Authenticators

Module: jupyterhub.auth

Base Authenticator class and the default PAM Authenticator

Authenticator

class jupyterhub.auth.Authenticator(**kwargs)

Base class for implementing an authentication provider for JupyterHub

admin_users c.Authenticator.admin_users = Set()

Set of users that will have admin rights on this JupyterHub.

Admin users have extra privileges:
  • Use the admin panel to see list of users logged in

  • Add / remove users in some authenticators

  • Restart / halt the hub

  • Start / stop users’ single-user servers

  • Can access each individual users’ single-user server (if configured)

Admin access should be treated the same way root access is.

Defaults to an empty set, in which case no user has admin access.

allowed_users c.Authenticator.allowed_users = Set()

Set of usernames that are allowed to log in.

Use this with supported authenticators to restrict which users can log in. This is an additional list that further restricts users, beyond whatever restrictions the authenticator has in place.

If empty, does not perform any additional restriction.

Changed in version 1.2: Authenticator.whitelist renamed to allowed_users

auth_refresh_age c.Authenticator.auth_refresh_age = Int(300)

The max age (in seconds) of authentication info before forcing a refresh of user auth info.

Refreshing auth info allows, e.g. requesting/re-validating auth tokens.

See refresh_user() for what happens when user auth info is refreshed (nothing by default).

auto_login c.Authenticator.auto_login = Bool(False)

Automatically begin the login process

rather than starting with a “Login with…” link at /hub/login

To work, .login_url() must give a URL other than the default /hub/login, such as an oauth handler or another automatic login handler, registered with .get_handlers().

New in version 0.8.

blocked_users c.Authenticator.blocked_users = Set()

Set of usernames that are not allowed to log in.

Use this with supported authenticators to restrict which users can not log in. This is an additional block list that further restricts users, beyond whatever restrictions the authenticator has in place.

If empty, does not perform any additional restriction.

Changed in version 1.2: Authenticator.blacklist renamed to blocked_users

delete_invalid_users c.Authenticator.delete_invalid_users = Bool(False)

Delete any users from the database that do not pass validation

When JupyterHub starts, .add_user will be called on each user in the database to verify that all users are still valid.

If delete_invalid_users is True, any users that do not pass validation will be deleted from the database. Use this if users might be deleted from an external system, such as local user accounts.

If False (default), invalid users remain in the Hub’s database and a warning will be issued. This is the default to avoid data loss due to config changes.

enable_auth_state c.Authenticator.enable_auth_state = Bool(False)

Enable persisting auth_state (if available).

auth_state will be encrypted and stored in the Hub’s database. This can include things like authentication tokens, etc. to be passed to Spawners as environment variables.

Encrypting auth_state requires the cryptography package.

Additionally, the JUPYTERHUB_CRYPT_KEY environment variable must contain one (or more, separated by ;) 32B encryption keys. These can be either base64 or hex-encoded.

If encryption is unavailable, auth_state cannot be persisted.

New in JupyterHub 0.8

post_auth_hook c.Authenticator.post_auth_hook = Any(None)

An optional hook function that you can implement to do some bootstrapping work during authentication. For example, loading user account details from an external system.

This function is called after the user has passed all authentication checks and is ready to successfully authenticate. This function must return the authentication dict reguardless of changes to it.

This maybe a coroutine.

Example:

import os, pwd
def my_hook(authenticator, handler, authentication):
    user_data = pwd.getpwnam(authentication['name'])
    spawn_data = {
        'pw_data': user_data
        'gid_list': os.getgrouplist(authentication['name'], user_data.pw_gid)
    }

    if authentication['auth_state'] is None:
        authentication['auth_state'] = {}
    authentication['auth_state']['spawn_data'] = spawn_data

    return authentication

c.Authenticator.post_auth_hook = my_hook
refresh_pre_spawn c.Authenticator.refresh_pre_spawn = Bool(False)

Force refresh of auth prior to spawn.

This forces refresh_user() to be called prior to launching a server, to ensure that auth state is up-to-date.

This can be important when e.g. auth tokens that may have expired are passed to the spawner via environment variables from auth_state.

