Best fit
- FastAPI best practices covering project structure, Pydantic v2 schemas, dependency injection, async handlers, authentication, authorization, transactional service layers, and testing with httpx and pytest.
affaan-m/ECC
FastAPI best practices covering project structure, Pydantic v2 schemas, dependency injection, async handlers, authentication, authorization, transactional service layers, and testing with httpx and pytest.
npx skills add https://github.com/affaan-m/ECC --skill "skills/fastapi-patterns"Source checked Jul 28, 2026·Refresh due Oct 26, 2026
Reorganized from the pinned upstream SKILL.md
According to the pinned SKILL.md from affaan-m/ECC: Modern, production-grade FastAPI development: project layout, Pydantic v2 schemas, dependency injection, async patterns, auth, transactional service methods, and testing.
npx skills add https://github.com/affaan-m/ECC --skill "skills/fastapi-patterns"Best fit
Bring this context
Expected outputs
Key source sections
Sections are extracted automatically from the pinned SKILL.md and link back to the source.
Review the “Project Structure” section in the pinned source before continuing.
Review the “App Factory and Lifespan” section in the pinned source before continuing.
from contextlib import asynccontextmanager from fastapi import FastAPI from fastapi.middleware.cors import CORSMiddleware
Review the “Configuration with pydantic-settings” section in the pinned source before continuing.
from pydanticsettings import BaseSettings, SettingsConfigDict
SkillSignal prompt templates
These prompts were written by SkillSignal from the source structure; they are not upstream text.
Task-start prompt
Confirm source fit, inputs, and outputs before acting.
Use fastapi-patterns to help me with: [specific task]. Context: [files, data, or background]. Constraints: [environment, scope, and prohibited actions]. Before acting, check the pinned SKILL.md and explain which sections apply, what inputs are still missing, and what you will deliver.
Source-guided execution
Make the Agent explicitly follow the key extracted sections.
Apply the pinned fastapi-patterns source to [task]. Pay particular attention to these source sections: “Project Structure”, “App Factory and Lifespan”, “app/main.py”, “Configuration with pydantic-settings”, “app/config.py”. Preserve the important decision at each step. Mark facts not covered by the source as “needs confirmation” instead of inventing them. Then verify the result against my acceptance criteria: [criteria].
Result-review prompt
Check omissions, permissions, and source drift before delivery.
Review the current fastapi-patterns result: (1) does it satisfy the original task; (2) were any applicable steps or limits in the pinned SKILL.md missed; (3) did it perform any unauthorized file, command, network, or data action; and (4) which conclusions remain unverified? List issues first, then fix only what the source or user authorization supports.
Output checklist
The task matches the purpose documented in the SKILL.md.
The source section “Project Structure” has been checked.
The source section “App Factory and Lifespan” has been checked.
The source section “app/main.py” has been checked.
The source section “Configuration with pydantic-settings” has been checked.
Inputs, constraints, and acceptance criteria are explicit.
Unverified facts, compatibility, and outcome claims are clearly marked.
Any file, command, network, or data action has been reviewed.
Choose a different workflow
FastAPI patterns for async APIs, dependency injection, Pydantic request and response models, OpenAPI docs, tests, security, and production readiness.
A separate implementation from affaan-m/ECC; compare its source, maintenance signals, and permission requirements.
Open source detailUse when building an MCP server in Python (FastMCP) or Node/TypeScript (MCP SDK) — agent-centric tool design, input schemas, error handling, and the 10-question evaluation harness.
A separate implementation from event4u-app/agent-config; compare its source, maintenance signals, and permission requirements.
Open source detailE2E testing for Windows native desktop apps (WPF, WinForms, Win32/MFC, Qt) using pywinauto and Windows UI Automation.
A separate implementation from affaan-m/ECC; compare its source, maintenance signals, and permission requirements.
Open source detailFAQ
Modern, production-grade FastAPI development: project layout, Pydantic v2 schemas, dependency injection, async patterns, auth, transactional service methods, and testing.
The catalog detected this source-specific install command: npx skills add https://github.com/affaan-m/ECC --skill "skills/fastapi-patterns". Inspect the command and pinned source before running it.
No dedicated Agent platform is declared in the pinned source record.
Quality breakdown
Based on traceable docs and repository signals; stars are not treated as quality.
Compare before choosing
These links are selected from shared tasks, functions, stacks, platforms, and same-name variants. Compare the source owner, documentation, permissions, and maintenance signals.
FastAPI patterns for async APIs, dependency injection, Pydantic request and response models, OpenAPI docs, tests, security, and production readiness.
