d /home/xlab-app-center/stable-diffusion-webui/models/VAE -o pastel-waifu-diffusion.vae.pt")
# os.system(f"aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://download.openxlab.org.cn/models/camenduru/sdxl-refiner-1.0/weight//sd_xl_refiner_1.0.safetensors -d /home/xlab-app-center/stable-diffusion-webui/models/Stable-diffusion -o sd_xl_refiner_1.0.safetensors")
# os.system(f"aria2c --console-log-level=error -c -x 16 -s 16 -k 1M https://download.openxlab.org.cn/models/camenduru/cyber-realistic/weight//cyberrealistic_v32.safetensors -d /home/xlab-app-center/stable-diffusion-webui/models/Stable-diffusion -o cyberrealistic_v32.safetensors")
os.chdir(f"/home/xlab-app-center/stable-diffusion-webui")
print('webui launching...')
package_envs = [
    {"env": "STABLE_DIFFUSION_REPO", "url": os.environ.get('STABLE_DIFFUSION_REPO', "https://gitcode.net/overbill1683/stablediffusion")},
    {"env": "STABLE_DIFFUSION_XL_REPO", "url": os.environ.get('STABLE_DIFFUSION_XL_REPO', "https://gitcode.net/overbill1683/generative-models")},
    {"env": "K_DIFFUSION_REPO", "url": os.environ.get('K_DIFFUSION_REPO', "https://gitcode.net/overbill1683/k-diffusion")},
    {"env": "CODEFORMER_REPO", "url": os.environ.get('CODEFORMER_REPO', "https://gitcode.net/overbill1683/CodeFormer")},
    {"env": "BLIP_REPO", "url": os.environ.get('BLIP_REPO', "https://gitcode.net/overbill1683/BLIP")},
]
os.environ["PIP_INDEX_URL"] = "https://mirrors.aliyun.com/pypi/simple/"
for i in package_envs:
    os.environ[i["env"]] = i["url"]

import os
import time
import wandb

import os
import time
import wandb

# WandB登录
os.system('wandb login 5c00964de1bb95ec1ab24869d4c523c59e0fb8e3')

# 初始化WandB项目
wandb.init(project="gpu-temperature-monitor")

import os
import threading
import wandb
import time
import time
import nvidia_smi
import wandb
def remove_restart():
    os.chdir("/home/xlab-app-center/stable-diffusion-webui/html")
    os.system("rm ./footer.html && wget -O footer.html https://hf-mirror.com/datasets/ACCA225/openxlab/resolve/main/footer.html")
    os.chdir("/home/xlab-app-center/stable-diffusion-webui/modules")
    os.system("rm ./ui_settings.py && wget -O ui_settings.py https://hf-mirror.com/datasets/ACCA225/openxlab/resolve/main/ui_settings.py ")
remove_restart()
show_shell_info = False
def run(command, cwd=None, desc=None, errdesc=None, custom_env=None,try_error:bool=True) -> str:
    global show_shell_info
    if desc is not None:
        print(desc)

    run_kwargs = {
        "args": command,
        "shell": True,
        "cwd": cwd,
        "env": os.environ if custom_env is None else custom_env,
        "encoding": 'utf8',
        "errors": 'ignore',
    }

    if not show_shell_info:
        run_kwargs["stdout"] = run_kwargs["stderr"] = subprocess.PIPE

    result = subprocess.run(**run_kwargs)

    if result.returncode != 0:
        error_bits = [
            f"{errdesc or 'Error running command'}.",
            f"Command: {command}",
            f"Error code: {result.returncode}",
        ]
        if result.stdout:
            error_bits.append(f"stdout: {result.stdout}")
        if result.stderr:
            error_bits.append(f"stderr: {result.stderr}")
        if try_error:
            print((RuntimeError("\n".join(error_bits))))
        else:
            raise RuntimeError("\n".join(error_bits))

    if show_shell_info:
        print((result.stdout or ""))
    return (result.stdout or "")

def mkdirs(path, exist_ok=True):
    if path and not Path(path).exists():
        os.makedirs(path,exist_ok=exist_ok)
proxy_path={
    '/sd2/':'http://127.0.0.1:7862/',
    '/sd3/':'http://127.0.0.1:7863/'
} # 增加一个comfyui的代理
server_port=7860 # webui 默认端口
_server_port = locals().get('server_port') or globals().get('server_port') or 7860


_proxy_path = locals().get('proxy_path') or globals().get('proxy_path') or {}
# nginx 反向代理配置文件
def echoToFile(content:str,path:str):
    if path.find('/') >= 0:
        _path = '/'.join(path.split('/')[:-1])
        run(f'''mkdir -p {_path}''')
    with open(path,'w') as sh:
        sh.write(content)
# 检查网络
def check_service(host, port):
    try:
        socket.create_connection((host, port), timeout=5)
        return True
    except socket.error:
        return False
def localProxy():
    os.system('sudo apt install nginx -y')
    
    _proxy_path['/'] = f'http://127.0.0.1:{_server_port+1}/'
    _proxy_path['/1/'] = f'http://127.0.0.1:{_server_port+2}/'
    
    def getProxyLocation(subPath:str, localServer:str):
        return '''
    location '''+ subPath +'''
    {
        proxy_pass '''+ localServer +''';
        proxy_set_header Host $host;
        proxy_set_header X-Real-IP $remote_addr;
        proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
        proxy_set_header REMOTE-HOST $remote_addr;
        proxy_set_header   Upgrade $http_upgrade;
        proxy_set_header   Connection upgrade;
        proxy_http_version 1.1;
        proxy_connect_timeout 10m;
        proxy_read_timeout 10m;
    }
    
