chore: initial project setup

Initialize Sneaky Klaus project with:
- uv package management and pyproject.toml
- Flask application structure (app.py, config.py)
- SQLAlchemy models for Admin and Exchange
- Alembic database migrations
- Pre-commit hooks configuration
- Development tooling (pytest, ruff, mypy)

Initial structure follows design documents in docs/:
- src/app.py: Application factory with Flask extensions
- src/config.py: Environment-based configuration
- src/models/: Admin and Exchange models
- migrations/: Alembic migration setup

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
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2025-12-22 11:28:15 -07:00
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# 0001. Core Technology Stack
Date: 2025-12-22
## Status
Accepted (Updated 2025-12-22)
## Context
Sneaky Klaus is a self-hosted Secret Santa organization application designed for individuals, families, and small organizations who want full control over their data. The application must be:
- Easy to self-host via containerization
- Simple to deploy and maintain
- Minimal in external dependencies
- Suitable for small-scale usage (dozens of participants, not thousands)
- Functional without complex infrastructure
Key requirements that inform technology choices:
1. **Self-hosting first**: Users should be able to deploy with a single container
2. **Simplicity**: The tech stack should be straightforward and well-documented
3. **No participant accounts**: Authentication must support passwordless magic links
4. **Email delivery**: Must send transactional emails reliably
5. **Background jobs**: Must handle scheduled tasks (reminders, data purging)
6. **Data persistence**: Must store user data reliably but doesn't need high-scale database features
## Decision
We will use the following core technology stack:
| Component | Technology | Version Constraint |
|-----------|------------|-------------------|
| **Backend Framework** | Flask | ^3.0 |
| **Language** | Python | ^3.11 |
| **Database** | SQLite | ^3.40 (via Python stdlib) |
| **Email Service** | Resend | Latest SDK |
| **Deployment** | Docker | Latest |
| **Package Manager** | uv | Latest |
| **Background Jobs** | APScheduler | ^3.10 |
| **Template Engine** | Jinja2 | ^3.1 (Flask default) |
| **WSGI Server** | Gunicorn | ^21.0 (production) |
| **Form Handling** | Flask-WTF (includes WTForms) | ^1.2 |
| **Session Management** | Flask-Session | ^0.8 |
| **Timezone Validation** | pytz | Latest |
| **CSS Framework** | Pico CSS | Latest (via CDN) |
### Key Technology Rationale
**Flask**: Lightweight, well-documented, excellent for small-to-medium applications. Large ecosystem, straightforward patterns, and no unnecessary complexity.
**Python 3.11+**: Modern Python with performance improvements, excellent type hinting support, and active security support.
**SQLite**: Perfect for self-hosted applications. Zero-configuration, single-file database, excellent for read-heavy workloads with occasional writes. Eliminates need for separate database server.
**Resend**: Modern transactional email API with excellent deliverability, simple API, and reasonable pricing for small-scale usage.
**Docker**: Industry-standard containerization. Single container deployment simplifies self-hosting significantly.
**uv**: Fast, modern Python package manager and project manager. Significantly faster than pip, with better dependency resolution and lockfile support.
**APScheduler**: In-process job scheduling. Eliminates need for separate job queue infrastructure (Redis, Celery) while still supporting background tasks like reminder emails and data purging.
**Jinja2**: Flask's default templating engine. Server-side rendering eliminates need for frontend JavaScript framework, simplifying deployment and maintenance.
**Gunicorn**: Production-ready WSGI server for Flask applications. Well-tested, stable, and appropriate for the scale of this application.
**Flask-WTF**: Integrates WTForms with Flask, providing form validation, CSRF protection, and secure form handling. Industry-standard for Flask applications.
**Flask-Session**: Server-side session management for Flask. Stores session data in SQLite, providing secure session handling without client-side storage concerns.
**pytz**: Standard Python library for timezone validation and handling. Required for validating IANA timezone names in exchange configurations.
**Pico CSS**: Minimal, classless CSS framework delivered via CDN. Provides clean, semantic styling without requiring a build step or complex class names. Fully responsive and accessible out of the box.
### Frontend Approach
**Pure server-side rendering** with Jinja2 templates. No JavaScript framework (React, Vue, etc.). This decision:
- Eliminates build tooling complexity
- Reduces deployment artifacts (no separate frontend bundle)
- Simplifies security (no client-side state management)
- Ensures full functionality without JavaScript enabled
- Maintains mobile-friendliness through responsive CSS
Progressive enhancement with minimal JavaScript for interactivity (copy-to-clipboard, form validation) is acceptable but not required for core functionality.
