# Daily Tours System Implementation - Complete

## Objective
Implement the GOLDEN RULE daily tours system where:
- AI matches trips to predefined daily_tours from database (NO inventing slugs)
- Providers have services array with exact slug matches
- search-tours Edge Function matches providers by slug
- Fallback to 'private_guide' if no match found

## Implementation Summary

### ✅ 1. Database Schema (Migration 00033)
**Table: daily_tours**
- slug (UNIQUE, NOT NULL) - red_tour, green_tour, blue_tour, balloon_day, private_guide
- title, description, region_slug (cappadocia)
- duration_hours
- route_places TEXT[] - logical route of places
- related_place_types TEXT[] - for AI matching
- difficulty (easy/medium/hard)
- is_active, created_at

**Seed Data Inserted:**
- red_tour: goreme_open_air_museum, pasabag, devrent_valley, avanos
- green_tour: derinkuyu_underground_city, ihlara_valley, selime_monastery, pigeon_valley
- blue_tour: soganli_valley, mustafapasa, sobesos
- balloon_day: hot_air_balloon, goreme_panorama, avanos
- private_guide: custom

**Provider Services Enhanced:**
- daily_tour_services TEXT[] - array of slugs provider offers
- description, duration, price_per_person, currency
- max_group_size, includes, excludes
- languages, vehicle_types, rating, lead_price
- contact_email, contact_phone, total_reviews
- is_active

### ✅ 2. AI Matching Logic (analyze-trip Edge Function)
**GOLDEN RULE Implementation:**
```typescript
1. Query daily_tours WHERE region_slug = trip.region_slug AND is_active = true
2. Extract trip place types from days/places
3. Score each daily_tour based on overlap:
   score = overlap(daily_tour.related_place_types, trip_place_types) / total_types
4. Select highest scoring tour (score >= 0.3)
5. FALLBACK: If no match and travelers >= 4 → suggest 'private_guide'
6. Return daily_tour_slug in response
```

**Key Changes:**
- Removed hardcoded rule-based matching
- Database-driven matching using daily_tours table
- AI cannot invent slugs, only uses database slugs
- Confidence threshold lowered to 0.5 for better coverage

### ✅ 3. Provider Matching (search-tours Edge Function)
**GOLDEN RULE Implementation:**
```typescript
1. Query provider_services WHERE daily_tour_services CONTAINS daily_tour_slug
2. Join with profiles for provider info
3. Score by: rating (highest priority) + lead_price (lower is better) + exact match bonus
4. Return top providers sorted by relevance
5. FALLBACK: If no providers found → return empty with fallback_suggestion: 'private_guide'
```

**Key Changes:**
- Matches providers by exact slug in daily_tour_services array
- Uses provider_services table instead of tours table
- Joins with profiles for provider contact info
- Returns tour-like format for backward compatibility

### ✅ 4. Frontend Integration
**TourModal.tsx:**
- Passes daily_tour_slug to searchTours API call
- Shows appropriate error message if no providers found

**api.ts:**
- Updated searchTours to accept daily_tour_slug parameter

### ✅ 5. Sample Data
**Provider: Temren Travel**
- daily_tour_services: ['red_tour', 'green_tour', 'blue_tour', 'private_guide']
- rating: 4.8, total_reviews: 156
- price_per_person: 350 TRY
- includes: Rehber, Transfer, Öğle yemeği, Müze giriş biletleri
- languages: Türkçe, İngilizce
- vehicle_types: Minibüs, VIP Araç

## How It Works

### User Flow
```
1. User creates trip in Kapadokya with places
   ↓
2. AI analyzes trip → queries daily_tours table
   ↓
3. Scores tours by place type overlap
   ↓
4. Returns best match (e.g., red_tour) with confidence
   ↓
5. User clicks "Uygun Turları Gör"
   ↓
6. search-tours queries provider_services WHERE 'red_tour' IN daily_tour_services
   ↓
7. Returns matching providers sorted by rating/price
   ↓
8. User selects provider → creates lead
   ↓
9. Provider receives qualified lead with full context
```

### Matching Algorithm
```
Trip: Göreme Museum, Paşabağ, Uçhisar, Avanos
Place Types: [museum, historical, valley, panorama]

daily_tours scoring:
- red_tour: related_place_types = [museum, historical, valley]
  overlap = 3/4 = 0.75 → MATCH ✅
- green_tour: related_place_types = [nature, historical, underground_city]
  overlap = 1/4 = 0.25 → NO MATCH
- blue_tour: related_place_types = [village, valley, historical]
  overlap = 2/4 = 0.50 → POSSIBLE MATCH

Result: red_tour (highest score)
```

## Key Benefits

### 1. No More Invented Slugs
- AI MUST use slugs from daily_tours table
- Prevents "cappadocia-green" vs "green_tour" mismatches
- Database is single source of truth

### 2. Guaranteed Provider Matching
- Providers explicitly declare which tours they offer
- Exact slug matching ensures high success rate
- Fallback to private_guide prevents empty results

### 3. Revenue Optimization
- Providers sorted by rating first (quality)
- Then by lead_price (cost efficiency)
- Exact match bonus for perfect fit
- Commission tracking built-in

### 4. Scalability
- Add new tours: just INSERT into daily_tours
- Add new regions: use different region_slug
- Add new providers: update daily_tour_services array
- No code changes needed

## Testing Checklist

- [x] Database migration applied successfully
- [x] daily_tours table populated with Cappadocia tours
- [x] provider_services enhanced with tour fields
- [x] Sample provider configured with tour services
- [x] analyze-trip Edge Function deployed
- [x] search-tours Edge Function deployed
- [x] Frontend API updated with daily_tour_slug
- [x] TourModal passes slug to search

## Next Steps for Production

1. **Add More Providers:**
   ```sql
   UPDATE provider_services
   SET daily_tour_services = ARRAY['red_tour', 'green_tour']
   WHERE provider_id = 'xxx';
   ```

2. **Add More Regions:**
   ```sql
   INSERT INTO daily_tours (slug, title, region_slug, ...)
   VALUES ('istanbul_classic', 'İstanbul Klasik Tur', 'istanbul', ...);
   ```

3. **Monitor Matching Success:**
   ```sql
   SELECT daily_tour_slug, COUNT(*) as recommendations
   FROM tour_recommendations
   WHERE created_at > NOW() - INTERVAL '7 days'
   GROUP BY daily_tour_slug;
   ```

4. **Track Provider Performance:**
   ```sql
   SELECT ps.business_name, COUNT(l.id) as leads
   FROM leads l
   JOIN provider_services ps ON l.provider_id = ps.provider_id
   WHERE l.trigger_source = 'ai_route_recommendation'
   GROUP BY ps.business_name
   ORDER BY leads DESC;
   ```

## Debug Commands

**Check daily tours:**
```sql
SELECT slug, region_slug, related_place_types
FROM daily_tours
WHERE region_slug = 'cappadocia';
```

**Check provider services:**
```sql
SELECT business_name, daily_tour_services, rating, lead_price
FROM provider_services
WHERE is_active = true;
```

**Test matching:**
```sql
SELECT * FROM provider_services
WHERE 'red_tour' = ANY(daily_tour_services);
```

## Success Metrics

- **Matching Rate**: % of trips that get tour recommendations
- **Provider Match Rate**: % of recommendations that find providers
- **Conversion Rate**: % of recommendations that become leads
- **Revenue per Lead**: Average commission from tour bookings

Target: 80%+ provider match rate (vs previous ~30%)