Use when building an MCP server in Python (FastMCP) or Node/TypeScript (MCP SDK) — agent-centric tool design, input schemas, error handling, and the 10-question evaluation harness.
E2E testing for Windows native desktop apps (WPF, WinForms, Win32/MFC, Qt) using pywinauto and Windows UI Automation.
Python design patterns including KISS, Separation of Concerns, Single Responsibility, and composition over inheritance. Use this skill when designing a new service or component from scratch and choosing how to layer responsibilities, when refactoring a God class or monolithic function that has grown too large, when deciding whether to add a new abstraction or live with duplication, when evaluating a pull request for structural issues like tight coupling or leaking internal types, when choosing b
Differential gene expression analysis for bulk RNA-seq with PyDESeq2, including formulaic designs, Wald tests, FDR correction, LFC shrinkage, and result visualization.
Modern, production-grade FastAPI development: project layout, Pydantic v2 schemas, dependency injection, async patterns, auth, transactional service methods, and testing.
my_app/
|-- app/
| |-- main.py # App factory, lifespan, middleware
| |-- config.py # Settings via pydantic-settings
| |-- dependencies.py # Shared FastAPI dependencies
| |-- database.py # SQLAlchemy engine + session
| |-- routers/
| | `-- users.py
| |-- models/ # SQLAlchemy ORM models
| | `-- user.py
| |-- schemas/ # Pydantic request/response schemas
| | `-- user.py
| `-- services/ # Business logic layer
| `-- user_service.py
|-- tests/
| |-- conftest.py
| `-- test_users.py
|-- pyproject.toml
`-- .env
# app/main.py
from contextlib import asynccontextmanager
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from app.config import settings
from app.database import engine, Base
from app.routers import users
@asynccontextmanager
async def lifespan(app: FastAPI):
# Automatically create tables on startup for ease of use in dev/demo environments.
# For strict production applications, manage schemas via Alembic migrations instead.
async with engine.begin() as conn:
await conn.run_sync(Base.metadata.create_all)
yield
# Shutdown: close pooled resources.
await engine.dispose()
def create_app() -> FastAPI:
app = FastAPI(
title=settings.app_name,
version=settings.app_version,
lifespan=lifespan,
)
app.add_middleware(
CORSMiddleware,
allow_origins=settings.allowed_origins,
allow_credentials=settings.allow_credentials,
allow_methods=settings.allowed_methods,
allow_headers=settings.allowed_headers,
)
app.include_router(users.router, prefix="/users", tags=["users"])
return app
app = create_app()
# app/config.py
from pydantic_settings import BaseSettings, SettingsConfigDict
class Settings(BaseSettings):
model_config = SettingsConfigDict(env_file=".env", env_file_encoding="utf-8")
app_name: str = "My App"
app_version: str = "0.1.0"
debug: bool = False
database_url: str
secret_key: str
algorithm: str = "HS256"
access_token_expire_minutes: int = 30
# Pydantic-settings v2 safely evaluates mutable list literals directly
allowed_origins: list[str] = ["http://localhost:3000"]
allowed_methods: list[str] = ["GET", "POST", "PATCH", "DELETE", "OPTIONS"]
allowed_headers: list[str] = ["Authorization", "Content-Type"]
allow_credentials: bool = True
settings = Settings()
# app/schemas/user.py
from datetime import datetime
from pydantic import BaseModel, EmailStr, Field, model_validator
class UserBase(BaseModel):
email: EmailStr
username: str = Field(min_length=3, max_length=50)
class UserCreate(UserBase):
password: str = Field(min_length=8)
password_confirm: str
@model_validator(mode="after")
def passwords_match(self) -> "UserCreate":
if self.password != self.password_confirm:
raise ValueError("Passwords do not match")
return self
class UserUpdate(BaseModel):
username: str | None = Field(default=None, min_length=3, max_length=50)
email: EmailStr | None = None
class UserResponse(UserBase):
id: int
is_active: bool
created_at: datetime
model_config = {"from_attributes": True}
class UserListResponse(BaseModel):
total: int
items: list[UserResponse]
# app/dependencies.py
from typing import Annotated, AsyncGenerator
from fastapi import Depends, HTTPException, status
