# Python IoC

A lightweight, type-safe IoC (Inversion of Control) container for Python with constructor injection, decorator pattern support, and comprehensive validation.

## Features

- 🔧 **Constructor injection** via type hints
- 🔄 **Three lifetime modes**: Transient, Scoped, and Singleton
- 🎨 **Decorator pattern** support for cross-cutting concerns
- 🏭 **Factory registration** with dependency injection
- ✅ **Validation** with circular dependency detection
- 🛡️ **Type-safe** using Python's type system
- 📦 **Protocol and ABC support** for interface-based design

## Installation

```bash
pip install j2-ioc
```

## Quick Start

```python
from python_ioc import Container, Lifetime

# Define your abstractions
class UserRepository(ABC):
    @abstractmethod
    def get(self, user_id: int) -> dict: ...

class PostgresUserRepository(UserRepository):
    def get(self, user_id: int) -> dict:
        return {"id": user_id, "email": f"user{user_id}@example.com"}

# Configure container
container = (
    Container()
    .scoped(UserRepository, PostgresUserRepository)
)

# Validate configuration
container.validate()

# Use within a scope
with container.scope() as scope:
    repo = scope.resolve(UserRepository)
    user = repo.get(1)
```

## Lifetime Management

### Transient
A new instance is created every time the service is resolved:
```python
container.transient(EmailSender, SmtpEmailSender)
```

### Scoped
One instance per scope. Perfect for request-scoped services in web apps:
```python
container.scoped(UserRepository, PostgresUserRepository)
```

### Singleton
One instance shared across the entire application:
```python
container.singleton(Config, EnvConfig)
```

## Advanced Features

### Decorator Pattern
Add cross-cutting concerns like caching, logging, or validation:

```python
class CachedUserRepository(UserRepository):
    def __init__(self, inner: UserRepository, cache: Cache):
        self.inner = inner
        self.cache = cache

    def get(self, user_id: int) -> dict:
        cached = self.cache.get(f"user:{user_id}")
        if cached:
            return cached
        result = self.inner.get(user_id)
        self.cache.set(f"user:{user_id}", result)
        return result

container.decorate(UserRepository, CachedUserRepository)
```

### Factory Functions
Register factory functions with automatic dependency injection:

```python
def create_db_connection(config: Config) -> Connection:
    return psycopg.connect(config.get('db_url'))

container.factory(Connection, create_db_connection, Lifetime.SINGLETON)
```

### Instance Registration
Register pre-existing instances:

```python
config = EnvConfig()
container.instance(Config, config)
```

### Validation
Catch configuration errors early:

```python
try:
    container.validate()
except ContainerError as e:
    print(f"Error: {e}")
```

Validation checks for:
- Missing dependencies
- Circular dependencies
- Lifetime mismatches (e.g., singleton depending on scoped service)

## Idiomatic Usage with ABCs

```python
from abc import ABC, abstractmethod
from python_ioc import Container

# Abstract base class as contract
class UserRepository(ABC):
    @abstractmethod
    def get(self, user_id: int) -> dict: ...

class EmailSender(ABC):
    @abstractmethod
    def send(self, to: str, body: str) -> None: ...

# Concrete implementations
class PostgresUserRepository(UserRepository):
    def get(self, user_id: int) -> dict:
        return {"id": user_id, "email": "jesper@example.com"}

class SmtpEmailSender(EmailSender):
    def __init__(self, users: UserRepository):  # Injected!
        self.users = users

    def send(self, to: str, body: str) -> None:
        print(f"Sending to {to}: {body}")

# Wire it up
container = (
    Container()
    .scoped(UserRepository, PostgresUserRepository)
    .transient(EmailSender, SmtpEmailSender)
)

# Use it
with container.scope() as scope:
    sender = scope.resolve(EmailSender)
    sender.send("test@example.com", "Hello!")
```

