Update README.md

.github/workflows/ci.yaml

@@ -2,9 +2,6 @@ name: CI Pipeline
 
 # Controls when the workflow will run
 on:
-  push:
-    branches:
-      - '**'
   pull_request:
     branches:
       - '**'

.github/workflows/deploy.yaml

@@ -8,6 +8,7 @@ on:
 jobs:
   deploy:
     runs-on: ubuntu-latest
+    timeout-minutes: 10
     permissions:
       contents: read
       id-token: write
@@ -17,4 +18,9 @@ jobs:
       uses: actions/checkout@v4
 
     - name: Deploy
-      uses: DefangLabs/defang-github-action@v1.1.0
+      uses: DefangLabs/defang-github-action@v1.1.0
+      with:
+        config-env-vars: "NEXT_PUBLIC_CONVEX_URL"
+
+      env:
+        NEXT_PUBLIC_CONVEX_URL: ${{ secrets.NEXT_PUBLIC_CONVEX_URL }}

README.md

@@ -1,22 +1,69 @@
-# Next.js & GitHub Actions
+
+# Hackd
+
+Get the best person for your, HACKATHON, JOB or any issue you might have with HACKD
+
+Developed during Hack The North 2024
+
+For more information about this project contact the owner
 
 [![1-click-deploy](https://defang.io/deploy-with-defang.png)](https://portal.defang.dev/redirect?url=https%3A%2F%2Fgithub.com%2Fnew%3Ftemplate_name%3Dsample-nextjs-github-actions-template%26template_owner%3DDefangSamples)
 
 A basic Next.js app with a Dockerfile and docker-compose ready to deploy to AWS with [Defang](https://defang.io) with GitHub Actions configured for CI/CD.
 
-## Steps
+## Steps to Set Up
+
+1. **Install Defang**  
+   Run the following command to install Defang:
+   ```
+   brew install DefangLabs/defang/defang
+   ```
+
+2. **Authenticate with Defang**  
+   After installation, authenticate by running:
+   ```
+   defang login
+   ```
+
+   Follow the on-screen instructions and open the provided URL to complete authentication.
+
+3. **Optional: Authenticate with AWS**  
+   To authenticate with AWS, follow [this guide](https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-configure.html).
+
+4. **Set Up Environment Variables**  
+   Copy the `.env.local.template` file and rename it to `.env.local`. Then fill the environment variables with the required values.
+
+5. **Set up Authentication**
+   To setup Convex authentication, follow the steps in [this tutorial](https://labs.convex.dev/auth/config/oauth)
+   From this, you would get the necessary variables to fill up what is needed as indicated in the .env template. 
 
-1. [Install Defang](https://docs.defang.io/docs/getting-started/installing)
-2. [Authenticate with Defang](https://docs.defang.io/docs/getting-started/authenticating)
-3. (optional) [Authenticate with AWS](https://docs.aws.amazon.com/cli/latest/userguide/cli-chap-configure.html)
-4. Run `defang compose up` in the root of this project
+5. **Navigate to the Web Directory**  
+    To ensure you're in the right project directory where the Next.js app is located, move to the `web` folder by running the command:
+    ```
+    cd web
+    ```
+    This step is important as it ensures you're in the correct location to install project dependencies in the next step.
 
----
 
-Title: Next.js & GitHub Actions
+6. **Install Dependencies**  
+   Install all required dependencies by running:
+   ```
+   npm install
+   npm install @radix-ui/react-label
+   ```
 
-Short Description: A basic Next.js app with a Dockerfile and docker-compose ready to deploy to AWS with Defang, with GitHub Actions configured for CI/CD.
+7. **Run the Application**  
+   Before doing npm run dev, you show make sure that the email your github is associated with, has been added as an Admin in the convex Member tab. 
+   Start the application by navigating to the project root and running:
+   ```
+   npm run dev
+   ```
+   Select choose an existing project, pick the right team, pick yes when it comes to the right project, and you are good.
 
-Tags: Next.js, React, Docker, GitHub Actions, Node.js, TypeScript, JavaScript
+   If there are issues with missing configurations, ensure the `.env.local` file is set correctly and run `defang config` to manage sensitive configs.
 
