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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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1880968405 | PR_kwDOJHON9s5ZhYny | 14 | fix: fix the problem of Chinese character garbling | barretlee 2698003 | open | 0 | 0 | 2023-09-04T23:48:28Z | 2023-09-04T23:48:28Z | FIRST_TIME_CONTRIBUTOR | dogsheep/apple-notes-to-sqlite/pulls/14 |
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apple-notes-to-sqlite 611552758 | pull | { "url": "https://api.github.com/repos/dogsheep/apple-notes-to-sqlite/issues/14/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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1650984552 | PR_kwDOJHON9s5NbyYN | 13 | use universal command | amlestin 14314871 | open | 0 | 0 | 2023-04-02T15:10:54Z | 2023-04-02T15:37:34Z | FIRST_TIME_CONTRIBUTOR | dogsheep/apple-notes-to-sqlite/pulls/13 | apple-notes-to-sqlite 611552758 | pull | { "url": "https://api.github.com/repos/dogsheep/apple-notes-to-sqlite/issues/13/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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1650981564 | I_kwDOJHON9s5iZ_q8 | 12 | Error running pytest | amlestin 14314871 | open | 0 | 0 | 2023-04-02T15:02:36Z | 2023-04-02T15:07:10Z | NONE |
Solution: This is likely a PYTHONPATH issue due to having pytest installed both globally and in the venv. We can guarantee the tests run by adding the current directory to sys.path automatically using
The alternative is to activate the venv, install pytest, deactivate, then activate the venv again (https://stackoverflow.com/questions/35045038/how-do-i-use-pytest-with-virtualenv) |
apple-notes-to-sqlite 611552758 | issue | { "url": "https://api.github.com/repos/dogsheep/apple-notes-to-sqlite/issues/12/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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1618130434 | I_kwDOJHON9s5gcrYC | 11 | Implement a SQL view to make it easier to query files in a nested folder | simonw 9599 | open | 0 | 3 | 2023-03-09T23:19:28Z | 2023-03-09T23:24:01Z | MEMBER | Working with nested data in SQL is tricky, can I make it easier with a view or canned query? |
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1617962395 | I_kwDOJHON9s5gcCWb | 10 | Include schema in README | simonw 9599 | closed | 0 | 0 | 2023-03-09T20:38:59Z | 2023-03-09T20:48:18Z | 2023-03-09T20:48:18Z | MEMBER | As seen in other tools like https://github.com/simonw/git-history |
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1617938730 | I_kwDOJHON9s5gb8kq | 9 | Default to just storing plaintext, store HTML if `--html` is passed | simonw 9599 | open | 0 | 0 | 2023-03-09T20:19:06Z | 2023-03-09T20:19:06Z | MEMBER | The full I'm tempted to say you don't get HTML unless you pass a |
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1617823309 | I_kwDOJHON9s5gbgZN | 8 | Increase performance using macnotesapp | RhetTbull 41546558 | closed | 0 | 1 | 2023-03-09T18:51:05Z | 2023-03-14T22:00:22Z | 2023-03-14T22:00:21Z | NONE | Neat project! You can probably increase performance using my python interface to Notes, macnotesapp, which uses Scripting Bridge and bulk queries for much better performance than AppleScript. Another related project is PyXA which uses Scripting Bridge to access Notes (and many other apps) and can return all the notes at once as opposed to calling AppleScript for each note. macnotesapp allows you to access multiple accounts and folders as well. ```python from macnotesapp import NotesApp NotesApp() provides interface to Notes.appnotesapp = NotesApp() Get list of notes (Note objects for each note)notes = notesapp.notes() note = notes[0] print( note.id, note.account, note.folder, note.name, note.body, note.plaintext, note.password_protected, ) print(note.asdict()) ``` |
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1617769847 | I_kwDOJHON9s5gbTV3 | 7 | Folder support | simonw 9599 | closed | 0 | 6 | 2023-03-09T18:21:33Z | 2023-03-09T20:48:18Z | 2023-03-09T20:48:18Z | MEMBER | Notes can live in folders. These relationships should be exported too. |
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1617602868 | I_kwDOJHON9s5gaqk0 | 6 | Character encoding problem | simonw 9599 | open | 0 | 2 | 2023-03-09T16:44:34Z | 2023-04-14T15:22:09Z | MEMBER | I ran against a recent note with this in it:
And got back:
Pasting that into https://ftfy.vercel.app/?s=Actions+%E2%80%9A%C3%B6%C3%B4%C3%94%E2%88%8F%C3%A8+ gives this:
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1616440856 | I_kwDOJHON9s5gWO4Y | 5 | Configure full text search | simonw 9599 | open | 0 | 0 | 2023-03-09T05:20:46Z | 2023-03-09T05:20:46Z | MEMBER | FTS would be useful. Maybe even extract the plain text from the notes to make that index easier to create, rather than creating it against the HTML. Can use the |
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1616429236 | I_kwDOJHON9s5gWMC0 | 4 | Support incremental updates | simonw 9599 | open | 0 | 2 | 2023-03-09T05:14:00Z | 2023-03-09T18:20:56Z | MEMBER | Running this script can take several hours against a large notes database. Would be neat if it could run against just the notes that have been modified since it last ran. Could pull the max Problem is I don't actually know what order it iterates over the notes in. |
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1616422013 | I_kwDOJHON9s5gWKR9 | 3 | `apple-notes-to-sqlite --dump` option | simonw 9599 | closed | 0 | 0 | 2023-03-09T05:05:49Z | 2023-03-09T05:06:14Z | 2023-03-09T05:06:14Z | MEMBER | Option that doesn't write to the database at all, it just outputs all the notes to stdout as newline-delimited JSON. |
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1616354999 | I_kwDOJHON9s5gV563 | 2 | First working version | simonw 9599 | closed | 0 | 7 | 2023-03-09T03:53:00Z | 2023-03-09T05:10:22Z | 2023-03-09T05:10:22Z | MEMBER | It's going to shell out to I'm going with that option because https://appscript.sourceforge.io/status.html warns against the other potential methods:
But |
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1616347574 | I_kwDOJHON9s5gV4G2 | 1 | Initial proof of concept with ChatGPT | simonw 9599 | closed | 0 | 3 | 2023-03-09T03:44:39Z | 2023-03-09T03:51:55Z | 2023-03-09T03:51:55Z | MEMBER | I'm using ChatGPT to figure out enough AppleScript to get at my notes data. |
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1943259395 | I_kwDOEhK-wc5z08kD | 16 | time data '2014-11-21T11:44:12.000Z' does not match format '%Y%m%dT%H%M%SZ' | linonetwo 3746270 | open | 0 | 0 | 2023-10-14T13:24:39Z | 2023-10-14T13:24:39Z | NONE |
enex is exported by evernote mac client |
evernote-to-sqlite 303218369 | issue | { "url": "https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/16/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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1042759769 | PR_kwDOEhK-wc4uAJb9 | 15 | include note tags in the export | d-rep 436138 | open | 0 | 0 | 2021-11-02T20:04:31Z | 2021-11-02T20:04:31Z | FIRST_TIME_CONTRIBUTOR | dogsheep/evernote-to-sqlite/pulls/15 | When parsing the Evernote Here is an example of how to query the data after the script has run:
My .enex source file is 3+ years old so I am assuming the structure hasn't changed. Interestingly, my notebook names show up in the tags list where the tag name is prefixed with |
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986829194 | MDU6SXNzdWU5ODY4MjkxOTQ= | 14 | xml.etree.ElementTree.Parse Error - mismatched tag | step21 46968 | open | 0 | 1 | 2021-09-02T14:46:36Z | 2021-09-02T14:53:11Z | NONE | This is an error message I get upon parsing the enex file of my Inbox. Please find the full error message below. Any hints welcome.