### Or with Protocols (duck typing, no inheritance required)

```python
from typing import Protocol, runtime_checkable
from python_ioc import Container

@runtime_checkable
class UserRepository(Protocol):
    def get(self, user_id: int) -> dict: ...

# No inheritance needed - just implement the methods
class InMemoryUserRepository:
    def __init__(self):
        self._users = {1: {"id": 1, "name": "Jesper"}}

    def get(self, user_id: int) -> dict:
        return self._users.get(user_id, {})

container = Container().singleton(UserRepository, InMemoryUserRepository)

with container.scope() as scope:
    repo = scope.resolve(UserRepository)
    user = repo.get(1)
    print(user)  # {'id': 1, 'name': 'Jesper'}
```

## FastAPI Integration

Python-IoC works great with FastAPI for managing request-scoped dependencies:

```python
from abc import ABC, abstractmethod
from fastapi import FastAPI, Request
from python_ioc import Container

# Define your services
class Database(ABC):
    @abstractmethod
    def query(self, sql: str) -> list: ...

class PostgresDatabase(Database):
    def __init__(self):
        print("Creating database connection")

    def query(self, sql: str) -> list:
        return [{"id": 1, "name": "Alice"}]

class UserService:
    def __init__(self, db: Database):
        self.db = db

    def get_users(self):
        return self.db.query("SELECT * FROM users")

# Configure container
container = (
    Container()
    .scoped(Database, PostgresDatabase)
    .scoped(UserService)
)

# Create FastAPI app
app = FastAPI()

# Add container to app state
@app.on_event("startup")
async def startup():
    app.state.container = container

# Dependency function to get scope
def get_scope(request: Request):
    if not hasattr(request.state, "scope"):
        request.state.scope = app.state.container.scope()
        request.state.scope.__enter__()
    return request.state.scope

# Middleware to clean up scope after request
@app.middleware("http")
async def cleanup_scope(request: Request, call_next):
    response = await call_next(request)
    if hasattr(request.state, "scope"):
        request.state.scope.__exit__(None, None, None)
    return response

# Use in endpoints
@app.get("/users")
async def get_users(request: Request):
    scope = get_scope(request)
    user_service = scope.resolve(UserService)
    return user_service.get_users()

# Each request gets its own scoped instances
@app.get("/health")
async def health(request: Request):
    scope = get_scope(request)
    db = scope.resolve(Database)
    # Same Database instance within this request
    return {"status": "healthy"}
```

**Key benefits:**
- **Request-scoped services**: Each HTTP request gets its own service instances
- **Automatic cleanup**: Scopes are properly disposed after each request
- **Type-safe**: Full IDE support and type checking
- **Testable**: Easy to swap implementations for testing

### Simpler Alternative with Dependency Injection

For a more FastAPI-idiomatic approach using dependency injection:

```python
from fastapi import Depends, FastAPI
from python_ioc import Container

# Configure container (same as above)
container = Container().scoped(Database, PostgresDatabase).scoped(UserService)

app = FastAPI()

# Create a dependency that yields from a scope
async def get_user_service():
    with container.scope() as scope:
        yield scope.resolve(UserService)

# Use FastAPI's dependency injection
@app.get("/users")
async def get_users(user_service: UserService = Depends(get_user_service)):
    return user_service.get_users()
```

