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id | html_url | issue_url ▼ | node_id | user | created_at | updated_at | author_association | body | reactions | issue | performed_via_github_app |
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623723687 | https://github.com/dogsheep/dogsheep-photos/issues/15#issuecomment-623723687 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/15 | MDEyOklzc3VlQ29tbWVudDYyMzcyMzY4Nw== | simonw 9599 | 2020-05-04T21:43:06Z | 2020-05-04T21:43:06Z | MEMBER | It looks like I can map the photos I'm importing to these tables using the |
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Expose scores from ZCOMPUTEDASSETATTRIBUTES 612151767 | |
623730934 | https://github.com/dogsheep/dogsheep-photos/issues/15#issuecomment-623730934 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/15 | MDEyOklzc3VlQ29tbWVudDYyMzczMDkzNA== | simonw 9599 | 2020-05-04T22:00:38Z | 2020-05-04T22:00:48Z | MEMBER | Here's the query to create the new table:
|
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Expose scores from ZCOMPUTEDASSETATTRIBUTES 612151767 | |
623739934 | https://github.com/dogsheep/dogsheep-photos/issues/15#issuecomment-623739934 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/15 | MDEyOklzc3VlQ29tbWVudDYyMzczOTkzNA== | simonw 9599 | 2020-05-04T22:24:26Z | 2020-05-04T22:24:26Z | MEMBER | Twitter thread with some examples of photos that are coming up from queries against these scores: https://twitter.com/simonw/status/1257434670750408705 |
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Expose scores from ZCOMPUTEDASSETATTRIBUTES 612151767 | |
623805823 | https://github.com/dogsheep/dogsheep-photos/issues/16#issuecomment-623805823 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/16 | MDEyOklzc3VlQ29tbWVudDYyMzgwNTgyMw== | simonw 9599 | 2020-05-05T02:45:56Z | 2020-05-05T02:45:56Z | MEMBER | I filed an issue with |
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Import machine-learning detected labels (dog, llama etc) from Apple Photos 612287234 | |
623806085 | https://github.com/dogsheep/dogsheep-photos/issues/16#issuecomment-623806085 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/16 | MDEyOklzc3VlQ29tbWVudDYyMzgwNjA4NQ== | simonw 9599 | 2020-05-05T02:47:18Z | 2020-05-05T02:47:18Z | MEMBER | In https://github.com/RhetTbull/osxphotos/issues/121#issuecomment-623249263 Rhet Turnbull spotted a table called |
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Import machine-learning detected labels (dog, llama etc) from Apple Photos 612287234 | |
623806533 | https://github.com/dogsheep/dogsheep-photos/issues/16#issuecomment-623806533 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/16 | MDEyOklzc3VlQ29tbWVudDYyMzgwNjUzMw== | simonw 9599 | 2020-05-05T02:50:16Z | 2020-05-05T02:50:16Z | MEMBER | I figured there must be a separate database that Photos uses to store the text of the identified labels. I used "Open Files and Ports" in Activity Monitor against the Photos app to try and spot candidates... and found Here's the schema of that file:
|
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Import machine-learning detected labels (dog, llama etc) from Apple Photos 612287234 | |
623806687 | https://github.com/dogsheep/dogsheep-photos/issues/16#issuecomment-623806687 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/16 | MDEyOklzc3VlQ29tbWVudDYyMzgwNjY4Nw== | simonw 9599 | 2020-05-05T02:51:16Z | 2020-05-05T02:51:16Z | MEMBER | Running datasette against it directly doesn't work: ``` simon@Simons-MacBook-Pro search % datasette psi.sqlite Serve! files=('psi.sqlite',) (immutables=()) on port 8001 Usage: datasette serve [OPTIONS] [FILES]... Error: Connection to psi.sqlite failed check: no such tokenizer: PSITokenizer
|
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Import machine-learning detected labels (dog, llama etc) from Apple Photos 612287234 | |
623807568 | https://github.com/dogsheep/dogsheep-photos/issues/16#issuecomment-623807568 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/16 | MDEyOklzc3VlQ29tbWVudDYyMzgwNzU2OA== | simonw 9599 | 2020-05-05T02:56:06Z | 2020-05-05T02:56:06Z | MEMBER | I'm pretty sure this is what I'm after. The Then there's a And an One major challenge: these UUIDs are split into two integer numbers, I need to figure out how to match up these two different UUID representations. I asked on Twitter if anyone has any ideas: https://twitter.com/simonw/status/1257500689019703296 |
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Import machine-learning detected labels (dog, llama etc) from Apple Photos 612287234 | |
623811131 | https://github.com/dogsheep/dogsheep-photos/issues/16#issuecomment-623811131 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/16 | MDEyOklzc3VlQ29tbWVudDYyMzgxMTEzMQ== | simonw 9599 | 2020-05-05T03:16:18Z | 2020-05-05T03:16:18Z | MEMBER | Here's how to convert two integers unto a UUID using Java. Not sure if it's the solution I need though (or how to do the same thing in Python): https://repl.it/repls/EuphoricSomberClasslibrary ```java import java.util.UUID; class Main { public static void main(String[] args) { java.util.UUID uuid = new java.util.UUID( 2544182952487526660L, -3640314103732024685L ); System.out.println( uuid ); } } ``` |
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Import machine-learning detected labels (dog, llama etc) from Apple Photos 612287234 | |
623846880 | https://github.com/dogsheep/dogsheep-photos/issues/16#issuecomment-623846880 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/16 | MDEyOklzc3VlQ29tbWVudDYyMzg0Njg4MA== | simonw 9599 | 2020-05-05T04:06:08Z | 2020-05-05T04:06:08Z | MEMBER | This function seems to convert them into UUIDs that match my photos:
|
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Import machine-learning detected labels (dog, llama etc) from Apple Photos 612287234 | |
623855841 | https://github.com/dogsheep/dogsheep-photos/issues/16#issuecomment-623855841 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/16 | MDEyOklzc3VlQ29tbWVudDYyMzg1NTg0MQ== | simonw 9599 | 2020-05-05T04:54:28Z | 2020-05-05T04:54:28Z | MEMBER | Things were not matching up for me correctly: I think that's because my import script didn't correctly import the existing |
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Import machine-learning detected labels (dog, llama etc) from Apple Photos 612287234 | |
623855885 | https://github.com/dogsheep/dogsheep-photos/issues/16#issuecomment-623855885 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/16 | MDEyOklzc3VlQ29tbWVudDYyMzg1NTg4NQ== | simonw 9599 | 2020-05-05T04:54:39Z | 2020-05-05T04:54:53Z | MEMBER | Trying this import mechanism instead:
|
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Import machine-learning detected labels (dog, llama etc) from Apple Photos 612287234 | |
