文件列表:

api/
app/
byo_network_hub/
common/
dawnet_discovery_server/
e2e_tests/
locale/
nginx/
tasks/
user/
Dockerfile.api
Dockerfile.cms
Dockerfile.websocket
LICENSE.md
Makefile
docker-compose.yml
example.env
manage.py
requirements.txt
setup.sh

# DAWNet `DAWNet` is a DAW (digit audio workstation) plugin that connects to a remote Google Colab or Script. A user can send audio files from the plugin for remote processing. Hence, perform computationally expensive tasks such as text-2-audio or stem separation without leaving the DAW. For more information: - [https://dawnet.tools/](https://dawnet.tools/) - [Community Discord](https://discord.gg/UcHCjfpRkV) # DAWNet infrastructure (DockerCompose) This is a monorepo containing all the services needed to support the DAWNet plugin and client. The repo contains the following services: * **DAWNET API SERVER:** The Django server (DRF) which serves the API and handles uploads/downloads to cloud storage. * **DAWNET WEBSOCKET SERVER:** A Python websockets server which handles the realtime communication between the dawnet remote Google Colabs (or scripts) * **POSTGRES DATABASE:** The database which stores all the data for the DAWNet infrastructure NOTE: there are a few other services which are currently just placeholders to support potential functionality such as a web frontend for user auth, etc. ## MAKE COMMANDS To install all dependencies: ```bash make install ``` To delete all dependencies: ```bash make clean ``` All the command from the Makefile would require to have your environment setup with the variables listed at the end of this file. You may used `example.env` as a sample. ### DB MIGRATIONS This django app has been setup for multi-settings mode (app/settings), two settings have been created: * api * web There are inheriting everything from app/settings/base.py. Here is an example of commands you can run for the `api` settings: ```bash make setting=api migrations make setting=api migrate make setting=api port=8080 server ``` *note: migrations require you to have a virtual environment setup i.e:* ```bash python3 -m venv env source env/bin/activate pip install -r requirements.txt make setting=api migrations ``` The server will be ready on http://localhost:8080. ## Dependencies: * **SERVER:** You will a server expose to the public internet. I recommend a multi-core Ubuntu VM on AWS or GCP. * **DOCKER-COMPOSE:** you will need docker and docker-compose installed on you server. I recommend querying CHAT-GPT for instructions on how to install docker-compose on your server. * **GCP CLOUD STORAGE:** As currently implemented the system expects to use GCP cloud storage for the storage and transfer of audio files. You will need to create a GCP account, download the service account key, put it in the root of the repo, the filling the environment variables. See `example.env` for the required format of the service key. ## Running The Services Set up your environment variables by renaming the `example.env` to `.env` and fill in the required values. Start the services using docker-compose: ```bash docker-compose up --build ```` After running this command, (BY DEFAULT) you should have the following services exposed on the following ports: * **DAWNET API SERVER:** `http://[YOUR-IP-AT-PORT]:8081` * **DAWNET WEB SOCKET:** `http://[YOUR-IP-AT-PORT]:8765` ### NOTE: Remember you'll need to expose your ports to the public internet on your VM. (Query Chat-GPT for instructions on how to do this.)

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