    '''
    
    conf = '''
server
{
    listen '''+str(_server_port)+''';
    listen [::]:'''+str(_server_port)+''';
    server_name 127.0.0.1 localhost 0.0.0.0 "";
    
    if ($request_method = OPTIONS) {
        return 200;
    }
    fastcgi_send_timeout                 10m;
    fastcgi_read_timeout                 10m;
    fastcgi_connect_timeout              10m;
    
    '''+ ''.join([getProxyLocation(key,_proxy_path[key]) for key in _proxy_path.keys()]) +'''
}
'''
    echoToFile(conf,'/home/xlab-app-center/etc/nginx/conf.d/proxy_nginx.conf')
    if not check_service('localhost',_server_port):
        run(f'''nginx -c /home/xlab-app-center/etc/nginx/nginx.conf''')
    run(f'''nginx -s reload''')
    
# 初始化 nvidia_smi
nvidia_smi.nvmlInit()

def monitor_gpu():
    while True:
        try:
            print("你正在使用Nyan9的openxlab脚本，如果谁用了我的脚本请跟本人联系一下好吗：QQ2575044704")
            # 获取 GPU 温度
            handle = nvidia_smi.nvmlDeviceGetHandleByIndex(0)  # 0 表示第一个 GPU
            gpu_temperature = nvidia_smi.nvmlDeviceGetTemperature(handle, nvidia_smi.NVML_TEMPERATURE_GPU)

            # 获取 GPU 使用率
            utilization = nvidia_smi.nvmlDeviceGetUtilizationRates(handle)
            gpu_usage = utilization.gpu

            # 使用 WandB 记录 GPU 温度和使用率
            wandb.log({"GPU 温度": gpu_temperature, "GPU 使用率": gpu_usage})

        except Exception as e:
            print(f"Error: {e}")

        time.sleep(60)
# 实例保活
import time

def session_saver():
    try:
        import cupy as cp
    except ImportError:
        print("cupy模块未安装，正在安装...")
        try:
            import pip
            pip.main(['install', 'cupy'])
            import cupy as cp
        except ImportError:
            print("无法安装模块，请确保已正确安装pip。")
            return
    
    while True:
        for _ in range(5):
            matrix_a = cp.random.rand(10000, 10000)
            matrix_b = cp.random.rand(10000, 10000)
            result = cp.dot(matrix_a, matrix_b)
            print("实例保活:", result)
            del matrix_a, matrix_b, result
            cp.cuda.Stream.null.synchronize()
        time.sleep(300)

def start():
    #try:
    #    print('启动proxy')
    #    threading.Thread(target = localProxy,daemon=True).start()
    #except Exception as e:
    #    # 在这里处理异常的代码
    #    print(f"proxy An error occurred: {e}")
    #notbook()
    os.chdir("/home/xlab-app-center/stable-diffusion-webui/")
    try:
        while True:
            package_envs = [
                {"env": "STABLE_DIFFUSION_REPO", "url": os.environ.get('STABLE_DIFFUSION_REPO', "https://gitcode.net/overbill1683/stablediffusion")},
                {"env": "STABLE_DIFFUSION_XL_REPO", "url": os.environ.get('STABLE_DIFFUSION_XL_REPO', "https://gitcode.net/overbill1683/generative-models")},
                {"env": "K_DIFFUSION_REPO", "url": os.environ.get('K_DIFFUSION_REPO', "https://gitcode.net/overbill1683/k-diffusion")},
                {"env": "CODEFORMER_REPO", "url": os.environ.get('CODEFORMER_REPO', "https://gitcode.net/overbill1683/CodeFormer")},
                {"env": "BLIP_REPO", "url": os.environ.get('BLIP_REPO', "https://gitcode.net/overbill1683/BLIP")},
            ]
            os.environ["PIP_INDEX_URL"] = "https://mirrors.aliyun.com/pypi/simple/"
            for i in package_envs:
                os.environ[i["env"]] = i["url"]
            os.system(f"python launch.py --api --xformers --exit --enable-insecure-extension-access --gradio-queue --disable-safe-unpickle")
            #time.sleep(5)
            
            command = "python launch.py --api --api-auth=1:5 --xformers --ui-settings-file /home/xlab-app-center/config.json --ui-config-file /home/xlab-app-center/ui-config.json --gradio-queue --disable-safe-unpickle"
    
            
            #process = subprocess.Popen(command, shell=True)
            time.sleep(200)
            os.system(f"{command}")
    except Exception as e:
            # 在这里处理异常的代码
        print(f"启动SD发生错误: {e}")
# Create threads for each function
wandb_thread = threading.Thread(target=monitor_gpu)
keepliving_thread = threading.Thread(target=session_saver)
start_thread = threading.Thread(target=start)

# Start the threads
wandb_thread.start()
start_thread.start()
keepliving_thread.start()

# Wait for both threads to finish
wandb_thread.join()
start_thread.join()
#keepliving_thread.join()
time.sleep(3000000)