623857417 | https://github.com/dogsheep/dogsheep-photos/issues/16#issuecomment-623857417 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/16 | MDEyOklzc3VlQ29tbWVudDYyMzg1NzQxNw== | simonw 9599 | 2020-05-05T05:01:47Z | 2020-05-05T05:01:47Z | MEMBER | Even that didn't work - it didn't copy across the rowid values. I'm pretty sure that's what's wrong here:
|
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Import machine-learning detected labels (dog, llama etc) from Apple Photos 612287234 | |
623863902 | https://github.com/dogsheep/dogsheep-photos/issues/16#issuecomment-623863902 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/16 | MDEyOklzc3VlQ29tbWVudDYyMzg2MzkwMg== | simonw 9599 | 2020-05-05T05:31:53Z | 2020-05-05T05:31:53Z | MEMBER | Yes! Turning those conn = sqlite3.connect( "/Users/simon/Pictures/Photos Library.photoslibrary/database/search/psi.sqlite" ) def all_rows(table): result = conn.execute("select rowid as id, * from {}".format(table)) cols = [c[0] for c in result.description] for row in result.fetchall(): yield dict(zip(cols, row)) if name == "main":
db = sqlite_utils.Database("psi_copy.db")
for table in ("assets", "collections", "ga", "gc", "groups"):
db[table].upsert_all(all_rows(table), pk="id", alter=True)
|
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Import machine-learning detected labels (dog, llama etc) from Apple Photos 612287234 | |
623865250 | https://github.com/dogsheep/dogsheep-photos/issues/16#issuecomment-623865250 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/16 | MDEyOklzc3VlQ29tbWVudDYyMzg2NTI1MA== | simonw 9599 | 2020-05-05T05:38:16Z | 2020-05-05T05:38:16Z | MEMBER | It looks like |
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Import machine-learning detected labels (dog, llama etc) from Apple Photos 612287234 | |
624278090 | https://github.com/dogsheep/dogsheep-photos/issues/17#issuecomment-624278090 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/17 | MDEyOklzc3VlQ29tbWVudDYyNDI3ODA5MA== | simonw 9599 | 2020-05-05T20:06:01Z | 2020-05-05T20:06:01Z | MEMBER | https://www.python.org/dev/peps/pep-0508/#environment-markers I think I want |
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Only install osxphotos if running on macOS 612860531 | |
624278714 | https://github.com/dogsheep/dogsheep-photos/issues/17#issuecomment-624278714 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/17 | MDEyOklzc3VlQ29tbWVudDYyNDI3ODcxNA== | simonw 9599 | 2020-05-05T20:07:19Z | 2020-05-05T20:07:19Z | MEMBER | From https://hynek.me/articles/conditional-python-dependencies/ I think this will look like:
|
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Only install osxphotos if running on macOS 612860531 | |
624364557 | https://github.com/dogsheep/dogsheep-photos/issues/18#issuecomment-624364557 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/18 | MDEyOklzc3VlQ29tbWVudDYyNDM2NDU1Nw== | simonw 9599 | 2020-05-05T23:49:18Z | 2020-05-05T23:49:18Z | MEMBER | Label is |
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Switch CI solution to GitHub Actions with a macOS runner 612860758 | |
624406285 | https://github.com/dogsheep/dogsheep-photos/issues/19#issuecomment-624406285 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/19 | MDEyOklzc3VlQ29tbWVudDYyNDQwNjI4NQ== | simonw 9599 | 2020-05-06T02:10:03Z | 2020-05-06T02:10:03Z | MEMBER | Most annoying part of this is the difficulty of actually showing a photo. Maybe I need to run a local proxy that I can link to? A custom Datasette plugin perhaps? |
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apple-photos command should work even if upload has not run 613002220 | |
615931488 | https://github.com/dogsheep/dogsheep-photos/issues/2#issuecomment-615931488 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/2 | MDEyOklzc3VlQ29tbWVudDYxNTkzMTQ4OA== | simonw 9599 | 2020-04-18T19:24:02Z | 2020-04-18T19:24:02Z | MEMBER | I made a start on this last week with a https://github.com/simonw/heic-to-jpeg proxy. |
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Ability to convert HEIC images to JPEG 602533352 | |
624408220 | https://github.com/dogsheep/dogsheep-photos/issues/20#issuecomment-624408220 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/20 | MDEyOklzc3VlQ29tbWVudDYyNDQwODIyMA== | simonw 9599 | 2020-05-06T02:18:47Z | 2020-05-06T02:18:47Z | MEMBER | The I can write a custom Datasette plugin which takes the I'll prototype this is a one-off plugin first, then package it on PyPI for other people to install. |
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Ability to serve thumbnailed Apple Photo from its place on disk 613006393 | |
624408370 | https://github.com/dogsheep/dogsheep-photos/issues/20#issuecomment-624408370 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/20 | MDEyOklzc3VlQ29tbWVudDYyNDQwODM3MA== | simonw 9599 | 2020-05-06T02:19:27Z | 2020-05-06T02:19:27Z | MEMBER | The plugin can be generalized: it can be configured to know how to take the URL path, look it up in ANY table (via a custom SQL query) to get a path on disk and then serve that. |
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Ability to serve thumbnailed Apple Photo from its place on disk 613006393 | |
624408738 | https://github.com/dogsheep/dogsheep-photos/issues/20#issuecomment-624408738 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/20 | MDEyOklzc3VlQ29tbWVudDYyNDQwODczOA== | simonw 9599 | 2020-05-06T02:21:05Z | 2020-05-06T02:21:32Z | MEMBER | Here's rendering code from my hacked-together not-yet-released S3 image proxy: ```python from starlette.responses import Response from PIL import Image, ExifTags import pyheif for ORIENTATION_TAG in ExifTags.TAGS.keys(): if ExifTags.TAGS[ORIENTATION_TAG] == "Orientation": break ... # Load it into Pillow if ext == "heic": heic = pyheif.read_heif(image_response.content) image = Image.frombytes(mode=heic.mode, size=heic.size, data=heic.data) else: image = Image.open(io.BytesIO(image_response.content))
``` |
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Ability to serve thumbnailed Apple Photo from its place on disk 613006393 | |
625947133 | https://github.com/dogsheep/dogsheep-photos/issues/20#issuecomment-625947133 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/20 | MDEyOklzc3VlQ29tbWVudDYyNTk0NzEzMw== | simonw 9599 | 2020-05-08T18:13:06Z | 2020-05-08T18:13:06Z | MEMBER |
|
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Ability to serve thumbnailed Apple Photo from its place on disk 613006393 | |
633626741 | https://github.com/dogsheep/dogsheep-photos/issues/20#issuecomment-633626741 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/20 | MDEyOklzc3VlQ29tbWVudDYzMzYyNjc0MQ== | simonw 9599 | 2020-05-25T15:38:55Z | 2020-05-25T15:38:55Z | MEMBER | Sure, I should absolutely document this! |
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Ability to serve thumbnailed Apple Photo from its place on disk 613006393 | |
