{"html_url": "https://github.com/simonw/datasette/issues/417#issuecomment-752098906", "issue_url": "https://api.github.com/repos/simonw/datasette/issues/417", "id": 752098906, "node_id": "MDEyOklzc3VlQ29tbWVudDc1MjA5ODkwNg==", "user": {"value": 82988, "label": "psychemedia"}, "created_at": "2020-12-29T14:34:30Z", "updated_at": "2020-12-29T14:34:50Z", "author_association": "CONTRIBUTOR", "body": "FWIW, I had a look at `watchdog` for a `datasette` powered Jupyter notebook search tool: https://github.com/ouseful-testing/nbsearch/blob/main/nbsearch/nbwatchdog.py\r\n\r\nNot a production thing, just an experiment trying to explore what might be possible...", "reactions": "{\"total_count\": 0, \"+1\": 0, \"-1\": 0, \"laugh\": 0, \"hooray\": 0, \"confused\": 0, \"heart\": 0, \"rocket\": 0, \"eyes\": 0}", "issue": {"value": 421546944, "label": "Datasette Library"}, "performed_via_github_app": null}
{"html_url": "https://github.com/simonw/datasette/issues/417#issuecomment-586599424", "issue_url": "https://api.github.com/repos/simonw/datasette/issues/417", "id": 586599424, "node_id": "MDEyOklzc3VlQ29tbWVudDU4NjU5OTQyNA==", "user": {"value": 82988, "label": "psychemedia"}, "created_at": "2020-02-15T15:12:19Z", "updated_at": "2020-02-15T15:12:33Z", "author_association": "CONTRIBUTOR", "body": "So could the polling support also allow you to call sqlite_utils to update a database with csv files? (Though I'm guessing you would only want to handle changed files? Do your scrapers check and cache csv datestamps/hashes?)", "reactions": "{\"total_count\": 0, \"+1\": 0, \"-1\": 0, \"laugh\": 0, \"hooray\": 0, \"confused\": 0, \"heart\": 0, \"rocket\": 0, \"eyes\": 0}", "issue": {"value": 421546944, "label": "Datasette Library"}, "performed_via_github_app": null}
{"html_url": "https://github.com/simonw/datasette/issues/417#issuecomment-474280581", "issue_url": "https://api.github.com/repos/simonw/datasette/issues/417", "id": 474280581, "node_id": "MDEyOklzc3VlQ29tbWVudDQ3NDI4MDU4MQ==", "user": {"value": 82988, "label": "psychemedia"}, "created_at": "2019-03-19T10:06:42Z", "updated_at": "2019-03-19T10:06:42Z", "author_association": "CONTRIBUTOR", "body": "This would be really interesting but several possibilities in use arise, I think?\r\n\r\nFor example:\r\n\r\n- I put a new CSV file into the import dir and a new table is created therefrom\r\n- I put a CSV file into the import dir that replaces a previous file / table of the same name as a pre-existing table (eg files that contain monthly data in year to date). The data may also patch previous months, so a full replace / DROP on the original table may well be in order.\r\n- I put a CSV file into the import dir that updates a table of the same name as a pre-existing table (eg files that contain last month's data)\r\n\r\nCSV files may also have messy names compared to the table you want. Or for an update CSV, may have the form `MYTABLENAME-February2019.csv` etc", "reactions": "{\"total_count\": 0, \"+1\": 0, \"-1\": 0, \"laugh\": 0, \"hooray\": 0, \"confused\": 0, \"heart\": 0, \"rocket\": 0, \"eyes\": 0}", "issue": {"value": 421546944, "label": "Datasette Library"}, "performed_via_github_app": null}