## Consequences
### Positive
- **Simple deployment**: Single container with no external service dependencies (except Resend for email)
- **Low resource requirements**: SQLite and in-process job scheduling minimize memory and CPU usage
- **Fast development**: Flask's simplicity and Jinja2's straightforward templating accelerate development
- **Easy debugging**: All code runs in single process, simplifying troubleshooting
- **Predictable performance**: Server-side rendering is fast and consistent
- **No build step**: Templates render directly; no frontend compilation required
- **Security by default**: Server-side rendering reduces attack surface compared to client-side SPAs
- **Excellent for scale target**: Perfect for dozens to hundreds of participants per deployment
### Negative
- **SQLite limitations**: Not suitable if application needs to scale to thousands of concurrent users (not a concern for target use case)
- **No horizontal scaling**: Single SQLite file prevents multi-instance deployment (acceptable trade-off for simplicity)
- **Email vendor lock-in**: Resend is the only supported email provider (could be abstracted later if needed)
- **APScheduler constraints**: Job scheduling tied to application process lifetime; jobs don't survive application restarts (acceptable for reminder scheduling)
- **Less interactive UI**: Server-side rendering means no SPA-style instant interactivity (acceptable trade-off for simplicity)
### Neutral
- **Python expertise required**: Development requires Python knowledge (expected for Flask application)
- **Database portability**: SQLite schema could be migrated to PostgreSQL if scaling needs change, but would require development effort
- **Email testing**: Requires Resend account for development (free tier available) or mocking in tests
## Implementation Notes
### Database Considerations
SQLite will be configured with:
- WAL (Write-Ahead Logging) mode for better concurrency
- Foreign keys enabled
- Appropriate timeout for locked database scenarios
- Regular backups recommended via volume mounts
### Job Scheduling Considerations
APScheduler will run in-process with:
- JobStore backed by SQLite for job persistence across restarts (for scheduled jobs)
- Executor using thread pool for background tasks
- Misfire grace time configured appropriately for reminders
### Email Configuration
Resend integration will:
- Store API key in environment variable (not in code)
- Support template-based emails
- Handle failures gracefully with logging
- Rate limit appropriately
### Development vs Production
- **Development**: Flask development server, SQLite in local file
- **Production**: Gunicorn with multiple workers, SQLite in mounted volume, proper logging
## Alternatives Considered
### Database Alternatives
**PostgreSQL**: More scalable but requires separate database container/service, significantly complicating self-hosting. Overkill for target scale.
**MySQL/MariaDB**: Same drawbacks as PostgreSQL for this use case.
### Job Queue Alternatives
**Celery + Redis**: More robust job processing but requires Redis container, significantly complicating deployment. Overkill for reminder emails and daily data purging tasks.
**Cron + separate script**: Could work but fragments application logic and complicates deployment.
### Email Service Alternatives
**SendGrid**: Viable alternative but more complex API and pricing structure.
**Amazon SES**: Requires AWS account and more complex setup. Higher barrier for self-hosters.
**SMTP**: Requires users to configure their own SMTP server, significantly increasing setup complexity and deliverability issues.
### Frontend Alternatives
**React/Vue SPA**: Considered but rejected. Would require build tooling, increase deployment complexity, and provide minimal benefit for the application's relatively simple UI needs.
**HTMX**: Considered for progressive enhancement. May be added later but not required for MVP.
## References
- Flask documentation: https://flask.palletsprojects.com/
- SQLite documentation: https://www.sqlite.org/docs.html
- Resend documentation: https://resend.com/docs
- APScheduler documentation: https://apscheduler.readthedocs.io/
- uv documentation: https://docs.astral.sh/uv/

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# 0002. Authentication Strategy
Date: 2025-12-22
## Status
Accepted
## Context
Sneaky Klaus has two distinct user types with different authentication needs:
1. **Administrator**: Single admin account for entire installation. Needs persistent access to manage exchanges. Must be able to recover access if password is forgotten.
2. **Participants**: Multiple participants across multiple exchanges. Should have frictionless authentication without password management burden. Same participant may join multiple exchanges using same email.