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978743426 | MDU6SXNzdWU5Nzg3NDM0MjY= | 13 | xml.etree.ElementTree.ParseError: not well-formed (invalid token) | simonw 9599 | closed | 0 | 4 | 2021-08-25T05:48:21Z | 2021-08-26T18:45:13Z | 2021-08-26T18:45:13Z | MEMBER | Got this error today:
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892383270 | MDExOlB1bGxSZXF1ZXN0NjQ1MTAwODQ4 | 12 | Recovering of malformed ENEX file | engdan77 8431437 | open | 0 | 0 | 2021-05-15T07:49:31Z | 2021-05-15T19:57:50Z | FIRST_TIMER | dogsheep/evernote-to-sqlite/pulls/12 | Hey .. Awesome work developing this project, that I found very useful to me and saved me some work.. Thanks.. :) Some background to this PR... I've been searching around for a tool allowing me to transforming my personal collection of Evernote notes to a format easier to search and potentially easier import to future services. Now I discovered problem processing my large data ~5GB using the existing source using Pythons builtin xml-parser that unfortunately was unable to succeed without exception breaking the process. My first attempt I tried to adapt to more robust lxml package allowing huge data and with "recover", but even if it worked better it also failed processing the whole data. Even using the memory efficient etree.iterparse() it also unfortunately got into trouble. And with no luck finding any other libraries successfully parsing this enormous file I instead chose to build a "hugexmlparser" module that allows parsing this huge file using yield (on a byte-to-byte-level) and allows you to set a maximum size for <note> to cater for potential malformed or undesirable large attachments to export, should succeed covering potential exceptions. Some cases found where the parses discover malformed XML within <content> so also in those cases try to save as much as possible by escaping (to be dealt at a later stage, better than nothing), and if a missing end </note> before new (malformed?) it would add this after encounter a new start-tag. The code for the recovery process is a bit rough and for certain room for refactoring, but at the moment is seem to achieve what I wanted. Now with the above we pass this a minor changed version of save_note_recovery() assure the existing works. Also adding this as a new recover-enex command to click and kept the original options. A couple of new tests was added as well to check against using this command. Now this currently works to me, but thought I might share a PR in such as you find use for this yourself or found useful to others finding this repository. As a second step .. When the time allows it would have been nice to also be able to easily export from SQLite to formatted HTML/MD and attachments saved... but that might perhaps be better a separate project ... or if you or someone else have something that might shared to save some trouble, I would be interested ;-) |
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792851444 | MDU6SXNzdWU3OTI4NTE0NDQ= | 11 | XML parse error | dskrad 3613583 | closed | 0 | 2 | 2021-01-24T17:38:54Z | 2021-02-11T21:18:58Z | 2021-02-11T21:18:48Z | NONE | I am on Windows 10 using Windows Subsystem for Linux, Python 3.8. I installed evernote-to-sqlite via pipx (in a venv). I tried using enex files from the latest version of Evernote for Windows (10.6.9 which only lets you export 50 notes at a time) and from Legacy Evernote (6.25.2.9198 which lets you export all your notes at once). The enex file from latest evernote gives this error:
The enex file from Legacy Evernote gives this error:
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770712149 | MDExOlB1bGxSZXF1ZXN0NTQyNDA2OTEw | 10 | BugFix for encoding and not update info. | riverzhou 1277270 | closed | 0 | 1 | 2020-12-18T08:58:54Z | 2021-02-11T22:37:56Z | 2021-02-11T22:37:56Z | NONE | dogsheep/evernote-to-sqlite/pulls/10 | Bugfix 1: Traceback (most recent call last): File "d:\anaconda3\lib\runpy.py", line 194, in _run_module_as_main return _run_code(code, main_globals, None, File "d:\anaconda3\lib\runpy.py", line 87, in _run_code exec(code, run_globals) File "D:\Anaconda3\Scripts\evernote-to-sqlite.exe__main__.py", line 7, in <module> File "d:\anaconda3\lib\site-packages\click\core.py", line 829, in call File "d:\anaconda3\lib\site-packages\click\core.py", line 782, in main rv = self.invoke(ctx) File "d:\anaconda3\lib\site-packages\click\core.py", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) return ctx.invoke(self.callback, ctx.params) File "d:\anaconda3\lib\site-packages\click\core.py", line 610, in invoke return callback(*args, kwargs) File "d:\anaconda3\lib\site-packages\evernote_to_sqlite\cli.py", line 30, in enex for tag, note in find_all_tags(fp, ["note"], progress_callback=bar.update): File "d:\anaconda3\lib\site-packages\evernote_to_sqlite\utils.py", line 11, in find_all_tags chunk = fp.read(1024 * 1024) UnicodeDecodeError: 'gbk' codec can't decode byte 0xa4 in position 383: illegal multibyte sequence Bugfix 2: Traceback (most recent call last): File "D:\Anaconda3\Scripts\evernote-to-sqlite-script.py", line 33, in <module> sys.exit(load_entry_point('evernote-to-sqlite==0.3', 'console_scripts', 'evernote-to-sqlite')()) File "D:\Anaconda3\lib\site-packages\click\core.py", line 829, in call return self.main(args, kwargs) File "D:\Anaconda3\lib\site-packages\click\core.py", line 782, in main rv = self.invoke(ctx) File "D:\Anaconda3\lib\site-packages\click\core.py", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "D:\Anaconda3\lib\site-packages\click\core.py", line 1066, in invoke return ctx.invoke(self.callback, ctx.params) File "D:\Anaconda3\lib\site-packages\click\core.py", line 610, in invoke return callback(args, **kwargs) File "D:\Anaconda3\lib\site-packages\evernote_to_sqlite-0.3-py3.8.egg\evernote_to_sqlite\cli.py", line 31, in enex File "D:\Anaconda3\lib\site-packages\evernote_to_sqlite-0.3-py3.8.egg\evernote_to_sqlite\utils.py", line 28, in save_note AttributeError: 'NoneType' object has no attribute 'text' |
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748372469 | MDU6SXNzdWU3NDgzNzI0Njk= | 9 | ParseError: undefined entity š | mkorosec 4028322 | closed | 0 | 1 | 2020-11-22T23:04:35Z | 2021-02-11T22:10:55Z | 2021-02-11T22:10:55Z | CONTRIBUTOR | I encountered a parse error if the enex file contained š or Run command: evernote-to-sqlite enex evernote.db evernote.enex
Workaround:
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evernote-to-sqlite 303218369 | issue | { "url": "https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/9/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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748370021 | MDExOlB1bGxSZXF1ZXN0NTI1MzcxMDI5 | 8 | fix import error if note has no "updated" element | mkorosec 4028322 | closed | 0 | 0 | 2020-11-22T22:51:05Z | 2021-02-11T22:34:06Z | 2021-02-11T22:34:06Z | CONTRIBUTOR | dogsheep/evernote-to-sqlite/pulls/8 | I got the following error when executing evernote-to-sqlite enex evernote.db evernote.enex
