210 lines
8.5 KiB
Python
210 lines
8.5 KiB
Python
import docker, sys, os, time, requests, psutil
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import subprocess
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from docker.types import Mount, DeviceRequest
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from loguru import logger
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src_dir = os.path.join(
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os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
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)
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sys.path.append(src_dir)
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from configs.model_config import USE_FASTCHAT
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from configs.server_config import (
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NO_REMOTE_API, SANDBOX_SERVER, SANDBOX_IMAGE_NAME, SANDBOX_CONTRAINER_NAME,
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WEBUI_SERVER, API_SERVER, SDFILE_API_SERVER, CONTRAINER_NAME, IMAGE_NAME, DOCKER_SERVICE,
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DEFAULT_BIND_HOST,
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)
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import platform
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system_name = platform.system()
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USE_TTY = system_name in ["Windows"]
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def check_process(content: str, lang: str = None, do_stop=False):
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'''process-not-exist is true, process-exist is false'''
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for process in psutil.process_iter(["pid", "name", "cmdline"]):
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# check process name contains "jupyter" and port=xx
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# if f"port={SANDBOX_SERVER['port']}" in str(process.info["cmdline"]).lower() and \
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# "jupyter" in process.info['name'].lower():
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if content in str(process.info["cmdline"]).lower():
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logger.info(f"content, {process.info}")
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# 关闭进程
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if do_stop:
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process.terminate()
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return True
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return False
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return True
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def check_docker(client, container_name, do_stop=False):
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'''container-not-exist is true, container-exist is false'''
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for i in client.containers.list(all=True):
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if i.name == container_name:
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if do_stop:
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container = i
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container.stop()
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container.remove()
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return True
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return False
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return True
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def start_docker(client, script_shs, ports, image_name, container_name, mounts=None, network=None):
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container = client.containers.run(
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image=image_name,
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command="bash",
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mounts=mounts,
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name=container_name,
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# device_requests=[DeviceRequest(count=-1, capabilities=[['gpu']])],
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# network_mode="host",
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ports=ports,
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stdin_open=True,
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detach=True,
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tty=USE_TTY,
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network=network,
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)
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logger.info(f"docker id: {container.id[:10]}")
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# 启动notebook
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for script_sh in script_shs:
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if USE_FASTCHAT and "llm_api" in script_sh:
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logger.debug(script_sh)
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response = container.exec_run(["sh", "-c", script_sh])
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logger.debug(response)
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elif "llm_api" not in script_sh:
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logger.debug(script_sh)
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response = container.exec_run(["sh", "-c", script_sh])
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logger.debug(response)
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return container
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#########################################
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############# 开始启动服务 ###############
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#########################################
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client = docker.from_env()
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client.containers.run
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network_name ='my_network'
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def start_sandbox_service():
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networks = client.networks.list()
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if any([network_name==i.attrs["Name"] for i in networks]):
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network = client.networks.get(network_name)
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else:
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network = client.networks.create('my_network', driver='bridge')
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mount = Mount(
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type='bind',
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source=os.path.join(src_dir, "jupyter_work"),
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target='/home/user/chatbot/jupyter_work',
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read_only=False # 如果需要只读访问，将此选项设置为True
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)
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mounts = [mount]
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# 沙盒的启动与服务的启动是独立的
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if SANDBOX_SERVER["do_remote"]:
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# 启动容器
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logger.info("start container sandbox service")
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script_shs = ["bash jupyter_start.sh"]
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JUPYTER_WORK_PATH = "/home/user/chatbot/jupyter_work"
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script_shs = [f"cd /home/user/chatbot/jupyter_work && nohup jupyter-notebook --NotebookApp.token=mytoken --port=5050 --allow-root --ip=0.0.0.0 --notebook-dir={JUPYTER_WORK_PATH} --no-browser --ServerApp.disable_check_xsrf=True &"]
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ports = {f"{SANDBOX_SERVER['docker_port']}/tcp": f"{SANDBOX_SERVER['port']}/tcp"}
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if check_docker(client, SANDBOX_CONTRAINER_NAME, do_stop=True, ):
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container = start_docker(client, script_shs, ports, SANDBOX_IMAGE_NAME, SANDBOX_CONTRAINER_NAME, mounts=mounts, network=network_name)
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# 判断notebook是否启动
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time.sleep(5)
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retry_nums = 3
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while retry_nums>0:
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logger.info(f"http://localhost:{SANDBOX_SERVER['port']}")
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response = requests.get(f"http://localhost:{SANDBOX_SERVER['port']}", timeout=270)
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if response.status_code == 200:
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logger.info("container & notebook init success")
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break
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else:
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retry_nums -= 1
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logger.info(client.containers.list())
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logger.info("wait container running ...")
