A community hangout/hub/lab and directory with swell and surf forcasting tools baked in.
run with:
"npm run dev"
Did:👇
1.Added NOAA for us territories 2.Stormglass free tier integration (not activated yet with api) 3.Openweathermap free tier 4.Added current & forecast tabs to surf reports components 5.reports feature Formated, getting there! Still needs some tweaks. 6.Added Open meteo marine data api! (working just need to fine tune output) 7.Integrated Chat with Supabase 8.optimized reports UI upon initial search trigger (search condensed, space optimized) 9.added date function to include the current date of search.
- todo:👇 (++ = priority)
note: Going slow and taking it step by step with Copilot works very well!
++ forecast
Increase the size of the weather icon,give it appropriate m/p to be harmonious with sourounding features
add the Temperature in Celcius and Farenheight right along side the weather icon (flex items-center gap-4) remove from forecast.weatherSummary below it.
where we currently have the forecast.recommendation.split... lets instead have weather insight exp.: "Sunny and warm with light winds, and 20% chance of rain." using the data we're pulling.
tweak reports UI: 1.Edit and enhane AI advice section.2 format overall conditions response so it looks nicer and optimized.
Add beach or surfspot name recognition - IN PROGRESS: Known surf spot database with 25+ famous spots
Add sunny/cloudy/rainy and maybe temp. to current conditions sections. I imagine a sunny/cloudy/rainy image in the right space of this section
actually looks like we can combine the weather over view section wit the current conditions section. to give users an imidieate snap shot of the overall conditions.
surf reports UI/UX should all include the same cards, and if the data is not available for a particular spot we just populate "unavailable for this spot"
+chat
#but input is locked. fix this.
+work on dashboard #top tab group: dashboard my reports, my forum activity etc. not working.
+add a back arrow btn/link to edit my account ui.
+Redirect unauthenticated users who try to access the dashboard to a sign-in/sign-up page. This keeps your navigation clean and guides users to the right place.
All technical documentation has been organized in the docs/ directory:
- 🌟
docs/COMPREHENSIVE_SURF_FORECAST_GUIDE.md- Complete system overview (marine data, surf algorithms, AI forecasting) - 🛠️
docs/setup-guides/- Setup and migration guides - 👨💻
docs/development/- Technical implementation details - 📋
docs/blueprint.md- Original project vision
Quick Start: For technical details, start with the Comprehensive Surf Forecast Guide.
Great progress! Here’s a checklist and some guidance for finishing your Supabase auth flow and dashboard:
- In Supabase Dashboard, set the Redirect URL to
/auth/confirm-success(as you noted in your README). - In your Next.js app, create a page at
src/app/auth/confirm-success/page.tsxto show a success message after email confirmation.
- Supabase sends a confirmation link to the user’s email.
- When the user clicks the link, they’re redirected to
/auth/confirm-success. - On this page, you can optionally check the session and show a message or auto-login.
- Create a dashboard page at
src/app/private/dashboard/page.tsx. - Use Supabase client-side or server-side helpers to check if the user is authenticated.
- If not authenticated, redirect to sign-in.
'use client';
import { useEffect } from 'react';
import { useRouter } from 'next/navigation';
import { createClientComponentClient } from '@supabase/auth-helpers-nextjs';
export default function Dashboard() {
const router = useRouter();
const supabase = createClientComponentClient();
useEffect(() => {
supabase.auth.getSession().then(({ data: { session } }) => {
if (!session) {
router.push('/auth/signin');
}
});
}, [router, supabase]);
return (
<div>
<h1>Welcome to your Dashboard!</h1>
{/* Dashboard content here */}
</div>
);
}- Finish your
/auth/confirm-successpage. - Add logic to protect
/private/dashboard. - Test the full flow: sign up → confirm email → redirect → dashboard.
Let me know if you want code for the confirmation page or help with any specific step!
(try using github copilot to...) fix this bug we found while trying to deploy on Vercel: You cannot have two parallel pages that resolve to the same path. Please check /(auth)/confirm/page and /(auth)/confirm/route. Refer to the route group docs for more information: https://nextjs.org/docs/app/building-your-application/routing/route-groups
add a private/dashboard page for users who are signed in.
Now, you need to configure your Supabase project to redirect users to this new page (/auth/confirm-success) after they click the confirmation link in the email.
To do this, you'll need to go to your Supabase Dashboard:
Navigate to Authentication. Click on Settings. Under Site URL and Redirect URLs, add the full URL to your confirm-success page. For example, if your site URL is https://mysite.com, you would add https://mysite.com/auth/confirm-success to the Redirect URLs.
fix bug under count in private actions.ts add chat from supabase: not done updateing sign up and login ui: in process
Swell Forecast/surf Report Todo:👇
last message from Gemini: The code is trying to safely extract the text content from the rawOutput using optional chaining (?.) and the find method.
The red underlines on content and part likely indicate that the TypeScript compiler doesn't know for sure that rawOutput will have a content property, or that the items within the content array will have a text property. This is a type safety issue.
The type of rawOutput is determined by the return type of swellForecastPrompt(input). The swellForecastPrompt is defined using ai.definePrompt, and the return type of ai.definePrompt (or rather, the result of calling the defined prompt) might be a generic type that doesn't guarantee the presence and structure of content in the way you're trying to access it.
To fix this, we need to provide more specific type information for rawOutput. If you know the expected structure of the AI's response, you can define an interface or type for it and then assert that rawOutput conforms to that type.
For example, if you expect rawOutput to have a content property that is an array of objects, where each object might have a text property, you could define a type like this:
interface AiResponse { content?: Array<{ text?: string; [key: string]: any }>; // Add other properties if the AI response has them }
And then cast rawOutput to this type:
const rawOutput = await swellForecastPrompt(input) as AiResponse;
However, a potentially cleaner approach within the GenKit framework might be to leverage the output schema defined for the prompt. The swellForecastPrompt has output: { schema: SwellForecastOutputSchema }. GenKit might provide a way to get a typed output directly based on this schema, rather than manually parsing the text content.
Let's explore if there's a more idiomatic GenKit way to handle the prompt's output that respects the defined schema. If not, we can proceed with defining a type for the raw AI response.
Do you have any information about the exact structure of the object returned by swellForecastPrompt? Or shall I look into how GenKit handles prompt output with defined schemas?
continue debugging the swell forecast feature. Run get swell forecast and see what it says.
last sesh:👇
Work on fetching the data from the API route that calls getSwellForecast and then render the information on: src/app/swell-forecaster/page.tsx in a cool beautiful and user-friendly way.
prompt co-pilot to: “proceed with integrating the getSwellForecast function into your frontend (src/app/swell-forecaster/page.tsx)”last