fastapi-endpoint

name	fastapi-endpoint
description	Plan and build production-ready FastAPI endpoints with async SQLAlchemy, Pydantic v2 models, dependency injection for auth, and pytest tests. Uses interview-driven planning to clarify data models, authentication method, pagination strategy, and caching before writing any code.
tags	["fastapi","python","api","async","pydantic","sqlalchemy","backend"]

FastAPI Endpoint Builder

When to use

Use this skill when you need to:

• Add new API endpoints to an existing FastAPI project
• Build CRUD operations with proper validation and error handling
• Set up authenticated endpoints with dependency injection
• Create async database queries with SQLAlchemy 2.0
• Generate complete test coverage for API routes

Phase 1: Explore (Plan Mode)

Enter plan mode. Before writing any code, explore the existing project to understand:

Project structure

• Find the FastAPI app entry point (main.py, app.py, or app/__init__.py)
• Identify the router organization pattern (single file vs routers/ directory)
• Check for existing models/, schemas/, crud/, or services/ directories
• Look at pyproject.toml or requirements.txt for installed dependencies

Existing patterns

• How are existing endpoints structured? (function-based vs class-based)
• What ORM is used? (SQLAlchemy 2.0 async, Tortoise, raw SQL, none)
• How is the database session managed? (Depends(get_db), middleware, other)
• What auth pattern exists? (OAuth2PasswordBearer, API key header, custom)
• Are there existing Pydantic base models or shared schemas?
• What response format is standard? (direct model, wrapped {"data": ..., "meta": ...})

Test patterns

• Where do tests live? (tests/, test_*.py, *_test.py)
• What test client is used? (httpx AsyncClient, TestClient, pytest-asyncio)
• Are there test fixtures for database and auth?

Phase 2: Interview (AskUserQuestion)

Use AskUserQuestion to clarify requirements. Ask in rounds — do NOT dump all questions at once.

Round 1: Core endpoint

Question: "What resource does this endpoint manage?"
Header: "Resource"
Options:
  - "New resource (I'll describe the fields)" — Creating a new data model from scratch
  - "Existing model (extend it)" — Adding endpoints for a model that already exists in the codebase
  - "Relationship endpoint (nested)" — e.g., /users/{id}/orders — endpoint on a related resource

Question: "Which HTTP methods do you need?"
Header: "Methods"
multiSelect: true
Options:
  - "Full CRUD (GET list, GET detail, POST, PUT/PATCH, DELETE)" — All standard operations
  - "Read-only (GET list + GET detail)" — No mutations
  - "Custom action (POST /resource/{id}/action)" — Business logic endpoint, not standard CRUD

Round 2: Data model (if new resource)

Question: "What fields does the resource have? (describe briefly)"
Header: "Fields"
Options:
  - "Simple (< 6 fields, basic types)" — Strings, ints, booleans, dates
  - "Medium (6-15 fields, some relations)" — Includes foreign keys or enums
  - "Complex (nested objects, polymorphic)" — JSON fields, discriminated unions, computed fields

Round 3: Auth and access control

Question: "How should this endpoint be authenticated?"
Header: "Auth"
Options:
  - "JWT Bearer token (Recommended)" — OAuth2PasswordBearer with JWT decode
  - "API Key header" — X-API-Key header validation
  - "No auth (public)" — Open endpoint, no authentication required
  - "Use existing auth" — Reuse the auth dependency already in the project

Question: "Do you need role-based access control?"
Header: "RBAC"
Options:
  - "No — any authenticated user" — Single permission level
  - "Yes — role check (admin, user, etc.)" — Require specific roles per endpoint
  - "Yes — ownership check" — Users can only access their own resources

Round 4: Pagination, filtering, caching

Question: "What pagination style for list endpoints?"
Header: "Pagination"
Options:
  - "Cursor-based (Recommended)" — Best for real-time data, no offset drift
  - "Offset/limit" — Simple, good for admin panels with page numbers
  - "No pagination" — Small datasets, return all results

Question: "Do you need response caching?"
Header: "Caching"
Options:
  - "No caching" — Fresh data on every request
  - "Cache-Control headers" — Client-side caching via HTTP headers
  - "Redis/in-memory cache" — Server-side caching with TTL

Phase 3: Plan (ExitPlanMode)

Write a concrete implementation plan covering:

1. Files to create/modify — exact paths based on project structure discovered in Phase 1
2. Pydantic schemas — Create, Update, Response, and List schemas with field types
3. SQLAlchemy model — table name, columns, relationships, indexes
4. CRUD/service layer — async functions for each operation
5. Router — endpoint signatures, status codes, response models
6. Dependencies — auth, pagination, filtering dependencies
7. Tests — test cases for happy path, validation errors, auth failures, not found

Present via ExitPlanMode for user approval.

