github
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 |
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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 } |
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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 } |
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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 } |
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