{"html_url": "https://github.com/simonw/datasette/issues/394#issuecomment-641889565", "issue_url": "https://api.github.com/repos/simonw/datasette/issues/394", "id": 641889565, "node_id": "MDEyOklzc3VlQ29tbWVudDY0MTg4OTU2NQ==", "user": {"value": 58298410, "label": "LVerneyPEReN"}, "created_at": "2020-06-10T09:49:34Z", "updated_at": "2020-06-10T09:49:34Z", "author_association": "NONE", "body": "Hi,\r\n\r\nI came across this issue while looking for a way to spawn Datasette as a SQLite files viewer in JupyterLab. I found https://github.com/simonw/jupyterserverproxy-datasette-demo which seems to be the most up to date proof of concept, but it seems to be failing to list the available db (at least in the Binder demo, https://hub.gke.mybinder.org/user/simonw-jupyters--datasette-demo-uw4dmlnn/datasette/, I only have `:memory`).\r\n\r\nDoes anyone tried to improve on this proof of concept to have a Datasette visualization for SQLite files?\r\n\r\nThanks!", "reactions": "{\"total_count\": 0, \"+1\": 0, \"-1\": 0, \"laugh\": 0, \"hooray\": 0, \"confused\": 0, \"heart\": 0, \"rocket\": 0, \"eyes\": 0}", "issue": {"value": 396212021, "label": "base_url configuration setting"}, "performed_via_github_app": null} {"html_url": "https://github.com/simonw/datasette/issues/394#issuecomment-642522285", "issue_url": "https://api.github.com/repos/simonw/datasette/issues/394", "id": 642522285, "node_id": "MDEyOklzc3VlQ29tbWVudDY0MjUyMjI4NQ==", "user": {"value": 58298410, "label": "LVerneyPEReN"}, "created_at": "2020-06-11T09:15:19Z", "updated_at": "2020-06-11T09:15:19Z", "author_association": "NONE", "body": "Hi @wragge,\r\n\r\nThis looks great, thanks for the share! I refactored it into a self-contained function, binding on a random available TCP port (multi-user context). I am using subprocess API directly since the `%run` magic was leaving defunct process behind :/\r\n\r\n![image](https://user-images.githubusercontent.com/58298410/84367566-b5d0d500-abd4-11ea-96e2-f5c05a28e506.png)\r\n\r\n```python\r\nimport socket\r\n\r\nfrom signal import SIGINT\r\nfrom subprocess import Popen, PIPE\r\n\r\nfrom IPython.display import display, HTML\r\nfrom notebook.notebookapp import list_running_servers\r\n\r\n\r\ndef get_free_tcp_port():\r\n \"\"\"\r\n Get a free TCP port.\r\n \"\"\"\r\n tcp = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\r\n tcp.bind(('', 0))\r\n _, port = tcp.getsockname()\r\n tcp.close()\r\n return port\r\n\r\n\r\ndef datasette(database):\r\n \"\"\"\r\n Run datasette on an SQLite database.\r\n \"\"\"\r\n # Get current running servers\r\n servers = list_running_servers()\r\n\r\n # Get the current base url\r\n base_url = next(servers)['base_url']\r\n\r\n # Get a free port\r\n port = get_free_tcp_port()\r\n\r\n # Create a base url for Datasette suing the proxy path\r\n proxy_url = f'{base_url}proxy/absolute/{port}/'\r\n\r\n # Display a link to Datasette\r\n display(HTML(f'

View Datasette (Click on the stop button to close the Datasette server)

'))\r\n\r\n # Launch Datasette\r\n with Popen(\r\n [\r\n 'python', '-m', 'datasette', '--',\r\n database,\r\n '--port', str(port),\r\n '--config', f'base_url:{proxy_url}'\r\n ],\r\n stdout=PIPE,\r\n stderr=PIPE,\r\n bufsize=1,\r\n universal_newlines=True\r\n ) as p:\r\n print(p.stdout.readline(), end='')\r\n while True:\r\n try:\r\n line = p.stderr.readline()\r\n if not line:\r\n break\r\n print(line, end='')\r\n exit_code = p.poll()\r\n except KeyboardInterrupt:\r\n p.send_signal(SIGINT)\r\n```\r\n\r\nIdeally, I'd like some extra magic to notify users when they are leaving the closing the notebook tab and make them terminate the running datasette processes. I'll be looking for it.", "reactions": "{\"total_count\": 1, \"+1\": 0, \"-1\": 0, \"laugh\": 0, \"hooray\": 0, \"confused\": 0, \"heart\": 1, \"rocket\": 0, \"eyes\": 0}", "issue": {"value": 396212021, "label": "base_url configuration setting"}, "performed_via_github_app": null}