Phase 4: Execute

After approval, implement following this order:

Step 1: Pydantic schemas

from pydantic import BaseModel, ConfigDict
from datetime import datetime
from uuid import UUID

class ResourceBase(BaseModel):
    """Shared fields between create and response."""
    name: str
    # ... fields from interview

class ResourceCreate(ResourceBase):
    """Fields required to create the resource."""
    pass

class ResourceUpdate(BaseModel):
    """All fields optional for partial updates."""
    name: str | None = None

class ResourceResponse(ResourceBase):
    """Full resource with DB-generated fields."""
    model_config = ConfigDict(from_attributes=True)
    id: UUID
    created_at: datetime
    updated_at: datetime

class ResourceListResponse(BaseModel):
    """Paginated list response."""
    data: list[ResourceResponse]
    next_cursor: str | None = None
    has_more: bool

Step 2: SQLAlchemy model

from sqlalchemy import Column, String, DateTime, func
from sqlalchemy.dialects.postgresql import UUID as PG_UUID
import uuid
from app.database import Base

class Resource(Base):
    __tablename__ = "resources"

    id = Column(PG_UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
    name = Column(String, nullable=False, index=True)
    created_at = Column(DateTime(timezone=True), server_default=func.now())
    updated_at = Column(DateTime(timezone=True), server_default=func.now(), onupdate=func.now())

Step 3: CRUD/service layer

from sqlalchemy.ext.asyncio import AsyncSession
from sqlalchemy import select
from uuid import UUID

async def get_resource(db: AsyncSession, resource_id: UUID) -> Resource | None:
    result = await db.execute(select(Resource).where(Resource.id == resource_id))
    return result.scalar_one_or_none()

async def list_resources(
    db: AsyncSession,
    cursor: str | None = None,
    limit: int = 20,
) -> tuple[list[Resource], str | None]:
    query = select(Resource).order_by(Resource.created_at.desc()).limit(limit + 1)
    if cursor:
        query = query.where(Resource.created_at < decode_cursor(cursor))
    result = await db.execute(query)
    items = list(result.scalars().all())
    next_cursor = encode_cursor(items[-1].created_at) if len(items) > limit else None
    return items[:limit], next_cursor

async def create_resource(db: AsyncSession, data: ResourceCreate) -> Resource:
    resource = Resource(**data.model_dump())
    db.add(resource)
    await db.commit()
    await db.refresh(resource)
    return resource

  () -> Resource | :
    resource =  get_resource(db, resource_id)
      resource:
         
     field, value  data.model_dump(exclude_unset=).items():
        (resource, field, value)
     db.commit()
     db.refresh(resource)
     resource

  () -> :
    resource =  get_resource(db, resource_id)
      resource:
         
     db.delete(resource)
     db.commit()
     

Step 4: Router with dependencies

from fastapi import APIRouter, Depends, HTTPException, Query, status
from sqlalchemy.ext.asyncio import AsyncSession
from uuid import UUID

router = APIRouter(prefix="/resources", tags=["resources"])

@router.get("", response_model=ResourceListResponse)
async def list_resources_endpoint(
    cursor: str | None = Query(None),
    limit: int = Query(20, ge=1, le=100),
    db: AsyncSession = Depends(get_db),
    current_user: User = Depends(get_current_user),  # if auth required
):
    items, next_cursor = await list_resources(db, cursor=cursor, limit=limit)
    return ResourceListResponse(
        data=items,
        next_cursor=next_cursor,
        has_more=next_cursor is not None,
    )

@router.get("/{resource_id}", response_model=ResourceResponse)
async def get_resource_endpoint(
    resource_id: UUID,
    db: AsyncSession = Depends(get_db),
    current_user: User = Depends(get_current_user),
):
    resource = await get_resource(db, resource_id)
    if not resource:
        raise HTTPException(status_code=404, detail=)
     resource


