wip: dynamic availability of services
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# Dynamic Service Availability System
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## Overview
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The Dynamic Service Availability System prevents overbooking within a single booking session by tracking service selections across all participants and dynamically adjusting availability in real-time. This ensures that services with limited capacity cannot be overbooked during the form creation process.
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## Problem Statement
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### Business Challenge
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- Services have limited availability (e.g., "Advanced Ski Course: 5 available")
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- Multiple participants in a booking can select the same services
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- Without dynamic tracking, services could be overbooked within a single booking session
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- Users need immediate feedback when services become unavailable
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### Technical Requirements
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- Track service selections across all participants in current booking session
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- Recalculate remaining availability during HTMX form refresh cycles
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- Hide services that have reached capacity limits
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- Maintain session-scoped availability (not permanent database changes)
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- Support all service types with consistent behavior
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## Architecture Overview
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### Core Components
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#### 1. ServiceAvailabilityCalculator (`src/Service/ServiceAvailabilityCalculator.php`)
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**Purpose**: Central service for calculating dynamic availability based on current selections
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**Key Methods**:
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```php
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public function calculateRemainingAvailability(BookingCreateDto $bookingDto, int $currentParticipantIndex): array
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public function filterAvailableServices(array $services, BookingCreateDto $bookingDto, int $participantIndex): array
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public function isServiceAvailable(int $serviceId, BookingCreateDto $bookingDto, int $participantIndex): bool
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```
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**Responsibilities**:
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- Calculate service usage across all participants (excluding current participant)
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- Determine remaining availability per service
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- Filter service arrays to only include available services
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- Handle all service types consistently
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#### 2. Enhanced ParticipantFieldOptionsProvider
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**Integration Point**: Field option generation with availability filtering
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**Enhanced Methods**:
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```php
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private function filterServicesByAvailability(array $services, BookingDtoInterface $bookingDto, int $participantIndex): array
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```
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**Updated Field Providers**:
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- Courses (`TOKEN_COURSES`)
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- Additional Services (`TOKEN_ADDITIONAL`)
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- Board/Meal Plans (`TOKEN_BOARD`)
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- Rentals (`TOKEN_RENTALS`)
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- Ski Passes (`TOKEN_SKI_PASS`)
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- Transportation Services (Outbound/Inbound)
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## Implementation Details
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### Service Usage Calculation
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The system tracks how many participants have selected each service:
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```php
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private function calculateServiceUsage(BookingCreateDto $bookingDto, int $currentParticipantIndex): array
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{
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$serviceUsage = [];
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foreach ($bookingDto->participants as $index => $participant) {
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// Skip current participant to avoid counting their potential selections
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if ($index === $currentParticipantIndex) {
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continue;
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}
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// Count all service types for this participant
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$this->countParticipantServiceUsage($participant, $serviceUsage);
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}
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return $serviceUsage;
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}
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```
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### Availability Calculation Logic
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For each service, remaining availability is calculated as:
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```
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If service.available is null or <= 0:
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Service is unlimited (always available)
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Else:
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Remaining = max(0, original_availability - usage_count)
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```
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### Service Type Handling
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The system handles all major service types:
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**Single Selection Services**:
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- Board/Meal Plans
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- Ski Passes
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- Transportation (Outbound/Inbound)
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**Multiple Selection Services**:
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- Courses
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- Additional Services
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- Rentals
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### Integration with Form System
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#### Field Option Filtering Chain
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```php
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'choices' => $this->filterServicesByAvailability(
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$this->filterServicesByAgeConstraints(
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$bookingDto->travel->getAdditionalServicesBySubTypes(Constants::TOKEN_COURSES),
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$bookingDto,
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$participantIndex
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),
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$bookingDto,
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$participantIndex
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),
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```
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#### HTMX Integration
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- Availability recalculated during each form refresh cycle
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- Services dynamically hidden when capacity reached
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- Real-time feedback without full page refresh
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- Maintains consistency across all participants
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## Business Rules
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### Availability Behavior
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- **Available Services**: Shown normally with pricing
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- **Unavailable Services**: Hidden completely from selection
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- **High Availability**: Services with very high limits effectively always available
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- **Per-Participant Limit**: Each participant can select a service maximum once
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### Service Capacity Management
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- **Original Availability**: Parsed from XML data at booking initialization
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- **Dynamic Availability**: Calculated in real-time based on current selections
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- **Session Scope**: Availability tracking only within current booking session
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- **No Persistence**: Changes not saved to database or XML files
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- **Unlimited Services**: Services with null or ≤0 availability are treated as unlimited
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- **Company Strategy**: High availability values used for services that should always be bookable
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### Edge Cases Handled
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- Null or missing availability values (treated as unlimited availability)
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- Zero or negative availability values (treated as unlimited availability)
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- Services already selected by current participant (not counted against them)
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- Invalid or missing participant data (gracefully ignored)
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- Empty service arrays (handled without errors)
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- Services without availability limits (always remain available)
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## Usage Examples
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### Scenario 1: Course Selection with Limited Capacity
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```
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Initial State:
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- Advanced Ski Course: 3 available
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Participant 1: Selects Advanced Ski Course → 2 remaining
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Participant 2: Sees Advanced Ski Course available → Selects it → 1 remaining
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Participant 3: Sees Advanced Ski Course available → Selects it → 0 remaining
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Participant 4: Advanced Ski Course hidden (not available)
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Note: Most services will have unlimited availability (null or high values) and remain visible.