633629944 | https://github.com/dogsheep/dogsheep-photos/issues/20#issuecomment-633629944 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/20 | MDEyOklzc3VlQ29tbWVudDYzMzYyOTk0NA== | simonw 9599 | 2020-05-25T15:47:42Z | 2020-05-25T15:47:42Z | MEMBER | I'll add a proper section to the README, but for the moment here's how I do this. First, install Create a
I also made myself two custom pages, one showing recent images and one showing random images. To do this, install the
Recent photos
{% for photo in sql("select * from apple_photos order by date desc limit 100") %}
{% endfor %}
```
Random photos
{% for photo in sql("with foo as (select * from apple_photos order by date desc limit 5000) select * from foo order by random() limit 100") %}
{% endfor %}
``` Now run Visit http://127.0.0.1:8001/random-photos to see some random photos or http://127.0.0.1:8002/recent-photos for recent photos. This is using this mechanism: https://datasette.readthedocs.io/en/stable/custom_templates.html#custom-pages |
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Ability to serve thumbnailed Apple Photo from its place on disk 613006393 | |
633643921 | https://github.com/dogsheep/dogsheep-photos/issues/20#issuecomment-633643921 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/20 | MDEyOklzc3VlQ29tbWVudDYzMzY0MzkyMQ== | simonw 9599 | 2020-05-25T16:29:44Z | 2020-05-25T16:29:44Z | MEMBER | { "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Ability to serve thumbnailed Apple Photo from its place on disk 613006393 | ||
633644225 | https://github.com/dogsheep/dogsheep-photos/issues/20#issuecomment-633644225 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/20 | MDEyOklzc3VlQ29tbWVudDYzMzY0NDIyNQ== | simonw 9599 | 2020-05-25T16:30:44Z | 2020-05-25T16:30:44Z | MEMBER | I'll add docs on using |
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Ability to serve thumbnailed Apple Photo from its place on disk 613006393 | |
633704127 | https://github.com/dogsheep/dogsheep-photos/issues/20#issuecomment-633704127 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/20 | MDEyOklzc3VlQ29tbWVudDYzMzcwNDEyNw== | simonw 9599 | 2020-05-25T20:14:22Z | 2020-05-25T20:14:22Z | MEMBER | { "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Ability to serve thumbnailed Apple Photo from its place on disk 613006393 | ||
626388764 | https://github.com/dogsheep/dogsheep-photos/issues/21#issuecomment-626388764 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/21 | MDEyOklzc3VlQ29tbWVudDYyNjM4ODc2NA== | simonw 9599 | 2020-05-10T20:58:52Z | 2020-05-10T20:58:52Z | MEMBER | More from the debugger: ```
|
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bpylist.archiver.CircularReference: archive has a cycle with uid(13) 615474990 | |
626388837 | https://github.com/dogsheep/dogsheep-photos/issues/21#issuecomment-626388837 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/21 | MDEyOklzc3VlQ29tbWVudDYyNjM4ODgzNw== | simonw 9599 | 2020-05-10T20:59:32Z | 2020-05-10T20:59:32Z | MEMBER | So it appears it's possible for |
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bpylist.archiver.CircularReference: archive has a cycle with uid(13) 615474990 | |
626394989 | https://github.com/dogsheep/dogsheep-photos/issues/21#issuecomment-626394989 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/21 | MDEyOklzc3VlQ29tbWVudDYyNjM5NDk4OQ== | simonw 9599 | 2020-05-10T21:50:36Z | 2020-05-10T21:50:36Z | MEMBER | https://github.com/Marketcircle/bpylist/pull/2 looks relevant here. |
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bpylist.archiver.CircularReference: archive has a cycle with uid(13) 615474990 | |
626395103 | https://github.com/dogsheep/dogsheep-photos/issues/21#issuecomment-626395103 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/21 | MDEyOklzc3VlQ29tbWVudDYyNjM5NTEwMw== | simonw 9599 | 2020-05-10T21:51:36Z | 2020-05-10T21:51:36Z | MEMBER | @RhetTbull I tried that workaround and it turns out I'm getting this error on ALL of my photos now! It's weird: a few day ago this wasn't happening. Now it's happening to everything. I'm not sure what I might have changed. |
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bpylist.archiver.CircularReference: archive has a cycle with uid(13) 615474990 | |
626395209 | https://github.com/dogsheep/dogsheep-photos/issues/21#issuecomment-626395209 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/21 | MDEyOklzc3VlQ29tbWVudDYyNjM5NTIwOQ== | simonw 9599 | 2020-05-10T21:52:42Z | 2020-05-10T21:52:42Z | MEMBER | Aha! It looks like I accidentally installed the old bplist into the same environment:
|
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bpylist.archiver.CircularReference: archive has a cycle with uid(13) 615474990 | |
626395781 | https://github.com/dogsheep/dogsheep-photos/issues/21#issuecomment-626395781 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/21 | MDEyOklzc3VlQ29tbWVudDYyNjM5NTc4MQ== | simonw 9599 | 2020-05-10T21:57:09Z | 2020-05-10T21:57:09Z | MEMBER | Yes, I just recreated my virtual environment from scratch and the error went away. The problem occurred when I ran |
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bpylist.archiver.CircularReference: archive has a cycle with uid(13) 615474990 | |
626941278 | https://github.com/dogsheep/dogsheep-photos/issues/22#issuecomment-626941278 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/22 | MDEyOklzc3VlQ29tbWVudDYyNjk0MTI3OA== | simonw 9599 | 2020-05-11T20:25:58Z | 2020-05-11T20:25:58Z | MEMBER | Interesting - do you know if there's anything the I'm actually just going to extract a subset of the EXIF data at first - since the original photo files will always be available I don't feel the need to get everything out for the first step. My plan is to use EXIF to help support photo collections that aren't in Apple Photos - I'm going to build a database table keyed by the |
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Try out ExifReader 615626118 | |
631120771 | https://github.com/dogsheep/dogsheep-photos/issues/23#issuecomment-631120771 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/23 | MDEyOklzc3VlQ29tbWVudDYzMTEyMDc3MQ== | simonw 9599 | 2020-05-19T22:32:48Z | 2020-05-19T22:32:48Z | MEMBER | { "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
create-subset command for creating a publishable subset of a photos database 621280529 | ||
631255206 | https://github.com/dogsheep/dogsheep-photos/issues/24#issuecomment-631255206 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/24 | MDEyOklzc3VlQ29tbWVudDYzMTI1NTIwNg== | simonw 9599 | 2020-05-20T06:00:25Z | 2020-05-20T06:00:25Z | MEMBER | This needs documentation. |
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Configurable URL for images 621323348 | |
631127454 | https://github.com/dogsheep/dogsheep-photos/issues/25#issuecomment-631127454 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/25 | MDEyOklzc3VlQ29tbWVudDYzMTEyNzQ1NA== | simonw 9599 | 2020-05-19T22:48:00Z | 2020-05-21T15:58:32Z | MEMBER | I built #23 to help with this.