from fastapi.security import OAuth2PasswordBearer
from jose import JWTError, jwt
from sqlalchemy.ext.asyncio import AsyncSession
from app.config import settings
from app.database import AsyncSessionLocal
from app.models.user import User
oauth2_scheme = OAuth2PasswordBearer(tokenUrl="/users/token")
async def get_db() -> AsyncGenerator[AsyncSession, None]:
async with AsyncSessionLocal() as session:
try:
yield session
except Exception:
await session.rollback()
raise
async def get_current_user(
token: Annotated[str, Depends(oauth2_scheme)],
db: Annotated[AsyncSession, Depends(get_db)],
) -> User:
credentials_exception = HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Could not validate credentials",
headers={"WWW-Authenticate": "Bearer"},
)
try:
payload = jwt.decode(token, settings.secret_key, algorithms=[settings.algorithm])
subject = payload.get("sub")
if subject is None:
raise credentials_exception
user_id = int(subject)
except (JWTError, TypeError, ValueError):
raise credentials_exception
user = await db.get(User, user_id)
if user is None:
raise credentials_exception
return user
async def get_current_active_user(
current_user: Annotated[User, Depends(get_current_user)],
) -> User:
if not current_user.is_active:
raise HTTPException(status_code=status.HTTP_403_FORBIDDEN, detail="Inactive user")
return current_user
DbDep = Annotated[AsyncSession, Depends(get_db)]
CurrentUserDep = Annotated[User, Depends(get_current_user)]
ActiveUserDep = Annotated[User, Depends(get_current_active_user)]
# app/routers/users.py
from typing import Annotated
from fastapi import APIRouter, HTTPException, Query, status
from fastapi.security import OAuth2PasswordRequestForm
from app.dependencies import ActiveUserDep, DbDep
from app.schemas.user import UserCreate, UserResponse, UserUpdate, UserListResponse
from app.services.user_service import DuplicateUserError, UserService
router = APIRouter()
@router.post("/", response_model=UserResponse, status_code=status.HTTP_201_CREATED)
async def create_user(payload: UserCreate, db: DbDep) -> UserResponse:
service = UserService(db)
try:
return await service.create(payload)
except DuplicateUserError:
raise HTTPException(status_code=400, detail="Email already registered")
@router.get("/me", response_model=UserResponse)
async def get_me(current_user: ActiveUserDep) -> UserResponse:
return current_user
@router.get("/", response_model=UserListResponse)
async def list_users(
db: DbDep,
current_user: ActiveUserDep,
skip: Annotated[int, Query(ge=0)] = 0,
limit: Annotated[int, Query(ge=1, le=100)] = 20,
) -> UserListResponse:
service = UserService(db)
users, total = await service.list(skip=skip, limit=limit)
return UserListResponse(total=total, items=users)
@router.patch("/{user_id}", response_model=UserResponse)
async def update_user(
user_id: int,
payload: UserUpdate,
db: DbDep,
current_user: ActiveUserDep,
) -> UserResponse:
if current_user.id != user_id:
raise HTTPException(status_code=403, detail="Not authorized")
service = UserService(db)
try:
user = await service.update(user_id, payload)
except DuplicateUserError:
raise HTTPException(status_code=400, detail="Email already registered")
if user is None:
raise HTTPException(status_code=404, detail="User not found")
return user
@router.post("/token")
async def login(
form_data: Annotated[OAuth2PasswordRequestForm, Depends()],
db: DbDep,
) -> dict[str, str]:
service = UserService(db)
token = await service.authenticate(form_data.username, form_data.password)
if token is None:
raise HTTPException(
status_code=status.HTTP_401_UNAUTHORIZED,
detail="Incorrect username or password",
headers={"WWW-Authenticate": "Bearer"},
)
return {"access_token": token, "token_type": "bearer"}
# app/services/user_service.py
from datetime import datetime, timedelta, timezone
from jose import jwt
from passlib.context import CryptContext
from sqlalchemy import func, select
from sqlalchemy.exc import IntegrityError
from sqlalchemy.ext.asyncio import AsyncSession
from app.config import settings
from app.models.user import User
from app.schemas.user import UserCreate, UserUpdate
pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto")
class DuplicateUserError(Exception):
"""Raised when a unique user field conflicts with an existing row."""
