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1 row where "created_at" is on date 2020-04-18, permissions = "{"admin": false, "maintain": false, "push": false, "triage": false, "pull": false}" and topics contains "datasette-tool"

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id ▼ node_id name full_name private owner html_url description fork created_at updated_at pushed_at homepage size stargazers_count watchers_count language has_issues has_projects has_downloads has_wiki has_pages forks_count archived disabled open_issues_count license topics forks open_issues watchers default_branch permissions temp_clone_token organization network_count subscribers_count readme readme_html allow_forking visibility is_template template_repository web_commit_signoff_required has_discussions
256834907 MDEwOlJlcG9zaXRvcnkyNTY4MzQ5MDc= dogsheep-photos dogsheep/dogsheep-photos 0 dogsheep 53015001 https://github.com/dogsheep/dogsheep-photos Upload your photos to S3 and import metadata about them into a SQLite database 0 2020-04-18T19:22:13Z 2021-11-04T20:45:03Z 2021-11-04T20:45:00Z   68 124 124 Python 1 1 1 1 0 7 0 0 19 Apache License 2.0 apache-2.0 ["datasette", "datasette-io", "datasette-tool", "dogsheep", "sqlite"] 7 19 124 master {"admin": false, "maintain": false, "push": false, "triage": false, "pull": false}   dogsheep 53015001 7 10 # dogsheep-photos [![PyPI](https://img.shields.io/pypi/v/dogsheep-photos.svg)](https://pypi.org/project/dogsheep-photos/) [![Changelog](https://img.shields.io/github/v/release/dogsheep/dogsheep-photos?include_prereleases&label=changelog)](https://github.com/dogsheep/dogsheep-photos/releases) [![CircleCI](https://circleci.com/gh/dogsheep/dogsheep-photos.svg?style=svg)](https://circleci.com/gh/dogsheep/dogsheep-photos) [![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/dogsheep/dogsheep-photos/blob/master/LICENSE) Save details of your photos to a SQLite database and upload them to S3. See [Using SQL to find my best photo of a pelican according to Apple Photos](https://simonwillison.net/2020/May/21/apple-photos-sqlite/) for background information on this project. ## What these tools do These tools are a work-in-progress mechanism for taking full ownership of your photos. The core idea is to help implement the following: * Every photo you have taken lives in a single, private Amazon S3 bucket * You have a single SQLite database file which stores metadata about those photos - potentially pulled from multiple different places. This may include EXIF data, Apple Photos, the results of running machine learning APIs against photos and much more besides. * You can then use [Datasette](https://github.com/simonw/datasette) to explore your own photos. I'm a heavy user of Apple Photos so the initial releases of this tool will have a bias towards that, but ideally I would like a subset of these tools to be useful to people no matter which core photo solution they are using. ## Installation $ pip install dogsheep-photos ## Authentication (if using S3) If you want to use S3 to store your photos, you will need to first create S3 credentials for a new, dedicated bucket. You may find the [s3-credentials tool](https://github.com/simonw/s3-credentials) useful for this. Run this command and paste in your credentials. You will need three values: the name of your S3 bucket, your Ac… <div id="readme" class="md" data-path="README.md"><article class="markdown-body entry-content container-lg" itemprop="text"><h1><a id="user-content-dogsheep-photos" class="anchor" aria-hidden="true" href="#user-content-dogsheep-photos"><svg class="octicon octicon-link" viewBox="0 0 16 16" version="1.1" width="16" height="16" aria-hidden="true"><path fill-rule="evenodd" d="M7.775 3.275a.75.75 0 001.06 1.06l1.25-1.25a2 2 0 112.83 2.83l-2.5 2.5a2 2 0 01-2.83 0 .75.75 0 00-1.06 1.06 3.5 3.5 0 004.95 0l2.5-2.5a3.5 3.5 0 00-4.95-4.95l-1.25 1.25zm-4.69 9.64a2 2 0 010-2.83l2.5-2.5a2 2 0 012.83 0 .75.75 0 001.06-1.06 3.5 3.5 0 00-4.95 0l-2.5 2.5a3.5 3.5 0 004.95 4.95l1.25-1.25a.75.75 0 00-1.06-1.06l-1.25 1.25a2 2 0 01-2.83 0z"></path></svg></a>dogsheep-photos</h1> <p><a href="https://pypi.org/project/dogsheep-photos/" rel="nofollow"><img src="https://camo.githubusercontent.com/c21d10e4250454707420755a0d4b90c97709771d795ffa55b495c98956a3938d/68747470733a2f2f696d672e736869656c64732e696f2f707970692f762f646f6773686565702d70686f746f732e737667" alt="PyPI" data-canonical-src="https://img.shields.io/pypi/v/dogsheep-photos.svg" style="max-width: 100%;"></a> <a href="https://github.com/dogsheep/dogsheep-photos/releases"><img src="https://camo.githubusercontent.com/c7bead2f1c989034f62914278a736eecdfbab79ce4d9b3ab804d1692e230d79d/68747470733a2f2f696d672e736869656c64732e696f2f6769746875622f762f72656c656173652f646f6773686565702f646f6773686565702d70686f746f733f696e636c7564655f70726572656c6561736573266c6162656c3d6368616e67656c6f67" alt="Changelog" data-canonical-src="https://img.shields.io/github/v/release/dogsheep/dogsheep-photos?include_prereleases&amp;label=changelog" style="max-width: 100%;"></a> <a href="https://circleci.com/gh/dogsheep/dogsheep-photos" rel="nofollow"><img src="https://camo.githubusercontent.com/3aefe86d4a3560c1ca080cf5b7e4dcc5788b239df8b7a3fed40e622b834c22e8/68747470733a2f2f636972636c6563692e636f6d2f67682f646f6773686565702f646f6773686565702d70686f746f732e7376673f7374796c653d737667" alt="CircleCI" data-canonical-src… 1 public 0      

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CREATE TABLE [repos] (
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [name] TEXT,
   [full_name] TEXT,
   [private] INTEGER,
   [owner] INTEGER REFERENCES [users]([id]),
   [html_url] TEXT,
   [description] TEXT,
   [fork] INTEGER,
   [created_at] TEXT,
   [updated_at] TEXT,
   [pushed_at] TEXT,
   [homepage] TEXT,
   [size] INTEGER,
   [stargazers_count] INTEGER,
   [watchers_count] INTEGER,
   [language] TEXT,
   [has_issues] INTEGER,
   [has_projects] INTEGER,
   [has_downloads] INTEGER,
   [has_wiki] INTEGER,
   [has_pages] INTEGER,
   [forks_count] INTEGER,
   [archived] INTEGER,
   [disabled] INTEGER,
   [open_issues_count] INTEGER,
   [license] TEXT,
   [topics] TEXT,
   [forks] INTEGER,
   [open_issues] INTEGER,
   [watchers] INTEGER,
   [default_branch] TEXT,
   [permissions] TEXT,
   [temp_clone_token] TEXT,
   [organization] INTEGER REFERENCES [users]([id]),
   [network_count] INTEGER,
   [subscribers_count] INTEGER, [readme] TEXT, [readme_html] TEXT, [allow_forking] INTEGER, [visibility] TEXT, [is_template] INTEGER, [template_repository] TEXT, [web_commit_signoff_required] INTEGER, [has_discussions] INTEGER,
   FOREIGN KEY([license]) REFERENCES [licenses]([key])
);
CREATE INDEX [idx_repos_license]
    ON [repos] ([license]);
CREATE INDEX [idx_repos_organization]
    ON [repos] ([organization]);
CREATE INDEX [idx_repos_owner]
    ON [repos] ([owner]);