html_url,issue_url,id,node_id,user,user_label,created_at,updated_at,author_association,body,reactions,issue,issue_label,performed_via_github_app
https://github.com/dogsheep/twitter-to-sqlite/issues/3#issuecomment-549228535,https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/3,549228535,MDEyOklzc3VlQ29tbWVudDU0OTIyODUzNQ==,9599,simonw,2019-11-04T05:31:55Z,2019-11-04T05:31:55Z,MEMBER,Documented here: https://github.com/dogsheep/twitter-to-sqlite/blob/801c0c2daf17d8abce9dcb5d8d610410e7e25dbe/README.md#running-searches,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",488833975,Command for running a search and saving tweets for that search,
https://github.com/dogsheep/twitter-to-sqlite/issues/3#issuecomment-549226399,https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/3,549226399,MDEyOklzc3VlQ29tbWVudDU0OTIyNjM5OQ==,9599,simonw,2019-11-04T05:11:57Z,2019-11-04T05:11:57Z,MEMBER,I'm going to add a `hash` column to `search_runs` to support that. It's going to be the sha1 hash of the key-ordered JSON of the search arguments used by that run. Then `--since` can look for an identical hash and use it to identify the highest last fetched tweet to use in `since_id`.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",488833975,Command for running a search and saving tweets for that search,
https://github.com/dogsheep/twitter-to-sqlite/issues/3#issuecomment-549096321,https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/3,549096321,MDEyOklzc3VlQ29tbWVudDU0OTA5NjMyMQ==,9599,simonw,2019-11-03T01:27:55Z,2019-11-03T01:28:17Z,MEMBER,"It would be neat if this could support `--since`, with that argument automatically finding the maximum tweet ID from a previous search that used the same exact arguments (using the `search_runs` table).","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",488833975,Command for running a search and saving tweets for that search,
https://github.com/dogsheep/twitter-to-sqlite/issues/3#issuecomment-543290744,https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/3,543290744,MDEyOklzc3VlQ29tbWVudDU0MzI5MDc0NA==,9599,simonw,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.,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",488833975,Command for running a search and saving tweets for that search,
https://github.com/dogsheep/twitter-to-sqlite/issues/3#issuecomment-543273540,https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/3,543273540,MDEyOklzc3VlQ29tbWVudDU0MzI3MzU0MA==,9599,simonw,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.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",488833975,Command for running a search and saving tweets for that search,
https://github.com/dogsheep/twitter-to-sqlite/issues/3#issuecomment-541493242,https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/3,541493242,MDEyOklzc3VlQ29tbWVudDU0MTQ5MzI0Mg==,9599,simonw,2019-10-14T03:35:36Z,2019-10-14T03:35:36Z,MEMBER,"https://developer.twitter.com/en/docs/tweets/search/api-reference/get-search-tweets
","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",488833975,Command for running a search and saving tweets for that search,