chore: pnpm style

Signed-off-by: Nasfame <[email protected]>

.github/pull_request_template.md

@@ -1,9 +1,6 @@
 ## Related Issue(s)
 
-Fixes #
-Resolves #
-Closes #
-
+Fixes # Resolves # Closes #
 
 ## Proposed Changes
 

.github/workflows/cross.yaml

@@ -55,17 +55,16 @@ jobs:
       - name: Build
         run: npm run build
 
-
   test:
     timeout-minutes: 10
 
     strategy:
       max-parallel: 2
       fail-fast: false
       matrix:
-        os: [ ubuntu-latest, macos-latest, windows-latest ]
-        node_version: [ 18, 19, 20 ]
-        architecture: [ x64 ] #, arm64 ] # arm,
+        os: [ubuntu-latest, macos-latest, windows-latest]
+        node_version: [18, 19, 20]
+        architecture: [x64] #, arm64 ] # arm,
 
     runs-on: ${{ matrix.os }}
     name: Node ${{ matrix.node_version }} - ${{ matrix.architecture }} on ${{ matrix.os }}
@@ -88,11 +87,8 @@ jobs:
         run: |
           echo $envfile > .env.tmp
           sed 's/ /\n/g' .env.tmp > .env
-#          source .env for windows
-
+      #          source .env for windows
       - name: Install dependencies
         run: pnpm install
-
-
 #      - name: Run tests for ${{runner.os}} TODO: once jest tests pass
 #        run: npm run test

README.md

@@ -4,10 +4,11 @@ Decentralized AI Model Training Infrastructure
 
 ## Description
 
-DeCenter AI is a PaaS infrastructure that empowers machine learning engineers to train AI models more quickly and
-affordably through decentralized parallel training mechanisms.
+DeCenter AI is a PaaS infrastructure that empowers machine learning engineers to train AI
+models more quickly and affordably through decentralized parallel training mechanisms.
 
 ## Table of Contents
+
 - [DeCenter AI](#decenter-ai)
 - [Description](#description)
 - [Table of Contents](#table-of-contents)
@@ -19,32 +20,35 @@ affordably through decentralized parallel training mechanisms.
 
 ## Overview
 
-DeCenter AI functions as a PaaS infrastructure, empowering machine learning engineers to expedite and make the training
-of AI models more cost-effective through decentralized parallel training methods.
+DeCenter AI functions as a PaaS infrastructure, empowering machine learning engineers to
+expedite and make the training of AI models more cost-effective through decentralized
+parallel training methods.
 
-The core objective of DeCenter AI is to democratize and decentralize AI model training. By offering a distributed
-training platform, it allows data scientists, machine learning engineers, researchers, and AI specialists to
-collaboratively contribute to the training of AI models. Structured around a distributed parallel training mechanism,
-DeCenter AI has been designed to facilitate the training of various ML and DL models in a significantly reduced time
-frame and cost compared to the current norms.
-Our platform incorporates a built-in incentive system, fueled by DCEN Tokens. This system not only rewards contributors
-and participants but also encourages them to undertake tasks such as reviewing, testing, and rating AI models.
+The core objective of DeCenter AI is to democratize and decentralize AI model training. By
+offering a distributed training platform, it allows data scientists, machine learning
+engineers, researchers, and AI specialists to collaboratively contribute to the training
+of AI models. Structured around a distributed parallel training mechanism, DeCenter AI has
+been designed to facilitate the training of various ML and DL models in a significantly
+reduced time frame and cost compared to the current norms. Our platform incorporates a
+built-in incentive system, fueled by DCEN Tokens. This system not only rewards
+contributors and participants but also encourages them to undertake tasks such as
+reviewing, testing, and rating AI models.
 
 ### Features
 
 - Decenter teams
 - Model repository
 - Model customization
 - Auto training and testing
-- Incentivisation and governance
-  View our [Features List](https://www.canva.com/design/DAFttOVmaYg/cfT1zEfkCmqLt4JiDqdMmw/view?utm_content=DAFttOVmaYg&utm_campaign=designshare&utm_medium=link&utm_source=publishsharelink).
+- Incentivisation and governance View our
+  [Features List](https://www.canva.com/design/DAFttOVmaYg/cfT1zEfkCmqLt4JiDqdMmw/view?utm_content=DAFttOVmaYg&utm_campaign=designshare&utm_medium=link&utm_source=publishsharelink).
 
 ### Target Customers
 
 - Data scientists
 - Machine learning engineers
-- AI Engineers
-  View our [Customer profile](https://www.canva.com/design/DAFri_nB4wo/eI4WrI2aQGyfy6T1bx4ZTQ/view?utm_content=DAFri_nB4wo&utm_campaign=designshare&utm_medium=link&utm_source=publishsharelink).
+- AI Engineers View our
+  [Customer profile](https://www.canva.com/design/DAFri_nB4wo/eI4WrI2aQGyfy6T1bx4ZTQ/view?utm_content=DAFri_nB4wo&utm_campaign=designshare&utm_medium=link&utm_source=publishsharelink).
 
