id,node_id,number,title,user,state,locked,assignee,milestone,comments,created_at,updated_at,closed_at,author_association,pull_request,body,repo,type,active_lock_reason,performed_via_github_app,reactions,draft,state_reason
377156339,MDU6SXNzdWUzNzcxNTYzMzk=,371,datasette publish digitalocean plugin,82988,closed,0,,,3,2018-11-04T14:07:41Z,2021-01-04T20:14:28Z,2021-01-04T20:14:28Z,CONTRIBUTOR,,"Provide support for launching `datasette` on Digital Ocean.

Example: [Deploy Docker containers into Digital Ocean](https://blog.machinebox.io/deploy-machine-box-in-digital-ocean-385265fbeafd).

Digital Ocean also has a preconfigured VM running Docker that can be launched from the command line via the Digital Ocean API: [Docker One-Click Application](https://www.digitalocean.com/docs/one-clicks/docker/).

Related:
- Launching containers in Digital Ocean servers running docker: [How To Provision and Manage Remote Docker Hosts with Docker Machine on Ubuntu 16.04](https://www.digitalocean.com/community/tutorials/how-to-provision-and-manage-remote-docker-hosts-with-docker-machine-on-ubuntu-16-04)
- [How To Use Doctl, the Official DigitalOcean Command-Line Client](https://www.digitalocean.com/community/tutorials/how-to-use-doctl-the-official-digitalocean-command-line-client)",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/371/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed
492153532,MDU6SXNzdWU0OTIxNTM1MzI=,573,Exposing Datasette via  Jupyter-server-proxy,82988,closed,0,,,3,2019-09-11T10:32:36Z,2020-03-26T09:41:30Z,2020-03-26T09:41:30Z,CONTRIBUTOR,,"It is possible to expose a running `datasette` service in a Jupyter environment such as a MyBinder environment using the [`jupyter-server-proxy`](https://github.com/jupyterhub/jupyter-server-proxy).

For example, using [this demo Binder](https://mybinder.org/v2/gh/binder-examples/r/master?filepath=index.ipynb) which has the server proxy installed, we can then upload a simple test database from the notebook homepage, from a Jupyter termianl install datasette and set it running against the test db on eg port 8001 and then view it via the path `proxy/8001`.

Clicking links results in 404s though because  the `datasette` links aren't relative to the current path?

![image](https://user-images.githubusercontent.com/82988/64689964-44b69280-d487-11e9-8f9f-3681422bcc9f.png)


",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/573/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed
432870248,MDU6SXNzdWU0MzI4NzAyNDg=,431,Datasette doesn't reload when database file changes,82988,closed,0,,,3,2019-04-13T16:50:43Z,2019-05-02T05:13:55Z,2019-05-02T05:13:54Z,CONTRIBUTOR,,"My understanding of the `--reload` option was that if the database file changed `datasette` would automatically reload.

I'm running on a Mac and from the `datasette` UI queries don't seem to be picking up data in a newly changed db (I checked the db timestamp - it certainly updated).

I was also expecting to see some sort of log statement in the datasette logging to say that it had detected a file change and restarted, but don't see anything there?

Will try to check on an Ubuntu box when I get a chance to see if this is a Mac thing.",107914493,issue,,,"{""url"": ""https://api.github.com/repos/simonw/datasette/issues/431/reactions"", ""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,completed