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1 row where issue_url = "https://api.github.com/repos/simonw/datasette/issues/1375" and "updated_at" is on date 2021-06-14

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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
860548546 https://github.com/simonw/datasette/issues/1375#issuecomment-860548546 https://api.github.com/repos/simonw/datasette/issues/1375 MDEyOklzc3VlQ29tbWVudDg2MDU0ODU0Ng== frafra 4068 2021-06-14T09:41:59Z 2021-06-14T09:41:59Z NONE > There is a feature for this at the moment, but it's a little bit hidden: you can use `?_json=col` to tell > Datasette that you would like a specific column to be exported as nested JSON: https://docs.datasette.io/en/stable/json_api.html#special-json-arguments Thanks :) > I considered trying to make this automatic - so it detects columns that appear to contain valid JSON and outputs them as nested objects - but the problem with that is that it can lead to inconsistent results - you might hit the API and find that not every column contains valid JSON (compared to the previous day) resulting in the API retuning string instead of the expected dictionary and breaking your code. If a developer is not sure if the JSON fields are valid, but then retrieves and parse them, it should handle errors too. Handling inconsistent data is necessary due to the nature of SQLite. A global or dataset option to render the data as they have been defined (JSON, boolean, etc.) when requesting JSON could allow the user to download a regular JSON from the browser without having to rely on APIs. I would guess someone could just make a custom template with an extra JSON-parsed download button otherwise :) {"total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} JSON export dumps JSON fields as TEXT 919508498  

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