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Backport PR #3257: Update services-basics.md to use jupyterhub_idle_culler
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@@ -5,7 +5,7 @@ that interacts with the Hub's REST API. A Service may perform a specific
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or action or task. For example, shutting down individuals' single user
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notebook servers that have been idle for some time is a good example of
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a task that could be automated by a Service. Let's look at how the
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[cull_idle_servers][] script can be used as a Service.
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[jupyterhub_idle_culler][] script can be used as a Service.
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## Real-world example to cull idle servers
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@@ -15,11 +15,11 @@ document will:
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- explain some basic information about API tokens
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- clarify that API tokens can be used to authenticate to
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single-user servers as of [version 0.8.0](../changelog)
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- show how the [cull_idle_servers][] script can be:
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- show how the [jupyterhub_idle_culler][] script can be:
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- used in a Hub-managed service
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- run as a standalone script
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Both examples for `cull_idle_servers` will communicate tasks to the
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Both examples for `jupyterhub_idle_culler` will communicate tasks to the
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Hub via the REST API.
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## API Token basics
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@@ -78,17 +78,23 @@ single-user servers, and only cookies can be used for authentication.
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0.8 supports using JupyterHub API tokens to authenticate to single-user
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servers.
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## Configure `cull-idle` to run as a Hub-Managed Service
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## Configure the idle culler to run as a Hub-Managed Service
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Install the idle culler:
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```
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pip install jupyterhub-idle-culler
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```
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In `jupyterhub_config.py`, add the following dictionary for the
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`cull-idle` Service to the `c.JupyterHub.services` list:
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`idle-culler` Service to the `c.JupyterHub.services` list:
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```python
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c.JupyterHub.services = [
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{
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'name': 'cull-idle',
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'name': 'idle-culler',
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'admin': True,
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'command': [sys.executable, 'cull_idle_servers.py', '--timeout=3600'],
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'command': [sys.executable, '-m', 'jupyterhub_idle_culler', '--timeout=3600'],
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}
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]
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```
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@@ -101,21 +107,21 @@ where:
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## Run `cull-idle` manually as a standalone script
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Now you can run your script, i.e. `cull_idle_servers`, by providing it
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Now you can run your script by providing it
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the API token and it will authenticate through the REST API to
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interact with it.
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This will run `cull-idle` manually. `cull-idle` can be run as a standalone
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This will run the idle culler service manually. It can be run as a standalone
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script anywhere with access to the Hub, and will periodically check for idle
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servers and shut them down via the Hub's REST API. In order to shutdown the
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servers, the token given to cull-idle must have admin privileges.
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Generate an API token and store it in the `JUPYTERHUB_API_TOKEN` environment
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variable. Run `cull_idle_servers.py` manually.
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variable. Run `jupyterhub_idle_culler` manually.
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```bash
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export JUPYTERHUB_API_TOKEN='token'
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python3 cull_idle_servers.py [--timeout=900] [--url=http://127.0.0.1:8081/hub/api]
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python -m jupyterhub_idle_culler [--timeout=900] [--url=http://127.0.0.1:8081/hub/api]
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```
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[cull_idle_servers]: https://github.com/jupyterhub/jupyterhub/blob/master/examples/cull-idle/cull_idle_servers.py
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[jupyterhub_idle_culler]: https://github.com/jupyterhub/jupyterhub-idle-culler
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