# Data Model: Mock GDS MCP Server

**Branch**: `001-mock-gds-server` | **Date**: 2026-04-07

## Overview

This document defines the core data entities, their relationships, validation rules, and state transitions for the Mock GDS MCP server.

## Core Entities

### 1. Session

Represents an MCP client connection with isolated booking context.

**Fields**:
```typescript
{
  id: string;              // Unique session identifier (UUID)
  createdAt: number;       // Unix timestamp (ms)
  expiresAt: number;       // Unix timestamp (ms), TTL-based
  lastActivity: number;    // Unix timestamp (ms)
  bookingCount: number;    // Number of bookings created in session
  searchCount: number;     // Number of searches performed
}
```

**Storage**: Valkey hash at key `gds:session:{sessionId}`

**Validation**:
- `id` must be valid UUID v4
- `expiresAt` must be > `createdAt`
- Automatic expiry via Valkey TTL (default 1 hour)

**State Transitions**:
```
[Created] → [Active] → [Expired]
          ↓
       [Ended]
```

### 2. Passenger

Represents a traveler in a booking.

**Fields**:
```typescript
{
  id: string;              // Unique within booking
  type: enum;              // 'adult' | 'child' | 'infant'
  firstName: string;       // Required
  lastName: string;        // Required
  dateOfBirth: string;     // ISO 8601 date (YYYY-MM-DD), optional
  email: string;           // Email address, optional
  phone: string;           // Phone number, optional
  frequentFlyerNumber: string;  // Airline loyalty number, optional
}
```

**Validation**:
- `firstName`, `lastName` must be 1-50 characters, alphabetic + spaces/hyphens
- `email` must match RFC 5322 pattern if provided
- `phone` must match E.164 pattern if provided
- `type` must be valid enum value

### 3. FlightSegment

Represents a single flight leg in an itinerary.

**Fields**:
```typescript
{
  id: string;              // Unique segment identifier
  flightNumber: string;    // e.g., "AA123"
  airlineCode: string;     // IATA 2-letter code (e.g., "AA")
  airlineName: string;     // Full airline name
  originCode: string;      // IATA 3-letter airport code (e.g., "JFK")
  originName: string;      // Airport name
  destinationCode: string; // IATA 3-letter airport code
  destinationName: string; // Airport name
  departureTime: string;   // ISO 8601 datetime
  arrivalTime: string;     // ISO 8601 datetime
  duration: number;        // Minutes
  aircraftType: string;    // e.g., "Boeing 737-800"
  cabin: enum;             // 'economy' | 'premium_economy' | 'business' | 'first'
  price: number;           // USD cents (e.g., 29900 = $299.00)
  seatsAvailable: number;  // Available seats count
  bookingClass: string;    // Fare class code (e.g., "Y", "J", "F")
  status: enum;            // 'available' | 'sold_out' | 'cancelled'
}
```

**Validation**:
- `airlineCode` must be valid IATA 2-letter code
- `originCode`, `destinationCode` must be valid IATA 3-letter codes
- `originCode` ≠ `destinationCode`
- `departureTime` < `arrivalTime`
- `duration` must match calculated time difference
- `seatsAvailable` must be >= 0
- `price` must be > 0

**Business Rules**:
- Flight times must be realistic for route (e.g., JFK→LAX ~6 hours)
- Prices scale with distance and cabin class
- sold_out status when seatsAvailable = 0

### 4. HotelReservation

Represents a hotel booking segment.

**Fields**:
```typescript
{
  id: string;              // Unique reservation identifier
  hotelCode: string;       // Internal hotel identifier
  hotelName: string;       // Hotel property name
  chainCode: string;       // Hotel chain code (e.g., "MAR" for Marriott)
  chainName: string;       // Hotel chain name
  address: string;         // Full address
  cityCode: string;        // IATA city code (e.g., "LAX")
  cityName: string;        // City name
  checkInDate: string;     // ISO 8601 date (YYYY-MM-DD)
  checkOutDate: string;    // ISO 8601 date (YYYY-MM-DD)
  nights: number;          // Calculated night count
  roomType: string;        // e.g., "Standard King", "Deluxe Suite"
  rateCode: string;        // Rate plan code
  starRating: number;      // 1-5 stars
  price: number;           // USD cents, total for stay
  pricePerNight: number;   // USD cents
  guestCount: number;      // Number of guests
  amenities: string[];     // List of amenities
  status: enum;            // 'available' | 'sold_out' | 'confirmed' | 'cancelled'
}
```

**Validation**:
- `checkInDate` < `checkOutDate`
- `nights` must equal date difference
- `starRating` must be 1-5
- `guestCount` must be >= 1
- `price` must equal `pricePerNight` * `nights`

**Business Rules**:
- Check-in date must not be in the past
- Minimum 1 night stay
- Prices vary by star rating and city

### 5. CarRental

Represents a car rental segment.