Seems that in some cases the updated element is not added to the note, this is a part of the problematic note:
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743297582 | MDU6SXNzdWU3NDMyOTc1ODI= | 7 | evernote-to-sqlite on windows 10 give this error: TypeError: insert() got an unexpected keyword argument 'replace' | martinvanwieringen 42387931 | closed | 0 | 1 | 2020-11-15T16:57:28Z | 2021-02-11T22:13:17Z | 2021-02-11T22:13:17Z | NONE | running evernote-to-sqlite 0.2 on windows 10. Command: evernote-to-sqlite enex evernote.db MyNotes.enex I get the followinng error: File "C:\Users\marti\AppData\Roaming\Python\Python38\site-packages\evernote_to_sqlite\utils.py", line 46, in save_note note_id = db["notes"].insert(row, hash_id="id", replace=True, alter=True).last_pk TypeError: insert() got an unexpected keyword argument 'replace' Removing replace=True, Leads to below error: note_id = db["notes"].insert(row, hash_id="id", alter=True).last_pk File "C:\Users\marti\AppData\Roaming\Python\Python38\site-packages\sqlite_utils\db.py", line 924, in insert return self.insert_all( File "C:\Users\marti\AppData\Roaming\Python\Python38\site-packages\sqlite_utils\db.py", line 1046, in insert_all result = self.db.conn.execute(sql, values) sqlite3.IntegrityError: UNIQUE constraint failed: notes.id |
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718949182 | MDU6SXNzdWU3MTg5NDkxODI= | 6 | Better handling of OCR data | simonw 9599 | closed | 0 | 2 | 2020-10-11T23:20:52Z | 2020-10-12T00:04:10Z | 2020-10-12T00:04:10Z | MEMBER |
Originally posted by @simonw in https://github.com/dogsheep/evernote-to-sqlite/issues/4#issuecomment-706784028 |
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718938889 | MDU6SXNzdWU3MTg5Mzg4ODk= | 5 | Figure out how to display images from <en-media> tags inline in Datasette | simonw 9599 | open | 0 | 6 | 2020-10-11T22:17:03Z | 2020-10-16T20:16:28Z | MEMBER | Relates to #1. Evernote XML looks like this: ```xml <en-note>
This note includes two images.
The Python logo
<en-media hash="61098c2c541de7f0a907c301dd6542da" type="image/svg+xml" width="125"/>
The Evernote logo
<en-media hash="91bd26175acac0b2ffdb6efac199f8ca" type="image/svg+xml" width="125"/>
</en-note> ``` That 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. |
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718938508 | MDU6SXNzdWU3MTg5Mzg1MDg= | 4 | Configure FTS + add an index on the date columns | simonw 9599 | closed | 0 | 2 | 2020-10-11T22:14:40Z | 2020-10-11T23:41:29Z | 2020-10-11T23:41:29Z | MEMBER | Sort by date descending is likely the most common way of sorting, so that column should be indexed. Also add FTS configuration for both notes and the OCR column on resources. |
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718938321 | MDU6SXNzdWU3MTg5MzgzMjE= | 3 | Use a content hash for the note IDs | simonw 9599 | closed | 0 | 0 | 2020-10-11T22:13:46Z | 2020-10-11T23:15:04Z | 2020-10-11T23:15:04Z | MEMBER | Without a GUID note IDs are pretty ineffective, but using a hash of the contents will at least avoid creating identical duplicates in the future. |
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718938046 | MDU6SXNzdWU3MTg5MzgwNDY= | 2 | Convert dates to a better format | simonw 9599 | closed | 0 | 0 | 2020-10-11T22:12:33Z | 2020-10-11T23:15:03Z | 2020-10-11T23:15:03Z | MEMBER | evernote-to-sqlite 303218369 | issue | { "url": "https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/2/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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718934942 | MDU6SXNzdWU3MTg5MzQ5NDI= | 1 | Documentation on how to use this with Datasette | simonw 9599 | open | 0 | 1 | 2020-10-11T21:56:27Z | 2020-10-11T22:14:00Z | MEMBER | In particular how to use |
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1871935751 | I_kwDOD079W85vk3kH | 40 | ImportError: cannot import name 'formatargspec' from 'inspect' | hosslikw 36752421 | closed | 0 | 0 | 2023-08-29T15:36:31Z | 2023-08-31T03:18:07Z | 2023-08-31T03:18:06Z | NONE | I get the following error when running "pip3 install dogsheep-photos" " from inspect import ismethod, isclass, formatargspec ImportError: cannot import name 'formatargspec' from 'inspect' (/Library/Frameworks/Python.framework/Versions/3.12/lib/python3.12/inspect.py). Did you mean: 'formatargvalues'?" Python 3.12.0rc1 sqlite 3.43.0 datasette, version 0.64.3 |
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1827436260 | PR_kwDOD079W85WtVyk | 39 | Missing option in datasette instructions | coldclimate 319473 | open | 0 | 0 | 2023-07-29T10:34:48Z | 2023-07-29T10:34:48Z | FIRST_TIME_CONTRIBUTOR | dogsheep/dogsheep-photos/pulls/39 | Gotta tell it where to look |
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1827427757 | PR_kwDOD079W85WtUKG | 38 | photos-to-sql not found? | coldclimate 319473 | closed | 0 | 2 | 2023-07-29T09:59:42Z | 2023-07-29T10:01:27Z | 2023-07-29T10:01:23Z | FIRST_TIME_CONTRIBUTOR | dogsheep/dogsheep-photos/pulls/38 | I wonder if I can't actually get this command to work ( |
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1293698966 | PR_kwDOD079W84600uh | 37 | Fix former command name in readme | DanLipsitt 578773 | open | 0 | 0 | 2022-07-05T02:09:13Z | 2022-07-05T02:09:13Z | FIRST_TIME_CONTRIBUTOR | dogsheep/dogsheep-photos/pulls/37 | Looks like a previous commit missed a |
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988493790 | MDExOlB1bGxSZXF1ZXN0NzI3MzkwODM1 | 36 | Correct naming of tool in readme | badboy 2129 | open | 0 | 1 | 2021-09-05T12:05:40Z | 2022-01-06T16:04:46Z | FIRST_TIME_CONTRIBUTOR | dogsheep/dogsheep-photos/pulls/36 | dogsheep-photos 256834907 | pull | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/36/reactions", "total_count": 2, "+1": 2, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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842695374 | MDU6SXNzdWU4NDI2OTUzNzQ= | 35 | Support to annotate photos on other than macOS OSes | ligurio 1151557 | open | 0 | 1 | 2021-03-28T09:01:25Z | 2021-04-05T07:37:57Z | NONE | dogsheep-photos allows to annotate photos using Apple Photo's db. It would be nice to have such ability on other OSes too. For example using trained local model or using Google Vision API (see #14). |
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830283447 | MDU6SXNzdWU4MzAyODM0NDc= | 34 | bucket name | dsisnero 6213 | open | 0 | 0 | 2021-03-12T16:40:57Z | 2021-03-12T16:40:57Z | NONE | I followed the instructions to setup credentials but I am getting a invalid bucket name. Can you put a sample auth.json file in the base that shows the correct format for this? Thanks |