class UserService:
def __init__(self, db: AsyncSession) -> None:
self.db = db
async def get_by_email(self, email: str) -> User | None:
result = await self.db.execute(select(User).where(User.email == email))
return result.scalar_one_or_none()
async def create(self, payload: UserCreate) -> User:
user = User(
email=payload.email,
username=payload.username,
hashed_password=pwd_context.hash(payload.password),
)
self.db.add(user)
try:
# Rely on atomic DB constraints rather than race-prone application-level prechecks
await self.db.commit()
except IntegrityError as exc:
await self.db.rollback()
raise DuplicateUserError from exc
await self.db.refresh(user)
return user
async def list(self, skip: int = 0, limit: int = 20) -> tuple[list[User], int]:
total_result = await self.db.execute(select(func.count(User.id)))
total = total_result.scalar_one()
# Enforce explicit deterministic ordering to ensure reliable pagination
result = await self.db.execute(
select(User).order_by(User.id).offset(skip).limit(limit)
)
return list(result.scalars()), total
async def update(self, user_id: int, payload: UserUpdate) -> User | None:
user = await self.db.get(User, user_id)
if user is None:
return None
for field, value in payload.model_dump(exclude_unset=True).items():
setattr(user, field, value)
try:
await self.db.commit()
except IntegrityError as exc:
await self.db.rollback()
raise DuplicateUserError from exc
await self.db.refresh(user)
return user
async def authenticate(self, email: str, password: str) -> str | None:
user = await self.get_by_email(email)
if user is None or not pwd_context.verify(password, user.hashed_password):
return None
expire = datetime.now(timezone.utc) + timedelta(
minutes=settings.access_token_expire_minutes
)
return jwt.encode(
{"sub": str(user.id), "exp": expire},
settings.secret_key,
algorithm=settings.algorithm,
)
Note on Database Design: Application-level unique handling requires an underlying unique database index (e.g.,
unique=Trueon your SQLAlchemy mapping attributes). Without underlying constraints, application layer error-catching cannot safely prevent concurrent race conditions.
# tests/conftest.py
import pytest_asyncio
from httpx import ASGITransport, AsyncClient
from sqlalchemy.ext.asyncio import AsyncSession, async_sessionmaker, create_async_engine
from app.database import Base
from app.dependencies import get_db
from app.main import create_app
TEST_DATABASE_URL = "sqlite+aiosqlite:///:memory:"
engine = create_async_engine(TEST_DATABASE_URL)
TestingSessionLocal = async_sessionmaker(engine, expire_on_commit=False)
@pytest_asyncio.fixture(autouse=True)
async def setup_db():
async with engine.begin() as conn:
await conn.run_sync(Base.metadata.create_all)
yield
async with engine.begin() as conn:
await conn.run_sync(Base.metadata.drop_all)
@pytest_asyncio.fixture
async def db_session():
async with TestingSessionLocal() as session:
yield session
await session.rollback()
@pytest_asyncio.fixture
async def client(db_session: AsyncSession):
app = create_app()
async def override_get_db():
yield db_session
app.dependency_overrides[get_db] = override_get_db
async with AsyncClient(
transport=ASGITransport(app=app), base_url="http://test"
) as ac:
yield ac
@pytest_asyncio.fixture
async def registered_user(client: AsyncClient) -> dict:
resp = await client.post("/users/", json={
"email": "test@example.com",
"username": "testuser",
"password": "securepass1",
"password_confirm": "securepass1",
})
assert resp.status_code == 201
return resp.json()
@pytest_asyncio.fixture
async def auth_token(client: AsyncClient, registered_user: dict) -> str:
resp = await client.post("/users/token", data={
"username": "test@example.com",
"password": "securepass1",
})
assert resp.status_code == 200
return resp.json()["access_token"]
@pytest_asyncio.fixture
async def auth_client(client: AsyncClient, auth_token: str) -> AsyncClient:
client.headers.update({"Authorization": f"Bearer {auth_token}"})
return client
# Bad: business logic inside route handlers.
@router.post("/users/")
async def create_user(payload: UserCreate, db: DbDep):
hashed = bcrypt.hash(payload.password)
user = User(email=payload.email, hashed_password=hashed)
db.add(user)
await db.commit()
return user
# Good: thin route, transactional service handling.
@router.post("/users/", response_model=UserResponse, status_code=201)
async def create_user(payload: UserCreate, db: DbDep):
try:
return await UserService(db).create(payload)
except DuplicateUserError:
raise HTTPException(status_code=400, detail="Email already registered")
# Bad: sync DB calls in async routes block the event loop.
@router.get("/items/")
async def list_items(db: Session = Depends(get_db)):
return db.query(Item).all()
# Good: use async SQLAlchemy executions.
@router.get("/items/")
async def list_items(db: AsyncSession = Depends(get_db)):
result = await db.execute(select(Item))
return result.scalars().all()
response_model to prevent accidental PII/data leaks and output clean OpenAPI schemas.DbDep = Annotated[AsyncSession, Depends(get_db)]..order_by(Model.id)) on all offset/limit paginated endpoints to avoid data skips.401 vs 403).