**Fields**:
```typescript
{
  id: string;              // Unique rental identifier
  companyCode: string;     // Rental company code (e.g., "ZE" for Hertz)
  companyName: string;     // Company name
  pickupLocationCode: string;  // Airport code or location ID
  pickupLocationName: string;  // Location name
  dropoffLocationCode: string; // Airport code or location ID
  dropoffLocationName: string; // Location name
  pickupDate: string;      // ISO 8601 datetime
  dropoffDate: string;     // ISO 8601 datetime
  vehicleClass: enum;      // 'economy' | 'compact' | 'midsize' | 'fullsize' | 'suv' | 'luxury'
  vehicleModel: string;    // e.g., "Toyota Camry or similar"
  dailyRate: number;       // USD cents per day
  totalPrice: number;      // USD cents
  rentalDays: number;      // Number of days
  mileagePolicy: enum;     // 'unlimited' | 'limited'
  insuranceIncluded: boolean;
  status: enum;            // 'available' | 'confirmed' | 'cancelled'
}
```

**Validation**:
- `pickupDate` < `dropoffDate`
- `rentalDays` must match date calculation
- `totalPrice` must equal `dailyRate` * `rentalDays`
- `pickupLocationCode` should match airport/city code for traveler's destination

**Business Rules**:
- Same-location dropoff preferred (one-way rentals add surcharge)
- Pickup date should align with flight arrival
- Dropoff date should align with departure flight

### 6. PNR (Passenger Name Record)

Represents a complete booking with multiple service segments.

**Fields**:
```typescript
{
  pnr: string;             // Unique booking reference (format: TEST-{BASE32})
  sessionId: string;       // Session that created the booking
  createdAt: number;       // Unix timestamp (ms)
  lastModified: number;    // Unix timestamp (ms)
  status: enum;            // 'pending' | 'confirmed' | 'cancelled'
  passengers: Passenger[]; // Array of passengers
  flights: FlightSegment[]; // Array of flight segments
  hotels: HotelReservation[]; // Array of hotel bookings
  cars: CarRental[];       // Array of car rentals
  totalPrice: number;      // USD cents, sum of all segments
  currency: string;        // Always "USD" for mock data
  contactEmail: string;    // Primary contact email
  contactPhone: string;    // Primary contact phone
}
```

**Storage**: Valkey hash at key `gds:session:{sessionId}:booking:{pnr}`

**Validation**:
- `pnr` must match format `TEST-[A-Z0-9]{6}`
- Must have at least one passenger
- Must have at least one service (flight, hotel, or car)
- `totalPrice` must equal sum of all segment prices
- `contactEmail` or `contactPhone` required (at least one)

**State Transitions**:
```
[Pending] → [Confirmed] → [Cancelled]
           ↓
       [Modified] → [Confirmed]
```

**Business Rules**:
- Cannot modify after cancellation
- Hotel dates must overlap with flight dates
- Car pickup should align with flight arrival
- Multi-city bookings require connecting flights

### 7. SearchQuery

Represents a search request (flights, hotels, or cars).

**Fields**:
```typescript
{
  id: string;              // Unique search identifier
  sessionId: string;       // Session performing search
  type: enum;              // 'flight' | 'hotel' | 'car'
  timestamp: number;       // Unix timestamp (ms)
  parameters: object;      // Type-specific search params
  resultCount: number;     // Number of results returned
  responseTime: number;    // Milliseconds to generate results
}
```

**Storage**: Ephemeral (not persisted), tracked for statistics only

### 8. MockDataRecord

Represents a static mock data entry (airports, airlines, hotels, etc.).