If refresh_user cannot refresh the user auth data, launch will fail until the user logs in again.

username_map c.Authenticator.username_map = Dict()

Dictionary mapping authenticator usernames to JupyterHub users.

Primarily used to normalize OAuth user names to local users.

username_pattern c.Authenticator.username_pattern = Unicode('')

Regular expression pattern that all valid usernames must match.

If a username does not match the pattern specified here, authentication will not be attempted.

If not set, allow any username.

whitelist c.Authenticator.whitelist = Set()

Deprecated, use Authenticator.allowed_users

add_user(user)

Hook called when a user is added to JupyterHub

This is called:
  • When a user first authenticates

  • When the hub restarts, for all users.

This method may be a coroutine.

By default, this just adds the user to the allowed_users set.

Subclasses may do more extensive things, such as adding actual unix users, but they should call super to ensure the allowed_users set is updated.

Note that this should be idempotent, since it is called whenever the hub restarts for all users.

Parameters

user (User) – The User wrapper object

authenticate(handler, data)

Authenticate a user with login form data

This must be a coroutine.

It must return the username on successful authentication, and return None on failed authentication.

Checking allowed_users/blocked_users is handled separately by the caller.

Changed in version 0.8: Allow authenticate to return a dict containing auth_state.

Parameters
  • handler (tornado.web.RequestHandler) – the current request handler

  • data (dict) – The formdata of the login form. The default form has ‘username’ and ‘password’ fields.

Returns

The username of the authenticated user, or None if Authentication failed.

The Authenticator may return a dict instead, which MUST have a key name holding the username, and MAY have two optional keys set: auth_state, a dictionary of of auth state that will be persisted; and admin, the admin setting value for the user.

Return type

user (str or dict or None)

check_allowed(username, authentication=None)

Check if a username is allowed to authenticate based on configuration

Return True if username is allowed, False otherwise. No allowed_users set means any username is allowed.

Names are normalized before being checked against the allowed set.

Changed in version 1.0: Signature updated to accept authentication data and any future changes

Changed in version 1.2: Renamed check_whitelist to check_allowed

check_blocked_users(username, authentication=None)

Check if a username is blocked to authenticate based on Authenticator.blocked configuration

Return True if username is allowed, False otherwise. No block list means any username is allowed.

Names are normalized before being checked against the block list.

Changed in version 1.0: Signature updated to accept authentication data as second argument

Changed in version 1.2: Renamed check_blacklist to check_blocked_users

delete_user(user)

Hook called when a user is deleted

Removes the user from the allowed_users set. Subclasses should call super to ensure the allowed_users set is updated.

Parameters

user (User) – The User wrapper object

get_authenticated_user(handler, data)

Authenticate the user who is attempting to log in

Returns user dict if successful, None otherwise.

This calls authenticate, which should be overridden in subclasses, normalizes the username if any normalization should be done, and then validates the name in the allowed set.

This is the outer API for authenticating a user. Subclasses should not override this method.

The various stages can be overridden separately:
  • authenticate turns formdata into a username

  • normalize_username normalizes the username

  • check_allowed checks against the allowed usernames

Changed in version 0.8: return dict instead of username

get_handlers(app)

Return any custom handlers the authenticator needs to register

Used in conjugation with login_url and logout_url.

Parameters

app (JupyterHub Application) – the application object, in case it needs to be accessed for info.

Returns

list of ('/url', Handler) tuples passed to tornado. The Hub prefix is added to any URLs.

Return type

handlers (list)

is_admin(handler, authentication)

Authentication helper to determine a user’s admin status.

Parameters
  • handler (tornado.web.RequestHandler) – the current request handler

  • authentication – The authetication dict generated by authenticate.

Returns

The admin status of the user, or None if it could not be determined or should not change.

Return type

admin_status (Bool or None)

login_url(base_url)

Override this when registering a custom login handler

Generally used by authenticators that do not use simple form-based authentication.

The subclass overriding this is responsible for making sure there is a handler available to handle the URL returned from this method, using the get_handlers method.

Parameters

base_url (str) – the base URL of the Hub (e.g. /hub/)

Returns

The login URL, e.g. ‘/hub/login’

Return type

str

logout_url(base_url)

Override when registering a custom logout handler

The subclass overriding this is responsible for making sure there is a handler available to handle the URL returned from this method, using the get_handlers method.

