mirror of
https://github.com/tencentmusic/cube-studio.git
synced 2024-11-27 05:33:10 +08:00
补全配置文件描述
This commit is contained in:
pengluan
parent
ac66e871a2
commit
3fb3328d75
@ -25,24 +25,13 @@ APP_THEME = "readable.css"
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FAB_UPDATE_PERMS=True
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FAB_STATIC_FOLDER = BASE_DIR + "/static/appbuilder/"
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# ---------------------------------------------------------
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# Myapp specific config
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# ---------------------------------------------------------
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# PACKAGE_DIR = os.path.join(BASE_DIR, "static", "assets")
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# PACKAGE_FILE = os.path.join(PACKAGE_DIR, "package.json")
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# with open(PACKAGE_FILE) as package_file:
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# VERSION_STRING = json.load(package_file)["version"]
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MYAPP_WORKERS = 2 # deprecated
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MYAPP_CELERY_WORKERS = 32 # deprecated
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MYAPP_WEBSERVER_ADDRESS = "0.0.0.0"
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MYAPP_WEBSERVER_PORT = 80
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# This is an important setting, and should be lower than your
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# [load balancer / proxy / envoy / kong / ...] timeout settings.
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# You should also make sure to configure your WSGI server
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# (gunicorn, nginx, apache, ...) timeout setting to be <= to this setting
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# 前面页面静态文件的缓存超时时间，单位s
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MYAPP_WEBSERVER_TIMEOUT = 300
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@ -50,20 +39,16 @@ MYAPP_WEBSERVER_TIMEOUT = 300
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# 设置才能正常使用session
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SECRET_KEY = "\2\1thisismyscretkey\1\2\e\y\y\h" # noqa
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# The SQLAlchemy connection string.
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# SQLALCHEMY_DATABASE_URI = "sqlite:///" + os.path.join(DATA_DIR, "myapp.db")
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# SQLALCHEMY_DATABASE_URI = 'mysql://myapp@localhost/myapp'
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# SQLALCHEMY_DATABASE_URI = 'postgresql://root:password@localhost/myapp'
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# SQLALCHEMY_DATABASE_URI = os.getenv('MYSQL_SERVICE','mysql+pymysql://root:admin@127.0.0.1:3306/myapp?charset=utf8') # default must set None
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# csv导出文件编码
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CSV_EXPORT = {"encoding": "utf_8_sig"}
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# Flask-WTF flag for CSRF
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# 跨域配置
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WTF_CSRF_ENABLED = False
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# Add endpoints that need to be exempt from CSRF protection
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WTF_CSRF_EXEMPT_LIST = ["myapp.views.core.log"]
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# 跨域访问允许通过的站点
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WTF_CSRF_EXEMPT_LIST = ['example.local.com']
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# Whether to run the web server in debug mode or not
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# 是否debug模式运行
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DEBUG = os.environ.get("FLASK_ENV") == "development"
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FLASK_USE_RELOAD = True
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@ -78,26 +63,25 @@ ENABLE_PROXY_FIX = False
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# ------------------------------
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# GLOBALS FOR APP Builder
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# ------------------------------
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# Uncomment to setup Your App name
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APP_NAME = "Kubeflow"
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# 应用名
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APP_NAME = "Cube-Studio"
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# Uncomment to setup an App icon
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# 图标
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APP_ICON = "/static/assets/images/myapp-logo.png"
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APP_ICON_WIDTH = 126
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# Uncomment to specify where clicking the logo would take the user
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# e.g. setting it to '/welcome' would take the user to '/myapp/welcome'
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# 配置logo点击后的跳转链接，例如'/welcome' 会跳转到'/myapp/welcome'
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LOGO_TARGET_PATH = None
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# ----------------------------------------------------
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# AUTHENTICATION CONFIG
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# 认证相关的配置
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# ----------------------------------------------------
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# The authentication type
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# AUTH_OID : Is for OpenID
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# AUTH_DB : Is for database (username/password()
