✅ Task 1.1 - Project Foundation Setup: - Repository structure with Python packaging (setup.py, pyproject.toml) - Development dependencies and requirements - Contributing guidelines and MIT license - GitHub workflows for CI/CD (test.yml, release.yml) - Issue and PR templates for community contributions - Comprehensive project documentation ✅ Task 1.2 - Core Client Structure: - wikijs package with proper module organization - Core client class foundation in client.py - Exception hierarchy for error handling - Base model classes and page models - Type checking support (py.typed) - Utility modules and helper functions 📊 Progress: Phase 1 MVP Development now 40% complete 🎯 Next: Task 1.3 - Authentication System implementation 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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Wiki.js Python SDK - Architecture Overview
Version: 1.0.0
Status: MVP Design Phase
Date: July 2025
📋 Executive Summary
Project Vision
Create a professional Python SDK for Wiki.js that provides intuitive API access, robust error handling, and enterprise-grade features through a clean, extensible architecture.
Core Objectives
- Developer Experience: Intuitive, well-documented API
- Reliability: Built-in retry logic and graceful error handling
- Performance: Efficient resource management and caching
- Maintainability: Clean architecture with comprehensive testing
🏗️ High-Level Architecture
System Overview
graph TB
subgraph "Client Applications"
A[Python Scripts]
B[Web Applications]
C[CLI Tools]
end
subgraph "SDK Core"
D[WikiJS Client]
E[Authentication]
F[Configuration]
end
subgraph "API Endpoints"
G[Pages API]
H[Users API]
I[Groups API]
J[Assets API]
end
subgraph "Infrastructure"
K[HTTP Client]
L[Error Handling]
M[Caching Layer]
end
subgraph "External"
N[Wiki.js Server]
end
A --> D
B --> D
C --> D
D --> E
D --> F
D --> G
D --> H
D --> I
D --> J
G --> K
H --> K
I --> K
J --> K
K --> L
K --> M
K --> N
Architecture Principles
1. Separation of Concerns
- Authentication isolated from API communication
- Clear boundaries between endpoint handlers and HTTP transport
- Modular design allowing independent testing
2. Dependency Inversion
- Abstract interfaces for HTTP clients and authentication
- Pluggable components for caching and configuration
- Easily mockable dependencies for testing
3. Fail-Fast & Graceful Degradation
- Early validation of inputs and configuration
- Comprehensive error handling with meaningful messages
- Graceful handling of network failures
🔧 Core Components
WikiJS Client
class WikiJSClient:
"""Main client for Wiki.js API interactions"""
def __init__(self, base_url: str, auth: AuthHandler, config: ClientConfig = None)
# Properties
.pages # Pages API endpoint
.users # Users API endpoint
.groups # Groups API endpoint
.assets # Assets API endpoint
Responsibilities:
- Central coordination of all API operations
- Authentication and configuration management
- HTTP request/response handling
- Error propagation and logging
Authentication System
class AuthHandler(ABC):
"""Abstract authentication interface"""
def get_headers(self) -> Dict[str, str]
def is_valid(self) -> bool
def refresh(self) -> None
class APIKeyAuth(AuthHandler):
"""API key authentication implementation"""
class JWTAuth(AuthHandler): # Future
"""JWT token authentication implementation"""
Design Features:
- Pluggable authentication strategies
- Automatic token refresh for JWT
- Header management abstraction
API Endpoints
class BaseEndpoint:
"""Base functionality for all API endpoints"""
class PagesEndpoint(BaseEndpoint):
"""Pages API operations"""
def list(self, limit: int = 50) -> List[Page]
def get(self, page_id: int) -> Page
def create(self, page_data: PageCreate) -> Page
def update(self, page_id: int, **kwargs) -> Page
def delete(self, page_id: int) -> bool
Design Features:
- Consistent interface across all endpoints
- Type-safe request/response models
- Built-in validation and error handling
Data Models
class BaseModel(Pydantic.BaseModel):
"""Base model with validation and serialization"""
class Page(BaseModel):
id: int
title: str
path: str
content: str
created_at: datetime
updated_at: datetime
# Business logic methods
@property
def word_count(self) -> int
def to_markdown(self) -> str
Design Features:
- Pydantic-based validation
- Rich domain models with business logic
- Automatic serialization/deserialization
📊 Data Flow
Request Flow
sequenceDiagram
participant App as Application
participant Client as WikiJS Client
