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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
1461226402 https://github.com/dogsheep/apple-notes-to-sqlite/issues/1#issuecomment-1461226402 https://api.github.com/repos/dogsheep/apple-notes-to-sqlite/issues/1 IC_kwDOJHON9s5XGIui simonw 9599 2023-03-09T03:47:11Z 2023-03-09T03:47:11Z MEMBER Me: > Write applescript to loop through all of my Apple Notes and output their contents ChatGPT: ```applescript tell application "Notes" repeat with eachNote in every note set noteTitle to the name of eachNote set noteBody to the body of eachNote display dialog noteTitle & return & return & noteBody end repeat end tell ``` Me: > How can I turn that into a zsh script which will output the results to my terminal ChatGPT: ```zsh #!/usr/bin/zsh osascript -e 'tell application "Notes" repeat with eachNote in every note set noteTitle to the name of eachNote set noteBody to the body of eachNote set output to noteTitle & "\n" & noteBody & "\n" display dialog output log output end repeat end tell' ``` I had to change that first line to `#!/bin/zsh` - then when I ran it it spammed my screen with dialog boxes. Me: > I want to log the notes contents to the terminal, not display it in a dialog ChatGPT: ```zsh #!/bin/zsh osascript -e 'tell application "Notes" repeat with eachNote in every note set noteTitle to the name of eachNote set noteBody to the body of eachNote set output to noteTitle & "\n" & noteBody & "\n" log output end repeat end tell' ``` This really helps! {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} Initial proof of concept with ChatGPT 1616347574  
1461230197 https://github.com/dogsheep/apple-notes-to-sqlite/issues/1#issuecomment-1461230197 https://api.github.com/repos/dogsheep/apple-notes-to-sqlite/issues/1 IC_kwDOJHON9s5XGJp1 simonw 9599 2023-03-09T03:51:36Z 2023-03-09T03:51:36Z MEMBER After a few more rounds I got to this script, which outputs them to a `/tmp/notes.txt` file: ```zsh #!/bin/zsh osascript -e ' set notesFile to "/tmp/notes.txt" set fileRef to open for access notesFile with write permission tell application "Notes" repeat with eachNote in every note set noteId to the id of eachNote set noteTitle to the name of eachNote set noteBody to the body of eachNote write "------------------------" & "\n" to fileRef write noteId & "\n" to fileRef write noteTitle & "\n\n" to fileRef write noteBody & "\n" to fileRef end repeat end tell close access fileRef' ``` Then I wrote this little Python script to load them into a database: ```python import sqlite_utils split = b"------------------------\n" s = open("/tmp/notes.txt", "rb").read() notes = [n.decode("mac_roman") for n in s.split(split) if n] cleaned_notes = [{ "id": n.split("\n")[0], "title": n.split("\n")[1], "body": "\n".join(n.split("\n")[2:]).strip() } for n in notes] db = sqlite_utils.Database("/tmp/notes.db") db["notes"].insert_all(cleaned_notes) ``` {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} Initial proof of concept with ChatGPT 1616347574  
1461230436 https://github.com/dogsheep/apple-notes-to-sqlite/issues/1#issuecomment-1461230436 https://api.github.com/repos/dogsheep/apple-notes-to-sqlite/issues/1 IC_kwDOJHON9s5XGJtk simonw 9599 2023-03-09T03:51:52Z 2023-03-09T03:51:52Z MEMBER This did the job! Next step is to turn that into a Python script. {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} Initial proof of concept with ChatGPT 1616347574  

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CREATE TABLE [issue_comments] (
   [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,
   [issue] INTEGER REFERENCES [issues]([id])
, [performed_via_github_app] TEXT);
CREATE INDEX [idx_issue_comments_issue]
                ON [issue_comments] ([issue]);
CREATE INDEX [idx_issue_comments_user]
                ON [issue_comments] ([user]);
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