And publish with Vercel:
|
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Create a public demo 621332242 | |
631251707 | https://github.com/dogsheep/dogsheep-photos/issues/25#issuecomment-631251707 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/25 | MDEyOklzc3VlQ29tbWVudDYzMTI1MTcwNw== | simonw 9599 | 2020-05-20T05:49:27Z | 2020-05-21T15:58:42Z | MEMBER | Renaming this demo to |
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Create a public demo 621332242 | |
631253136 | https://github.com/dogsheep/dogsheep-photos/issues/25#issuecomment-631253136 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/25 | MDEyOklzc3VlQ29tbWVudDYzMTI1MzEzNg== | simonw 9599 | 2020-05-20T05:53:58Z | 2020-05-20T05:53:58Z | MEMBER | Updated deploy command:
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Create a public demo 621332242 | |
631253248 | https://github.com/dogsheep/dogsheep-photos/issues/25#issuecomment-631253248 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/25 | MDEyOklzc3VlQ29tbWVudDYzMTI1MzI0OA== | simonw 9599 | 2020-05-20T05:54:18Z | 2020-05-20T05:54:18Z | MEMBER | { "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Create a public demo 621332242 | ||
631253852 | https://github.com/dogsheep/dogsheep-photos/issues/25#issuecomment-631253852 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/25 | MDEyOklzc3VlQ29tbWVudDYzMTI1Mzg1Mg== | simonw 9599 | 2020-05-20T05:56:17Z | 2020-05-21T22:26:16Z | MEMBER | I have a !/bin/bashif [ -f public.db ]; then rm public.db fi pipenv run dogsheep-photos create-subset photos.db public.db \ "select sha256 from apple_photos where albums like '%Public%'" pipenv run sqlite-utils create-view public.db photos_on_a_map \ "select date, latitude, longitude, apple_photos.sha256, uploads.ext, json_object( 'title', 'Taken on ' || date, 'image', 'https://photos.simonwillison.net/i/' || uploads.sha256 || '.' || uploads.ext || '?w=400', 'link', 'https://photos.simonwillison.net/i/' || uploads.sha256 || '.' || uploads.ext || '?w=1200' ) as popup from apple_photos join uploads on apple_photos.sha256 = uploads.sha256 where latitude is not null order by date desc" \ --replace pipenv run datasette publish now public.db --project dogsheep-photos \ --about=dogsheep/dogsheep-photos \ --about_url="https://github.com/dogsheep/dogsheep-photos" \ --install=datasette-json-html \ --install=datasette-pretty-json \ --install=datasette-cluster-map>=0.10 \ --title "Dogsheep Photos demo" ``` |
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Create a public demo 621332242 | |
631226481 | https://github.com/dogsheep/dogsheep-photos/issues/26#issuecomment-631226481 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/26 | MDEyOklzc3VlQ29tbWVudDYzMTIyNjQ4MQ== | simonw 9599 | 2020-05-20T04:18:29Z | 2020-05-20T04:18:29Z | MEMBER | I just renamed the repository. |
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Rename project to dogsheep-photos 621444763 | |
631226572 | https://github.com/dogsheep/dogsheep-photos/issues/26#issuecomment-631226572 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/26 | MDEyOklzc3VlQ29tbWVudDYzMTIyNjU3Mg== | simonw 9599 | 2020-05-20T04:18:52Z | 2020-05-20T04:18:52Z | MEMBER | Need to reconfigure Circle CI. |
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Rename project to dogsheep-photos 621444763 | |
631226953 | https://github.com/dogsheep/dogsheep-photos/issues/26#issuecomment-631226953 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/26 | MDEyOklzc3VlQ29tbWVudDYzMTIyNjk1Mw== | simonw 9599 | 2020-05-20T04:20:34Z | 2020-05-20T04:20:34Z | MEMBER | Huh, it looks like Circle CI picked up the name change automatically. https://app.circleci.com/pipelines/github/dogsheep/dogsheep-photos |
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Rename project to dogsheep-photos 621444763 | |
631227020 | https://github.com/dogsheep/dogsheep-photos/issues/26#issuecomment-631227020 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/26 | MDEyOklzc3VlQ29tbWVudDYzMTIyNzAyMA== | simonw 9599 | 2020-05-20T04:20:48Z | 2020-05-20T04:21:16Z | MEMBER | Next time I push a release it will create |
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Rename project to dogsheep-photos 621444763 | |
631227105 | https://github.com/dogsheep/dogsheep-photos/issues/26#issuecomment-631227105 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/26 | MDEyOklzc3VlQ29tbWVudDYzMTIyNzEwNQ== | simonw 9599 | 2020-05-20T04:21:06Z | 2020-05-20T04:21:06Z | MEMBER | Then I just need to push a final photos-to-sqlite release that updates the README to tell people about the name change. |
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Rename project to dogsheep-photos 621444763 | |
631227245 | https://github.com/dogsheep/dogsheep-photos/issues/26#issuecomment-631227245 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/26 | MDEyOklzc3VlQ29tbWVudDYzMTIyNzI0NQ== | simonw 9599 | 2020-05-20T04:21:38Z | 2020-05-20T04:21:38Z | MEMBER | I'm going to release 0.4 now. |
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Rename project to dogsheep-photos 621444763 | |
631229409 | https://github.com/dogsheep/dogsheep-photos/issues/26#issuecomment-631229409 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/26 | MDEyOklzc3VlQ29tbWVudDYzMTIyOTQwOQ== | simonw 9599 | 2020-05-20T04:30:40Z | 2020-05-20T04:30:40Z | MEMBER | https://pypi.org/project/photos-to-sqlite/ now links to dogsheep-photos. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Rename project to dogsheep-photos 621444763 | |
