Releases
v1.3.0
Compare
Sorry, something went wrong.
No results found
New Features
Fisher Performance Analytics
NEW export_fishers_stats() - Comprehensive fisher performance analysis and export
Integrates catch events from tracks-app with GPS tracking data from PDS API
Matches fisher-reported landings with automated trip tracking by date and device
Calculates fishing efficiency metrics: CPUE (kg/hour, kg/km), search efficiency ratios
Estimates fuel consumption and catch per liter efficiency
Categorizes trips by distance (nearshore, mid-range, offshore)
Exports aggregated fisher statistics and trip-level performance metrics to MongoDB
Automated Workflows
ENHANCED GitHub Actions data pipeline workflow
Added export-fishers-stats job to automated pipeline
Runs after track preprocessing to ensure data availability
Automatically exports fisher performance data on every pipeline run
Development Experience
NEW .Rprofile - Interactive environment switching for local development
Added helper functions: use_prod(), use_local(), use_default()
Visual environment indicator on R session startup
Quick commands reference displayed in interactive sessions
Simplified testing across different configuration profiles
Configuration Updates
MongoDB Collections
ENHANCED tracks-app MongoDB configuration in inst/conf.yml
Added fishers-stats collection for aggregated fisher summaries
Added fishers-performance collection for trip-level efficiency metrics
You can’t perform that action at this time.