Key requirements:
- **Security**: Authentication must be secure and follow best practices
- **Simplicity for participants**: No password required; minimal friction to access information
- **Admin control**: Admin needs traditional authenticated session for management tasks
- **Password recovery**: Admin must be able to recover access via email
- **Session management**: Sessions should persist appropriately but expire for security
- **Email verification**: Participant email addresses must be verified (implicit via magic link)
## Decision
We will implement a **dual authentication strategy**:
### Admin Authentication: Password-Based
**Login Flow**:
1. Admin enters email and password
2. Password hashed with bcrypt, compared to stored hash
3. On success, session created with admin role
4. Session cookie set with appropriate security flags
**Password Requirements**:
- Minimum 12 characters
- No complexity requirements (no mandatory special chars, numbers, etc.)
- This follows modern NIST guidance: length matters more than complexity
**Password Recovery Flow**:
1. Admin requests password reset from login page
2. System sends time-limited reset token (1 hour expiration) to admin email
3. Reset link directs to password reset form
4. Token validated, new password set
5. Token invalidated after single use
**Session Management**:
- Server-side sessions stored in database or cache
- 7-day sliding expiration window (extends on activity)
- Secure, HTTP-only session cookies
- SameSite=Lax for CSRF protection
- Logout explicitly destroys session
### Participant Authentication: Magic Links
**Magic Link Flow**:
1. Participant requests access (from registration page or email)
2. System generates cryptographically random token (256-bit)
3. Token stored in database with 1-hour expiration
4. Email sent with magic link: `/participant/auth/{token}`
5. Clicking link validates token and creates session
6. Token invalidated after single use
**Session Management**:
- Server-side sessions stored in database
- 7-day sliding expiration window (extends on activity)
- Secure, HTTP-only session cookies
- SameSite=Lax for CSRF protection
- Sessions scoped to participant's exchanges only
- No explicit logout needed (session expires naturally)
**Token Generation**:
- Use Python's `secrets` module for cryptographic randomness
- Tokens are 32-byte random values, URL-safe base64 encoded
- Tokens stored as hashed values in database (using SHA-256)
- Original token never stored in plain text
### Security Measures
**Password Storage**:
- bcrypt with cost factor 12 (adjustable)
- Passwords never logged or exposed in error messages
- Password reset tokens hashed before storage
**Session Security**:
- Session IDs are cryptographically random
- Sessions stored server-side (not client-side JWTs)
- Session data includes: user ID, role (admin/participant), creation time, last activity
- Cookie flags: `Secure=True` (HTTPS only), `HttpOnly=True`, `SameSite=Lax`
**Rate Limiting**:
- Login attempts: 5 per email per 15 minutes
- Magic link requests: 3 per email per hour
- Password reset requests: 3 per email per hour
- Implemented at application level, tracked in database or cache
**Token Expiration**:
- Magic link tokens: 1 hour
- Password reset tokens: 1 hour
- Admin sessions: 7 days (sliding window)
- Participant sessions: 7 days (sliding window)
## Consequences
### Positive
- **Participant convenience**: No password to remember; access via email
- **Email verification**: Magic links implicitly verify participant email addresses
- **Admin security**: Traditional password-based auth provides familiar security model
- **Password recovery**: Admin can self-serve password reset without external support
- **Sliding sessions**: Activity extends session, reducing re-authentication friction
- **Security best practices**: Modern password requirements (length over complexity)
- **CSRF protection**: SameSite cookies prevent cross-site request forgery
- **Token security**: One-time-use tokens prevent replay attacks
### Negative
- **Email dependency**: Magic links require working email delivery (mitigated by Resend reliability)
- **Token expiration UX**: 1-hour expiration may frustrate slow email checkers (acceptable trade-off for security)
- **Session storage**: Server-side sessions require database/cache storage (minimal overhead)
- **No remember-me for admin**: 7-day max session requires re-login (acceptable for security)
### Neutral
- **Dual auth complexity**: Maintaining two auth flows adds implementation complexity (necessary for different user needs)
- **Rate limiting overhead**: Requires tracking attempts per user (minimal performance impact)
- **Session cleanup**: Expired sessions must be periodically purged (handled via background job)
## Implementation Details
### Database Schema
**Admin User**:
```python
class Admin(Model):
id: int
email: str (unique, indexed)
password_hash: str