Parameters

base_url (str) – the base URL of the Hub (e.g. /hub/)

Returns

The logout URL, e.g. ‘/hub/logout’

Return type

str

normalize_username(username)

Normalize the given username and return it

Override in subclasses if usernames need different normalization rules.

The default attempts to lowercase the username and apply username_map if it is set.

post_spawn_stop(user, spawner)

Hook called after stopping a user container

Can be used to do auth-related cleanup, e.g. closing PAM sessions.

pre_spawn_start(user, spawner)

Hook called before spawning a user’s server

Can be used to do auth-related startup, e.g. opening PAM sessions.

refresh_user(user, handler=None)

Refresh auth data for a given user

Allows refreshing or invalidating auth data.

Only override if your authenticator needs to refresh its data about users once in a while.

Parameters
  • user (User) – the user to refresh

  • handler (tornado.web.RequestHandler or None) – the current request handler

Returns

Return True if auth data for the user is up-to-date and no updates are required.

Return False if the user’s auth data has expired, and they should be required to login again.

Return a dict of auth data if some values should be updated. This dict should have the same structure as that returned by authenticate() when it returns a dict. Any fields present will refresh the value for the user. Any fields not present will be left unchanged. This can include updating .admin or .auth_state fields.

Return type

auth_data (bool or dict)

run_post_auth_hook(handler, authentication)

Run the post_auth_hook if defined

Parameters
  • handler (tornado.web.RequestHandler) – the current request handler

  • authentication (dict) – User authentication data dictionary. Contains the username (‘name’), admin status (‘admin’), and auth state dictionary (‘auth_state’).

Returns

The hook must always return the authentication dict

Return type

Authentication (dict)

validate_username(username)

Validate a normalized username

Return True if username is valid, False otherwise.

LocalAuthenticator

class jupyterhub.auth.LocalAuthenticator(**kwargs)

Base class for Authenticators that work with local Linux/UNIX users

Checks for local users, and can attempt to create them if they exist.

add_user_cmd c.LocalAuthenticator.add_user_cmd = Command()

The command to use for creating users as a list of strings

For each element in the list, the string USERNAME will be replaced with the user’s username. The username will also be appended as the final argument.

For Linux, the default value is:

[‘adduser’, ‘-q’, ‘–gecos’, ‘”“’, ‘–disabled-password’]

To specify a custom home directory, set this to:

[‘adduser’, ‘-q’, ‘–gecos’, ‘”“’, ‘–home’, ‘/customhome/USERNAME’, ‘–disabled-password’]

This will run the command:

adduser -q –gecos “” –home /customhome/river –disabled-password river

when the user ‘river’ is created.

admin_users c.LocalAuthenticator.admin_users = Set()

Set of users that will have admin rights on this JupyterHub.

Admin users have extra privileges:
  • Use the admin panel to see list of users logged in

  • Add / remove users in some authenticators

  • Restart / halt the hub

  • Start / stop users’ single-user servers

  • Can access each individual users’ single-user server (if configured)

Admin access should be treated the same way root access is.

Defaults to an empty set, in which case no user has admin access.

allowed_groups c.LocalAuthenticator.allowed_groups = Set()

Allow login from all users in these UNIX groups.

If set, allowed username set is ignored.

allowed_users c.LocalAuthenticator.allowed_users = Set()

Set of usernames that are allowed to log in.

Use this with supported authenticators to restrict which users can log in. This is an additional list that further restricts users, beyond whatever restrictions the authenticator has in place.

If empty, does not perform any additional restriction.

Changed in version 1.2: Authenticator.whitelist renamed to allowed_users

auth_refresh_age c.LocalAuthenticator.auth_refresh_age = Int(300)

The max age (in seconds) of authentication info before forcing a refresh of user auth info.

Refreshing auth info allows, e.g. requesting/re-validating auth tokens.

See refresh_user() for what happens when user auth info is refreshed (nothing by default).

auto_login c.LocalAuthenticator.auto_login = Bool(False)

Automatically begin the login process

rather than starting with a “Login with…” link at /hub/login

To work, .login_url() must give a URL other than the default /hub/login, such as an oauth handler or another automatic login handler, registered with .get_handlers().

New in version 0.8.

blocked_users c.LocalAuthenticator.blocked_users = Set()

Set of usernames that are not allowed to log in.

Use this with supported authenticators to restrict which users can not log in. This is an additional block list that further restricts users, beyond whatever restrictions the authenticator has in place.

If empty, does not perform any additional restriction.

Changed in version 1.2: Authenticator.blacklist renamed to blocked_users

create_system_users c.LocalAuthenticator.create_system_users = Bool(False)

If set to True, will attempt to create local system users if they do not exist already.

Supports Linux and BSD variants only.

delete_invalid_users c.LocalAuthenticator.delete_invalid_users = Bool(False)

Delete any users from the database that do not pass validation

When JupyterHub starts, .add_user will be called on each user in the database to verify that all users are still valid.

If delete_invalid_users is True, any users that do not pass validation will be deleted from the database. Use this if users might be deleted from an external system, such as local user accounts.

If False (default), invalid users remain in the Hub’s database and a warning will be issued. This is the default to avoid data loss due to config changes.

enable_auth_state c.LocalAuthenticator.enable_auth_state = Bool(False)

Enable persisting auth_state (if available).

auth_state will be encrypted and stored in the Hub’s database. This can include things like authentication tokens, etc. to be passed to Spawners as environment variables.

Encrypting auth_state requires the cryptography package.

Additionally, the JUPYTERHUB_CRYPT_KEY environment variable must contain one (or more, separated by ;) 32B encryption keys. These can be either base64 or hex-encoded.

If encryption is unavailable, auth_state cannot be persisted.

New in JupyterHub 0.8

group_whitelist c.LocalAuthenticator.group_whitelist = Set()

DEPRECATED: use allowed_groups

post_auth_hook c.LocalAuthenticator.post_auth_hook = Any(None)

An optional hook function that you can implement to do some bootstrapping work during authentication. For example, loading user account details from an external system.

This function is called after the user has passed all authentication checks and is ready to successfully authenticate. This function must return the authentication dict reguardless of changes to it.

This maybe a coroutine.

Example:

import os, pwd
def my_hook(authenticator, handler, authentication):
    user_data = pwd.getpwnam(authentication['name'])
    spawn_data = {
        'pw_data': user_data
        'gid_list': os.getgrouplist(authentication['name'], user_data.pw_gid)
    }

    if authentication['auth_state'] is None:
        authentication['auth_state'] = {}
    authentication['auth_state']['spawn_data'] = spawn_data

    return authentication

c.Authenticator.post_auth_hook = my_hook
refresh_pre_spawn c.LocalAuthenticator.refresh_pre_spawn = Bool(False)

Force refresh of auth prior to spawn.

This forces refresh_user() to be called prior to launching a server, to ensure that auth state is up-to-date.

This can be important when e.g. auth tokens that may have expired are passed to the spawner via environment variables from auth_state.

If refresh_user cannot refresh the user auth data, launch will fail until the user logs in again.

uids c.LocalAuthenticator.uids = Dict()

Dictionary of uids to use at user creation time. This helps ensure that users created from the database get the same uid each time they are created in temporary deployments or containers.

username_map c.LocalAuthenticator.username_map = Dict()

Dictionary mapping authenticator usernames to JupyterHub users.

Primarily used to normalize OAuth user names to local users.

username_pattern c.LocalAuthenticator.username_pattern = Unicode('')

Regular expression pattern that all valid usernames must match.

If a username does not match the pattern specified here, authentication will not be attempted.

If not set, allow any username.

whitelist c.LocalAuthenticator.whitelist = Set()

Deprecated, use Authenticator.allowed_users

add_system_user(user)

Create a new local UNIX user on the system.

Tested to work on FreeBSD and Linux, at least.

add_user(user)

Hook called whenever a new user is added

If self.create_system_users, the user will attempt to be created if it doesn’t exist.

check_allowed(username, authentication=None)

Check if a username is allowed to authenticate based on configuration

Return True if username is allowed, False otherwise. No allowed_users set means any username is allowed.

Names are normalized before being checked against the allowed set.