631229485 | https://github.com/dogsheep/dogsheep-photos/issues/26#issuecomment-631229485 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/26 | MDEyOklzc3VlQ29tbWVudDYzMTIyOTQ4NQ== | simonw 9599 | 2020-05-20T04:31:02Z | 2020-05-20T04:31:02Z | MEMBER | { "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Rename project to dogsheep-photos 621444763 | ||
739058820 | https://github.com/dogsheep/dogsheep-photos/pull/29#issuecomment-739058820 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/29 | MDEyOklzc3VlQ29tbWVudDczOTA1ODgyMA== | simonw 9599 | 2020-12-04T22:32:35Z | 2020-12-04T22:32:35Z | MEMBER | Thanks for this! |
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Fixed bug in SQL query for photo scores 638375985 | |
615932007 | https://github.com/dogsheep/dogsheep-photos/issues/4#issuecomment-615932007 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/4 | MDEyOklzc3VlQ29tbWVudDYxNTkzMjAwNw== | simonw 9599 | 2020-04-18T19:27:55Z | 2020-04-18T19:27:55Z | MEMBER | Research thread: https://twitter.com/simonw/status/1249049694984011776
https://testdriven.io/blog/storing-django-static-and-media-files-on-amazon-s3/ looks useful |
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Upload all my photos to a secure S3 bucket 602533539 | |
615932204 | https://github.com/dogsheep/dogsheep-photos/issues/4#issuecomment-615932204 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/4 | MDEyOklzc3VlQ29tbWVudDYxNTkzMjIwNA== | simonw 9599 | 2020-04-18T19:29:22Z | 2020-04-18T19:34:44Z | MEMBER | I'm going to call my bucket |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Upload all my photos to a secure S3 bucket 602533539 | |
615933273 | https://github.com/dogsheep/dogsheep-photos/issues/4#issuecomment-615933273 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/4 | MDEyOklzc3VlQ29tbWVudDYxNTkzMzI3Mw== | simonw 9599 | 2020-04-18T19:37:33Z | 2020-04-18T19:37:33Z | MEMBER | https://console.aws.amazon.com/s3/bucket/create?region=us-west-1 I created it with no public read-write access. I plan to use signed URLs via a transforming proxy to access images for display on the web. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Upload all my photos to a secure S3 bucket 602533539 | |
615935577 | https://github.com/dogsheep/dogsheep-photos/issues/4#issuecomment-615935577 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/4 | MDEyOklzc3VlQ29tbWVudDYxNTkzNTU3Nw== | simonw 9599 | 2020-04-18T19:54:59Z | 2020-04-18T19:55:30Z | MEMBER | Creating IAM groups called Now I can attach an "inline policy" to each one. For the read-write group I go here: https://console.aws.amazon.com/iam/home#/groups/dogsheep-photos-simon-read-write Example policies are here: https://docs.aws.amazon.com/AmazonS3/latest/dev/example-bucket-policies.html For the read-write one I went with:
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Upload all my photos to a secure S3 bucket 602533539 | |
615936880 | https://github.com/dogsheep/dogsheep-photos/issues/4#issuecomment-615936880 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/4 | MDEyOklzc3VlQ29tbWVudDYxNTkzNjg4MA== | simonw 9599 | 2020-04-18T20:04:31Z | 2020-04-18T20:04:31Z | MEMBER | Next step: create two IAM users, one for each of those groups. https://console.aws.amazon.com/iam/home#/users$new?step=details I copied the keys into a secure note in 1password. Couldn't get into Transmit with them though! https://library.panic.com/transmit/transmit5/iam-roles/ may help. |
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Upload all my photos to a secure S3 bucket 602533539 | |
615941746 | https://github.com/dogsheep/dogsheep-photos/issues/4#issuecomment-615941746 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/4 | MDEyOklzc3VlQ29tbWVudDYxNTk0MTc0Ng== | simonw 9599 | 2020-04-18T20:29:36Z | 2020-04-18T20:29:36Z | MEMBER | I'm going to create another user just for Transmit, with full S3 access. name: Rather than creating a group for that user, I'm trying the "Attach existing policies directly" option: That user DID work with Transmit. I uploaded a test HEIC image. I used Transmit to copy a signed URL for it.
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Upload all my photos to a secure S3 bucket 602533539 | |
615942116 | https://github.com/dogsheep/dogsheep-photos/issues/4#issuecomment-615942116 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/4 | MDEyOklzc3VlQ29tbWVudDYxNTk0MjExNg== | simonw 9599 | 2020-04-18T20:30:56Z | 2020-04-18T20:30:56Z | MEMBER | Next step: attempt a programmatic upload using the Also attempt a programmatic bucket listing and read using |
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Upload all my photos to a secure S3 bucket 602533539 | |
615944806 | https://github.com/dogsheep/dogsheep-photos/issues/4#issuecomment-615944806 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/4 | MDEyOklzc3VlQ29tbWVudDYxNTk0NDgwNg== | simonw 9599 | 2020-04-18T20:41:39Z | 2020-04-18T20:41:39Z | MEMBER | This worked! And this worked: |
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Upload all my photos to a secure S3 bucket 602533539 | |
615945056 | https://github.com/dogsheep/dogsheep-photos/issues/4#issuecomment-615945056 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/4 | MDEyOklzc3VlQ29tbWVudDYxNTk0NTA1Ng== | simonw 9599 | 2020-04-18T20:42:41Z | 2020-04-18T20:42:41Z | MEMBER | But... |
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Upload all my photos to a secure S3 bucket 602533539 | |
615946537 | https://github.com/dogsheep/dogsheep-photos/issues/4#issuecomment-615946537 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/4 | MDEyOklzc3VlQ29tbWVudDYxNTk0NjUzNw== | simonw 9599 | 2020-04-18T20:48:13Z | 2020-04-18T20:48:13Z | MEMBER | How about generating a signed URL?
