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add migration doc for 5.0
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docs/source/howto/upgrading-v5.md
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(upgrading-v5)=
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# Upgrading to JupyterHub 5
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This document describes the specific considerations.
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For general upgrading tips, see the [docs on upgrading jupyterhub](upgrading).
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You can see the [changelog](changelog) for more detailed information.
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## Python version
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JupyterHub 5 requires Python 3.8.
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Make sure you have at least Python 3.8 in your user and hub environments before upgrading.
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## Database upgrades
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JupyterHub 5 does have a database schema upgrade,
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so you should backup your database and run `jupyterhub upgrade-db` after upgrading and before starting JupyterHub.
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The updated schema only adds some columns, so is one that should be not too disruptive to roll back if you need to.
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## User subdomains
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All JupyterHub deployments which care about protecting users from each other are encouraged to enable per-user domains, if possible,
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as this provides the best isolation between user servers.
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To enable subdomains, set:
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```python
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c.JupyterHub.subdomain_host = "https://myjupyterhub.example.org"
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```
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If you were using subdomains before
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JupyterHub 5 allows complete customization of the subdomain scheme and changes the default subdomain scheme.
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via the new {attr}`.JupyterHub.subdomain_hook`.
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You can provide a completely custom subdomain scheme, or select one of two default implementations by name: `idna` or `legacy`. `idna` is the default.
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The new default behavior can be selected explicitly via:
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```python
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c.JupyterHub.subdomain_hook = "idna"
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```
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Or to delay any changes to URLs for your users, you can opt-in to the pre-5.0 behavior with:
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```python
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c.JupyterHub.subdomain_hook = "legacy"
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```
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The key differences of the new `idna` scheme:
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- It should always produce valid domains, regardless of username (not true for the legacy scheme when using characters that might need escaping or usernames that are long)
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- each Service gets its own subdomain on `service--` rather than sharing `services.`
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A table of example of user and services, and their domains with the old and new scheme.
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In the examples below, we'll assume the configuration enabling subdomains:
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```python
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c.JupyterHub.subdomain_host = "https://jupyter.example.org"
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```
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| kind | name | legacy | idna |
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| ------- | ------------------ | ---------------------------------------------------------- | ----------------------------------------------------------------------------------------------------- |
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| user | laudna | `laudna.jupyter.example.org` | `laudna.jupyter.example.org` |
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| service | bells | `services.jupyter.example.org` | `bells--service.jupyter.example.org` |
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| user | jester@mighty.nein | `jester_40mighty.nein.jupyter.example.org` (may not work!) | `u-jestermi--8037680.jupyter.example.org` (not as pretty, but guaranteed to be valid and not collide) |
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## Tokens in URLs
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JupyterHub 5 does not accept `?token=...` URLs by default in single-user servers.
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These URLs allow one user to force another to login as them,
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which can be the start of an inter-user attack.
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There is a valid use case for producing links which allow starting a fully authenticated session,
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so you may still opt in to this behavior by setting:
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```python
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c.Spawner.environment.update({"JUPYTERHUB_ALLOW_TOKEN_IN_URL": "1"})
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```
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if you are not concerned about protecting your users from each other.
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If you have subdomains enabled, the threat is substantially reduced.
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## Sharing
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The big new feature in JupyterHub 5.0 is sharing.
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Check it out in [the sharing docs](sharing-tutorial).
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## Authenticator.allow_all and allow_existing_users
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Prior to JupyterHub 5, JupyterHub Authenticators had the _implicit_ default behavior to allow any user who successfully authenticates to login **if no users are explicitly allowed** (i.e. `allowed_users` is empty on the base class).
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This behavior was considered a too-permissive default in Authenticators that source large user pools like OAuthenticator, which would accept e.g. all users with a Google account by default.
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As a result, OAuthenticator 16 introduced two configuration options:
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1. `Authenticator.allow_all` (default: False)
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2. `Authenticator.allow_existing_users` (default: True if allowed_users is non-empty, False otherwise)
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JupyterHub 5 adopts these options for all Authenticators,
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essentially having the effect that _some_ allow configuration is required for anyone to be able to login.
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If you want to preserve the pre-5.0 behavior with no `allow` configuration, set:
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```python
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c.Authenticator.allow_all = True
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```
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`allow_existing_users` defaults are meant to be backward-compatible, but you can now _explicitly_ allow or disallow based on presence in the database by setting `Authenticator.allow_existing_users`.
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:::{seealso}
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[Authenticator config docs](authenticators) for details on these and other Authenticator options.
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:::
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## Bootstrap 5
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JupyterHub uses the CSS framework [bootstrap](https://getbootstrap.com), which is upgraded from 3.4 to 5.3.
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If you don't have any custom HTML templates, you are likely to only see relatively minor aesthetic changes.
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If you have custom HTML templates or spawner options forms, they may need some updating to look right.
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See the bootstrap documentation. Since we upgraded two major versions, you might need to look at both v4 and v5 documentation for what has changed since 3.x:
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- [migrating to v4](https://getbootstrap.com/docs/4.6/migration/)
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- [migrating to v5](https://getbootstrap.com/docs/5.3/migration/)
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If you customized the JupyterHub CSS by recompiling from LESS files, bootstrap migrated to SCSS.
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You can start by autoconverting your LESS to SCSS (it's not that different) with [less2sass](https://github.com/ekryski/less2sass):
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```bash
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npm install --global less2scss
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# converts less/foo.less to scss/foo.scss
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less2scss --src ./less --dst ./scss
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```
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Bootstrap also allows configuring things with [CSS variables](https://getbootstrap.com/docs/5.3/customize/css-variables/), so depending on what you have customized, you may be able to get away with just adding a CSS file defining variables without rebuilding the whole SCSS.
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## groups required with Authenticator.manage_groups
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Setting `Authenticator.manage_groups = True` allows the Authenticator to manage group membership by returning `groups` from the authentication model.
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However, this option is available even on Authenticators that do not support it, which led to confusion.
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Starting with JupyterHub 5, if `manage_groups` is True `authenticate` _must_ return a groups field, otherwise an error is raised.
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This prevents confusion when users enable managed groups that is not implemented.
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If an Authenticator _does_ support managing groups but was not providing a `groups` field in order to leave membership unmodified, it must specify `"groups": None` to make this explicit instead of implicit (this is backward-compatible).
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The steps are discussed in detail, so if you get stuck at any step you can always refer to this guide.
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For specific version migrations:
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```{toctree}
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:maxdepth: 1
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./upgrading-v5
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```
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## Read the Changelog
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The [changelog](changelog) contains information on what has
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