Changed in version 1.0: Signature updated to accept authentication data and any future changes

Changed in version 1.2: Renamed check_whitelist to check_allowed

check_allowed_groups(username, authentication=None)

If allowed_groups is configured, check if authenticating user is part of group.

system_user_exists(user)

Check if the user exists on the system

PAMAuthenticator

class jupyterhub.auth.PAMAuthenticator(**kwargs)

Authenticate local UNIX users with PAM

add_user_cmd c.PAMAuthenticator.add_user_cmd = Command()

The command to use for creating users as a list of strings

For each element in the list, the string USERNAME will be replaced with the user’s username. The username will also be appended as the final argument.

For Linux, the default value is:

[‘adduser’, ‘-q’, ‘–gecos’, ‘”“’, ‘–disabled-password’]

To specify a custom home directory, set this to:

[‘adduser’, ‘-q’, ‘–gecos’, ‘”“’, ‘–home’, ‘/customhome/USERNAME’, ‘–disabled-password’]

This will run the command:

adduser -q –gecos “” –home /customhome/river –disabled-password river

when the user ‘river’ is created.

admin_groups c.PAMAuthenticator.admin_groups = Set()

Authoritative list of user groups that determine admin access. Users not in these groups can still be granted admin status through admin_users.

allowed/blocked rules still apply.

admin_users c.PAMAuthenticator.admin_users = Set()

Set of users that will have admin rights on this JupyterHub.

Admin users have extra privileges:
  • Use the admin panel to see list of users logged in

  • Add / remove users in some authenticators

  • Restart / halt the hub

  • Start / stop users’ single-user servers

  • Can access each individual users’ single-user server (if configured)

Admin access should be treated the same way root access is.

Defaults to an empty set, in which case no user has admin access.

allowed_groups c.PAMAuthenticator.allowed_groups = Set()

Allow login from all users in these UNIX groups.

If set, allowed username set is ignored.

allowed_users c.PAMAuthenticator.allowed_users = Set()

Set of usernames that are allowed to log in.

Use this with supported authenticators to restrict which users can log in. This is an additional list that further restricts users, beyond whatever restrictions the authenticator has in place.

If empty, does not perform any additional restriction.

Changed in version 1.2: Authenticator.whitelist renamed to allowed_users

auth_refresh_age c.PAMAuthenticator.auth_refresh_age = Int(300)

The max age (in seconds) of authentication info before forcing a refresh of user auth info.

Refreshing auth info allows, e.g. requesting/re-validating auth tokens.

See refresh_user() for what happens when user auth info is refreshed (nothing by default).

auto_login c.PAMAuthenticator.auto_login = Bool(False)

Automatically begin the login process

rather than starting with a “Login with…” link at /hub/login

To work, .login_url() must give a URL other than the default /hub/login, such as an oauth handler or another automatic login handler, registered with .get_handlers().

New in version 0.8.

blocked_users c.PAMAuthenticator.blocked_users = Set()

Set of usernames that are not allowed to log in.

Use this with supported authenticators to restrict which users can not log in. This is an additional block list that further restricts users, beyond whatever restrictions the authenticator has in place.

If empty, does not perform any additional restriction.

Changed in version 1.2: Authenticator.blacklist renamed to blocked_users

check_account c.PAMAuthenticator.check_account = Bool(True)

Whether to check the user’s account status via PAM during authentication.

The PAM account stack performs non-authentication based account management. It is typically used to restrict/permit access to a service and this step is needed to access the host’s user access control.

Disabling this can be dangerous as authenticated but unauthorized users may be granted access and, therefore, arbitrary execution on the system.

create_system_users c.PAMAuthenticator.create_system_users = Bool(False)

If set to True, will attempt to create local system users if they do not exist already.

Supports Linux and BSD variants only.

delete_invalid_users c.PAMAuthenticator.delete_invalid_users = Bool(False)

Delete any users from the database that do not pass validation

When JupyterHub starts, .add_user will be called on each user in the database to verify that all users are still valid.

If delete_invalid_users is True, any users that do not pass validation will be deleted from the database. Use this if users might be deleted from an external system, such as local user accounts.

