{"id": 718938889, "node_id": "MDU6SXNzdWU3MTg5Mzg4ODk=", "number": 5, "title": "Figure out how to display images from <en-media> tags inline in Datasette", "user": {"value": 9599, "label": "simonw"}, "state": "open", "locked": 0, "assignee": null, "milestone": null, "comments": 6, "created_at": "2020-10-11T22:17:03Z", "updated_at": "2020-10-16T20:16:28Z", "closed_at": null, "author_association": "MEMBER", "pull_request": null, "body": "Relates to #1. Evernote XML looks like this:\r\n\r\n```xml\r\n<?xml version=\"1.0\"?>\r\n<en-note>\r\n  <div>This note includes two images.</div>\r\n  <div>\r\n    <b>The Python logo</b>\r\n  </div>\r\n  <div>\r\n    <en-media hash=\"61098c2c541de7f0a907c301dd6542da\" type=\"image/svg+xml\" width=\"125\"/>\r\n  </div>\r\n  <div>\r\n    <b>The Evernote logo</b>\r\n  </div>\r\n  <div>\r\n    <en-media hash=\"91bd26175acac0b2ffdb6efac199f8ca\" type=\"image/svg+xml\" width=\"125\"/>\r\n  </div>\r\n</en-note>\r\n```\r\nThat hash is the md5 we use to store resources. It should be possible to turn these into embedded image tags, especially if done in conjunction with the https://github.com/simonw/datasette-media plugin.", "repo": {"value": 303218369, "label": "evernote-to-sqlite"}, "type": "issue", "active_lock_reason": null, "performed_via_github_app": null, "reactions": "{\"url\": \"https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/5/reactions\", \"total_count\": 0, \"+1\": 0, \"-1\": 0, \"laugh\": 0, \"hooray\": 0, \"confused\": 0, \"heart\": 0, \"rocket\": 0, \"eyes\": 0}", "draft": null, "state_reason": null}
{"id": 723499985, "node_id": "MDExOlB1bGxSZXF1ZXN0NTA1MDc2NDE4", "number": 5, "title": "Add fitbit-to-sqlite", "user": {"value": 4632208, "label": "mrphil007"}, "state": "open", "locked": 0, "assignee": null, "milestone": null, "comments": 0, "created_at": "2020-10-16T20:04:05Z", "updated_at": "2020-10-16T20:04:05Z", "closed_at": null, "author_association": "FIRST_TIME_CONTRIBUTOR", "pull_request": "dogsheep/dogsheep.github.io/pulls/5", "body": "", "repo": {"value": 214746582, "label": "dogsheep.github.io"}, "type": "pull", "active_lock_reason": null, "performed_via_github_app": null, "reactions": "{\"url\": \"https://api.github.com/repos/dogsheep/dogsheep.github.io/issues/5/reactions\", \"total_count\": 0, \"+1\": 0, \"-1\": 0, \"laugh\": 0, \"hooray\": 0, \"confused\": 0, \"heart\": 0, \"rocket\": 0, \"eyes\": 0}", "draft": 0, "state_reason": null}
{"id": 472115381, "node_id": "MDU6SXNzdWU0NzIxMTUzODE=", "number": 49, "title": "extracts= should support multiple-column extracts", "user": {"value": 9599, "label": "simonw"}, "state": "open", "locked": 0, "assignee": null, "milestone": null, "comments": 10, "created_at": "2019-07-24T07:06:41Z", "updated_at": "2020-10-16T19:18:19Z", "closed_at": null, "author_association": "OWNER", "pull_request": null, "body": "Lookup tables can be constructed on compound columns, but the `extracts=` option doesn't currently support that.\r\n\r\nRight now extracts can be defined in two ways:\r\n```python\r\n# Extract these columns into tables with the same name:\r\ndogs = db.table(\"dogs\", extracts=[\"breed\", \"most_recent_trophy\"])\r\n\r\n# Same as above but with custom table names:\r\ndogs = db.table(\"dogs\", extracts={\"breed\": \"Breeds\", \"most_recent_trophy\": \"Trophies\"})\r\n```\r\nNeed some kind of syntax for much more complicated extractions, like when two columns (say \"source\" and \"source_version\") are extracted into a single table.", "repo": {"value": 140912432, "label": "sqlite-utils"}, "type": "issue", "active_lock_reason": null, "performed_via_github_app": null, "reactions": "{\"url\": \"https://api.github.com/repos/simonw/sqlite-utils/issues/49/reactions\", \"total_count\": 0, \"+1\": 0, \"-1\": 0, \"laugh\": 0, \"hooray\": 0, \"confused\": 0, \"heart\": 0, \"rocket\": 0, \"eyes\": 0}", "draft": null, "state_reason": null}
{"id": 573578548, "node_id": "MDU6SXNzdWU1NzM1Nzg1NDg=", "number": 89, "title": "Ability to customize columns used by extracts= feature", "user": {"value": 9599, "label": "simonw"}, "state": "open", "locked": 0, "assignee": null, "milestone": null, "comments": 3, "created_at": "2020-03-01T16:54:48Z", "updated_at": "2020-10-16T19:17:50Z", "closed_at": null, "author_association": "OWNER", "pull_request": null, "body": "@simonw any thoughts on allow extracts to specify the lookup column name? If I'm understanding the documentation right, `.lookup()` allows you to define the \"value\" column (the documentation uses name), but when you use `extracts` keyword as part of `.insert()`, `.upsert()` etc. the lookup must be done against a column named \"value\". I have an existing lookup table that I've populated with columns \"id\" and \"name\" as opposed to \"id\" and \"value\", and seems I can't use `extracts=`, unless I'm missing something...\r\n\r\nInitial thought on how to do this would be to allow the dictionary value to be a tuple of table name column pair... so:\r\n```\r\ntable = db.table(\"trees\", extracts={\"species_id\": (\"Species\", \"name\"})\r\n```\r\n\r\nI haven't dug too much into the existing code yet, but does this make sense? Worth doing?\r\n\r\n_Originally posted by @chrishas35 in https://github.com/simonw/sqlite-utils/issues/46#issuecomment-592999503_", "repo": {"value": 140912432, "label": "sqlite-utils"}, "type": "issue", "active_lock_reason": null, "performed_via_github_app": null, "reactions": "{\"url\": \"https://api.github.com/repos/simonw/sqlite-utils/issues/89/reactions\", \"total_count\": 0, \"+1\": 0, \"-1\": 0, \"laugh\": 0, \"hooray\": 0, \"confused\": 0, \"heart\": 0, \"rocket\": 0, \"eyes\": 0}", "draft": null, "state_reason": null}