## Complete Example

```python
from abc import ABC, abstractmethod
from python_ioc import Container, Lifetime
from python_ioc.errors import (
    CircularDependencyError,
    ContainerError,
    MissingDependencyError
)

# ── Define abstractions ──────────────────────────────────────────────────

class Config(ABC):
    @abstractmethod
    def get(self, key: str) -> str: ...

class UserRepository(ABC):
    @abstractmethod
    def get(self, user_id: int) -> dict: ...

class EmailSender(ABC):
    @abstractmethod
    def send(self, to: str, body: str) -> None: ...

class Cache(ABC):
    @abstractmethod
    def get(self, key: str) -> object | None: ...
    @abstractmethod
    def set(self, key: str, value: object) -> None: ...

# ── Implementations ──────────────────────────────────────────────────────

class EnvConfig(Config):
    def __init__(self):
        self._values = {"db_url": "postgresql://localhost/app"}

    def get(self, key: str) -> str:
        return self._values.get(key, "")

class PostgresUserRepository(UserRepository):
    def __init__(self, config: Config):
        self.config = config
        print(f"  [PostgresUserRepository] Connected to {config.get('db_url')}")

    def get(self, user_id: int) -> dict:
        print(f"  [PostgresUserRepository] Fetching user {user_id} from DB")
        return {"id": user_id, "email": f"user{user_id}@example.com"}

class InMemoryCache(Cache):
    def __init__(self):
        self._store: dict[str, object] = {}

    def get(self, key: str) -> object | None:
        result = self._store.get(key)
        print(f"  [Cache] GET {key} -> {'HIT' if result else 'MISS'}")
        return result

    def set(self, key: str, value: object) -> None:
        print(f"  [Cache] SET {key}")
        self._store[key] = value

# ── Decorator ────────────────────────────────────────────────────────────

class CachedUserRepository(UserRepository):
    """Decorator that adds caching to any UserRepository."""

    def __init__(self, inner: UserRepository, cache: Cache):
        self.inner = inner
        self.cache = cache

    def get(self, user_id: int) -> dict:
        key = f"user:{user_id}"
        cached = self.cache.get(key)
        if cached:
            return cached
        result = self.inner.get(user_id)
        self.cache.set(key, result)
        return result

class SmtpEmailSender(EmailSender):
    def __init__(self, users: UserRepository):
        self.users = users

    def send(self, to: str, body: str) -> None:
        print(f"  [SmtpEmailSender] Sending to {to}: {body}")

# ── Factory function (dependencies injected via type hints) ────────────

def create_connection_string(config: Config) -> str:
    """Factory functions can have dependencies injected too."""
    return f"Connection to {config.get('db_url')}"

# ── Configure container ──────────────────────────────────────────────────

print("=" * 60)
print("Setting up container...")
print("=" * 60)

container = (
    Container()
    # Singleton config - shared everywhere
    .singleton(Config, EnvConfig)
    # Singleton cache
    .singleton(Cache, InMemoryCache)
    # Scoped repository - one per scope
    .scoped(UserRepository, PostgresUserRepository)
    # Add caching decorator
    .decorate(UserRepository, CachedUserRepository)
    # Transient email sender - new instance each time
    .transient(EmailSender, SmtpEmailSender)
    # Factory example - dependency injection works in factories too
    .factory(
        str,  # Just for demo - normally wouldn't register str
        create_connection_string,
        Lifetime.SINGLETON
    )
)

# Validate configuration
print("\nValidating container configuration...")
container.validate()
print("✓ Container configuration is valid")

# ── Use the container ────────────────────────────────────────────────────

print("\n" + "=" * 60)
print("Scope 1: First request")
print("=" * 60)

with container.scope() as scope:
    print("\nResolving EmailSender...")
    sender = scope.resolve(EmailSender)

    print("\nFetching user 1 (should hit DB)...")
    user_repo = scope.resolve(UserRepository)
    user = user_repo.get(1)
    print(f"Got user: {user}")

    print("\nFetching user 1 again (should hit cache)...")
    user = user_repo.get(1)
    print(f"Got user: {user}")

print("\n" + "=" * 60)
print("Scope 2: Second request (new scope, same singletons)")
print("=" * 60)

with container.scope() as scope:
    print("\nResolving UserRepository (new scoped instance)...")
    user_repo = scope.resolve(UserRepository)

    print("\nFetching user 1 (cache is singleton, should still hit)...")
    user = user_repo.get(1)
    print(f"Got user: {user}")

    print("\nFetching user 2 (should hit DB)...")
    user = user_repo.get(2)
    print(f"Got user: {user}")

# ── Demonstrate validation errors ────────────────────────────────────────

print("\n" + "=" * 60)
print("Validation examples")
print("=" * 60)

# Missing dependency
print("\n1. Missing dependency:")
try:
    class NeedsUnregistered:
        def __init__(self, missing: "UnregisteredService"): ...

    class UnregisteredService: ...

    bad_container = Container().transient(NeedsUnregistered)
    bad_container.validate()
except MissingDependencyError as e:
    print(f"   ✓ Caught: {e}")

# Circular dependency
print("\n2. Circular dependency:")
try:
    class ServiceA:
        def __init__(self, b: "ServiceB"): ...

    class ServiceB:
        def __init__(self, a: ServiceA): ...

    bad_container = (
        Container()
        .transient(ServiceA)
        .transient(ServiceB)
    )
    bad_container.validate()
except CircularDependencyError as e:
    print(f"   ✓ Caught: {e}")

# Lifetime mismatch
print("\n3. Lifetime mismatch (singleton depending on scoped):")
try:
    class ScopedService: ...

    class SingletonNeedsScoped:
        def __init__(self, scoped: ScopedService): ...

    bad_container = (
        Container()
        .scoped(ScopedService)
        .singleton(SingletonNeedsScoped)
    )
    bad_container.validate()
except ContainerError as e:
    print(f"   ✓ Caught: {e}")

print("\n" + "=" * 60)
print("Done!")
print("=" * 60)
```

