sneakyklaus/docs/designs/v0.1.0/data-model.md

Data Model - v0.1.0

Version: 0.1.0 Date: 2025-12-22 Status: Initial Design

Introduction

This document defines the complete database schema for Sneaky Klaus. The schema is designed for SQLite with SQLAlchemy ORM, optimized for read-heavy workloads with occasional writes, and structured to support all user stories in the product backlog.

Note: Session storage is managed by Flask-Session, which creates and manages its own session table. The custom Session table previously defined has been removed in favor of Flask-Session's implementation.

Entity Relationship Diagram

erDiagram
    Admin ||--o{ Exchange : creates
    Exchange ||--o{ Participant : contains
    Exchange ||--o{ ExclusionRule : defines
    Exchange ||--o{ NotificationPreference : configures
    Participant ||--o{ Match : "gives to"
    Participant ||--o{ Match : "receives from"
    Participant ||--o{ MagicToken : authenticates_with
    Participant }o--o{ ExclusionRule : excluded_from
    Exchange {
        int id PK
        string slug UK
        string name
        text description
        string budget
        int max_participants
        datetime registration_close_date
        datetime exchange_date
        string timezone
        string state
        datetime created_at
        datetime updated_at
        datetime completed_at
    }
    Admin {
        int id PK
        string email UK
        string password_hash
        datetime created_at
        datetime updated_at
    }
    Participant {
        int id PK
        int exchange_id FK
        string name
        string email
        text gift_ideas
        boolean reminder_enabled
        datetime created_at
        datetime updated_at
        datetime withdrawn_at
    }
    Match {
        int id PK
        int exchange_id FK
        int giver_id FK
        int receiver_id FK
        datetime created_at
    }
    ExclusionRule {
        int id PK
        int exchange_id FK
        int participant_a_id FK
        int participant_b_id FK
        datetime created_at
    }
    MagicToken {
        int id PK
        string token_hash UK
        string token_type
        string email
        int participant_id FK
        int exchange_id FK
        datetime created_at
        datetime expires_at
        datetime used_at
    }
    PasswordResetToken {
        int id PK
        string token_hash UK
        string email
        datetime created_at
        datetime expires_at
        datetime used_at
    }
    RateLimit {
        int id PK
        string key UK
        int attempts
        datetime window_start
        datetime expires_at
    }
    NotificationPreference {
        int id PK
        int exchange_id FK
        boolean new_registration
        boolean participant_withdrawal
        boolean matching_complete
        datetime created_at
        datetime updated_at
    }

Entity Definitions

Admin

The administrator account for the entire installation. Only one admin exists per deployment.

Table: admin

Column	Type	Constraints	Description
id	INTEGER	PRIMARY KEY	Auto-increment ID
email	VARCHAR(255)	UNIQUE, NOT NULL	Admin email address
password_hash	VARCHAR(255)	NOT NULL	bcrypt password hash
created_at	TIMESTAMP	NOT NULL, DEFAULT NOW	Account creation timestamp
updated_at	TIMESTAMP	NOT NULL, DEFAULT NOW	Last update timestamp

Indexes:

• idx_admin_email on email (unique)

Constraints:

• Email format validation at application level
• Only one admin record should exist (enforced at application level)

Notes:

• Password hash uses bcrypt with cost factor 12
• updated_at automatically updated on any modification

---

Exchange

Represents a single Secret Santa exchange event.

Table: exchange

Column	Type	Constraints	Description
id	INTEGER	PRIMARY KEY	Auto-increment ID
slug	VARCHAR(12)	UNIQUE, NOT NULL	URL-safe identifier for exchange
name	VARCHAR(255)	NOT NULL	Exchange name/title
description	TEXT	NULLABLE	Optional description
budget	VARCHAR(100)	NOT NULL	Gift budget (e.g., "$20-30")
max_participants	INTEGER	NOT NULL, CHECK >= 3	Maximum participant limit
registration_close_date	TIMESTAMP	NOT NULL	When registration ends
exchange_date	TIMESTAMP	NOT NULL	When gifts are exchanged
timezone	VARCHAR(50)	NOT NULL	Timezone for dates (e.g., "America/New_York")
state	VARCHAR(20)	NOT NULL	Current state (see states below)
created_at	TIMESTAMP	NOT NULL, DEFAULT NOW	Exchange creation timestamp
updated_at	TIMESTAMP	NOT NULL, DEFAULT NOW	Last update timestamp
completed_at	TIMESTAMP	NULLABLE	When exchange was marked complete

Indexes:

• idx_exchange_slug on slug (unique)
• idx_exchange_state on state
• idx_exchange_exchange_date on exchange_date
• idx_exchange_completed_at on completed_at

States (enum enforced at application level):

• draft: Exchange created but not accepting registrations
• registration_open: Participants can register
• registration_closed: Registration ended, ready for matching
• matched: Participants have been assigned recipients
• completed: Exchange date has passed

State Transitions:

• draft → registration_open
• registration_open → registration_closed
• registration_closed → registration_open (reopen)
• registration_closed → matched (after matching)
• matched → registration_open (reopen, clears matches)
• matched → completed

Constraints:

• registration_close_date must be before exchange_date (validated at application level)
• max_participants minimum value: 3
• Timezone must be valid IANA timezone (validated at application level)
• slug must be unique across all exchanges

Slug Generation:

• Generated on exchange creation using secrets.choice() from Python's secrets module
• 12 URL-safe alphanumeric characters (a-z, A-Z, 0-9)
• Immutable once generated (never changes)
• Used in public URLs for exchange registration and participant access

Cascade Behavior:

• Deleting exchange cascades to: participants, matches, exclusion rules, notification preferences

---

Participant

A person registered in a specific exchange.

Table: participant

Column	Type	Constraints	Description
id	INTEGER	PRIMARY KEY	Auto-increment ID
exchange_id	INTEGER	FOREIGN KEY → exchange.id, NOT NULL	Associated exchange
name	VARCHAR(255)	NOT NULL	Display name
email	VARCHAR(255)	NOT NULL	Email address
gift_ideas	TEXT	NULLABLE	Wishlist/gift preferences
reminder_enabled	BOOLEAN	NOT NULL, DEFAULT TRUE	Opt-in for reminder emails
created_at	TIMESTAMP	NOT NULL, DEFAULT NOW	Registration timestamp
updated_at	TIMESTAMP	NOT NULL, DEFAULT NOW	Last update timestamp
withdrawn_at	TIMESTAMP	NULLABLE	Withdrawal timestamp (soft delete)

Indexes:

• idx_participant_exchange_id on exchange_id
• idx_participant_email on email
• idx_participant_exchange_email on (exchange_id, email) (composite unique)

Constraints:

• Email must be unique within an exchange (composite unique index)
• Email format validation at application level
• Cannot modify after matching except gift_ideas and reminder_enabled (enforced at application level)

Cascade Behavior:

• Deleting exchange cascades to delete participants
• Deleting participant cascades to: matches (as giver or receiver), exclusion rules, magic tokens

Soft Delete:

• Withdrawal sets withdrawn_at instead of hard delete
• Withdrawn participants excluded from matching and participant lists
• Withdrawn participants cannot be re-activated (must re-register)

---

Match

Represents a giver-receiver assignment in an exchange.

Table: match

Column	Type	Constraints	Description
id	INTEGER	PRIMARY KEY	Auto-increment ID
exchange_id	INTEGER	FOREIGN KEY → exchange.id, NOT NULL	Associated exchange
giver_id	INTEGER	FOREIGN KEY → participant.id, NOT NULL	Participant giving gift
receiver_id	INTEGER	FOREIGN KEY → participant.id, NOT NULL	Participant receiving gift
created_at	TIMESTAMP	NOT NULL, DEFAULT NOW	Match creation timestamp

Indexes:

• idx_match_exchange_id on exchange_id
• idx_match_giver_id on giver_id
• idx_match_receiver_id on receiver_id
• idx_match_exchange_giver on (exchange_id, giver_id) (composite unique)

Constraints:

• Each participant can be a giver exactly once per exchange (composite unique)
• Each participant can be a receiver exactly once per exchange (enforced at application level)
• giver_id cannot equal receiver_id (no self-matching, enforced at application level)
• Both giver and receiver must belong to same exchange (enforced at application level)

Cascade Behavior:

• Deleting exchange cascades to delete matches
• Deleting participant cascades to delete matches (triggers re-match requirement)

Validation:

• All participants in exchange must have exactly one match as giver and one as receiver
• No exclusion rules violated (enforced during matching)

---

ExclusionRule

Defines pairs of participants who should not be matched together.

Table: exclusion_rule

Column	Type	Constraints	Description
id	INTEGER	PRIMARY KEY	Auto-increment ID
exchange_id	INTEGER	FOREIGN KEY → exchange.id, NOT NULL	Associated exchange
participant_a_id	INTEGER	FOREIGN KEY → participant.id, NOT NULL	First participant
participant_b_id	INTEGER	FOREIGN KEY → participant.id, NOT NULL	Second participant
created_at	TIMESTAMP	NOT NULL, DEFAULT NOW	Rule creation timestamp

Indexes:

• idx_exclusion_exchange_id on exchange_id
• idx_exclusion_participants on (exchange_id, participant_a_id, participant_b_id) (composite unique)

Constraints:

• participant_a_id and participant_b_id must be different (enforced at application level)
• Both participants must belong to same exchange (enforced at application level)
• Exclusion is bidirectional: A→B exclusion also means B→A (handled at application level)
• Prevent duplicate rules with swapped participant IDs (enforced by ordering IDs: participant_a_id < participant_b_id)

Cascade Behavior:

• Deleting exchange cascades to delete exclusion rules
• Deleting participant cascades to delete related exclusion rules

Application Logic:

• When adding exclusion, always store with lower ID as participant_a, higher ID as participant_b
• Matching algorithm treats exclusion as bidirectional

---

MagicToken

Time-limited tokens for participant passwordless authentication and admin password reset.

Table: magic_token

Column	Type	Constraints	Description
id	INTEGER	PRIMARY KEY	Auto-increment ID
token_hash	VARCHAR(255)	UNIQUE, NOT NULL	SHA-256 hash of token
token_type	VARCHAR(20)	NOT NULL	'magic_link' or 'password_reset'
email	VARCHAR(255)	NOT NULL	Email address token sent to
participant_id	INTEGER	FOREIGN KEY → participant.id, NULLABLE	For magic links only
exchange_id	INTEGER	FOREIGN KEY → exchange.id, NULLABLE	For magic links only
created_at	TIMESTAMP	NOT NULL, DEFAULT NOW	Token creation timestamp
expires_at	TIMESTAMP	NOT NULL	Token expiration (1 hour from creation)
used_at	TIMESTAMP	NULLABLE	When token was consumed

Indexes:

• idx_magic_token_hash on token_hash (unique)
• idx_magic_token_type_email on (token_type, email)
• idx_magic_token_expires_at on expires_at

Constraints:

• token_type must be 'magic_link' or 'password_reset' (enforced at application level)
• For magic_link: participant_id and exchange_id must be NOT NULL
• For password_reset: participant_id and exchange_id must be NULL
• Tokens expire 1 hour after creation
• Tokens are single-use (validated via used_at)

Token Generation:

• Token: 32-byte random value from secrets module, base64url encoded
• Hash: SHA-256 hash of token (stored in database)
• Original token sent in email, never stored

Validation:

• Token valid if: hash matches, not expired, not used
• On successful validation: set used_at timestamp, create session

Cleanup:

• Expired or used tokens purged hourly via background job

Cascade Behavior:

• Deleting participant cascades to delete magic tokens
• Deleting exchange cascades to delete related magic tokens

---

RateLimit

Tracks authentication attempt rate limits per email/key.

Table: rate_limit

Column	Type	Constraints	Description
id	INTEGER	PRIMARY KEY	Auto-increment ID
key	VARCHAR(255)	UNIQUE, NOT NULL	Rate limit key (e.g., "login:email@example.com")
attempts	INTEGER	NOT NULL, DEFAULT 0	Number of attempts in current window
window_start	TIMESTAMP	NOT NULL, DEFAULT NOW	Start of current rate limit window
expires_at	TIMESTAMP	NOT NULL	When rate limit resets

Indexes:

• idx_rate_limit_key on key (unique)
• idx_rate_limit_expires_at on expires_at

Rate Limit Policies:

• Admin login: 5 attempts per 15 minutes per email
• Participant magic link: 3 requests per hour per email
• Password reset: 3 requests per hour per email

Key Format:

• Admin login: login:admin:{email}
• Magic link: magic_link:{email}
• Password reset: password_reset:{email}

Workflow:

1. Check if key exists and within window
2. If attempts exceeded: reject request
3. If within limits: increment attempts
4. If window expired: reset attempts and window

Cleanup:

• Expired rate limit entries purged daily via background job

---

NotificationPreference

Admin's email notification preferences per exchange or globally.

Table: notification_preference

Column	Type	Constraints	Description
id	INTEGER	PRIMARY KEY	Auto-increment ID
exchange_id	INTEGER	FOREIGN KEY → exchange.id, NULLABLE	Specific exchange (NULL = global default)
new_registration	BOOLEAN	NOT NULL, DEFAULT TRUE	Notify on new participant registration
participant_withdrawal	BOOLEAN	NOT NULL, DEFAULT TRUE	Notify on participant withdrawal
matching_complete	BOOLEAN	NOT NULL, DEFAULT TRUE	Notify on successful matching
created_at	TIMESTAMP	NOT NULL, DEFAULT NOW	Preference creation timestamp
updated_at	TIMESTAMP	NOT NULL, DEFAULT NOW	Last update timestamp

Indexes:

• idx_notification_exchange_id on exchange_id (unique)

Constraints:

• Only one notification preference per exchange (unique index)
• Only one global preference (exchange_id = NULL)

Application Logic:

• If exchange-specific preference exists, use it
• Otherwise, fall back to global preference
• If no preferences exist, default all to TRUE

Cascade Behavior:

• Deleting exchange cascades to delete notification preferences

---

Data Types & Conventions

Timestamps

• Type: TIMESTAMP (SQLite stores as ISO 8601 string)
• Timezone: All timestamps stored in UTC
• Application Layer: Convert to exchange timezone for display
• Automatic Fields: created_at, updated_at managed by SQLAlchemy

Email Addresses

• Type: VARCHAR(255)
• Validation: RFC 5322 format validation at application level
• Storage: Lowercase normalized
• Indexing: Indexed for lookup performance

Enumerations

SQLite doesn't support native enums. Enforced at application level:

ExchangeState:

• draft
• registration_open
• registration_closed
• matched
• completed

UserType (Session):

• admin
• participant

TokenType (MagicToken):

• magic_link
• password_reset

JSON Fields

• Type: TEXT (SQLite)
• Serialization: JSON string
• Access: SQLAlchemy JSON type provides automatic serialization/deserialization
• Usage: Session data, future extensibility

Boolean Fields

• Type: BOOLEAN (SQLite stores as INTEGER: 0 or 1)
• Default: Explicit defaults defined per field
• Access: SQLAlchemy Boolean type handles conversion

---

Performance Optimization

Indexes Summary

Table	Index Name	Columns	Type	Purpose
admin	idx_admin_email	email	UNIQUE	Login lookup
exchange	idx_exchange_slug	slug	UNIQUE	Exchange lookup by slug
exchange	idx_exchange_state	state	INDEX	Filter by state
exchange	idx_exchange_exchange_date	exchange_date	INDEX	Auto-completion job
exchange	idx_exchange_completed_at	completed_at	INDEX	Purge job
participant	idx_participant_exchange_id	exchange_id	INDEX	List participants
participant	idx_participant_email	email	INDEX	Lookup by email
participant	idx_participant_exchange_email	exchange_id, email	UNIQUE	Email uniqueness per exchange
match	idx_match_exchange_id	exchange_id	INDEX	List matches
match	idx_match_giver_id	giver_id	INDEX	Lookup giver's match
match	idx_match_receiver_id	receiver_id	INDEX	Lookup receivers
match	idx_match_exchange_giver	exchange_id, giver_id	UNIQUE	Prevent duplicate givers
exclusion_rule	idx_exclusion_exchange_id	exchange_id	INDEX	List exclusions
exclusion_rule	idx_exclusion_participants	exchange_id, participant_a_id, participant_b_id	UNIQUE	Prevent duplicates
magic_token	idx_magic_token_hash	token_hash	UNIQUE	Token validation
magic_token	idx_magic_token_type_email	token_type, email	INDEX	Rate limit checks
magic_token	idx_magic_token_expires_at	expires_at	INDEX	Cleanup job
rate_limit	idx_rate_limit_key	key	UNIQUE	Rate limit lookup
rate_limit	idx_rate_limit_expires_at	expires_at	INDEX	Cleanup job
notification_preference	idx_notification_exchange_id	exchange_id	UNIQUE	Preference lookup

Query Optimization Strategies

1. Eager Loading: Use SQLAlchemy joinedload() for relationships to prevent N+1 queries
2. Batch Operations: Use bulk insert/update for matching operations
3. Filtered Queries: Always filter by exchange_id first (most selective)
4. Connection Pooling: Disabled for SQLite (single file, no benefit)
5. WAL Mode: Enabled for better read concurrency

SQLite Configuration

# Connection string
DATABASE_URL = 'sqlite:///data/sneaky-klaus.db'

# Pragmas (set on connection)
PRAGMA journal_mode = WAL;          # Write-Ahead Logging
PRAGMA foreign_keys = ON;            # Enforce foreign keys
PRAGMA synchronous = NORMAL;         # Balance safety and performance
PRAGMA temp_store = MEMORY;          # Temporary tables in memory
PRAGMA cache_size = -64000;          # 64MB cache

---

Data Validation Rules

Exchange

• name: 1-255 characters, required
• slug: Exactly 12 URL-safe alphanumeric characters, auto-generated, unique
• budget: 1-100 characters, required (freeform text)
• max_participants: ≥ 3, required
• registration_close_date < exchange_date: validated at application level
• timezone: Valid IANA timezone name

Participant

• name: 1-255 characters, required
• email: Valid email format, unique per exchange
• gift_ideas: 0-10,000 characters (optional)

Match

• Validation at matching time:
  • All participants have exactly one match (as giver and receiver)
  • No self-matches
  • No exclusion rules violated
  • Single cycle preferred

ExclusionRule

• participant_a_id < participant_b_id: enforced when creating
• Both participants must be in same exchange
• Cannot exclude participant from themselves

MagicToken

• Token expiration: 1 hour from creation
• Single use only
• Token hash must be unique

---

Audit Trail

Change Tracking

• All tables have created_at timestamp
• Most tables have updated_at timestamp (auto-updated)
• Soft deletes used where appropriate (withdrawn_at for participants)

Future Audit Enhancements

If detailed audit trail is needed:

• Create audit_log table
• Track: entity type, entity ID, action, user, timestamp, changes
• Trigger-based or application-level logging

---

Migration Strategy

Initial Schema Creation

Use Alembic for database migrations:

# Create initial migration
alembic revision --autogenerate -m "Initial schema"

# Apply migration
alembic upgrade head

Schema Versioning

• Alembic tracks migration version in alembic_version table
• Each schema change creates new migration file
• Migrations can be rolled back if needed

Future Schema Changes

When adding fields or tables:

1. Create Alembic migration
2. Test migration on copy of production database
3. Run migration during deployment
4. Update SQLAlchemy models

---

Sample Data Relationships

Example: Complete Exchange Flow

1. Exchange Created (state: draft)

   • 1 exchange record created

2. Registration Opens (state: registration_open)

   • Exchange state updated
   • Participants register (3-100 participant records)

3. Registration Closes (state: registration_closed)

   • Exchange state updated
   • Admin adds exclusion rules (0-N exclusion_rule records)

4. Matching Occurs (state: matched)

   • Exchange state updated
   • Match records created (N matches for N participants)
   • Magic tokens created for notifications

5. Exchange Completes (state: completed)

   • Exchange state updated
   • completed_at timestamp set
   • 30-day retention countdown begins

6. Data Purge (30 days after completion)

   • Exchange deleted (cascades to participants, matches, exclusions)

---

Database Size Estimates

Assumptions

• 50 exchanges per installation
• Average 20 participants per exchange
• 3 exclusion rules per exchange
• 30-day retention = 5 active exchanges + 5 completed

Storage Calculation

Entity	Records	Avg Size	Total
Admin	1	500 B	500 B
Exchange	50	1 KB	50 KB
Participant	1,000	2 KB	2 MB
Match	1,000	200 B	200 KB
ExclusionRule	150	200 B	30 KB
Flask-Session (managed)	50	500 B	25 KB
MagicToken	200	500 B	100 KB
RateLimit	100	300 B	30 KB
NotificationPreference	50	300 B	15 KB

Total Estimated Size: ~3 MB (excluding indexes and overhead)

With Indexes & Overhead: ~10 MB typical, ~50 MB maximum

SQLite database file size well within acceptable limits for self-hosted deployment.

---

Backup & Recovery

Backup Strategy

Database File Location: /app/data/sneaky-klaus.db

Backup Methods:

1. Volume Snapshot: Recommended for Docker deployments

   docker run --rm -v sneaky-klaus-data:/data -v $(pwd):/backup \
     alpine tar czf /backup/sneaky-klaus-backup-$(date +%Y%m%d).tar.gz /data
   

2. SQLite Backup Command: Online backup without downtime

   sqlite3 sneaky-klaus.db ".backup sneaky-klaus-backup.db"
   

3. File Copy: Requires application shutdown

   docker stop sneaky-klaus
   cp /app/data/sneaky-klaus.db /backups/
   docker start sneaky-klaus
   

Backup Frequency: Daily (automated via cron or external backup tool)

Retention: 30 days of backups

Recovery Procedure

1. Stop application container
2. Replace database file with backup
3. Restart application
4. Verify health endpoint
5. Test basic functionality (login, view exchanges)

---

Constraints Summary

Foreign Key Relationships

Child Table	Column	Parent Table	Parent Column	On Delete
participant	exchange_id	exchange	id	CASCADE
match	exchange_id	exchange	id	CASCADE
match	giver_id	participant	id	CASCADE
match	receiver_id	participant	id	CASCADE
exclusion_rule	exchange_id	exchange	id	CASCADE
exclusion_rule	participant_a_id	participant	id	CASCADE
exclusion_rule	participant_b_id	participant	id	CASCADE
magic_token	participant_id	participant	id	CASCADE
magic_token	exchange_id	exchange	id	CASCADE
notification_preference	exchange_id	exchange	id	CASCADE

Flask-Session: Managed by Flask-Session extension (no foreign keys in application schema)

RateLimit: No foreign keys (key-based, not entity-based)

Unique Constraints

• admin.email: UNIQUE
• exchange.slug: UNIQUE
• participant.(exchange_id, email): UNIQUE (composite)
• match.(exchange_id, giver_id): UNIQUE (composite)
• exclusion_rule.(exchange_id, participant_a_id, participant_b_id): UNIQUE (composite)
• magic_token.token_hash: UNIQUE
• rate_limit.key: UNIQUE
• notification_preference.exchange_id: UNIQUE (one preference per exchange)

Check Constraints

• exchange.max_participants >= 3
• Application-level validation for additional constraints (state transitions, date ordering, etc.)

---

Future Schema Enhancements

Potential additions for future versions:

1. Audit Log Table: Track all changes for compliance/debugging
2. Email Queue Table: Decouple email sending from transactional operations
3. Participant Groups: Support for couple/family groupings (exclude from each other automatically)
4. Multiple Admins: Add admin roles and permissions
5. Exchange Templates: Reusable exchange configurations
6. Custom Fields: User-defined participant attributes

These enhancements would require schema changes but are out of scope for v0.1.0.

---

References

• SQLAlchemy Documentation
• SQLite Documentation
• Alembic Documentation
• ADR-0001: Core Technology Stack
• ADR-0002: Authentication Strategy