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time.sleep(5)
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else:
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check_docker(client, SANDBOX_CONTRAINER_NAME, do_stop=True, )
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logger.info("start local sandbox service")
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def start_api_service(sandbox_host=DEFAULT_BIND_HOST):
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# 启动service的容器
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if DOCKER_SERVICE:
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logger.info("start container service")
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check_process("service/api.py", do_stop=True)
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check_process("service/sdfile_api.py", do_stop=True)
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check_process("service/sdfile_api.py", do_stop=True)
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check_process("webui.py", do_stop=True)
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mount = Mount(
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type='bind',
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source=src_dir,
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target='/home/user/chatbot/',
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read_only=False # 如果需要只读访问，将此选项设置为True
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)
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mount_database = Mount(
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type='bind',
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source=os.path.join(src_dir, "knowledge_base"),
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target='/home/user/knowledge_base/',
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read_only=False # 如果需要只读访问，将此选项设置为True
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)
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ports={
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f"{API_SERVER['docker_port']}/tcp": f"{API_SERVER['port']}/tcp",
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f"{WEBUI_SERVER['docker_port']}/tcp": f"{WEBUI_SERVER['port']}/tcp",
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f"{SDFILE_API_SERVER['docker_port']}/tcp": f"{SDFILE_API_SERVER['port']}/tcp",
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}
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mounts = [mount, mount_database]
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script_shs = [
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"mkdir -p /home/user/logs",
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"pip install zdatafront-sdk-python -i https://artifacts.antgroup-inc.cn/simple",
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"pip install jsonref",
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"pip install javalang",
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"nohup python chatbot/dev_opsgpt/service/sdfile_api.py > /home/user/logs/sdfile_api.log 2>&1 &",
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f"export DUCKDUCKGO_PROXY=socks5://host.docker.internal:13659 && export SANDBOX_HOST={sandbox_host} &&\
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nohup python chatbot/dev_opsgpt/service/api.py > /home/user/logs/api.log 2>&1 &",
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"nohup python chatbot/dev_opsgpt/service/llm_api.py > /home/user/ 2>&1 &",
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f"export DUCKDUCKGO_PROXY=socks5://host.docker.internal:13659 && export SANDBOX_HOST={sandbox_host} &&\
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cd chatbot/examples && nohup streamlit run webui.py > /home/user/logs/start_webui.log 2>&1 &"
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]
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if check_docker(client, CONTRAINER_NAME, do_stop=True):
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container = start_docker(client, script_shs, ports, IMAGE_NAME, CONTRAINER_NAME, mounts, network=network_name)
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else:
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logger.info("start local service")
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# 关闭之前启动的docker 服务
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# check_docker(client, CONTRAINER_NAME, do_stop=True, )
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api_sh = "nohup python ../dev_opsgpt/service/api.py > ../logs/api.log 2>&1 &"
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sdfile_sh = "nohup python ../dev_opsgpt/service/sdfile_api.py > ../logs/sdfile_api.log 2>&1 &"
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llm_sh = "nohup python ../dev_opsgpt/service/llm_api.py > ../logs/llm_api.log 2>&1 &"
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webui_sh = "streamlit run webui.py" if USE_TTY else "streamlit run webui.py"
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#
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if not NO_REMOTE_API and check_process("service/api.py"):
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subprocess.Popen(api_sh, shell=True)
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#
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if USE_FASTCHAT and check_process("service/llm_api.py"):
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subprocess.Popen(llm_sh, shell=True)
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#
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if check_process("service/sdfile_api.py"):
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subprocess.Popen(sdfile_sh, shell=True)
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subprocess.Popen(webui_sh, shell=True)
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if __name__ == "__main__":
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start_sandbox_service()
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client = docker.from_env()
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containers = client.containers.list(all=True)
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sandbox_host = DEFAULT_BIND_HOST
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for container in containers:
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container_a_info = client.containers.get(container.id)
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if container_a_info.name == SANDBOX_CONTRAINER_NAME:
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container1_networks = container.attrs['NetworkSettings']['Networks']
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sandbox_host = container1_networks.get(network_name)["IPAddress"]
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break
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start_api_service(sandbox_host)
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