created_at: datetime
updated_at: datetime
```
**Participant** (simplified for auth):
```python
class Participant(Model):
id: int
email: str (indexed)
exchange_id: int (foreign key)
# ... other fields
```
**Session**:
```python
class Session(Model):
id: str (session ID, primary key)
user_id: int
user_type: str ('admin' | 'participant')
created_at: datetime
last_activity: datetime
expires_at: datetime
data: JSON (optional additional session data)
```
**Auth Token** (magic links and password reset):
```python
class AuthToken(Model):
id: int
token_hash: str (indexed)
token_type: str ('magic_link' | 'password_reset')
email: str
participant_id: int (nullable, for magic links)
exchange_id: int (nullable, for magic links)
created_at: datetime
expires_at: datetime
used_at: datetime (nullable)
```
**Rate Limit**:
```python
class RateLimit(Model):
id: int
key: str (e.g., "login:admin@example.com", indexed)
attempts: int
window_start: datetime
expires_at: datetime
```
### Flask Session Configuration
```python
app.config['SESSION_TYPE'] = 'sqlalchemy' # Server-side sessions
app.config['SESSION_PERMANENT'] = True
app.config['PERMANENT_SESSION_LIFETIME'] = timedelta(days=7)
app.config['SESSION_COOKIE_SECURE'] = True # HTTPS only
app.config['SESSION_COOKIE_HTTPONLY'] = True
app.config['SESSION_COOKIE_SAMESITE'] = 'Lax'
app.config['SESSION_REFRESH_EACH_REQUEST'] = True # Sliding window
```
### Authentication Decorators
```python
@login_required # Requires any authenticated user
@admin_required # Requires admin role
@participant_required # Requires participant role
```
### URL Structure
**Admin**:
- `/admin/login` - Login form
- `/admin/logout` - Logout
- `/admin/forgot-password` - Request password reset
- `/admin/reset-password/{token}` - Reset password form
**Participant**:
- `/participant/auth/{token}` - Magic link endpoint
- `/participant/logout` - Optional logout
## Alternatives Considered
### OAuth/Social Login
**Rejected**: Adds external dependencies, complicates self-hosting, and provides minimal benefit for a self-hosted application where users control the deployment.
### JWT Tokens
**Rejected for sessions**: JWTs are stateless, making them difficult to invalidate (e.g., on logout or security incident). Server-side sessions provide better control.
**Considered for magic links**: Could use JWTs for magic links, but custom tokens are simpler and equally secure.
### Passkeys/WebAuthn
**Deferred**: Modern and secure but adds implementation complexity. Could be added in future version for admin auth.
### Email Verification Codes
**Rejected**: 6-digit codes are less secure than magic links and require users to manually copy/paste, reducing convenience.
### Participant Passwords
**Rejected**: Violates core principle of frictionless participant experience. Participants joining Secret Santa events shouldn't need to manage yet another password.
### Longer Magic Link Expiration
**Rejected**: 1 hour balances security with usability. Longer expiration increases risk if email account is compromised.
### Shorter Session Duration
**Considered**: 24-hour sessions would be more secure but require frequent re-authentication. 7-day sliding window balances security with convenience.
## Security Considerations
### Password Reset Token Timing Attack
To prevent email enumeration via timing attacks:
- Always show "If an account exists, you'll receive an email" message
- Perform same-time operations regardless of email existence
- Don't reveal whether email is registered
### Magic Link Security
- Tokens are single-use and time-limited
- Token hashing prevents database compromise from exposing valid tokens
- Rate limiting prevents brute force token guessing
- Tokens scoped to specific participant and exchange
### Session Fixation Prevention
- New session ID generated on login
- Old session destroyed on logout
- Session ID rotated on privilege elevation
### Brute Force Protection
- Rate limiting on all auth endpoints
- Progressive delays on repeated failures (optional enhancement)
- Account lockout not implemented (single admin, participant magic links)
## Future Enhancements
Potential improvements for future versions:
1. **Admin 2FA**: Time-based OTP for additional admin security
2. **Passkeys**: WebAuthn support for passwordless admin auth
3. **Session device tracking**: Show admin active sessions and allow revocation
4. **Remember-me for admin**: Optional extended session with re-authentication for sensitive actions
5. **Magic link preview protection**: Use confirmation step before activating magic link
## References
- NIST Password Guidelines: https://pages.nist.gov/800-63-3/sp800-63b.html
- OWASP Authentication Cheat Sheet: https://cheatsheetseries.owasp.org/cheatsheets/Authentication_Cheat_Sheet.html
- Flask Session Management: https://flask.palletsprojects.com/en/latest/quickstart/#sessions
- Python secrets module: https://docs.python.org/3/library/secrets.html