If False (default), invalid users remain in the Hub’s database and a warning will be issued. This is the default to avoid data loss due to config changes.

enable_auth_state c.PAMAuthenticator.enable_auth_state = Bool(False)

Enable persisting auth_state (if available).

auth_state will be encrypted and stored in the Hub’s database. This can include things like authentication tokens, etc. to be passed to Spawners as environment variables.

Encrypting auth_state requires the cryptography package.

Additionally, the JUPYTERHUB_CRYPT_KEY environment variable must contain one (or more, separated by ;) 32B encryption keys. These can be either base64 or hex-encoded.

If encryption is unavailable, auth_state cannot be persisted.

New in JupyterHub 0.8

encoding c.PAMAuthenticator.encoding = Unicode('utf8')

The text encoding to use when communicating with PAM

group_whitelist c.PAMAuthenticator.group_whitelist = Set()

DEPRECATED: use allowed_groups

open_sessions c.PAMAuthenticator.open_sessions = Bool(True)

Whether to open a new PAM session when spawners are started.

This may trigger things like mounting shared filsystems, loading credentials, etc. depending on system configuration, but it does not always work.

If any errors are encountered when opening/closing PAM sessions, this is automatically set to False.

pam_normalize_username c.PAMAuthenticator.pam_normalize_username = Bool(False)

Round-trip the username via PAM lookups to make sure it is unique

PAM can accept multiple usernames that map to the same user, for example DOMAINusername in some cases. To prevent this, convert username into uid, then back to uid to normalize.

post_auth_hook c.PAMAuthenticator.post_auth_hook = Any(None)

An optional hook function that you can implement to do some bootstrapping work during authentication. For example, loading user account details from an external system.

This function is called after the user has passed all authentication checks and is ready to successfully authenticate. This function must return the authentication dict reguardless of changes to it.

This maybe a coroutine.

Example:

import os, pwd
def my_hook(authenticator, handler, authentication):
    user_data = pwd.getpwnam(authentication['name'])
    spawn_data = {
        'pw_data': user_data
        'gid_list': os.getgrouplist(authentication['name'], user_data.pw_gid)
    }

    if authentication['auth_state'] is None:
        authentication['auth_state'] = {}
    authentication['auth_state']['spawn_data'] = spawn_data

    return authentication

c.Authenticator.post_auth_hook = my_hook
refresh_pre_spawn c.PAMAuthenticator.refresh_pre_spawn = Bool(False)

Force refresh of auth prior to spawn.

This forces refresh_user() to be called prior to launching a server, to ensure that auth state is up-to-date.

This can be important when e.g. auth tokens that may have expired are passed to the spawner via environment variables from auth_state.

If refresh_user cannot refresh the user auth data, launch will fail until the user logs in again.

service c.PAMAuthenticator.service = Unicode('login')

The name of the PAM service to use for authentication

uids c.PAMAuthenticator.uids = Dict()

Dictionary of uids to use at user creation time. This helps ensure that users created from the database get the same uid each time they are created in temporary deployments or containers.

username_map c.PAMAuthenticator.username_map = Dict()

Dictionary mapping authenticator usernames to JupyterHub users.

Primarily used to normalize OAuth user names to local users.

username_pattern c.PAMAuthenticator.username_pattern = Unicode('')

Regular expression pattern that all valid usernames must match.

If a username does not match the pattern specified here, authentication will not be attempted.

If not set, allow any username.

whitelist c.PAMAuthenticator.whitelist = Set()

Deprecated, use Authenticator.allowed_users

DummyAuthenticator

class jupyterhub.auth.DummyAuthenticator(**kwargs)

Dummy Authenticator for testing

By default, any username + password is allowed If a non-empty password is set, any username will be allowed if it logs in with that password.

New in version 1.0.

admin_users c.DummyAuthenticator.admin_users = Set()

Set of users that will have admin rights on this JupyterHub.

Admin users have extra privileges:
  • Use the admin panel to see list of users logged in

  • Add / remove users in some authenticators

  • Restart / halt the hub

  • Start / stop users’ single-user servers

  • Can access each individual users’ single-user server (if configured)

Admin access should be treated the same way root access is.

Defaults to an empty set, in which case no user has admin access.

allowed_users c.DummyAuthenticator.allowed_users = Set()

Set of usernames that are allowed to log in.