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# AUTH_LDAP : Is for LDAP
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# AUTH_REMOTE_USER : Is for using REMOTE_USER from web server
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# 认证类型
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# AUTH_OID : OpenID认证
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# AUTH_DB : 数据库账号密码配置
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# AUTH_LDAP : LDAP认证
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# AUTH_REMOTE_USER : 远程用户认证
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AUTH_TYPE = AUTH_DB
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# AUTH_TYPE = AUTH_REMOTE_USER
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@ -107,10 +91,10 @@ AUTH_TYPE = AUTH_DB
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# Uncomment to setup Public role name, no authentication needed
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# AUTH_ROLE_PUBLIC = 'Public'
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# Will allow user self registration
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# 是否允许用户注册
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AUTH_USER_REGISTRATION = False
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# The default user self registration role
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# 用户的默认角色
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AUTH_USER_REGISTRATION_ROLE = "Gamma"
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# RECAPTCHA_PUBLIC_KEY = 'GOOGLE PUBLIC KEY FOR RECAPTCHA'
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@ -118,19 +102,19 @@ AUTH_USER_REGISTRATION_ROLE = "Gamma"
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OAUTH_PROVIDERS=[]
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# When using LDAP Auth, setup the ldap server
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#LDAP认证时, ldap server
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# AUTH_LDAP_SERVER = "ldap://ldapserver.new"
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# Uncomment to setup OpenID providers example for OpenID authentication
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# OpenID认证的提供方
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# OPENID_PROVIDERS = [
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# { 'name': 'Yahoo', 'url': 'https://open.login.yahoo.com/' },
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# { 'name': 'Flickr', 'url': 'https://www.flickr.com/<username>' },
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# ---------------------------------------------------
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# Babel config for translations
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# 语言翻译上的配置
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# ---------------------------------------------------
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# Setup default language
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# 默认使用的语言
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BABEL_DEFAULT_LOCALE = "en"
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# Your application default translation path
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BABEL_DEFAULT_FOLDER = "myapp/translations"
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@ -169,7 +153,7 @@ DEFAULT_FEATURE_FLAGS = {
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GET_FEATURE_FLAGS_FUNC = None
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# ---------------------------------------------------
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# Image and file configuration
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# 图片和文件相关的配置
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# ---------------------------------------------------
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# The file upload folder, when using models with files
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UPLOAD_FOLDER = BASE_DIR + "/static/file/uploads/"
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@ -265,8 +249,7 @@ WARNING_MSG = None
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from celery.schedules import crontab
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from werkzeug.contrib.cache import RedisCache
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# Additional static HTTP headers to be served by your Myapp server. Note
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# Flask-Talisman aplies the relevant security HTTP headers.
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# 自动添加到响应头的配置
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HTTP_HEADERS = {
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"Access-Control-Allow-Origin":"*",
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"Access-Control-Allow-Methods":"*",
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@ -462,10 +445,12 @@ SQLALCHEMY_MAX_OVERFLOW = 300
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SQLALCHEMY_TRACK_MODIFICATIONS=False
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# redis的配置
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REDIS_PASSWORD = os.getenv('REDIS_PASSWORD', 'admin') # default must set None
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REDIS_PASSWORD = os.getenv('REDIS_PASSWORD', 'admin') #
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REDIS_HOST = os.getenv('REDIS_HOST', '127.0.0.1')
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REDIS_PORT = os.getenv('REDIS_PORT', '6379')
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SQLALCHEMY_DATABASE_URI = os.getenv('MYSQL_SERVICE','mysql+pymysql://root:admin@127.0.0.1:3306/myapp?charset=utf8') # default must set None
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# 数据库配置地址
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SQLALCHEMY_DATABASE_URI = os.getenv('MYSQL_SERVICE','mysql+pymysql://root:admin@127.0.0.1:3306/myapp?charset=utf8')
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from celery.schedules import crontab
