1.2 KiB
1.2 KiB
Running the backend
- Create a
.env.docker
file, which must contain the following.
OPENAI_API_KEY=openai_key DB_CONNECTION=postgresql://postgres:password@database:5432/haystack_db?sslmode=disable
- Use
docker-compose up
to spin up the containers.
You should be able to access the backend through port 3040
Methods
For now, we cheat and add a userId
header which if os type UUID
. Use the auto generated test one (fcc22dbb-7792-4595-be8e-d0439e13990a).
GET /image
| Returns all of the users image, including tags, links and text any image contains.GET /image/{imageId}
| Returns the actual image, use this to display images in the UI.POST /image/{imageNameWithExtension}
| Sends an image to the backend, saves it and sents it to open ai to later process.
Architecture
- The user posts an image, which gets saved on our database (all data, including images are saved on DB).
- We listen for table event creation, and we can process this image by sending it to OpenAI.
- After OpenAI responds, we write to the database.
This means that for now, we don't have a notification system to tell the user when their image is done processing. But will do in the future.