**Fields**:
```typescript
{
  type: enum;              // 'airport' | 'airline' | 'hotel' | 'car_company'
  code: string;            // IATA/ICAO code or internal ID
  name: string;            // Full name
  metadata: object;        // Type-specific data (coordinates, address, etc.)
}
```

**Storage**: In-memory JavaScript modules, not in Valkey

## Relationships

### Session ↔ PNR
- **Type**: One-to-Many
- **Description**: A session can create multiple bookings
- **Key**: `sessionId` in PNR references Session
- **Cascade**: PNRs remain accessible after session expires (for retrieval)

### PNR ↔ Passengers
- **Type**: One-to-Many
- **Description**: A booking contains multiple passengers
- **Embedded**: Passengers stored within PNR document
- **Constraint**: Minimum 1 passenger per PNR

### PNR ↔ FlightSegments
- **Type**: One-to-Many
- **Description**: A booking can include multiple flight legs
- **Embedded**: Flights stored within PNR document
- **Ordering**: Flights ordered chronologically

### PNR ↔ HotelReservations
- **Type**: One-to-Many
- **Description**: A booking can include multiple hotel stays
- **Embedded**: Hotels stored within PNR document

### PNR ↔ CarRentals
- **Type**: One-to-Many
- **Description**: A booking can include multiple car rentals
- **Embedded**: Cars stored within PNR document

## Data Validation Rules

### Cross-Entity Validation

1. **Date Consistency**:
   - Hotel check-in must be >= flight arrival date
   - Hotel check-out must be <= return flight departure date
   - Car pickup must be >= flight arrival date
   - Car dropoff must be <= return flight departure date

2. **Location Consistency**:
   - Hotel city should match flight destination
   - Car pickup location should match airport or destination city

3. **Passenger Consistency**:
   - All segments in a PNR share the same passenger list
   - Passenger count must match across segments

4. **Pricing Integrity**:
   - PNR total must equal sum of all segment prices
   - Segment prices must be positive integers

### Validation Timing

- **Search-time**: Parameter validation (dates, codes, counts)
- **Booking-time**: Business rule validation (date logic, location consistency)
- **Retrieval-time**: PNR format validation
- **Modification-time**: State transition validation (no modification of cancelled bookings)

## Mock Data Generation Rules

### Deterministic Generation

- Same search inputs → same results (when MOCK_DATA_SEED=fixed)
- PNR generation uses session-scoped sequence + timestamp hash
- Flight schedules fixed based on route (JFK→LAX always ~6 hours)

### Realistic Constraints

- Flight prices: $200-$800 domestic economy, $800-$2000 business, $2500+ first
- Hotel prices: $80-$150 budget, $150-$300 midrange, $300-$800 luxury
- Car rental: $35-$50 economy, $50-$80 midsize, $100-$150 luxury
- Flight duration: Calculated from route distance
- Availability: 90% flights available, 10% sold out

### Data Coverage

- **Airports**: ~100 major airports (top 50 US + top 50 international)
- **Airlines**: ~30 major carriers
- **Hotels**: ~50 chains/properties across major cities
- **Car Companies**: ~6 major rental companies

## State Management (Valkey)

### Key Naming Convention

```
gds:session:{sessionId}                     # Session metadata
gds:session:{sessionId}:booking:{pnr}       # Individual booking
gds:session:{sessionId}:bookings            # Set of all PNRs in session
gds:session:{sessionId}:searches            # List of search IDs
gds:stats:bookings:total                    # Global booking counter
gds:stats:sessions:active                   # Set of active session IDs
```

### TTL Strategy

- **Sessions**: 1 hour (configurable via MCP_SESSION_TIMEOUT)
- **Bookings**: No expiry (persist beyond session for retrieval)
- **Search history**: 10 minutes (ephemeral)

### Data Serialization

- **Format**: JSON strings for complex objects
- **Encoding**: UTF-8
- **Compression**: None (mock data is small)

## Performance Considerations

### Memory Footprint

- **Per Session**: ~5KB (metadata only)
- **Per Booking**: ~10-30KB (depends on segment count)
- **Mock Data**: ~2MB (embedded in code, not in Valkey)

### Query Patterns

- **Hot Path**: `GET gds:session:{sessionId}:booking:{pnr}` (booking retrieval)
- **Write Path**: `HSET gds:session:{sessionId}:booking:{pnr}` (booking creation)
- **Cleanup**: `SCAN` + `DEL` for expired sessions (background job)

### Indexing

No secondary indexes required - all queries use primary keys (sessionId, pnr)

## Next Steps

Proceed to contract definition (Phase 1 continued):
- Define MCP tool schemas in `/contracts/mcp-tools.md`
- Create quickstart guide with example usage