Which does this: ``` ~ $ curl -i 'https://dogsheep-photos-simon.s3.amazonaws.com/this_is_fine.jpg?AWSAccessKeyId=AKIAWXFXAIOZNZ3JFO7I&Signature=x1zrS4w4OTGAACd7yHp9mYqXvN8%3D&Expires=1587243398' HTTP/1.1 307 Temporary Redirect x-amz-bucket-region: us-west-1 x-amz-request-id: E78CD859AEE21D33 x-amz-id-2: 648mx+1+YSGga7NDOU7Q6isfsKnEPWOLC+DI4+x2o9FCc6pSCdIaoHJUbFMI8Vsuh1ADtx46ymU= Location: https://dogsheep-photos-simon.s3-us-west-1.amazonaws.com/this_is_fine.jpg?AWSAccessKeyId=AKIAWXFXAIOZNZ3JFO7I&Signature=x1zrS4w4OTGAACd7yHp9mYqXvN8%3D&Expires=1587243398 Content-Type: application/xml Transfer-Encoding: chunked Date: Sat, 18 Apr 2020 20:47:21 GMT Server: AmazonS3 <Error> ????JFIF??C
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Upload all my photos to a secure S3 bucket 602533539 | |
615947229 | https://github.com/dogsheep/dogsheep-photos/issues/4#issuecomment-615947229 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/4 | MDEyOklzc3VlQ29tbWVudDYxNTk0NzIyOQ== | simonw 9599 | 2020-04-18T20:51:26Z | 2020-04-18T20:51:26Z | MEMBER | Running the upload again like this resulted in the correct content-type:
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Upload all my photos to a secure S3 bucket 602533539 | |
615947370 | https://github.com/dogsheep/dogsheep-photos/issues/4#issuecomment-615947370 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/4 | MDEyOklzc3VlQ29tbWVudDYxNTk0NzM3MA== | simonw 9599 | 2020-04-18T20:52:13Z | 2020-04-18T20:52:13Z | MEMBER | This is great! I now have a key that can upload photos, and a separate key that can download photos OR generate signed URLs to access those photos. Next step: a script that starts uploading my photos. |
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Upload all my photos to a secure S3 bucket 602533539 | |
615948102 | https://github.com/dogsheep/dogsheep-photos/issues/4#issuecomment-615948102 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/4 | MDEyOklzc3VlQ29tbWVudDYxNTk0ODEwMg== | simonw 9599 | 2020-04-18T20:56:59Z | 2020-04-18T20:56:59Z | MEMBER | I'm going to start with this:
This will scan the provided directory (and all sub-directories) for image files. It will then:
Stretch goal: grab the EXIF data and include that in the |
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Upload all my photos to a secure S3 bucket 602533539 | |
615957385 | https://github.com/dogsheep/dogsheep-photos/issues/4#issuecomment-615957385 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/4 | MDEyOklzc3VlQ29tbWVudDYxNTk1NzM4NQ== | simonw 9599 | 2020-04-18T21:56:16Z | 2020-04-18T21:58:11Z | MEMBER | Got this working! I'll do EXIF in a separate ticket #3. |
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Upload all my photos to a secure S3 bucket 602533539 | |
615949574 | https://github.com/dogsheep/dogsheep-photos/issues/5#issuecomment-615949574 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/5 | MDEyOklzc3VlQ29tbWVudDYxNTk0OTU3NA== | simonw 9599 | 2020-04-18T21:06:07Z | 2020-04-18T21:06:07Z | MEMBER | ``` $ photos-to-sqlite s3-auth Create S3 credentials and paste them here: Access key ID: xxx Secret access key: yyy $ cat auth.json { "access_key_id": "xxx", "secret_access_key": "yyy" } ``` |
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photos-to-sqlite s3-auth command 602551638 | |
615979923 | https://github.com/dogsheep/dogsheep-photos/issues/6#issuecomment-615979923 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/6 | MDEyOklzc3VlQ29tbWVudDYxNTk3OTkyMw== | simonw 9599 | 2020-04-18T23:36:02Z | 2020-04-18T23:36:02Z | MEMBER | I'll use a Click progress bar. To do this I need to first calculate the sum number of bytes in the photos that are going to be uploaded, then run the upload. |
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Add progress bar to upload command 602575575 | |
615983393 | https://github.com/dogsheep/dogsheep-photos/issues/6#issuecomment-615983393 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/6 | MDEyOklzc3VlQ29tbWVudDYxNTk4MzM5Mw== | simonw 9599 | 2020-04-18T23:53:10Z | 2020-04-18T23:53:10Z | MEMBER |
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Add progress bar to upload command 602575575 | |
615993178 | https://github.com/dogsheep/dogsheep-photos/issues/7#issuecomment-615993178 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/7 | MDEyOklzc3VlQ29tbWVudDYxNTk5MzE3OA== | simonw 9599 | 2020-04-19T00:37:08Z | 2020-04-19T00:37:08Z | MEMBER | https://pypi.org/project/ImageHash/ Is one option. |
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Integrate image content hashing 602585497 | |
618100434 | https://github.com/dogsheep/dogsheep-photos/issues/8#issuecomment-618100434 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/8 | MDEyOklzc3VlQ29tbWVudDYxODEwMDQzNA== | simonw 9599 | 2020-04-23T00:02:53Z | 2020-04-23T00:02:53Z | MEMBER | I don't think it matters one way or the other - I'm storing the sha256 in the filename, so the fact that I could read the MD5 back from the list bucket operation doesn't give me any benefits. |
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Should I have used MD5 instead of SHA256? 605147638 | |
618100658 | https://github.com/dogsheep/dogsheep-photos/issues/8#issuecomment-618100658 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/8 | MDEyOklzc3VlQ29tbWVudDYxODEwMDY1OA== | simonw 9599 | 2020-04-23T00:03:35Z | 2020-04-23T00:03:35Z | MEMBER | Also MD5 isn't guaranteed for the ETag:
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Should I have used MD5 instead of SHA256? 605147638 | |
618724149 | https://github.com/dogsheep/dogsheep-photos/issues/9#issuecomment-618724149 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/9 | MDEyOklzc3VlQ29tbWVudDYxODcyNDE0OQ== | simonw 9599 | 2020-04-23T23:35:29Z | 2020-04-23T23:35:29Z | MEMBER |
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upload command should be resumable, should only upload photos not already uploaded 605938063 | |
618725155 | https://github.com/dogsheep/dogsheep-photos/issues/9#issuecomment-618725155 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/9 | MDEyOklzc3VlQ29tbWVudDYxODcyNTE1NQ== | simonw 9599 | 2020-04-23T23:39:14Z | 2020-04-23T23:39:14Z | MEMBER | A few minutes later...