**Output:**
```
============================================================
Setting up container...
============================================================

Validating container configuration...
✓ Container configuration is valid

============================================================
Scope 1: First request
============================================================

Resolving EmailSender...
  [PostgresUserRepository] Connected to postgresql://localhost/app

Fetching user 1 (should hit DB)...
  [Cache] GET user:1 -> MISS
  [PostgresUserRepository] Fetching user 1 from DB
  [Cache] SET user:1
Got user: {'id': 1, 'email': 'user1@example.com'}

Fetching user 1 again (should hit cache)...
  [Cache] GET user:1 -> HIT
Got user: {'id': 1, 'email': 'user1@example.com'}

============================================================
Scope 2: Second request (new scope, same singletons)
============================================================

Resolving UserRepository (new scoped instance)...
  [PostgresUserRepository] Connected to postgresql://localhost/app

Fetching user 1 (cache is singleton, should still hit)...
  [Cache] GET user:1 -> HIT
Got user: {'id': 1, 'email': 'user1@example.com'}

Fetching user 2 (should hit DB)...
  [Cache] GET user:2 -> MISS
  [PostgresUserRepository] Fetching user 2 from DB
  [Cache] SET user:2
Got user: {'id': 2, 'email': 'user2@example.com'}

============================================================
Validation examples
============================================================

1. Missing dependency:
   ✓ Caught: 'UnregisteredService' is not registered, required by NeedsUnregistered

2. Circular dependency:
   ✓ Caught: Circular dependency detected: ServiceA -> ServiceB -> ServiceA

3. Lifetime mismatch (singleton depending on scoped):
   ✓ Caught: Lifetime mismatch: singleton 'SingletonNeedsScoped' cannot depend on scoped 'ScopedService'

============================================================
Done!
============================================================
```

### Development

A `Makefile` is provided for common development tasks:

```bash
make install-dev   # Install development dependencies
make test          # Run tests
make coverage      # Run tests with coverage report
make lint          # Run linting checks (flake8)
make format        # Format code (black)
make type-check    # Run type checking (mypy)
make build         # Build the package
```

### CI/CD

This project uses GitHub Actions for CI/CD:
- **CI**: Runs tests, linting, and type checking on every push to `main` and pull requests.
- **Release**: Automatically builds and publishes the package to PyPI when a new tag `v*` is pushed.

To publish manually, you can use the provided script:
```bash
./scripts/publish.sh
```

## License

MIT License - see LICENSE file for details.