Use this with supported authenticators to restrict which users can log in. This is an additional list that further restricts users, beyond whatever restrictions the authenticator has in place.

If empty, does not perform any additional restriction.

Changed in version 1.2: Authenticator.whitelist renamed to allowed_users

auth_refresh_age c.DummyAuthenticator.auth_refresh_age = Int(300)

The max age (in seconds) of authentication info before forcing a refresh of user auth info.

Refreshing auth info allows, e.g. requesting/re-validating auth tokens.

See refresh_user() for what happens when user auth info is refreshed (nothing by default).

auto_login c.DummyAuthenticator.auto_login = Bool(False)

Automatically begin the login process

rather than starting with a “Login with…” link at /hub/login

To work, .login_url() must give a URL other than the default /hub/login, such as an oauth handler or another automatic login handler, registered with .get_handlers().

New in version 0.8.

blocked_users c.DummyAuthenticator.blocked_users = Set()

Set of usernames that are not allowed to log in.

Use this with supported authenticators to restrict which users can not log in. This is an additional block list that further restricts users, beyond whatever restrictions the authenticator has in place.

If empty, does not perform any additional restriction.

Changed in version 1.2: Authenticator.blacklist renamed to blocked_users

delete_invalid_users c.DummyAuthenticator.delete_invalid_users = Bool(False)

Delete any users from the database that do not pass validation

When JupyterHub starts, .add_user will be called on each user in the database to verify that all users are still valid.

If delete_invalid_users is True, any users that do not pass validation will be deleted from the database. Use this if users might be deleted from an external system, such as local user accounts.

If False (default), invalid users remain in the Hub’s database and a warning will be issued. This is the default to avoid data loss due to config changes.

enable_auth_state c.DummyAuthenticator.enable_auth_state = Bool(False)

Enable persisting auth_state (if available).

auth_state will be encrypted and stored in the Hub’s database. This can include things like authentication tokens, etc. to be passed to Spawners as environment variables.

Encrypting auth_state requires the cryptography package.

Additionally, the JUPYTERHUB_CRYPT_KEY environment variable must contain one (or more, separated by ;) 32B encryption keys. These can be either base64 or hex-encoded.

If encryption is unavailable, auth_state cannot be persisted.

New in JupyterHub 0.8

password c.DummyAuthenticator.password = Unicode('')

Set a global password for all users wanting to log in.

This allows users with any username to log in with the same static password.

post_auth_hook c.DummyAuthenticator.post_auth_hook = Any(None)

An optional hook function that you can implement to do some bootstrapping work during authentication. For example, loading user account details from an external system.

This function is called after the user has passed all authentication checks and is ready to successfully authenticate. This function must return the authentication dict reguardless of changes to it.

This maybe a coroutine.

Example:

import os, pwd
def my_hook(authenticator, handler, authentication):
    user_data = pwd.getpwnam(authentication['name'])
    spawn_data = {
        'pw_data': user_data
        'gid_list': os.getgrouplist(authentication['name'], user_data.pw_gid)
    }

    if authentication['auth_state'] is None:
        authentication['auth_state'] = {}
    authentication['auth_state']['spawn_data'] = spawn_data

    return authentication

c.Authenticator.post_auth_hook = my_hook
refresh_pre_spawn c.DummyAuthenticator.refresh_pre_spawn = Bool(False)

Force refresh of auth prior to spawn.

This forces refresh_user() to be called prior to launching a server, to ensure that auth state is up-to-date.

This can be important when e.g. auth tokens that may have expired are passed to the spawner via environment variables from auth_state.

If refresh_user cannot refresh the user auth data, launch will fail until the user logs in again.

username_map c.DummyAuthenticator.username_map = Dict()

Dictionary mapping authenticator usernames to JupyterHub users.

Primarily used to normalize OAuth user names to local users.

username_pattern c.DummyAuthenticator.username_pattern = Unicode('')

Regular expression pattern that all valid usernames must match.

If a username does not match the pattern specified here, authentication will not be attempted.

If not set, allow any username.

whitelist c.DummyAuthenticator.whitelist = Set()

Deprecated, use Authenticator.allowed_users