  ():
      create_resource(db, data)


  ():
    resource =  update_resource(db, resource_id, data)
      resource:
         HTTPException(status_code=, detail=)
     resource


  ():
    deleted =  delete_resource(db, resource_id)
      deleted:
         HTTPException(status_code=, detail=)

Step 5: Tests

import pytest
from httpx import AsyncClient, ASGITransport
from app.main import app

@pytest.fixture
async def client():
    async with AsyncClient(
        transport=ASGITransport(app=app), base_url="http://test"
    ) as ac:
        yield ac

@pytest.mark.asyncio
async def test_create_resource(client: AsyncClient, auth_headers: dict):
    response = await client.post(
        "/resources",
        json={"name": "Test Resource"},
        headers=auth_headers,
    )
    assert response.status_code == 201
    data = response.json()
    assert data["name"] == "Test Resource"
    assert "id" in data

@pytest.mark.asyncio
async def test_get_resource_not_found(client: AsyncClient, auth_headers: dict):
    response = await client.get(
        "/resources/00000000-0000-0000-0000-000000000000",
        headers=auth_headers,
    )
    assert response.status_code == 404

@pytest.mark.asyncio
async def test_list_resources_pagination():
    
     i  ():
         client.post(
            ,
            json={: },
            headers=auth_headers,
        )
    response =  client.get(, headers=auth_headers)
     response.status_code == 
    data = response.json()
     (data[]) == 
     data[]  
     data[]   


  ():
    response =  client.post(, json={: })
     response.status_code  (, )


  ():
    
    create_resp =  client.post(
        ,
        json={: },
        headers=auth_headers,
    )
    resource_id = create_resp.json()[]
    
    response =  client.patch(
        ,
        json={: },
        headers=auth_headers,
    )
     response.status_code == 
     response.json()[] == 


  ():
    create_resp =  client.post(
        ,
        json={: },
        headers=auth_headers,
    )
    resource_id = create_resp.json()[]
    response =  client.delete(
        , headers=auth_headers
    )
     response.status_code == 
    
    get_resp =  client.get(
        , headers=auth_headers
    )
     get_resp.status_code == 

Key patterns to follow

Dependency injection for auth

from fastapi import Depends, HTTPException, status
from fastapi.security import OAuth2PasswordBearer

oauth2_scheme = OAuth2PasswordBearer(tokenUrl="auth/token")

async def get_current_user(
    token: str = Depends(oauth2_scheme),
    db: AsyncSession = Depends(get_db),
) -> User:
    payload = decode_jwt(token)
    user = await db.get(User, payload["sub"])
    if not user:
        raise HTTPException(status_code=401, detail="Invalid token")
    return user

def require_role(*roles: str):
    """Factory for role-based access control."""
    async def checker(current_user: User = Depends(get_current_user)):
        if current_user.role not in roles:
            raise HTTPException(status_code=403, detail="Insufficient permissions")
        return current_user
    return checker

Cursor-based pagination helper

import base64
from datetime import datetime

def encode_cursor(dt: datetime) -> str:
    return base64.urlsafe_b64encode(dt.isoformat().encode()).decode()

def decode_cursor(cursor: str) -> datetime:
    return datetime.fromisoformat(base64.urlsafe_b64decode(cursor).decode())

Error responses

Always use FastAPI's HTTPException with consistent detail messages. For validation errors, Pydantic v2 handles them automatically via RequestValidationError (422).

# 404 — not found
raise HTTPException(status_code=404, detail="Resource not found")

# 409 — conflict (duplicate)
raise HTTPException(status_code=409, detail="Resource with this name already exists")

# 403 — forbidden
raise HTTPException(status_code=403, detail="Not allowed to modify this resource")

Checklist before finishing

• All endpoints return proper status codes (201 for POST, 204 for DELETE)
• Pydantic schemas use model_config = ConfigDict(from_attributes=True) for ORM mode
• List endpoint has pagination with configurable limit
• Auth dependency is applied to all non-public endpoints
• Tests cover: happy path, not found, unauthorized, validation errors
• Router is registered in the main FastAPI app
• Database model has proper indexes on filtered/sorted columns