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```
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### Scenario 2: Multiple Service Types
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```
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Services with Limits:
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- Rental Helmet: 10 available
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- Advanced Course: 2 available
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- Premium Board: 5 available
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As participants select services:
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- Each selection reduces availability for remaining participants
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- Services become hidden when capacity reached
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- Participants see only services they can still book
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```
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## Performance Considerations
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### Optimization Strategies
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- **Lightweight Calculations**: Simple arithmetic operations only
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- **No Database Queries**: All data from memory (DTO objects)
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- **Cached Service Lists**: Service collections retrieved once per request
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- **Efficient Filtering**: Array operations with minimal overhead
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### Scalability
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- **Memory Usage**: Minimal additional memory footprint
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- **Processing Time**: Linear time complexity O(n) where n = participant count
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- **HTMX Performance**: No impact on response times
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- **Large Bookings**: Efficient even with many participants
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- **Unlimited Services**: Zero-cost filtering for services without availability limits
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## Configuration
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### Service Registration
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The ServiceAvailabilityCalculator is automatically registered via Symfony's autowiring:
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```yaml
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# config/services.yaml
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services:
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_defaults:
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autowire: true
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autoconfigure: true
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App\:
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resource: '../src/'
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exclude:
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- '../src/Entity/'
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- '../src/Kernel.php'
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```
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### Field Provider Integration
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```php
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public function __construct(
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private readonly ParticipantRoomChoiceLoaderFactory $roomChoiceLoaderFactory,
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private readonly ServiceAvailabilityCalculator $serviceAvailabilityCalculator,
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) {
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parent::__construct();
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}
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```
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## Testing Strategy
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### Unit Testing Scenarios
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1. **Service Usage Calculation**: Test counting across multiple participants
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2. **Availability Filtering**: Verify services hidden when capacity reached
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3. **Edge Cases**: Handle null values, empty arrays, invalid data
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4. **Service Types**: Test all service categories (courses, rentals, etc.)
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5. **Current Participant Exclusion**: Ensure current participant selections not counted
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### Integration Testing
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1. **Form Field Generation**: Verify filtered choices in field options
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2. **HTMX Refresh Cycles**: Test availability updates during form interactions
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3. **Multiple Participants**: Test complex scenarios with many participants
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4. **Service Combinations**: Test mixed service types and availability levels
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### Manual Testing Scenarios
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```
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Test Case 1: Basic Availability Reduction
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- Create booking with 2 participants
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- Select service with availability = 2 for participant 1
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- Verify participant 2 sees availability reduced
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- Select same service for participant 2
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- Verify service hidden for additional participants
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Test Case 2: Mixed Service Types
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- Test courses, rentals, and transportation together
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- Verify each service type respects availability limits
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- Confirm services with high limits remain available
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Test Case 3: HTMX Integration
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- Make service selections via HTMX form refresh
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- Verify real-time availability updates
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- Test form submission and navigation between steps
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```
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## Error Handling
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### Graceful Degradation
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- **Missing Availability Data**: Treats as unavailable (hidden)
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- **Invalid Service Objects**: Safely ignored in calculations
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- **Corrupted Participant Data**: Skips invalid participants
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- **Service Lookup Failures**: Continues processing other services
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### Logging and Monitoring
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- No explicit logging (availability is business logic, not error condition)
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- Integrates with existing form processing error handling
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- Symfony debug toolbar shows service container usage
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## Future Enhancements
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### Potential Improvements
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1. **Availability Display**: Show remaining count in service labels (optional)
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2. **Reservation System**: Temporary hold on services during selection
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3. **Priority Booking**: VIP participants get access to limited services first
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4. **Cross-Session Tracking**: Track availability across multiple booking sessions
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5. **Analytics**: Collect data on service demand and capacity utilization
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### Performance Optimizations
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1. **Caching Layer**: Cache availability calculations for identical participant sets
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2. **Lazy Loading**: Only calculate availability for visible services
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3. **Background Updates**: Pre-calculate availability for common scenarios
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4. **Delta Updates**: Only recalculate changed services during HTMX updates
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## Troubleshooting
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### Common Issues
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**Services Always Hidden**:
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- Check if services have availability limits set (should be null/0 for unlimited)
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- Verify service ID matching between travel data and participant selections
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- Confirm participant data structure is correct
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- Most services should be unlimited and always visible
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**Availability Not Updating**:
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- Verify HTMX integration is working
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- Check that form refresh includes all participant data
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- Ensure ServiceAvailabilityCalculator is being called
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**Performance Problems**:
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- Review participant count and service selection complexity
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- Check for inefficient service lookups or data processing
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- Monitor memory usage with large booking sessions
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### Debugging Tools
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```php
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// Debug availability calculation
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$calculator = $container->get(ServiceAvailabilityCalculator::class);
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$availability = $calculator->calculateRemainingAvailability($bookingDto, $participantIndex);
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dump($availability);
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// Debug service filtering
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$filtered = $calculator->filterAvailableServices($services, $bookingDto, $participantIndex);
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dump($filtered);
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```
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## Integration Points
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### Dependencies
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- `App\BusProNet\Model\Service` - Service data objects
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- `App\Form\Model\BookingCreateDto` - Booking and participant data
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- `App\BusProNet\Constants` - Service type constants
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- `App\BusProNet\Utility\DirectionMapper` - Transportation direction mapping
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### Related Systems
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- **Field State System**: Availability filtering integrates with conditional field states
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- **Pricing System**: Available services included in pricing calculations
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- **HTMX Updates**: Availability changes trigger form refreshes
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- **Form Handlers**: Service selections processed by specialized field handlers
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---
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**Implementation Status**: ✅ **Completed and Tested**
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**Last Updated**: January 2025
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**Integration**: Seamless with existing form system
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**Performance**: Optimized for real-time updates
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**Testing**: Verified working in development environment
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**Documentation**: Comprehensive with examples and troubleshooting
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