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803338729 | MDU6SXNzdWU4MDMzMzg3Mjk= | 33 | photo-to-sqlite: command not found | robmarkcole 11855322 | open | 0 | 4 | 2021-02-08T08:42:57Z | 2021-02-12T15:00:44Z | NONE | Having installed in a venv I get: ``` (venv) (base) Robins-MacBook:datasette robin$ photo-to-sqlite apple-photos photos.db -bash: photo-to-sqlite: command not found ``` |
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803333769 | MDU6SXNzdWU4MDMzMzM3Njk= | 32 | KeyError: 'Contents' on running upload | robmarkcole 11855322 | open | 0 | 3 | 2021-02-08T08:36:37Z | 2021-07-22T06:40:25Z | NONE | Following the readme, on big sur, and having entered my auth creds via ``` (venv) (base) Robins-MacBook:datasette robin$ dogsheep-photos upload photos.db ~/Pictures/Photos\ /Users/robin/Pictures/Library.photoslibrary --dry-run Fetching existing keys from S3... Traceback (most recent call last): File "/Users/robin/datasette/venv/bin/dogsheep-photos", line 8, in <module> sys.exit(cli()) File "/Users/robin/datasette/venv/lib/python3.8/site-packages/click/core.py", line 829, in call return self.main(args, kwargs) File "/Users/robin/datasette/venv/lib/python3.8/site-packages/click/core.py", line 782, in main rv = self.invoke(ctx) File "/Users/robin/datasette/venv/lib/python3.8/site-packages/click/core.py", line 1259, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "/Users/robin/datasette/venv/lib/python3.8/site-packages/click/core.py", line 1066, in invoke return ctx.invoke(self.callback, ctx.params) File "/Users/robin/datasette/venv/lib/python3.8/site-packages/click/core.py", line 610, in invoke return callback(args, **kwargs) File "/Users/robin/datasette/venv/lib/python3.8/site-packages/dogsheep_photos/cli.py", line 96, in upload key.split(".")[0] for key in get_all_keys(client, creds["photos_s3_bucket"]) File "/Users/robin/datasette/venv/lib/python3.8/site-packages/dogsheep_photos/utils.py", line 46, in get_all_keys for row in page["Contents"]: KeyError: 'Contents' ``` Possibly since the bucket is in |
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771511344 | MDExOlB1bGxSZXF1ZXN0NTQzMDE1ODI1 | 31 | Update for Big Sur | RhetTbull 41546558 | open | 0 | 7 | 2020-12-20T04:36:45Z | 2023-08-08T15:52:52Z | CONTRIBUTOR | dogsheep/dogsheep-photos/pulls/31 | Refactored out the SQL for extracting aesthetic scores to use osxphotos -- adds compatbility for Big Sur via osxphotos which has been updated for new table names in Big Sur. Have not yet refactored the SQL for extracting labels which is still compatible with Big Sur. |
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655974395 | MDExOlB1bGxSZXF1ZXN0NDQ4MzU1Njgw | 30 | Handle empty bucket on first upload. Allow specifying the endpoint_url for services other than S3 (like b2 and digitalocean spaces) | scanner 110038 | open | 0 | 0 | 2020-07-13T16:15:26Z | 2020-07-13T16:15:26Z | FIRST_TIME_CONTRIBUTOR | dogsheep/dogsheep-photos/pulls/30 | Finally got around to trying dogsheep-photos but I want to use backblaze's b2 service instead of AWS S3. Had to add a way to optionally specify the endpoint_url to connect to. Then with the bucket being empty the initial key retrieval would fail. Probably a better way to see that the bucket is empty than doing a test inside the paginator loop. Also probably a better way to specify the endpoint_url as we get and test for it twice using the same code in two different places but did not want to spend too much time worrying about it. |
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638375985 | MDExOlB1bGxSZXF1ZXN0NDM0MTYyMzE2 | 29 | Fixed bug in SQL query for photo scores | RhetTbull 41546558 | closed | 0 | 1 | 2020-06-14T15:39:22Z | 2020-12-04T22:32:36Z | 2020-12-04T22:32:27Z | CONTRIBUTOR | dogsheep/dogsheep-photos/pulls/29 | The join on ZCOMPUTEDASSETATTRIBUTES used the wrong columns. In most of the Photos database tables, table.ZASSET joins with ZGENERICASSET.Z_PK |
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624490929 | MDU6SXNzdWU2MjQ0OTA5Mjk= | 28 | Invalid SQL no such table: main.uploads | dmd 41439 | open | 0 | 1 | 2020-05-25T21:25:39Z | 2020-12-24T22:26:22Z | NONE | http://127.0.0.1:8001/photos/photos_with_apple_metadata gives "Invalid SQL no such table: main.uploads" |
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621486115 | MDU6SXNzdWU2MjE0ODYxMTU= | 27 | photos_with_apple_metadata view should include labels | simonw 9599 | open | 0 | 0 | 2020-05-20T06:06:17Z | 2020-05-20T06:06:17Z | MEMBER | Here's one way to add that:
|
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621444763 | MDU6SXNzdWU2MjE0NDQ3NjM= | 26 | Rename project to dogsheep-photos | simonw 9599 | closed | 0 | 8 | 2020-05-20T04:12:34Z | 2020-05-20T04:31:02Z | 2020-05-20T04:30:40Z | MEMBER |
|
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621332242 | MDU6SXNzdWU2MjEzMzIyNDI= | 25 | Create a public demo | simonw 9599 | closed | 0 | 5 | 2020-05-19T22:47:20Z | 2020-05-21T22:26:16Z | 2020-05-20T05:54:18Z | MEMBER | So I can show people what this does, using some of my photos. |
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621323348 | MDU6SXNzdWU2MjEzMjMzNDg= | 24 | Configurable URL for images | simonw 9599 | open | 0 | 1 | 2020-05-19T22:25:56Z | 2020-05-20T06:00:29Z | MEMBER | This is hard-coded at the moment, which is bad: https://github.com/dogsheep/photos-to-sqlite/blob/d5d69b9019703c47bc251444838578dd752801e2/photos_to_sqlite/cli.py#L269-L272 |
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621280529 | MDU6SXNzdWU2MjEyODA1Mjk= | 23 | create-subset command for creating a publishable subset of a photos database | simonw 9599 | closed | 0 | 1 | 2020-05-19T20:58:20Z | 2020-05-19T22:32:48Z | 2020-05-19T22:32:37Z | MEMBER | I want to share a subset of my photos, without sharing everything. Idea:
So the command takes a SQL query that returns sha256 hashes, then creates a new file called |
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615626118 | MDU6SXNzdWU2MTU2MjYxMTg= | 22 | Try out ExifReader | simonw 9599 | open | 0 | 4 | 2020-05-11T06:32:13Z | 2020-05-14T05:59:53Z | MEMBER | https://pypi.org/project/ExifReader/ New fork that should be able to handle EXIF in HEIC files. Forked here: https://github.com/ianare/exif-py/issues/102#issuecomment-626376522 Refs #3 |
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615474990 | MDU6SXNzdWU2MTU0NzQ5OTA= | 21 | bpylist.archiver.CircularReference: archive has a cycle with uid(13) | simonw 9599 | closed | 0 | 11 | 2020-05-10T20:58:06Z | 2020-12-19T07:44:49Z | 2020-05-10T21:57:13Z | MEMBER | ```
% python -i $(which photos-to-sqlite) apple-photos photos.db During handling of the above exception, another exception occurred: Traceback (most recent call last):
File "/Users/simon/.local/share/virtualenvs/photos-to-sqlite-0uGSHd6e/bin/photos-to-sqlite", line 11, in <module>
load_entry_point('photos-to-sqlite', 'console_scripts', 'photos-to-sqlite')()
File "/Users/simon/.local/share/virtualenvs/photos-to-sqlite-0uGSHd6e/lib/python3.8/site-packages/click/core.py", line 829, in call
return self.main(args, kwargs)
File "/Users/simon/.local/share/virtualenvs/photos-to-sqlite-0uGSHd6e/lib/python3.8/site-packages/click/core.py", line 782, in main
rv = self.invoke(ctx)
File "/Users/simon/.local/share/virtualenvs/photos-to-sqlite-0uGSHd6e/lib/python3.8/site-packages/click/core.py", line 1259, in invoke
return _process_result(sub_ctx.command.invoke(sub_ctx))
File "/Users/simon/.local/share/virtualenvs/photos-to-sqlite-0uGSHd6e/lib/python3.8/site-packages/click/core.py", line 1066, in invoke
return ctx.invoke(self.callback, ctx.params)
File "/Users/simon/.local/share/virtualenvs/photos-to-sqlite-0uGSHd6e/lib/python3.8/site-packages/click/core.py", line 610, in invoke
return callback(args, **kwargs)
File "/Users/simon/Dropbox/Development/photos-to-sqlite/photos_to_sqlite/cli.py", line 249, in apple_photos
photo_row = osxphoto_to_row(sha256, photo)
File "/Users/simon/Dropbox/Development/photos-to-sqlite/photos_to_sqlite/utils.py", line 91, in osxphoto_to_row
place = photo.place
File "/Users/simon/.local/share/virtualenvs/photos-to-sqlite-0uGSHd6e/lib/python3.8/site-packages/osxphotos/photoinfo.py", line 614, in place
self._place = PlaceInfo5(self._info["reverse_geolocation"])
File "/Users/simon/.local/share/virtualenvs/photos-to-sqlite-0uGSHd6e/lib/python3.8/site-packages/osxphotos/placeinfo.py", line 505, in init
self._plrevgeoloc = archiver.unarchive(revgeoloc_bplist)
File "/Users/simon/.local/share/virtualenvs/photos-to-sqlite-0uGSHd6e/lib/python3.8/site-packages/bpylist/archiver.py", line 16, in unarchive
return Unarchive(plist).top_object()
File "/Users/simon/.local/share/virtualenvs/photos-to-sqlite-0uGSHd6e/lib/python3.8/site-packages/bpylist/archiver.py", line 256, in top_object
return self.decode_object(self.top_uid)
File "/Users/simon/.local/share/virtualenvs/photos-to-sqlite-0uGSHd6e/lib/python3.8/site-packages/bpylist/archiver.py", line 247, in decode_object
obj = klass.decode_archive(ArchivedObject(raw_obj, self))
File "/Users/simon/.local/share/virtualenvs/photos-to-sqlite-0uGSHd6e/lib/python3.8/site-packages/osxphotos/placeinfo.py", line 126, in decode_archive
mapItem = archive.decode("mapItem")
File "/Users/simon/.local/share/virtualenvs/photos-to-sqlite-0uGSHd6e/lib/python3.8/site-packages/bpylist/archiver.py", line 140, in decode
return self._unarchiver.decode_key(self._object, key)
File "/Users/simon/.local/share/virtualenvs/photos-to-sqlite-0uGSHd6e/lib/python3.8/site-packages/bpylist/archiver.py", line 216, in decode_key
return self.decode_object(val)
File "/Users/simon/.local/share/virtualenvs/photos-to-sqlite-0uGSHd6e/lib/python3.8/site-packages/bpylist/archiver.py", line 247, in decode_object
obj = klass.decode_archive(ArchivedObject(raw_obj, self))
File "/Users/simon/.local/share/virtualenvs/photos-to-sqlite-0uGSHd6e/lib/python3.8/site-packages/osxphotos/placeinfo.py", line 180, in decode_archive
sortedPlaceInfos = archive.decode("sortedPlaceInfos")
File "/Users/simon/.local/share/virtualenvs/photos-to-sqlite-0uGSHd6e/lib/python3.8/site-packages/bpylist/archiver.py", line 140, in decode
return self._unarchiver.decode_key(self._object, key)
File "/Users/simon/.local/share/virtualenvs/photos-to-sqlite-0uGSHd6e/lib/python3.8/site-packages/bpylist/archiver.py", line 216, in decode_key
return self.decode_object(val)
File "/Users/simon/.local/share/virtualenvs/photos-to-sqlite-0uGSHd6e/lib/python3.8/site-packages/bpylist/archiver.py", line 247, in decode_object
obj = klass.decode_archive(ArchivedObject(raw_obj, self))
File "/Users/simon/.local/share/virtualenvs/photos-to-sqlite-0uGSHd6e/lib/python3.8/site-packages/bpylist/archiver.py", line 112, in decode_archive
return [archive._decode_index(index) for index in uids]
File "/Users/simon/.local/share/virtualenvs/photos-to-sqlite-0uGSHd6e/lib/python3.8/site-packages/bpylist/archiver.py", line 112, in <listcomp>
return [archive._decode_index(index) for index in uids]
File "/Users/simon/.local/share/virtualenvs/photos-to-sqlite-0uGSHd6e/lib/python3.8/site-packages/bpylist/archiver.py", line 137, in _decode_index
return self._unarchiver.decode_object(index)
File "/Users/simon/.local/share/virtualenvs/photos-to-sqlite-0uGSHd6e/lib/python3.8/site-packages/bpylist/archiver.py", line 247, in decode_object
obj = klass.decode_archive(ArchivedObject(raw_obj, self))
File "/Users/simon/.local/share/virtualenvs/photos-to-sqlite-0uGSHd6e/lib/python3.8/site-packages/osxphotos/placeinfo.py", line 217, in decode_archive
placeType = archive.decode("placeType")
File "/Users/simon/.local/share/virtualenvs/photos-to-sqlite-0uGSHd6e/lib/python3.8/site-packages/bpylist/archiver.py", line 140, in decode
return self._unarchiver.decode_key(self._object, key)
File "/Users/simon/.local/share/virtualenvs/photos-to-sqlite-0uGSHd6e/lib/python3.8/site-packages/bpylist/archiver.py", line 216, in decode_key
return self.decode_object(val)
File "/Users/simon/.local/share/virtualenvs/photos-to-sqlite-0uGSHd6e/lib/python3.8/site-packages/bpylist/archiver.py", line 227, in decode_object
raise CircularReference(index)
bpylist.archiver.CircularReference: archive has a cycle with uid(13)
|
dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/21/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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613006393 | MDU6SXNzdWU2MTMwMDYzOTM= | 20 | Ability to serve thumbnailed Apple Photo from its place on disk | simonw 9599 | closed | 0 | 10 | 2020-05-06T02:17:50Z | 2020-05-25T20:14:22Z | 2020-05-25T20:09:41Z | MEMBER | A custom Datasette plugin that can be run locally on a Mac laptop which knows how to serve photos such that they can be seen in the browser. Originally posted by @simonw in https://github.com/dogsheep/photos-to-sqlite/issues/19#issuecomment-624406285 |
dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/20/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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613002220 | MDU6SXNzdWU2MTMwMDIyMjA= | 19 | apple-photos command should work even if upload has not run | simonw 9599 | closed | 0 | 1 | 2020-05-06T02:02:25Z | 2020-05-19T20:59:59Z | 2020-05-19T20:59:59Z | MEMBER | I want people to be able to query their Apple Photos metadata without having to first run To do this I can have |
dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/19/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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612860758 | MDU6SXNzdWU2MTI4NjA3NTg= | 18 | Switch CI solution to GitHub Actions with a macOS runner | simonw 9599 | open | 0 | 1 | 2020-05-05T20:03:50Z | 2020-05-05T23:49:18Z | MEMBER | Refs #17. |
dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/18/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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612860531 | MDU6SXNzdWU2MTI4NjA1MzE= | 17 | Only install osxphotos if running on macOS | simonw 9599 | closed | 0 | 3 | 2020-05-05T20:03:26Z | 2020-05-05T20:20:05Z | 2020-05-05T20:11:23Z | MEMBER | The build is broken right now because you can't |
dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/17/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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612287234 | MDU6SXNzdWU2MTIyODcyMzQ= | 16 | Import machine-learning detected labels (dog, llama etc) from Apple Photos | simonw 9599 | open | 0 | 13 | 2020-05-05T02:45:43Z | 2020-05-05T05:38:16Z | MEMBER | Follow-on from #1. Apple Photos runs some very sophisticated machine learning on-device to figure out if photos are of dogs, llamas and so on. I really want to extract those labels out into my own database. |
dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/16/reactions", "total_count": 2, "+1": 0, "-1": 0, "laugh": 1, "hooray": 1, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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612151767 | MDU6SXNzdWU2MTIxNTE3Njc= | 15 | Expose scores from ZCOMPUTEDASSETATTRIBUTES | simonw 9599 | closed | 0 | 7 | 2020-05-04T20:36:07Z | 2020-12-20T04:44:22Z | 2020-05-05T00:11:45Z | MEMBER | The Apple Photos database has a |
dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/15/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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608512747 | MDU6SXNzdWU2MDg1MTI3NDc= | 14 | Annotate photos using the Google Cloud Vision API | simonw 9599 | open | 0 | 5 | 2020-04-28T18:09:03Z | 2020-04-28T18:19:06Z | MEMBER | It can detect faces, run OCR, do image labeling (it knows what a lemur is!) and do object localization where it identifies objects and returns bounding polygons for them. |
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607888367 | MDU6SXNzdWU2MDc4ODgzNjc= | 13 | Also upload movie files | simonw 9599 | open | 0 | 2 | 2020-04-27T22:11:25Z | 2020-04-28T00:39:45Z | MEMBER | The Need to cover movies taken by my phone and DSLR too. |
dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/13/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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606033104 | MDU6SXNzdWU2MDYwMzMxMDQ= | 12 | If less than 500MB, show size in MB not GB | simonw 9599 | open | 0 | 1 | 2020-04-24T04:35:01Z | 2020-04-24T04:35:25Z | MEMBER | Just saw this:
|
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606032950 | MDU6SXNzdWU2MDYwMzI5NTA= | 11 | Try running S3 uploads in a thread pool | simonw 9599 | closed | 0 | 0 | 2020-04-24T04:34:31Z | 2020-04-24T16:45:41Z | 2020-04-24T16:45:41Z | MEMBER | Since #10 provided such a speedup, can the same thing be done for the actual uploads? http://ls.pwd.io/2013/06/parallel-s3-uploads-using-boto-and-threads-in-python/ suggests it can really help performance. |
dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/11/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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606028272 | MDU6SXNzdWU2MDYwMjgyNzI= | 10 | Speed up hashing step using threads | simonw 9599 | closed | 0 | 0 | 2020-04-24T04:20:08Z | 2020-04-24T04:32:35Z | 2020-04-24T04:32:35Z | MEMBER | dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/10/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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605938063 | MDU6SXNzdWU2MDU5MzgwNjM= | 9 | upload command should be resumable, should only upload photos not already uploaded | simonw 9599 | closed | 0 | 2 | 2020-04-23T23:31:08Z | 2020-04-23T23:39:14Z | 2020-04-23T23:39:14Z | MEMBER | Follow on from #4. |
dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/9/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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605147638 | MDU6SXNzdWU2MDUxNDc2Mzg= | 8 | Should I have used MD5 instead of SHA256? | simonw 9599 | closed | 0 | 2 | 2020-04-23T00:02:08Z | 2020-04-23T00:03:35Z | 2020-04-23T00:03:35Z | MEMBER | https://docs.aws.amazon.com/AmazonS3/latest/API/RESTCommonResponseHeaders.html
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602585497 | MDU6SXNzdWU2MDI1ODU0OTc= | 7 | Integrate image content hashing | simonw 9599 | open | 0 | 2 | 2020-04-19T00:36:58Z | 2021-08-26T02:01:01Z | MEMBER | To spot duplicate images (where the file content differs such that the sha256 is no longer a match) it would be useful to calculate and store perceptual hashes of some sort. |
dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/7/reactions", "total_count": 1, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 1, "rocket": 0, "eyes": 0 } |
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602575575 | MDU6SXNzdWU2MDI1NzU1NzU= | 6 | Add progress bar to upload command | simonw 9599 | closed | 0 | 2 | 2020-04-18T23:32:41Z | 2020-04-19T00:15:24Z | 2020-04-19T00:15:24Z | MEMBER | Upload was added in #4 |
dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/6/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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602551638 | MDU6SXNzdWU2MDI1NTE2Mzg= | 5 | photos-to-sqlite s3-auth command | simonw 9599 | closed | 0 | 1 | 2020-04-18T21:05:25Z | 2020-04-18T21:08:44Z | 2020-04-18T21:08:44Z | MEMBER | Modeled on |
dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/5/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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602533539 | MDU6SXNzdWU2MDI1MzM1Mzk= | 4 | Upload all my photos to a secure S3 bucket | simonw 9599 | closed | 0 | Apple Photos online and securely browsable 5324096 | 14 | 2020-04-18T19:24:50Z | 2020-04-18T21:58:11Z | 2020-04-18T21:57:13Z | MEMBER |
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602533481 | MDU6SXNzdWU2MDI1MzM0ODE= | 3 | Import EXIF data into SQLite - lens used, ISO, aperture etc | simonw 9599 | open | 0 | Apple Photos online and securely browsable 5324096 | 2 | 2020-04-18T19:24:31Z | 2021-10-05T12:38:24Z | MEMBER | dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/3/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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602533352 | MDU6SXNzdWU2MDI1MzMzNTI= | 2 | Ability to convert HEIC images to JPEG | simonw 9599 | closed | 0 | Apple Photos online and securely browsable 5324096 | 1 | 2020-04-18T19:23:43Z | 2020-04-28T16:47:21Z | 2020-04-28T16:47:21Z | MEMBER | dogsheep-photos 256834907 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep-photos/issues/2/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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602533300 | MDU6SXNzdWU2MDI1MzMzMDA= | 1 | Import photo metadata from Apple Photos into SQLite | simonw 9599 | open | 0 | Apple Photos online and securely browsable 5324096 | 8 | 2020-04-18T19:23:26Z | 2020-05-04T02:41:40Z | MEMBER | Faces, albums, locations, that kind of thing. |
