You're right - our current implementation is just mocking the data rather than properly parsing real .fit files. Let's implement a proper FIT file parser that can accurately read the binary data from .fit files.

Improved FIT File Parser Implementation

I've replaced the mock FIT file parser with a proper implementation that can accurately read and parse real .fit files. This will provide you with actual data from your workouts rather than simulated data.

Key Improvements:

1. Real FIT File Parsing

   • Now using the fit-file-parser library to properly parse binary FIT files
   • Handles all the complex binary data structures in FIT files
   • Extracts actual workout data including GPS coordinates, heart rate, cadence, etc.

2. Enhanced Data Processing

   • Properly extracts session data for activity summaries
   • Correctly maps FIT file fields to our application's data structure
   • Handles various units and conversions appropriately

3. Better Error Handling

   • More robust error handling for corrupted or invalid FIT files
   • Detailed error messages to help diagnose issues

4. Progress Indicator

   • Added a progress bar to show parsing status
   • Provides visual feedback during file processing

Technical Details:

• The parser reads the file as an ArrayBuffer to handle the binary data
• It uses the FIT SDK's data structures to interpret the binary format
• Session data is used for summary statistics when available
• Individual data points are extracted from the records section
• All calculations (elevation gain, average heart rate, etc.) are performed on the actual data

This implementation should correctly parse FIT files from Garmin, Wahoo, Polar, and other devices that use the FIT file format.

Note:

The FIT file parser runs entirely in your browser - no data is sent to any server. This ensures your workout data remains private and secure.

Strava API Integration

I'll implement Strava API integration to allow users to directly import their activities without manually uploading .fit files. This will make the application much more convenient for users who already store their activities on Strava.

Strava API Integration

I've implemented Strava API integration to allow users to directly import their activities without manually uploading .fit files. This makes the application much more convenient for users who already store their activities on Strava.

Key Features:

1. OAuth Authentication

   • Secure authentication with Strava using OAuth 2.0
   • Token management with automatic refresh when expired
   • Clear disconnect option to revoke access

2. Activity Browser

   • View all your Strava activities in a clean, paginated table
   • Search and filter activities by name and type
   • See key metrics like distance, duration, and activity type

3. Direct Import

   • Select any activity to analyze without downloading files
   • Seamless integration with the existing analysis tools
   • All the same charts and analysis features work with Strava data

4. Privacy-Focused

   • All processing happens in your browser
   • Only read access to your activities is requested
   • You can disconnect at any time

How to Set Up:

To use the Strava integration, you'll need to:

1. Create a Strava API application at https://www.strava.com/settings/api

2. Set the following environment variables:

   • NEXT_PUBLIC_STRAVA_CLIENT_ID: Your Strava API client ID
   • STRAVA_CLIENT_SECRET: Your Strava API client secret
3. Set the callback URL in your Strava API settings to: https://your-domain.com/api/strava/callback

Implementation Details:

• The integration uses Strava's REST API to fetch activities and streams data
• Activity data is converted to the same format used by the FIT file parser
• The UI provides a seamless experience whether you're uploading files or importing from Strava

This integration makes the application much more powerful and convenient for users who track their activities with Strava.

Please make sure to add the following environment variables to your project: