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Pancake - Decorator-driven Python web framework with IoC, MyBatis ORM, and AI workflow

Project description

Pancake Framework

A decorator-driven Python web framework with IoC, MyBatis-style ORM, and AI workflow integration.

Python License PyPI CI FastAPI

中文文档

Features

  • Zero Import — All decorators and services auto-injected into builtins
  • Decorator-Driven — Register controllers, mappers, services with simple decorators
  • CLI Toolpancake create/run/check/build/plugin/config/audit
  • MyBatis Plus ORM — Async ORM with CRUD, @Select/@Insert, dynamic SQL, chain queries
  • FastAPI Web — Controllers, filter chain (Spring Security-style), auth, middleware, WebSocket
  • IoC Container — Singleton, transient, scoped dependency injection
  • AI Module — Unified LLM client (OpenAI/DeepSeek/Gemini/Ollama), memory, RAG
  • Redis Cache@cached with anti-penetration/avalanche/breakdown protection
  • Message Queue — Event-driven with SimpleBroker and RedisBroker
  • Remote Calls — HTTP and gRPC via @remote_node
  • Lifecycle — Init/start/stop/error hooks for components
  • Plugin System — Auto-discovery, init-order control, external plugin dirs

Quick Start

pip install pancake_framework
pancake create myapp && cd myapp
pancake run

Server starts at http://127.0.0.1:8080. Health check at /health.

Minimal Example

# No imports needed — everything is in builtins

@get_controller("/hello")
def hello():
    return {"message": "Hello from Pancake!"}

@Mapper
class UserMapper(BaseMapper):
    _entity_class = User
    _table_name = "users"

    @Select("SELECT * FROM users WHERE name = #{name}")
    async def find_by_name(self, name: str) -> list[User]: ...

Documentation

Module Description
CLI Command-line tools
Web Controllers, filter chain, auth, middleware, WebSocket
MyBatis ORM Mappers, CRUD, chain queries, dynamic SQL
AI LLM client, memory, RAG
Redis Cache, data structures, distributed locks
IoC & DI IoC container, @auto_inject, @inject
Config YAML/XML/env configuration
Plugins Plugin system and built-in plugins
Lifecycle Component lifecycle hooks
Messaging Event-driven message queue
Remote HTTP and gRPC remote calls
Security Password hashing, API key, CSRF, OAuth2, sessions

Optional Dependencies

pip install pancake_framework[ai]          # AI module
pip install pancake_framework[langgraph]   # LangGraph workflow
pip install pancake_framework[redis]       # Redis cache & messaging
pip install pancake_framework[grpc]        # gRPC remote calls
pip install pancake_framework[cui]         # Click CLI commands
pip install pancake_framework[gui]         # Flet GUI
pip install pancake_framework[all]         # All optional deps

TODO

Core / IoC

  • Database migration support
  • Configuration hot-reload
  • Pagination Page object abstraction
  • OpenTelemetry / metrics integration
  • Graceful shutdown with signal handling
  • WebSocket support
  • Rate limiting middleware
  • API documentation auto-generation
  • More database dialects (SQLite/PG/MySQL type mapping)
  • Connection pool health check and auto-reconnect
  • JWT authentication support
  • Scheduled tasks (cron-like)
  • CLI interactive code (REPL)
  • Auto-configuration — auto-detect dependencies and configure defaults
  • Profiles — environment-specific config (dev / test / prod)
  • Conditional beans — @ConditionalOnProperty, @ConditionalOnClass
  • Bean lifecycle callbacks — @PostConstruct, @PreDestroy
  • Lazy initialization — @Lazy for deferred bean creation
  • Event system — @EventListener, application events (ContextRefreshed, etc.)
  • Property binding — auto-map YAML/ENV to dataclass (@ConfigurationProperties)

Web / REST

  • CORS configuration — global and per-route CORS policy
  • API versioning — /api/v1/users, /api/v2/users
  • Exception handler — @ExceptionHandler, global error response
  • Request logging middleware — auto-log method, path, status, duration
  • Response compression — gzip/brotli middleware
  • File upload — @multipart, multipart/form-data handling
  • Server-Sent Events — @sse_controller for real-time push
  • Request body validation — Pydantic-style @Valid on request models
  • Content negotiation — JSON / XML response based on Accept header
  • Async route handler — auto-detect async vs sync functions
  • Static file serving — built-in static directory mount
  • Request ID — auto-generate and propagate X-Request-Id

Security

  • OAuth2 support — OAuth2 client and resource server
  • API key authentication — @api_key_required header-based auth
  • Password hashing — bcrypt/argon2 integration
  • CSRF protection — token-based CSRF for form submissions
  • Security headers — auto-add HSTS, X-Frame-Options, CSP
  • IP whitelist/blacklist — middleware-based IP filtering
  • Session management — server-side session with Redis/memory store

Data / ORM

  • Transaction propagation — REQUIRED, REQUIRES_NEW, NESTED
  • Soft delete — @SoftDelete, deleted_at column support
  • Auto timestamps — created_at, updated_at auto-fill
  • Optimistic locking — version field for concurrent update safety
  • Multi-datasource — connect to multiple databases simultaneously
  • Database seeding — auto-insert initial data on startup
  • Query logging — SQL statement logging with execution time
  • Raw SQL helper — db.execute_raw(sql) with safety checks
  • Relation mapping — one-to-many, many-to-many lazy/eager loading

AOP / Middleware

  • AOP (Aspect-Oriented Programming) — @Before, @After, @Around pointcuts
  • Retry mechanism — @Retry(max=3, delay=1) for flaky operations
  • Circuit breaker — @CircuitBreaker for fault tolerance
  • Cache abstraction — @Cacheable, @CacheEvict (multi-backend: memory/Redis)
  • Async execution — @Async for non-blocking background tasks
  • Method timer — @Timed for method execution metrics
  • Locking — @DistributedLock for concurrent access control

Observability

  • Structured logging — JSON log output with correlation ID
  • Health indicators — custom health checks (DB, Redis, external API)
  • Distributed tracing — OpenTelemetry trace context propagation
  • Log levels API — runtime log level change via REST endpoint

DevOps / CLI

  • Project scaffolding — pancake create with templates (API / Fullstack / Microservice)
  • Code generation — auto-generate Mapper/Controller from table schema
  • DevTools — auto-restart on code change (watchdog)
  • Docker support — auto-generate Dockerfile and docker-compose.yml
  • Config validation — startup validation of required config keys
  • Dry run — pancake check with full dependency and config validation

Performance

  • C extension — convert hot-path modules (sql_parser, wrapper, jwt) to C for speed

Tests

pip install pytest pytest-asyncio
python -m pytest tests/ -v

License

MIT

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