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upload command should be resumable, should only upload photos not already uploaded 605938063 | |
706775706 | https://github.com/dogsheep/evernote-to-sqlite/issues/1#issuecomment-706775706 | https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/1 | MDEyOklzc3VlQ29tbWVudDcwNjc3NTcwNg== | simonw 9599 | 2020-10-11T22:14:00Z | 2020-10-11T22:14:00Z | MEMBER | A live demo would be good too. |
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Documentation on how to use this with Datasette 718934942 | |
777839351 | https://github.com/dogsheep/evernote-to-sqlite/pull/10#issuecomment-777839351 | https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/10 | MDEyOklzc3VlQ29tbWVudDc3NzgzOTM1MQ== | simonw 9599 | 2021-02-11T22:37:55Z | 2021-02-11T22:37:55Z | MEMBER | I've merged these changes by hand now, thanks! |
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BugFix for encoding and not update info. 770712149 | |
777798330 | https://github.com/dogsheep/evernote-to-sqlite/issues/11#issuecomment-777798330 | https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/11 | MDEyOklzc3VlQ29tbWVudDc3Nzc5ODMzMA== | simonw 9599 | 2021-02-11T21:18:58Z | 2021-02-11T21:18:58Z | MEMBER | Thanks for the fix! |
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XML parse error 792851444 | |
905203570 | https://github.com/dogsheep/evernote-to-sqlite/issues/13#issuecomment-905203570 | https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/13 | IC_kwDOEhK-wc419E9y | simonw 9599 | 2021-08-25T05:51:22Z | 2021-08-25T05:53:27Z | MEMBER | The debugger showed me that it broke on a string that looked like this: ```xml <en-note>
Q3 2018 Reflection & Development... ``` Yeah that is not valid XML! |
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xml.etree.ElementTree.ParseError: not well-formed (invalid token) 978743426 | |
905206234 | https://github.com/dogsheep/evernote-to-sqlite/issues/13#issuecomment-905206234 | https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/13 | IC_kwDOEhK-wc419Fna | simonw 9599 | 2021-08-25T05:58:42Z | 2021-08-25T05:58:42Z | MEMBER | Not sure why I was round-tripping the |
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xml.etree.ElementTree.ParseError: not well-formed (invalid token) 978743426 | |
906635938 | https://github.com/dogsheep/evernote-to-sqlite/issues/13#issuecomment-906635938 | https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/13 | IC_kwDOEhK-wc42Ciqi | simonw 9599 | 2021-08-26T18:18:27Z | 2021-08-26T18:18:27Z | MEMBER | It looks like I was using the round-trip to dump the |
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xml.etree.ElementTree.ParseError: not well-formed (invalid token) 978743426 | |
906646452 | https://github.com/dogsheep/evernote-to-sqlite/issues/13#issuecomment-906646452 | https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/13 | IC_kwDOEhK-wc42ClO0 | simonw 9599 | 2021-08-26T18:34:34Z | 2021-08-26T18:35:20Z | MEMBER | I tried this ampersand fix: https://regex101.com/r/ojU2H9/1 ```python https://regex101.com/r/ojU2H9/1_invalid_ampersand_re = re.compile(r'&(?![a-z0-9]+;)') def fix_bad_xml(xml): # More fixes for things like '&' not as part of an entity return _invalid_ampersand_re.sub('&', xml) ``` Even with that I'm still getting total garbage in the |
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xml.etree.ElementTree.ParseError: not well-formed (invalid token) 978743426 | |
706784028 | https://github.com/dogsheep/evernote-to-sqlite/issues/4#issuecomment-706784028 | https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/4 | MDEyOklzc3VlQ29tbWVudDcwNjc4NDAyOA== | simonw 9599 | 2020-10-11T23:20:32Z | 2020-10-11T23:20:32Z | MEMBER | I haven't done the FTS on OCR yet. I'm going to move that to another ticket because it requires more thought. |
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Configure FTS + add an index on the date columns 718938508 | |
706786548 | https://github.com/dogsheep/evernote-to-sqlite/issues/4#issuecomment-706786548 | https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/4 | MDEyOklzc3VlQ29tbWVudDcwNjc4NjU0OA== | simonw 9599 | 2020-10-11T23:39:46Z | 2020-10-11T23:39:46Z | MEMBER | Should have used porter stemming for this. |
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Configure FTS + add an index on the date columns 718938508 | |
706776180 | https://github.com/dogsheep/evernote-to-sqlite/issues/5#issuecomment-706776180 | https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/5 | MDEyOklzc3VlQ29tbWVudDcwNjc3NjE4MA== | simonw 9599 | 2020-10-11T22:17:55Z | 2020-10-11T22:17:55Z | MEMBER | We could even do server-side thumbnailing for some of these images, but I'm inclined to serve up the full size ones and set a width on the image element based on the |
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Figure out how to display images from <en-media> tags inline in Datasette 718938889 | |
706776242 | https://github.com/dogsheep/evernote-to-sqlite/issues/5#issuecomment-706776242 | https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/5 | MDEyOklzc3VlQ29tbWVudDcwNjc3NjI0Mg== | simonw 9599 | 2020-10-11T22:18:30Z | 2020-10-11T22:19:48Z | MEMBER | Alternatively, rather than relying on Maybe rename the column to Might need to feed them through Bleach too, just in case any nasty code can get into them. |
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Figure out how to display images from <en-media> tags inline in Datasette 718938889 | |
706776447 | https://github.com/dogsheep/evernote-to-sqlite/issues/5#issuecomment-706776447 | https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/5 | MDEyOklzc3VlQ29tbWVudDcwNjc3NjQ0Nw== | simonw 9599 | 2020-10-11T22:20:32Z | 2020-10-11T22:20:32Z | MEMBER | Or... I could do this client-side. JavaScript that looks for |
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Figure out how to display images from <en-media> tags inline in Datasette 718938889 | |
706776680 | https://github.com/dogsheep/evernote-to-sqlite/issues/5#issuecomment-706776680 | https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/5 | MDEyOklzc3VlQ29tbWVudDcwNjc3NjY4MA== | simonw 9599 | 2020-10-11T22:22:16Z | 2020-10-11T22:22:16Z | MEMBER | Maybe the best way do this is with a custom route, |
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Figure out how to display images from <en-media> tags inline in Datasette 718938889 | |
706776808 | https://github.com/dogsheep/evernote-to-sqlite/issues/5#issuecomment-706776808 | https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/5 | MDEyOklzc3VlQ29tbWVudDcwNjc3NjgwOA== | simonw 9599 | 2020-10-11T22:23:14Z | 2020-10-11T22:23:14Z | MEMBER | ... but it's still important to be able to get to the rendered note directly from the browse notes |
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Figure out how to display images from <en-media> tags inline in Datasette 718938889 | |
