Revert "Modify docker compose configuration for local development (#829)" (#835)

This reverts commit f80053c.

Author: mihow

README.md

@@ -16,39 +16,23 @@ Antenna uses [Docker](https://docs.docker.com/get-docker/) & [Docker Compose](ht
     127.0.0.1 minio
     127.0.0.1 django
 ```
-3) The following commands will build all services, run them in the background, and then stream the logs.
-   1) Standard development: will use a pre-built version of the frontend that will not have hot-reloading enabled, but will make startup time faster when restarting the stack.
-      ```sh
-      # Build the frontend (only needed the first time starting the stack and after modification to the frontend component)
-      (cd ui && yarn install && yarn build)
-      ```
-      ```sh
-      # Start the whole compose stack
-      docker compose up -d
-
-      # To stream the logs
-      docker compose logs -f django celeryworker ui
-      # Ctrl+c to close the logs
-      ```
-      If there's a need to update the frontend while using this override, simply re-build the frontend to load the new changes.
-      ```sh
-      (cd ui && yarn build)
-      ```
-
-   2) With Hot Reload UI: Hot reload is enabled for frontend development, but the primary web interface will be slow to load at startup and later restarts.
-      ```sh
-      # Run docker compose with the override config
-      docker compose -f docker-compose.yml -f docker-compose-frontend-dev.override.yml up -d
-      ```
-
-4) Optionally, run additional ML processing services: `processing_services` defines ML backends which wrap detections in our FastAPI response schema. The `example` app demos how to add new pipelines, algorithms, and models. See the detailed instructions in `processing_services/README.md`.
+
+2) The following commands will build all services, run them in the background, and then stream the logs.
+
+```sh
+    docker compose up -d
+    docker compose logs -f django celeryworker ui
+    # Ctrl+c to close the logs
+```
+
+3) Optionally, run additional ML processing services: `processing_services` defines ML backends which wrap detections in our FastAPI response schema. The `example` app demos how to add new pipelines, algorithms, and models. See the detailed instructions in `processing_services/README.md`.
 
 ```
 docker compose -f processing_services/example/docker-compose.yml up -d
 # Once running, in Antenna register a new processing service called: http://ml_backend_example:2000
 ```
 
-5) Access the platform the following URLs:
+4) Access the platform the following URLs:
 
 - Primary web interface: http://localhost:4000
 - API browser: http://localhost:8000/api/v2/
@@ -60,7 +44,7 @@ A default user will be created with the following credentials. Use these to log
 - Email: `antenna@insectai.org`
 - Password: `localadmin`
 
-6) Stop all services with:
+5) Stop all services with:
 
     $ docker compose down
 

compose/local/ui/Dockerfile

@@ -14,4 +14,4 @@ ENV BROWSER=none
 EXPOSE 4000
 
 # Check for changed app dependencies on every start
-CMD ["sh", "-c", "yarn preview --debug --host 0.0.0.0 --port 4000"]
+CMD ["sh", "-c", "yarn install && yarn start --debug --host 0.0.0.0 --port 4000"]

docker-compose-frontend-dev.override.yml

@@ -66,6 +66,21 @@ services:
       - CHOKIDAR_USEPOLLING=true
       - API_PROXY_TARGET=http://django:8000
 
+  docs:
+    image: ami_local_docs
+    build:
+      context: .
+      dockerfile: ./compose/local/docs/Dockerfile
+    env_file:
+      - ./.envs/.local/.django
+    volumes:
+      - ./docs:/docs:z
+      - ./config:/app/config:z
+      - ./ami:/app/ami:z
+    ports:
+      - "9025:9000"
+    command: /start-docs
+
   redis:
     image: redis:6
     container_name: ami_local_redis