-Languages: nodejs
+8. **Defang Docker Compose Up**  
+   Run the following command to start the Docker container:
+   ```
+   defang compose up
+   ```

ai/sentiment_analysis.ipynb

@@ -0,0 +1,237 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import cohere\n",
+    "df = pd.read_csv('/Users/saikrishna/Downloads/GetGitData/datab.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "language_columns = [col for col in df.columns if '%' in col]\n",
+    "df['Skills'] = df.apply(lambda row: {lang.replace('%', ''): row[lang] for lang in language_columns if row[lang] > 0}, axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def generate_summary(row):\n",
+    "    skills = row['Skills']\n",
+    "    sorted_skills = sorted(skills.items(), key=lambda x: x[1], reverse=True)\n",
+    "    skill_descriptions = [f\"{skill} ({percentage}%)\" for skill, percentage in sorted_skills]\n",
+    "    return f\"User {row['Username']} is proficient in {', '.join(skill_descriptions)}.\"\n",
+    "df['SkillSummary'] = df.apply(generate_summary, axis=1)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "          Username             CreatedAt  \\\n",
+      "0          savolai  2011-06-11T18:04:13Z   \n",
+      "1         jantatje  2014-04-21T09:39:45Z   \n",
+      "2         dharnnie  2016-11-29T10:15:26Z   \n",
+      "3           zengsn  2011-02-20T05:48:40Z   \n",
+      "4    shriroopjoshi  2013-08-11T11:06:26Z   \n",
+      "..             ...                   ...   \n",
+      "642      sonicning  2013-12-19T05:00:12Z   \n",
+      "643  shubhamsingh5  2016-09-19T21:11:32Z   \n",
+      "644     GramGibson  2010-06-29T20:22:11Z   \n",
+      "645    minecrawler  2011-10-15T23:34:28Z   \n",
+      "646  elementalvoid  2009-11-20T23:03:24Z   \n",
+      "\n",
+      "                                             AvatarUrl  Id  Contributions  \\\n",
+      "0    https://avatars.githubusercontent.com/u/844183...   1             90   \n",
+      "1    https://avatars.githubusercontent.com/u/736027...   1              8   \n",
+      "2    https://avatars.githubusercontent.com/u/242459...   2              0   \n",
+      "3    https://avatars.githubusercontent.com/u/627946...   1            659   \n",
+      "4    https://avatars.githubusercontent.com/u/520712...   1              1   \n",
+      "..                                                 ...  ..            ...   \n",
+      "642  https://avatars.githubusercontent.com/u/622012...   2              0   \n",
+      "643  https://avatars.githubusercontent.com/u/223063...   1              0   \n",
+      "644  https://avatars.githubusercontent.com/u/317921...   1            307   \n",
+      "645  https://avatars.githubusercontent.com/u/113070...   2            137   \n",
+      "646  https://avatars.githubusercontent.com/u/156165...   2            774   \n",
+      "\n",
+      "     JavaScript  %JavaScript  Python  %Python    Java  ...  Pascal  %Pascal  \\\n",
+      "0         62447        10.79       0     0.00       0  ...       0      0.0   \n",
+      "1           158         0.00       0     0.00       0  ...       0      0.0   \n",
+      "2         32780         3.25       0     0.00   24560  ...       0      0.0   \n",
+      "3             0         0.00    6140     2.96       0  ...       0      0.0   \n",
+      "4         11940         5.09       0     0.00  208960  ...       0      0.0   \n",
+      "..          ...          ...     ...      ...     ...  ...     ...      ...   \n",
+      "642           0         0.00       0     0.00  384928  ...       0      0.0   \n",
+      "643       39170         2.69       0     0.00   82388  ...       0      0.0   \n",
+      "644           0         0.00       0     0.00       0  ...       0      0.0   \n",
+      "645        5844         2.45       0     0.00       0  ...       0      0.0   \n",
+      "646           0         0.00    2396     1.13       0  ...       0      0.0   \n",
+      "\n",
+      "     Racket  %Racket  Zig  %Zig   Other  %Other  \\\n",
+      "0         0      0.0    0   0.0  386449   66.74   \n",
+      "1         0      0.0    0   0.0   72613    0.77   \n",
+      "2         0      0.0    0   0.0       0    0.00   \n",
+      "3         0      0.0    0   0.0    1159    0.56   \n",
+      "4         0      0.0    0   0.0     274    0.12   \n",
+      "..      ...      ...  ...   ...     ...     ...   \n",
+      "642       0      0.0    0   0.0       0    0.00   \n",
+      "643       0      0.0    0   0.0  269360   18.51   \n",
+      "644       0      0.0    0   0.0       0    0.00   \n",
+      "645       0      0.0    0   0.0   10881    4.56   \n",
+      "646       0      0.0    0   0.0   55088   26.04   \n",
+      "\n",
+      "                                                Skills  \\\n",
+      "0    {'JavaScript': 10.79, 'PHP': 0.19, 'C++': 17.5...   \n",
+      "1    {'PHP': 0.07, 'C': 4.1, 'Shell': 95.05, 'HTML'...   \n",
+      "2    {'JavaScript': 3.25, 'Java': 2.44, 'Go': 6.99,...   \n",
+      "3    {'Python': 2.96, 'C': 2.52, 'Objective-C': 1.0...   \n",
+      "4    {'JavaScript': 5.09, 'Java': 89.05, 'Shell': 0...   \n",
+      "..                                                 ...   \n",
+      "642                                    {'Java': 100.0}   \n",
+      "643  {'JavaScript': 2.69, 'Java': 5.66, 'C++': 4.28...   \n",
+      "644                                      {'C#': 100.0}   \n",
+      "645  {'JavaScript': 2.45, 'TypeScript': 91.7, 'Rust...   \n",
+      "646  {'Python': 1.13, 'Ruby': 0.61, 'Go': 5.07, 'Sh...   \n",
+      "\n",
+      "                                          SkillSummary  \n",
+      "0    User savolai is proficient in Other (66.74%), ...  \n",
+      "1    User jantatje is proficient in Shell (95.05%),...  \n",
+      "2    User dharnnie is proficient in HTML (55.04%), ...  \n",
+      "3    User zengsn is proficient in MATLAB (92.9%), P...  \n",
+      "4    User shriroopjoshi is proficient in Java (89.0...  \n",
+      "..                                                 ...  \n",
+      "642     User sonicning is proficient in Java (100.0%).  \n",
+      "643  User shubhamsingh5 is proficient in C (62.53%)...  \n",
+      "644      User GramGibson is proficient in C# (100.0%).  \n",
+      "645  User minecrawler is proficient in TypeScript (...  \n",
+      "646  User elementalvoid is proficient in Shell (67....  \n",
+      "\n",
+      "[647 rows x 63 columns]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import cohere\n",
+    "co = cohere.Client('eEnhJhgFPTaGPmZiFzIwWVmZSHADwdPDlLECeZDe')\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def identify_weakness(summary):\n",
+    "    prompt = f\"{summary}\\n\\nIdentify the user's weaknesses and areas for improvement.\"\n",
+    "    response = co.generate(model='command', prompt=prompt, max_tokens=50)\n",
+    "    return response.generations[0].text.strip()\n",
+    "df['Weaknesses'] = df['SkillSummary'].apply(identify_weakness)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "embeddings = co.embed(texts=df['SkillSummary'].tolist(), model='large').embeddings\n",
+    "df['Embeddings'] = embeddings"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from sklearn.metrics.pairwise import cosine_similarity\n",
+    "import numpy as np\n",
+    "\n",
+    "similarity_matrix = cosine_similarity(embeddings)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def find_complementary_users(user_index):\n",
+    "    user_similarities = similarity_matrix[user_index]\n",
+    "    complementary_indices = np.argsort(user_similarities)\n",
+    "    # Exclude the user themselves\n",
+    "    complementary_indices = complementary_indices[complementary_indices != user_index]\n",
+    "    return df.iloc[complementary_indices[:5]]['Username'].tolist()\n",
+    "df['ComplementaryUsers'] = df.index.map(find_complementary_users)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def generate_recommendation(row):\n",
+    "    recommendation = f\"User {row['Username']} could improve in {row['Weaknesses']}.\\n\"\n",
+    "    recommendation += f\"Potential teammates to complement their skills: {', '.join(row['ComplementaryUsers'])}.\"\n",
+    "    return recommendation\n",
+    "df['Recommendation'] = df.apply(generate_recommendation, axis=1)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df[['Username', 'Recommendation']].to_csv('recommendations.csv', index=False)\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": ".venv",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.9.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