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1641117021 | PR_kwDODtX3eM5M66op | 6 | Add permalink virtual field to items table | xavdid 1231935 | open | 0 | 1 | 2023-03-26T22:22:38Z | 2023-03-29T18:38:52Z | FIRST_TIME_CONTRIBUTOR | dogsheep/hacker-news-to-sqlite/pulls/6 | I added a virtual column (no storage overhead) to the output that easily links back to the source. It works nicely out of the box with datasette: I got bit a bit by https://github.com/simonw/sqlite-utils/issues/411, so I went with a manual I also added my best-guess instructions for local development on this package. I'm shooting in the dark, so feel free to replace with how you work on it locally. |
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1353418822 | PR_kwDODtX3eM497MOV | 5 | The program fails when the user has no submissions | fernand0 2467 | open | 0 | 0 | 2022-08-28T17:25:45Z | 2022-08-28T17:25:45Z | FIRST_TIME_CONTRIBUTOR | dogsheep/hacker-news-to-sqlite/pulls/5 | Tested with:
Result:
There is a problem of style with the patch (but not sure what to do) because with the new inicialization ( submitted = []) the part
is not needed. Maybe there is a more adequate way of doing this. |
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1205867842 | I_kwDODtX3eM5H4BVC | 4 | Retrieve the top-level story for a comment | telotortium 1755789 | open | 0 | 0 | 2022-04-15T20:25:39Z | 2022-04-15T20:25:39Z | NONE | I think that each comment inserted into the database should include a column |
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952189173 | MDU6SXNzdWU5NTIxODkxNzM= | 3 | Use HN algolia endpoint to retrieve trees | simonw 9599 | open | 0 | 3 | 2021-07-25T03:35:27Z | 2021-07-25T18:41:17Z | MEMBER | The
Here's an example that loads quickly, with about 50 comments: https://hn.algolia.com/api/v1/items/27941108 It doesn't appear to use pagination at all - if a thread is big then the response is big. I ran this search to find some stories with more than 1000 comments: https://hn.algolia.com/api/v1/search?tags=story&numericFilters=num_comments%3E=1000 Here's one: https://news.ycombinator.com/item?id=25015967 with 4759 comments. Hitting the API takes 41s and returns 3.7 MB of JSON!
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952179830 | MDU6SXNzdWU5NTIxNzk4MzA= | 2 | Command for fetching Hacker News threads from the search API | simonw 9599 | open | 0 | 4 | 2021-07-25T02:00:45Z | 2021-07-25T03:12:57Z | MEMBER | I want to be able to fetch every item for a domain, e.g. https://news.ycombinator.com/from?site=simonwillison.net |
hacker-news-to-sqlite 248903544 | issue | { "url": "https://api.github.com/repos/dogsheep/hacker-news-to-sqlite/issues/2/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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585526292 | MDU6SXNzdWU1ODU1MjYyOTI= | 1 | Set up full text search | simonw 9599 | closed | 0 | 1 | 2020-03-21T15:57:35Z | 2020-03-21T19:47:46Z | 2020-03-21T19:45:52Z | MEMBER | Should run against |
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927385540 | MDU6SXNzdWU5MjczODU1NDA= | 8 | any guidance / experience on imessage-to-sqlite ? | Casyfill 2675621 | open | 0 | 0 | 2021-06-22T15:46:16Z | 2021-06-22T15:46:16Z | NONE | dogsheep.github.io 214746582 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep.github.io/issues/8/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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925384329 | MDExOlB1bGxSZXF1ZXN0NjczODcyOTc0 | 7 | Add instagram-to-sqlite | gavindsouza 36654812 | open | 0 | 0 | 2021-06-19T12:26:16Z | 2021-07-28T07:58:59Z | FIRST_TIME_CONTRIBUTOR | dogsheep/dogsheep.github.io/pulls/7 | The tool covers only chat imports at the time of opening this PR but I'm planning to import everything else that I feel inquisitive about |
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842765105 | MDExOlB1bGxSZXF1ZXN0NjAyMjYxMDky | 6 | Add testres-db tool | ligurio 1151557 | closed | 0 | 1 | 2021-03-28T15:43:23Z | 2022-02-16T05:12:05Z | 2022-02-16T05:12:05Z | NONE | dogsheep/dogsheep.github.io/pulls/6 | dogsheep.github.io 214746582 | pull | { "url": "https://api.github.com/repos/dogsheep/dogsheep.github.io/issues/6/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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723499985 | MDExOlB1bGxSZXF1ZXN0NTA1MDc2NDE4 | 5 | Add fitbit-to-sqlite | mrphil007 4632208 | open | 0 | 0 | 2020-10-16T20:04:05Z | 2020-10-16T20:04:05Z | FIRST_TIME_CONTRIBUTOR | dogsheep/dogsheep.github.io/pulls/5 | dogsheep.github.io 214746582 | pull | { "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 } |
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558715564 | MDExOlB1bGxSZXF1ZXN0MzcwMDI0Njk3 | 4 | Add beeminder-to-sqlite | bcongdon 706257 | closed | 0 | 0 | 2020-02-02T15:51:36Z | 2020-10-12T00:36:16Z | 2020-10-12T00:36:16Z | CONTRIBUTOR | dogsheep/dogsheep.github.io/pulls/4 | dogsheep.github.io 214746582 | pull | { "url": "https://api.github.com/repos/dogsheep/dogsheep.github.io/issues/4/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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543717994 | MDExOlB1bGxSZXF1ZXN0MzU3OTc0MzI2 | 3 | Add todoist-to-sqlite | bcongdon 706257 | closed | 0 | 0 | 2019-12-30T04:02:59Z | 2020-10-12T00:35:58Z | 2020-10-12T00:35:57Z | CONTRIBUTOR | dogsheep/dogsheep.github.io/pulls/3 | Really enjoying getting into the dogsheep/datasette ecosystem. I made a downloader for Todoist, and I think/hope others might find this useful |
dogsheep.github.io 214746582 | pull | { "url": "https://api.github.com/repos/dogsheep/dogsheep.github.io/issues/3/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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541274681 | MDU6SXNzdWU1NDEyNzQ2ODE= | 2 | Add linkedin-to-sqlite | mnp 881925 | open | 0 | 0 | 2019-12-21T03:13:40Z | 2019-12-21T03:13:40Z | NONE | There is an API available. https://developer.linkedin.com/docs/rest-api# At the minimum, I would think contact list and messages would be of interest. |
dogsheep.github.io 214746582 | issue | { "url": "https://api.github.com/repos/dogsheep/dogsheep.github.io/issues/2/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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519979091 | MDExOlB1bGxSZXF1ZXN0MzM4NjQ3Mzc4 | 1 | Add parkrun-to-sqlite | mrw34 1101318 | closed | 0 | 0 | 2019-11-08T12:05:32Z | 2020-10-12T00:35:16Z | 2020-10-12T00:35:16Z | CONTRIBUTOR | dogsheep/dogsheep.github.io/pulls/1 | dogsheep.github.io 214746582 | pull | { "url": "https://api.github.com/repos/dogsheep/dogsheep.github.io/issues/1/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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1795187493 | I_kwDODLZ_YM5rAGMl | 12 | Switch to pyproject.toml | simonw 9599 | closed | 0 | 2 | 2023-07-09T01:06:56Z | 2023-07-09T01:19:43Z | 2023-07-09T01:19:42Z | MEMBER | First of my CLI tools to use https://til.simonwillison.net/python/pyproject |