 ### Benefits
 
@@ -53,30 +57,32 @@ and participants but also encourages them to undertake tasks such as reviewing,
 - Automated resource management
 - Seamless deployment and scalability
 
-
   ## How to Contribute
 
 We welcome contributions from the community! To get started, follow these steps:
 
 1. Fork the repository on GitHub.
 2. Clone your fork of the repository to your local machine.
-3. Create a new branch for your changes: `git checkout -b <your-username>/your-feature-branch`.
+3. Create a new branch for your changes:
+   `git checkout -b <your-username>/your-feature-branch`.
 4. Make your changes and commit them to your branch.
 5. Push your changes to your fork on GitHub.
 6. Open a pull request from your fork's branch to the main repository.
 
-Please make sure to follow the [Code of Conduct](./CODE_OF_CONDUCT.md) when contributing to this project.
+Please make sure to follow the [Code of Conduct](./CODE_OF_CONDUCT.md) when contributing
+to this project.
 
 ## License
 
 DeCenter AI is released under the [MIT License](https://opensource.org/licenses/MIT).
 
-
 ## Support
 
-For any inquiries or assistance, please contact our support team at [email protected] or visit
-our [website](https://decenterai.com/).
+For any inquiries or assistance, please contact our support team at [email protected]
+or visit our [website](https://decenterai.com/).
 
 ## Links
 
-[Deck](https://www.canva.com/design/DAFvisezgFA/GCYskdQ4GaltJ2v6YGIgjQ/view?utm_content=DAFvisezgFA&utm_campaign=designshare&utm_medium=link&utm_source=publishsharelink ). [Project Roadmap](https://www.canva.com/design/DAFttYsFcCE/NsHO_5cm8pPfHf8_dAFELA/view?utm_content=DAFttYsFcCE&utm_campaign=designshare&utm_medium=link&utm_source=publishsharelink).  [Go-to-market](https://www.canva.com/design/DAFttc0AxfY/unRA-Piq6dXOhxNGF2_3Ag/view?utm_content=DAFttc0AxfY&utm_campaign=designshare&utm_medium=link&utm_source=publishsharelink).
+[Deck](https://www.canva.com/design/DAFvisezgFA/GCYskdQ4GaltJ2v6YGIgjQ/view?utm_content=DAFvisezgFA&utm_campaign=designshare&utm_medium=link&utm_source=publishsharelink).
+[Project Roadmap](https://www.canva.com/design/DAFttYsFcCE/NsHO_5cm8pPfHf8_dAFELA/view?utm_content=DAFttYsFcCE&utm_campaign=designshare&utm_medium=link&utm_source=publishsharelink).
+[Go-to-market](https://www.canva.com/design/DAFttc0AxfY/unRA-Piq6dXOhxNGF2_3Ag/view?utm_content=DAFttc0AxfY&utm_campaign=designshare&utm_medium=link&utm_source=publishsharelink).

bacalhau.js

@@ -1,26 +1,26 @@
-const axios = require("axios");
+const axios = require('axios')
 
 let data = {
-  Engine: "Docker",
+  Engine: 'Docker',
   Docker: {
-    Image: "ubuntu",
-    Entrypoint: ["echo"],
-    Parameters: ["hello"],
+    Image: 'ubuntu',
+    Entrypoint: ['echo'],
+    Parameters: ['hello'],
   },
   Deal: {
     Concurrency: 1,
   },
-  Verifier: "Noop",
+  Verifier: 'Noop',
   PublisherSpec: {
-    Type: "IPFS",
+    Type: 'IPFS',
   },
-};
+}
 
 axios
-  .post("http://dashboard.bacalhau.org:1000/api/v1/run", data)
+  .post('http://dashboard.bacalhau.org:1000/api/v1/run', data)
   .then((response) => {
-    console.log(response.data);
+    console.log(response.data)
   })
   .catch((error) => {
-    console.error(error);
-  });
+    console.error(error)
+  })

decs.d.ts

@@ -1 +1 @@
-declare module "web3.storage";
+declare module 'web3.storage'

enums/app.ts

@@ -1,8 +1,8 @@
-export const AppName = "Decenter AI"
+export const AppName = 'Decenter AI'
 export const AppDescription = `
 DecenterAI: Decentralized Infra for AI Model Training
 `.trim()
 
 export const AppSiteManifest = '/site.webmanifest'
 
-export const WagmiProjectId = "db1b8a46ffa835bd9a48a89ff540f990"
+export const WagmiProjectId = 'db1b8a46ffa835bd9a48a89ff540f990'

environment.d.ts

@@ -1,6 +1,6 @@
 namespace NodeJS {
-      interface ProcessEnv {
-        NEXT_PUBLIC_AUTH_CID: string,
-        NEXT_PUBLIC_GOOGLE_CID: string; 
-      }
-  }
+  interface ProcessEnv {
+    NEXT_PUBLIC_AUTH_CID: string
+    NEXT_PUBLIC_GOOGLE_CID: string
+  }
+}

jest.config.ts

@@ -1,5 +1,5 @@
-import {pathsToModuleNameMapper} from 'ts-jest'
-import {compilerOptions} from './tsconfig.node.json'
+import { pathsToModuleNameMapper } from 'ts-jest'
+import { compilerOptions } from './tsconfig.node.json'
 
 const jestConfig = {
   preset: 'ts-jest',

package.json

@@ -115,4 +115,4 @@
   },
   "homepage": "https://app.decenterai.com",
   "packageManager": "[email protected]"
-}
+}