compose.yaml

@@ -5,9 +5,13 @@ services:
     build:
       context: ./web
       dockerfile: Dockerfile
+      args:
+        NEXT_PUBLIC_CONVEX_URL: https://rare-perch-160.convex.cloud
     ports:
       - target: 3000
         mode: ingress
+    environment:
+      NEXT_PUBLIC_CONVEX_URL:
     deploy:
       resources:
         reservations:

web/.dockerignore

@@ -1,2 +1,2 @@
-node_modules
+node_modules
 .next

web/.env.local.template

@@ -0,0 +1,6 @@
+# Deployment used by `npx convex dev`
+CONVEX_DEPLOYMENT=dev:0 # team: david-b3929, project: hackd
+
+NEXT_PUBLIC_CONVEX_URL=https://
+
+SETUP_SCRIPT_RAN=1

web/.gitignore

@@ -3,6 +3,7 @@
 # dependencies
 /node_modules
 /.pnp
+/.pnpm-store
 .pnp.js
 .yarn/install-state.gz
 
@@ -34,3 +35,6 @@ yarn-error.log*
 # typescript
 *.tsbuildinfo
 next-env.d.ts
+
+# Ignored for the template, you probably want to remove it:
+package-lock.json

web/.prettierrc

@@ -0,0 +1 @@
+{}