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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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541493242 | https://github.com/dogsheep/twitter-to-sqlite/issues/3#issuecomment-541493242 | https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/3 | MDEyOklzc3VlQ29tbWVudDU0MTQ5MzI0Mg== | simonw 9599 | 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} | 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. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Command for running a search and saving tweets for that search 488833975 | |
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. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Command for running a search and saving tweets for that search 488833975 | |
549096321 | https://github.com/dogsheep/twitter-to-sqlite/issues/3#issuecomment-549096321 | https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/3 | MDEyOklzc3VlQ29tbWVudDU0OTA5NjMyMQ== | simonw 9599 | 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} | Command for running a search and saving tweets for that search 488833975 | |
549226399 | https://github.com/dogsheep/twitter-to-sqlite/issues/3#issuecomment-549226399 | https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/3 | MDEyOklzc3VlQ29tbWVudDU0OTIyNjM5OQ== | simonw 9599 | 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} | Command for running a search and saving tweets for that search 488833975 | |
549228535 | https://github.com/dogsheep/twitter-to-sqlite/issues/3#issuecomment-549228535 | https://api.github.com/repos/dogsheep/twitter-to-sqlite/issues/3 | MDEyOklzc3VlQ29tbWVudDU0OTIyODUzNQ== | simonw 9599 | 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} | Command for running a search and saving tweets for that search 488833975 |
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