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from werkzeug.contrib.cache import RedisCache
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@ -476,7 +461,7 @@ RESULTS_BACKEND = RedisCache(
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class CeleryConfig(object):
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# 任务队列
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BROKER_URL = 'redis://:%s@%s:%s/0'%(REDIS_PASSWORD,REDIS_HOST,str(REDIS_PORT)) if REDIS_PASSWORD else 'redis://%s:%s/0'%(REDIS_HOST,str(REDIS_PORT))
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# celery_task的定义模块
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# celery_task的定义模块地址
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CELERY_IMPORTS = (
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'myapp.tasks',
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)
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@ -501,22 +486,26 @@ class CeleryConfig(object):
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# 任务的限制，key是celery_task的name，值是限制配置
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CELERY_ANNOTATIONS = {
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# 删除历史workflow，以及相关任务
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'task.delete_workflow': {
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'rate_limit': '1/h',
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# 'time_limit': 1200, # 就是 hard_time_limit ， 不可以catch
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'soft_time_limit': 1200, # 运行时长限制soft_time_limit 可以内catch
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'ignore_result': True,
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},
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# 检查运行定时pipeline
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'task.run_workflow': {
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'rate_limit': '1/s',
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# 'time_limit': 1,
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'soft_time_limit': 600, # 只在 prefork pool 里支持
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'ignore_result': True,
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},
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# 检查在线构架镜像的docker pod
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'task.check_docker_commit': {
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'rate_limit': '1/s',
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'ignore_result': True,
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},
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# 上传workflow信息
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'task.upload_workflow': {
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'rate_limit': '10/s',
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'ignore_result': True,
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@ -527,57 +516,53 @@ class CeleryConfig(object):
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# 定时任务的配置项，key为celery_task的name，值是调度配置
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CELERYBEAT_SCHEDULE = {
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'task_task1': {
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'task': 'task.delete_workflow',
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'task': 'task.delete_workflow', # 定时删除旧的workflow
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# 'schedule': 10.0,
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'schedule': crontab(minute='1'),
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},
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'task_task2': {
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'task': 'task.make_timerun_config',
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'task': 'task.make_timerun_config', # 定时产生定时任务的yaml信息
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# 'schedule': 10.0, #10s中执行一次
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'schedule': crontab(minute='*/5'),
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},
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# 'task_task3': {
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# 'task': 'task.upload_timerun',
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# # 'schedule': 10.0, #10s中执行一次
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# 'schedule': crontab(minute='*/5'),
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# },
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'task_task4': {
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'task': 'task.delete_old_data',
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'task': 'task.delete_old_data', # 定时删除旧数据
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# 'schedule': 100.0, #10s中执行一次
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'schedule': crontab(minute='1', hour='1'),
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},
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'task_task5': {
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'task': 'task.delete_notebook',
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'task': 'task.delete_notebook', # 定时停止notebook
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# 'schedule': 10.0,
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'schedule': crontab(minute='1', hour='4'),
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},
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# 'task_task6': {
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# 'task': 'task.push_workspace_size',
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# 'task': 'task.push_workspace_size', # 定时推送用户文件大小
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# # 'schedule': 10.0,
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# 'schedule': crontab(minute='10', hour='10'),
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# },
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'task_task6':{
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'task':"task.check_pipeline_run",