participant Auth as Auth Handler
participant HTTP as HTTP Client
participant API as Wiki.js API
App->>Client: pages.get(123)
Client->>Auth: get_headers()
Auth-->>Client: {"Authorization": "Bearer..."}
Client->>HTTP: request(GET, /api/pages/123)
HTTP->>API: HTTP Request
API-->>HTTP: 200 OK + Data
HTTP-->>Client: Response Data
Client-->>App: Page Object
Error Handling Flow
flowchart TD
A[API Request] --> B{HTTP Status}
B -->|200-299| C[Success Response]
B -->|400-499| D[Client Error]
B -->|500-599| E[Server Error]
B -->|Timeout| F[Network Error]
D --> G[ValidationError]
E --> H[APIError]
F --> I[ConnectionError]
G --> J[Log & Return Error]
H --> J
I --> J
C --> K[Parse & Return Data]
🗂️ Project Structure
Directory Layout
wikijs-python-sdk/
├── wikijs/ # Main package
│ ├── __init__.py # Package entry point
│ ├── client.py # Main client class
│ ├── exceptions.py # Exception hierarchy
│ ├── models/ # Data models
│ │ ├── __init__.py
│ │ ├── base.py # Base model
│ │ └── page.py # Page model
│ ├── auth/ # Authentication
│ │ ├── __init__.py
│ │ ├── base.py # Auth interface
│ │ └── api_key.py # API key auth
│ ├── endpoints/ # API endpoints
│ │ ├── __init__.py
│ │ ├── base.py # Base endpoint
│ │ └── pages.py # Pages API
│ └── utils/ # Utilities
│ ├── __init__.py
│ └── helpers.py # Helper functions
├── tests/ # Test suite
├── docs/ # Documentation
└── examples/ # Usage examples
Module Responsibilities
| Module | Purpose | Key Classes |
|---|---|---|
client.py |
Main SDK interface | WikiJSClient |
exceptions.py |
Error handling | WikiJSException, APIError |
models/ |
Data structures | Page, User, Group |
auth/ |
Authentication | AuthHandler, APIKeyAuth |
endpoints/ |
API operations | PagesEndpoint, UsersEndpoint |
utils/ |
Helper functions | Validation, serialization |
🔌 Extensibility Design
Plugin Architecture (Future)
class Plugin(ABC):
"""Plugin interface for SDK extensions"""
def before_request(self, request: Request) -> Request
def after_response(self, response: Response) -> Response
class CachePlugin(Plugin):
"""Caching functionality as a plugin"""
class MetricsPlugin(Plugin):
"""Metrics collection as a plugin"""
Configuration System
@dataclass
class ClientConfig:
# Connection settings
base_url: str
timeout: int = 30
verify_ssl: bool = True
# Features
cache_enabled: bool = False
retry_enabled: bool = True
# Advanced
plugins: List[Plugin] = field(default_factory=list)
🚀 Development Phases
Phase 1: MVP (Current)
- ✅ Core client with HTTP transport
- ✅ API key authentication
- ✅ Pages API with full CRUD
- ✅ Basic error handling
- ✅ Type-safe models
Phase 2: Essential Features
- Users, Groups, Assets APIs
- Enhanced error handling with context
- Configuration management system
- Basic CLI interface
Phase 3: Production Ready
- Retry logic with exponential backoff
- Caching system with multiple backends
- Rate limiting and circuit breaker
- Performance monitoring
Phase 4: Enterprise Grade
- Async support with asyncio
- Plugin architecture
- Advanced authentication (JWT, OAuth2)
- Comprehensive CLI with interactive mode
🎯 Design Decisions
Technology Choices
| Component | Technology | Rationale |
|---|---|---|
| HTTP Client | requests |
Industry standard, reliable, well-documented |
| Validation | pydantic |
Type safety, automatic validation, great DX |
| Testing | pytest |
Powerful, flexible, extensive plugin ecosystem |
| CLI | click + rich |
User-friendly, feature-rich, beautiful output |
| Async | aiohttp |
Native asyncio support, high performance |
Key Architectural Decisions
- Synchronous First: Start with sync API, add async later
- Type Safety: Full type hints and runtime validation
- Modular Design: Clear separation of concerns
- Configuration: Support both programmatic and file-based config
- Error Handling: Comprehensive hierarchy with actionable messages
📈 Quality Standards
Code Quality
- Type Coverage: 100% type hints on public APIs
- Test Coverage: >90% line coverage maintained
- Documentation: All public methods documented
- Code Style: Black + isort + flake8 compliance
Performance Targets
- Cold Start: <100ms import time
- Request Latency: <50ms overhead per request
- Memory Usage: <50MB for typical workloads
- Throughput: >1000 req/s with connection pooling
Security
- No hardcoded credentials or secrets
- Input validation on all user data
- Secure defaults for all configuration
- Regular dependency security scanning
For detailed implementation specifications, see Technical Specifications
For development tasks and coordination, see CLAUDE.md