b58efc413d
feat: asking AI for a description and storing vectors on DB
2025-05-13 16:34:52 +01:00
64439d9041
feat: using struct to send notification and improved image model
2025-05-10 16:03:31 +01:00
2f3d643278
feat: not deleting images to process
2025-05-10 15:12:25 +01:00
8e6424aa63
feat: sending notifications
2025-05-10 15:04:11 +01:00
07b83aa728
feat: allowing user to get a list of their images
...
feat: UI to show and organise user images
2025-05-05 16:24:15 +01:00
d34805030f
feat: frontend responding to backend SSE and refetching images
2025-04-26 20:32:01 +01:00
47c871523d
feat(sse): very rough events. Not used in the client yet
...
feat(sse): very rough events. Not used in the client yet
2025-04-13 14:27:59 +01:00
6290c4b843
feat: checking user authorization on image retrieval
2025-04-11 19:41:36 +01:00
b09063f74a
refactor(text,tags,links): to foreign key to image instead of user_image
2025-03-18 17:48:38 +00:00
4b120982d0
fix: returning whole tag object
2025-03-16 18:29:15 +00:00
7582e4d8d9
fix: returns correct image ID
2025-03-16 18:20:29 +00:00
8acf25a2a7
refactor(models): using more organised structure
2025-03-16 18:13:30 +00:00
536a49fe1c
feat(tags): correctly inserting new tags and adding them to images
2025-03-11 22:47:28 +00:00
53ebbb6e8d
feat: sending images and receiving them is now working
2025-03-08 13:13:05 +00:00
bf07c18fd7
feat: sending base64 image to backend
...
This is silly, but binary is apparently hard to do????
2025-03-08 12:30:16 +00:00
d1d6ee6762
fix: some spam from get images request
2025-02-26 20:48:52 +00:00
ad61b8e1fa
fix: getting user images
2025-02-26 20:09:19 +00:00
d8095b0c67
refactor: tables for image and processing_image
...
This allows a single table to be used to process images, meaning if
anything happens to the system we can always return to polling the
database and process these images individually.
Because of this we also want an `image` table to contain the actual
binary data for the image, so we aren't selecting and writing it each
time, as it is potentially a bottleneck.
2025-02-26 20:01:56 +00:00
410270e217
refactor: using chi router + bug fixes
2025-02-26 18:04:30 +00:00
5bec6c9590
fix: actually saving to the correct db table
2025-02-26 15:54:27 +00:00
971f705288
fix: actually returning all the user images
...
fix
2025-02-24 21:19:59 +00:00
b99432c202
feat: saving AI information to database
2025-02-24 21:00:05 +00:00
ee0587a16b
feat: method for getting images
2025-02-24 20:05:56 +00:00
64f6bde6a9
feat: methods to get image
2025-02-24 20:02:58 +00:00
2115da85b5
feat: working docker image and compose file
2025-02-24 19:44:19 +00:00
97b1619b01
refactor: moving all files to backend
2025-02-22 23:30:59 +00:00