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'task':"task.check_pipeline_run", # 定时检查pipeline的运行时长
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'schedule': crontab(minute='10', hour='11'),
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},
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'task_task8': {
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'task': 'task.delete_debug_docker',
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'task': 'task.delete_debug_docker', # 定时删除debug的pod
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# 'schedule': 10.0,
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'schedule': crontab(minute='30', hour='22'),
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},
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'task_task9': {
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'task': 'task.watch_gpu',
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'task': 'task.watch_gpu', # 定时推送gpu的使用情况
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# 'schedule': 10.0,
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'schedule': crontab(minute='10',hour='8-23/2'),
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},
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'task_task10': {
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'task': 'task.adjust_node_resource',
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'task': 'task.adjust_node_resource', # 定时在多项目组间进行资源均衡
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# 'schedule': 10.0,
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'schedule': crontab(minute='*/10'),
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}
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}
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DOCUMENTATION_URL='https://github.com/tencentmusic/cube-studio/tree/master/docs/example' # 帮助文档地址，显示在web导航栏
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# 帮助文档地址，显示在web导航栏
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DOCUMENTATION_URL='https://github.com/tencentmusic/cube-studio/tree/master/docs/example'
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ROBOT_PERMISSION_ROLES=[] # 角色黑名单
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@ -594,6 +579,7 @@ CACHE_DEFAULT_TIMEOUT = 10*60 # 缓存默认过期时间，10分钟才过期
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CELERY_CONFIG = CeleryConfig
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REMEMBER_COOKIE_NAME="remember_token" # 使用cookie认证用户的方式
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# api方式访问认证header头
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AUTH_HEADER_NAME = 'Authorization' # header方式认证的header 头
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# k8s中用到的各种自动自定义资源
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@ -693,6 +679,8 @@ GLOBAL_ENV={
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"KFJ_GPU_MEM_MAX":"13G",
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"KFJ_ENVIRONMENT":"{{cluster_name}}",
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}
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# 各种环节使用的gpu驱动类型
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GPU_TYPE = os.environ.get("GPU_TYPE", "NVIDIA")
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TASK_GPU_TYPE='NVIDIA'
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@ -715,19 +703,30 @@ HELP_URL={
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# 不使用模板中定义的镜像而直接使用用户镜像的模板名称
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CUSTOMIZE_JOB='自定义镜像'
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# 推送必带接收人
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PUSH_BCC_ADDRESS = 'admin'
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# admin管理员用户
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ADMIN_USER='admin'
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# pipeline任务的运行空间，目前必填pipeline
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PIPELINE_NAMESPACE = 'pipeline'
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# 服务pipeline运行的空间，必填service
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SERVICE_PIPELINE_NAMESPACE='service'
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# 超参搜索命名空间，必填katib
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KATIB_NAMESPACE = 'katib'
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# notebook必填空间，必填jupyter
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NOTEBOOK_NAMESPACE = 'jupyter'
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# 内部服务命名空间，必填service
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SERVICE_NAMESPACE = 'service'
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# kfserving命名空间，必填kfserving
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KFSERVING_NAMESPACE = 'kfserving'
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# 服务链路追踪地址
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SERVICE_PIPELINE_ZIPKIN='http://xx.xx.xx.xx:9401'
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SERVICE_PIPELINE_JAEGER='tracing.service'
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# katib任务默认镜像
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KATIB_JOB_DEFAULT_IMAGE='ccr.ccs.tencentyun.com/cube-studio/katib'
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# katib的tfjob任务默认镜像
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KATIB_TFJOB_DEFAULT_IMAGE = 'gcr.io/kubeflow-ci/tf-mnist-with-summaries:1.0'
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# katib的pytorchjob任务默认镜像
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KATIB_PYTORCHJOB_DEFAULT_IMAGE = 'gcr.io/kubeflow-ci/pytorch-dist-mnist-test:v1.0'
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# 拉取私有仓库镜像默认携带的k8s hubsecret名称
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HUBSECRET = ['hubsecret']
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@ -763,18 +762,20 @@ WORKSPACE_HOST_PATH = '/data/k8s/kubeflow/pipeline/workspace'
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ARCHIVES_HOST_PATH = "/data/k8s/kubeflow/pipeline/archives"
