bq1024/computing-provider

Lagrange Asynchronous Tasks Pipeline

As a pipeline, the states are changing according to the build needs. Standard build process:

• Webhook trigger
• Task creation
  • Task details from CID
  • Download the Space
  • Make build
  • Push to the remote docker hub
  • Clean up
    • build file
    • local cache
    • images

Installation

Install from Source code

Install and Start Redis

 docker run -d --name computing_provider -p 6379:6379 redis/redis-stack-server:latest 

computing provider

git clone https://github.com/lagrangedao/computing-provider
cp .env_smaple .env

for variables in the .env file

MCS_API_KEY= <From multichain.storage>
MCS_ACCESS_TOKEN= <From multichain.storage>
MCS_BUCKET=<Your bucket name in multichain.storage>
FILE_CACHE_PATH= <local folder name for store local file, e.g.temp_file >
OUR_DOCKER_USERNAME= < for login docker hub>
OUR_DOCKER_PASSWORD=< for login docker hub>
OUR_DOCKER_EMAIL=< for login docker hub>

Setup config file

cp config/config_template.toml config/config.toml

For values in config.toml

api_url = "https://api.lagrangedao.org"
computing_provider_name = <Your computing provider name>
multi_address = "/ip4/<Your public ip>/tcp/<your port>"
lagrange_key = "xxxxx" <Check the document below for how to get it>

How to get lagrange_key

• Go to lagrangedao.org and connet with your wallet
• Open https://lagrangedao.org/personal_center/setting/tokens, create a new token

Start the CP Node

sudo apt install -y gunicorn
pip install -r requirements.txt
gunicorn -c "python:config.gunicorn" --reload "computing_provider.app:create_app()"

You will see the following output if start properly:

[2023-04-17 00:28:09 -0400] [916988] [INFO] Starting gunicorn 20.1.0
[2023-04-17 00:28:09 -0400] [916988] [INFO] Listening at: http://0.0.0.0:8000 (916988)
[2023-04-17 00:28:09 -0400] [916988] [INFO] Using worker: sync
[2023-04-17 00:28:09 -0400] [916989] [INFO] Booting worker with pid: 916989
[2023-04-17 00:28:09,602] INFO in node_service: Found key in .swan_node/private_key
[2023-04-17 00:28:09,604] INFO in boot: Node started: 0x601e25ab158ba1f7

Start a CP worker

sudo apt install -y python-celery-common 
celery --app computing_provider.computing_worker.celery_app worker --loglevel "${CELERY_LOG_LEVEL:-INFO}"

Install with Docker

Build all services:

docker-compose build

Start all services:

docker-compose up

Stop all serivces:

docker-compose stop