706834800 | https://github.com/dogsheep/evernote-to-sqlite/issues/5#issuecomment-706834800 | https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/5 | MDEyOklzc3VlQ29tbWVudDcwNjgzNDgwMA== | simonw 9599 | 2020-10-12T03:24:57Z | 2020-10-16T20:16:28Z | MEMBER | Here's my first attempt at a plugin for this: ```python from datasette import hookimpl import jinja2 START = "<en-note" END = "</en-note>" TEMPLATE = """ {}
""".strip()
EN_MEDIA_SCRIPT = """
Array.from(document.querySelectorAll('en-media')).forEach(el => {
let hash = el.getAttribute('hash');
let type = el.getAttribute('type');
let path = @hookimpl def render_cell(value, table): if not table: # Don't render content from arbitrary SQL queries, could be XSS hole return if not value or not isinstance(value, str): return value = value.strip() if value.startswith(START) and value.endswith(END): trimmed = value[len(START) : -len(END)] trimmed = trimmed.split(">", 1)[1] # Replace those horrible double newlines trimmed = trimmed.replace(" ") return jinja2.Markup(TEMPLATE.format(trimmed)) @hookimpl def extra_body_script(): return EN_MEDIA_SCRIPT ``` It works! It does however demonstrate that Evernote's "clip this webpage" feature means there is a LOT of weird HTML that can get into a note. It looks like they've filtered out the scripts but I wouldn't bet on it - they certainly don't filter out many of the inline styles. So running Bleach is almost certainly a good idea. |
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Figure out how to display images from <en-media> tags inline in Datasette 718938889 | |
706785086 | https://github.com/dogsheep/evernote-to-sqlite/issues/6#issuecomment-706785086 | https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/6 | MDEyOklzc3VlQ29tbWVudDcwNjc4NTA4Ng== | simonw 9599 | 2020-10-11T23:28:50Z | 2020-10-11T23:28:50Z | MEMBER | The XML for the OCR stuff is a bit weird. Currently I'm doing this to it: This can produce some odd results, for example:
Which came from this image: The XML for that is:
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Better handling of OCR data 718949182 | |
706785201 | https://github.com/dogsheep/evernote-to-sqlite/issues/6#issuecomment-706785201 | https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/6 | MDEyOklzc3VlQ29tbWVudDcwNjc4NTIwMQ== | simonw 9599 | 2020-10-11T23:29:39Z | 2020-10-11T23:29:39Z | MEMBER | It looks to me like each of those |
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Better handling of OCR data 718949182 | |
777827396 | https://github.com/dogsheep/evernote-to-sqlite/issues/7#issuecomment-777827396 | https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/7 | MDEyOklzc3VlQ29tbWVudDc3NzgyNzM5Ng== | simonw 9599 | 2021-02-11T22:13:14Z | 2021-02-11T22:13:14Z | MEMBER | My best guess is that you have an older version of |
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evernote-to-sqlite on windows 10 give this error: TypeError: insert() got an unexpected keyword argument 'replace' 743297582 | |
777821383 | https://github.com/dogsheep/evernote-to-sqlite/issues/9#issuecomment-777821383 | https://api.github.com/repos/dogsheep/evernote-to-sqlite/issues/9 | MDEyOklzc3VlQ29tbWVudDc3NzgyMTM4Mw== | simonw 9599 | 2021-02-11T22:01:28Z | 2021-02-11T22:01:28Z | MEMBER | Aha! I think I've figured out what's going on here. The CData blocks containing the notes look like this:
The DTD at http://xml.evernote.com/pub/enml2.dtd includes some entities: ``` %HTMLlat1; %HTMLsymbol; %HTMLspecial;
```python {'Aacute': 'Á', 'aacute': 'á', 'Aacute;': 'Á', 'aacute;': 'á', 'Abreve;': 'Ă', 'abreve;': 'ă', 'ac;': '∾', 'acd;': '∿', ...} ``` |
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ParseError: undefined entity š 748372469 | |
544646516 | https://github.com/dogsheep/genome-to-sqlite/issues/1#issuecomment-544646516 | https://api.github.com/repos/dogsheep/genome-to-sqlite/issues/1 | MDEyOklzc3VlQ29tbWVudDU0NDY0NjUxNg== | simonw 9599 | 2019-10-21T18:30:14Z | 2019-10-21T18:30:14Z | MEMBER | Thanks to help from Dr. Laura Cantino at Science Hack Day San Francisco I've been able to pull together this query:
See also https://www.snpedia.com/index.php/Rs12913832 - in particular this table: |
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Figure out some interesting example SQL queries 496415321 | |
544648863 | https://github.com/dogsheep/genome-to-sqlite/issues/1#issuecomment-544648863 | https://api.github.com/repos/dogsheep/genome-to-sqlite/issues/1 | MDEyOklzc3VlQ29tbWVudDU0NDY0ODg2Mw== | simonw 9599 | 2019-10-21T18:36:03Z | 2019-10-21T18:36:03Z | MEMBER | { "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Figure out some interesting example SQL queries 496415321 | ||
549230337 | https://github.com/dogsheep/github-to-sqlite/issues/10#issuecomment-549230337 | https://api.github.com/repos/dogsheep/github-to-sqlite/issues/10 | MDEyOklzc3VlQ29tbWVudDU0OTIzMDMzNw== | simonw 9599 | 2019-11-04T05:47:18Z | 2019-11-04T05:47:18Z | MEMBER | This definition isn't quite right - it's not pulling the identity of the user who starred the repo ( |
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Add this repos_starred view 516967682 | |
622461122 | https://github.com/dogsheep/github-to-sqlite/issues/10#issuecomment-622461122 | https://api.github.com/repos/dogsheep/github-to-sqlite/issues/10 | MDEyOklzc3VlQ29tbWVudDYyMjQ2MTEyMg== | simonw 9599 | 2020-05-01T16:34:39Z | 2020-05-01T16:34:39Z | MEMBER | Blocked on #37 |
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Add this repos_starred view 516967682 | |
622980203 | https://github.com/dogsheep/github-to-sqlite/issues/10#issuecomment-622980203 | https://api.github.com/repos/dogsheep/github-to-sqlite/issues/10 | MDEyOklzc3VlQ29tbWVudDYyMjk4MDIwMw== | simonw 9599 | 2020-05-02T16:34:29Z | 2020-05-02T16:34:29Z | MEMBER | Fixed definition:
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Add this repos_starred view 516967682 | |
594151327 | https://github.com/dogsheep/github-to-sqlite/issues/12#issuecomment-594151327 | https://api.github.com/repos/dogsheep/github-to-sqlite/issues/12 | MDEyOklzc3VlQ29tbWVudDU5NDE1MTMyNw== | simonw 9599 | 2020-03-03T20:26:15Z | 2020-03-03T20:32:23Z | MEMBER | Better version (since this also includes JSON array of repository topics):
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Add this view for seeing new releases 520756546 | |
594155249 | https://github.com/dogsheep/github-to-sqlite/issues/12#issuecomment-594155249 | https://api.github.com/repos/dogsheep/github-to-sqlite/issues/12 | MDEyOklzc3VlQ29tbWVudDU5NDE1NTI0OQ== | simonw 9599 | 2020-03-03T20:35:17Z | 2020-03-03T20:35:17Z | MEMBER |
I think that approach can be approved by first checking if the view exists, then dropping it, then recreating it. Could even try to see if the view exists and matches what we were going to set it to and do nothing if that is the case. |
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Add this view for seeing new releases 520756546 |
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