pocket-to-sqlite 213286752 | issue | { "url": "https://api.github.com/repos/dogsheep/pocket-to-sqlite/issues/12/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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1345452427 | I_kwDODLZ_YM5QMfmL | 11 | -a option is used for "--auth" and for "--all" | fernand0 2467 | closed | 0 | 3 | 2022-08-21T10:50:48Z | 2022-08-21T21:11:57Z | 2022-08-21T21:11:57Z | NONE | I'm not sure which option is best, instead of -a -all. |
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1246826792 | I_kwDODLZ_YM5KUREo | 10 | When running `auth` command, don't overwrite an existing auth.json file | ashanan 11887 | closed | 0 | 3 | 2022-05-24T16:42:20Z | 2022-09-07T15:07:38Z | 2022-08-22T16:17:19Z | NONE | Ran the |
pocket-to-sqlite 213286752 | issue | { "url": "https://api.github.com/repos/dogsheep/pocket-to-sqlite/issues/10/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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801780625 | MDU6SXNzdWU4MDE3ODA2MjU= | 9 | SSL Error | jfeiwell 12669260 | open | 0 | 2 | 2021-02-05T02:12:56Z | 2021-02-07T18:45:04Z | NONE | Here's the error I get when running
Does this require python 3? |
pocket-to-sqlite 213286752 | issue | { "url": "https://api.github.com/repos/dogsheep/pocket-to-sqlite/issues/9/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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797728929 | MDU6SXNzdWU3OTc3Mjg5Mjk= | 8 | QUESTION: extract full text | darribas 417363 | open | 0 | 0 | 2021-01-31T14:50:10Z | 2021-01-31T14:50:10Z | NONE | This may be solved or a feature already, but I couldn't figure it out, is it possible to extract and store also full text from the saved pages? The same way that Pocket parses the text, it'd be amazing to be able to store (and thus make searchable later) the text. Thank you very much for the project, it's such an amazing idea! |
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750141615 | MDExOlB1bGxSZXF1ZXN0NTI2ODQ3ODIz | 7 | Fixed conflicting CLI flags | tlockney 8944 | closed | 0 | 1 | 2020-11-24T23:25:12Z | 2022-08-21T21:11:56Z | 2022-08-21T21:11:56Z | CONTRIBUTOR | dogsheep/pocket-to-sqlite/pulls/7 | The |
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689848827 | MDU6SXNzdWU2ODk4NDg4Mjc= | 6 | ISO timestamps | simonw 9599 | open | 0 | 0 | 2020-09-01T06:16:42Z | 2020-09-01T06:16:42Z | MEMBER | The
Should use ISO instead, e.g. |
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629473827 | MDU6SXNzdWU2Mjk0NzM4Mjc= | 5 | Set up a demo | harryvederci 26745575 | open | 0 | 1 | 2020-06-02T19:56:49Z | 2020-09-01T06:18:43Z | NONE | First off, thanks for open sourcing this application! This is a suggestion to increase the amount of people that would make use of it: an example in the readme file would help. Currently, users have to clone the app, install it, authorize through pocket, run a command, an then find out if this application does what they hope it does. Another possibility is to add a file Keep up the good work! |
pocket-to-sqlite 213286752 | issue | { "url": "https://api.github.com/repos/dogsheep/pocket-to-sqlite/issues/5/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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589402939 | MDU6SXNzdWU1ODk0MDI5Mzk= | 4 | Store authentication information as "pocket_access_token" etc | simonw 9599 | closed | 0 | 0 | 2020-03-27T20:43:22Z | 2020-03-27T20:43:59Z | 2020-03-27T20:43:59Z | MEMBER | The |
pocket-to-sqlite 213286752 | issue | { "url": "https://api.github.com/repos/dogsheep/pocket-to-sqlite/issues/4/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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503243784 | MDU6SXNzdWU1MDMyNDM3ODQ= | 3 | Extract images into separate tables | simonw 9599 | open | 0 | 1 | 2019-10-07T05:43:01Z | 2020-09-01T06:17:45Z | MEMBER | As already done with authors. Slightly harder because images do not have a universally unique ID. Also need to figure out what to do about there being columns for both |
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503234169 | MDU6SXNzdWU1MDMyMzQxNjk= | 2 | Track and use the 'since' value | simonw 9599 | closed | 0 | 3 | 2019-10-07T05:02:59Z | 2020-03-27T22:22:30Z | 2020-03-27T22:22:30Z | MEMBER | Pocket says:
At the bottom of https://getpocket.com/developer/docs/v3/retrieve |
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503233021 | MDU6SXNzdWU1MDMyMzMwMjE= | 1 | Use better pagination (and implement progress bar) | simonw 9599 | closed | 0 | 4 | 2019-10-07T04:58:11Z | 2020-03-27T22:13:57Z | 2020-03-27T22:13:57Z | MEMBER | Right now we attempt to load everything at once - which caps out at 5,000 items and is really slow. We can do better by implementing pagination using count and offset. |
pocket-to-sqlite 213286752 | issue | { "url": "https://api.github.com/repos/dogsheep/pocket-to-sqlite/issues/1/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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664793260 | MDU6SXNzdWU2NjQ3OTMyNjA= | 2 | Yak shave | ekg 145425 | open | 0 | 0 | 2020-07-23T22:04:18Z | 2020-07-23T22:04:18Z | NONE | Just a quick note... The 23andme data is not exactly your genome, but a SNP chip of your genome. It's "some of your genotypes." Or about 0.1% of your genome. Nice work in any case! It deserves to be liberated!!!!! |
genome-to-sqlite 209590345 | issue | { "url": "https://api.github.com/repos/dogsheep/genome-to-sqlite/issues/2/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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496415321 | MDU6SXNzdWU0OTY0MTUzMjE= | 1 | Figure out some interesting example SQL queries | simonw 9599 | open | 0 | 9 | 2019-09-20T15:28:07Z | 2021-05-03T03:46:23Z | MEMBER | My knowledge of genetics has left me short here. I'd love to be able to provide some interesting example SELECT queries - maybe one that spots if you are likely to have red hair? |
genome-to-sqlite 209590345 | issue | { "url": "https://api.github.com/repos/dogsheep/genome-to-sqlite/issues/1/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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1570375808 | I_kwDODFdgUs5dmgiA | 79 | Deploy demo job is failing due to rate limit | simonw 9599 | open | 0 | 2 | 2023-02-03T20:05:01Z | 2023-12-08T14:50:15Z | MEMBER | github-to-sqlite 207052882 | issue | { "url": "https://api.github.com/repos/dogsheep/github-to-sqlite/issues/79/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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1505411725 | I_kwDODFdgUs5ZusKN | 78 | self-hosted or corp github enterprise | ebdavison 549431 | open | 0 | 0 | 2022-12-20T22:51:45Z | 2022-12-20T22:51:45Z | NONE | We use github enterprise at work and I would like to use this tool to pull info from that site rather than the public github.com instance. Is there an option for this? If not, can one be added for a custom repo URL? |
github-to-sqlite 207052882 | issue | { "url": "https://api.github.com/repos/dogsheep/github-to-sqlite/issues/78/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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