v2: Program research, Groq extraction, and workout tracking (REVIEW — not deployed)

Backend:
- New models: ProgramCatalog, CatalogWorkout, CrawlQueue, WorkoutLog
- Program.py: added catalog_id, current_week, current_day columns
- program_research.py: ttp-crawler integration, Groq Llama 3.3 70B extraction, known sources map, validation
- crawl_scheduler.py: priority queue with off-peak/weekend scheduling
- catalog.py router: research, catalog browse, adopt, schedule, complete, progress endpoints
- Points: 75pts/workout, 50pts weekly bonus, 200pts completion bonus
- config.py: added groq_api_key setting
- main.py: catalog router, background scheduler, v2 migration

Frontend:
- ProgramSearch.jsx: search, research submission, catalog browsing, adopt programs
- ProgramDetail.jsx: schedule view, today's workout, completion modal, progress tracking
- App.jsx: Programs nav tab, new routes
- api.js: catalog and tracking API functions

Config:
- docker-compose.yml: GROQ_API_KEY env var

NOT DEPLOYED — requires Groq API key and Scot review

docker-compose.yml

@@ -22,6 +22,7 @@ services:
       - STRAVA_CLIENT_SECRET=d1e48251327a3760acd6dcf4129ec59350dc6b71
       - POLAR_CLIENT_ID=13c4d547-4056-4b55-8412-a1cce84e887e
       - POLAR_CLIENT_SECRET=29890119-2267-4a72-8888-e67ab0c0bf60
+      - GROQ_API_KEY=${GROQ_API_KEY}
       - BASE_URL=https://fitness.littlefake.com
     depends_on:
       fitness-db: