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2 rows where author_association = "MEMBER", "created_at" is on date 2019-10-17 and issue = 488833975 sorted by updated_at descending

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  • Command for running a search and saving tweets for that search · 2 ✖

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  • MEMBER · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
543290744 https://github.com/dogsheep/twitter-to-sqlite/issues/3#issuecomment-543290744 https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/3 MDEyOklzc3VlQ29tbWVudDU0MzI5MDc0NA== simonw 9599 2019-10-17T17:57:14Z 2019-10-17T17:57:14Z MEMBER

I have a working command now. I'm going to ship it early because it could do with some other people trying it out.

 
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 Command for running a search and saving tweets for that search 488833975  
543273540 https://github.com/dogsheep/twitter-to-sqlite/issues/3#issuecomment-543273540 https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/3 MDEyOklzc3VlQ29tbWVudDU0MzI3MzU0MA== simonw 9599 2019-10-17T17:12:51Z 2019-10-17T17:12:51Z MEMBER

Just importing tweets here isn't enough - how are we supposed to know which tweets were imported by which search?

So I think the right thing to do here is to also create a search_runs table, which records each individual run of this tool (with a timestamp and the search terms used). Then have a search_runs_tweets m2m table which shows which Tweets were found by that search.

 
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 Command for running a search and saving tweets for that search 488833975  

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   [html_url] TEXT,
   [issue_url] TEXT,
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [created_at] TEXT,
   [updated_at] TEXT,
   [author_association] TEXT,
   [body] TEXT,
   [reactions] TEXT,
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, [performed_via_github_app] TEXT);
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