Update README.md

README.md

@@ -4,23 +4,23 @@ The map of the fediverse that you always wanted.
 ![A screenshot of fediverse.space](screenshot.png)
 
 ## Requirements
-- For everything:
-  - Docker
-  - Docker-compose
 - For the scraper + API:
-  - Python 3
+  - Elixir
+  - Postgres
 - For laying out the graph:
   - Java
 - For the frontend:
+  - Node.js
   - Yarn
 
+All of the above can also be run through Docker with `docker-compose`.
+
 ## Running it
 ### Backend
 - `cp example.env .env` and modify environment variables as required
 - `docker-compose build`
-- `docker-compose up -d django`
+- `docker-compose up -d phoenix`
-  - if you don't specify `django`, it'll also start `gephi` which should only be run as a regular one-off job
+  - if you don't specify `phoenix`, it'll also start `gephi` which should only be run as a regular one-off job
-  - to run in production, run `caddy` rather than `django`
 ### Frontend
 - `cd frontend && yarn install`
 - `yarn start`
@@ -29,25 +29,9 @@ The map of the fediverse that you always wanted.
 ### Backend
 
 After running the backend in Docker:
-
-- `docker-compose exec web python manage.py scrape` scrapes the fediverse
-  - It only scrapes instances that have not been scraped in the last 24 hours.
-  - By default, it'll only scrape 50 instances in one go. If you want to scrape everything, pass the `--all` flag.
-- `docker-compose exec web python manage.py build_edges` aggregates this information into edges with weights
 - `docker-compose run gephi java -Xmx1g -jar build/libs/graphBuilder.jar` lays out the graph
 
-To run in production, use `docker-compose -f docker-compose.yml -f docker-compose.production.yml` instead of just `docker-compose`.
+`./gradlew shadowJar` compiles the graph layout program. `java -Xmx1g -jar build/libs/graphBuilder.jar` runs it.
-
-An example crontab:
-```
-# crawl 50 stale instances (plus any newly discovered instances from them)
-# the -T flag is important; without it, docker-compose will allocate a tty to the process
-15,45 * * * * docker-compose -f docker-compose.yml -f docker-compose.production.yml exec -T django python manage.py scrape
-# build the edges based on how much users interact
-15 3 * * * docker-compose -f docker-compose.yml -f docker-compose.production.yml exec -T django python manage.py build_edges
-# layout the graph
-20 3 * * * docker-compose -f docker-compose.yml -f docker-compose.production.yml run gephi java -Xmx1g -jar build/libs/graphBuilder.jar
-```
 
 ### Frontend
 - `yarn build` to create an optimized build for deployment