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# prometheus地址
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PROMETHEUS = 'prometheus-k8s.monitoring:9090'
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# kfp地址
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KFP_HOST = "http://ml-pipeline.kubeflow:8888"
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# nni默认镜像
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NNI_IMAGES='ccr.ccs.tencentyun.com/cube-studio/nni:20211003'
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ISTIO_INGRESS_DOMAIN = os.getenv('ISTIO_INGRESS_DOMAIN','local.com') # 泛化域名，尾缀，可以和HOST不一致，没有泛化域名对应的功能没法使用
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K8S_DASHBOARD_CLUSTER = '/k8s/dashboard/cluster/' #
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K8S_DASHBOARD_PIPELINE = '/k8s/dashboard/pipeline/'
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PIPELINE_URL = '/pipeline/#/'
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KATIB_URL = '/katib/#'
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# 这两部分功能需要泛化域名。没有泛化域名此部分功能受限
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# 这两部分功能需要泛化域名。没有泛化域名此部分功能受限。ISTIO_INGRESS_DOMAIN为泛域名后缀
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ISTIO_INGRESS_DOMAIN = os.getenv('ISTIO_INGRESS_DOMAIN','local.com') # 泛化域名，尾缀，可以和HOST不一致，没有泛化域名对应的功能没法使用
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KFSERVING_DOMAIN = 'kfserving.%s' % ISTIO_INGRESS_DOMAIN
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SERVICE_DOMAIN = 'service.%s' % ISTIO_INGRESS_DOMAIN
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@ -782,10 +783,10 @@ SERVICE_DOMAIN = 'service.%s' % ISTIO_INGRESS_DOMAIN
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HOSTALIASES='''
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127.0.0.1 localhost
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'''
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# 默认服务代理的ip
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SERVICE_EXTERNAL_IP=[]
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# 链接菜单
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ALL_LINKS=[
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{
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"label":"Minio",
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@ -804,6 +805,7 @@ ALL_LINKS=[
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}
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]
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# 推理服务的各种配置
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TFSERVING_IMAGES=['ccr.ccs.tencentyun.com/cube-studio/serving:1.11.0','ccr.ccs.tencentyun.com/cube-studio/serving:1.11.0-gpu','ccr.ccs.tencentyun.com/cube-studio/serving:1.12.0','ccr.ccs.tencentyun.com/cube-studio/serving:1.12.0-gpu','ccr.ccs.tencentyun.com/cube-studio/serving:1.13.0','ccr.ccs.tencentyun.com/cube-studio/serving:1.13.0-gpu','ccr.ccs.tencentyun.com/cube-studio/serving:1.14.0','ccr.ccs.tencentyun.com/cube-studio/serving:1.14.0-gpu','ccr.ccs.tencentyun.com/cube-studio/serving:2.0.0','ccr.ccs.tencentyun.com/cube-studio/serving:2.0.0-gpu','ccr.ccs.tencentyun.com/cube-studio/serving:2.1.4','ccr.ccs.tencentyun.com/cube-studio/serving:2.1.4-gpu','ccr.ccs.tencentyun.com/cube-studio/serving:2.2.3','ccr.ccs.tencentyun.com/cube-studio/serving:2.2.3-gpu','ccr.ccs.tencentyun.com/cube-studio/serving:2.3.4','ccr.ccs.tencentyun.com/cube-studio/serving:2.3.4-gpu','ccr.ccs.tencentyun.com/cube-studio/serving:2.4.3','ccr.ccs.tencentyun.com/cube-studio/serving:2.4.3-gpu','ccr.ccs.tencentyun.com/cube-studio/serving:2.5.2','ccr.ccs.tencentyun.com/cube-studio/serving:2.5.2-gpu','ccr.ccs.tencentyun.com/cube-studio/serving:2.6.0','ccr.ccs.tencentyun.com/cube-studio/serving:2.6.0-gpu']
|
||||
TRITONSERVER_IMAGES=['ccr.ccs.tencentyun.com/cube-studio/tritonserver:21.12-py3','ccr.ccs.tencentyun.com/cube-studio/tritonserver:21.09-py3']
|
||||
TORCHSERVER_IMAGES=['ccr.ccs.tencentyun.com/cube-studio/torchserve:0.5.0-cpu','ccr.ccs.tencentyun.com/cube-studio/torchserve:0.5.0-gpu','ccr.ccs.tencentyun.com/cube-studio/torchserve:0.4.2-cpu','ccr.ccs.tencentyun.com/cube-studio/torchserve:0.4.2-gpu']
|
||||
@ -812,13 +814,13 @@ INFERNENCE_IMAGES={
|
||||
'torch-server':TORCHSERVER_IMAGES,
|
||||
'onnxruntime':['ccr.ccs.tencentyun.com/cube-studio/onnxruntime:v1.0.0','ccr.ccs.tencentyun.com/cube-studio/onnxruntime:server-latest'],
|
||||
'triton-server':TRITONSERVER_IMAGES,
|
||||
'kfserving-tf': TFSERVING_IMAGES,
|
||||
"kfserving-torch":TORCHSERVER_IMAGES,
|
||||
"kfserving-triton": TRITONSERVER_IMAGES,
|
||||
'kfserving-sklearn': ['ccr.ccs.tencentyun.com/cube-studio/sklearnserver:v0.7.0'],
|
||||
'kfserving-xgboost': ['ccr.ccs.tencentyun.com/cube-studio/sklearnserver:v0.7.0'],
|
||||
'kfserving-lightgbm':['ccr.ccs.tencentyun.com/cube-studio/lgbserver:v0.7.0'],
|
||||
'kfserving-paddle':['ccr.ccs.tencentyun.com/cube-studio/paddleserver:v0.7.0']
|
||||
# 'kfserving-tf': TFSERVING_IMAGES,
|
||||
# "kfserving-torch":TORCHSERVER_IMAGES,
|
||||
# "kfserving-triton": TRITONSERVER_IMAGES,
|
||||
# 'kfserving-sklearn': ['ccr.ccs.tencentyun.com/cube-studio/sklearnserver:v0.7.0'],
|
||||
# 'kfserving-xgboost': ['ccr.ccs.tencentyun.com/cube-studio/sklearnserver:v0.7.0'],
|
||||
# 'kfserving-lightgbm':['ccr.ccs.tencentyun.com/cube-studio/lgbserver:v0.7.0'],
|
||||
# 'kfserving-paddle':['ccr.ccs.tencentyun.com/cube-studio/paddleserver:v0.7.0']
|
||||
}
|
||||
|
||||
INFERNENCE_COMMAND={
|
||||
@ -846,9 +848,14 @@ INFERNENCE_HEALTH={
|
||||
"torch-server":"8080:/ping",
|
||||
"triton-server":"8000:/v2/health/ready"
|
||||
}
|
||||
|
||||
# 任务资源使用情况地址
|
||||
GRAFANA_TASK_PATH='/grafana/d/pod-info/pod-info?var-pod='
|
||||
# 推理服务监控地址
|
||||
GRAFANA_SERVICE_PATH="/grafana/d/istio-service/istio-service?var-namespace=service&var-service="
|
||||
# 集群资源监控地址
|
||||
GRAFANA_CLUSTER_PATH="/grafana/d/all-node/all-node?var-org="
|
||||
# 节点资源监控地址
|
||||
GRAFANA_NODE_PATH="/grafana/d/node/node?var-node="
|
||||
|
||||
# 当前控制器所在的集群
|
||||
|
||||
Loading…
Reference in New Issue
Block a user