tempest-fastapi-sdk 0.7.3

Shared FastAPI building blocks: base schemas, ORM model, async repository, exceptions, pagination and settings — the conventions used across Tempest projects.

tempest-fastapi-sdk

Shared FastAPI/SQLAlchemy/Pydantic building blocks used across Tempest projects: base schemas, ORM model, async repository, pagination, settings, exceptions, Alembic helper, FastStream/TaskIQ broker managers, Redis cache, Server-Sent Events, Web Push and the utility classes (PasswordUtils, JWTUtils, EmailUtils, UploadUtils, MetricsUtils, LogUtils).

The goal is to start every new backend with the same opinionated foundation already in place — no copy-pasting BaseModel, no rewriting the same CRUD repository, no re-inventing the exception envelope.

---

Table of contents

• Install
  • Optional extras
• What's inside
• Architecture overview
• Tutorial — building the Users feature
  • 1. Project layout
  • 2. Settings & app entry point
  • 3. ORM model
  • 4. Schemas
  • 5. Domain exceptions
  • 6. Repository
  • 7. Service
  • 8. Router
  • 9. Pagination
• Recipes
  • Authentication
  • File uploads
  • Transactional email
  • Alembic migrations
  • BR document & phone validation
  • Testing
  • Application bootstrap (create_app)
  • Structured logging & request IDs
  • Settings mixins composition
  • Controllers & services layering
  • Audit & soft-delete mixins
  • Cursor pagination
  • Redis cache (AsyncRedisManager)
  • Server-Sent Events (SSE)
  • Web Push notifications
  • Message queues — FastStream (AsyncBrokerManager)
  • Background tasks — TaskIQ (AsyncTaskBrokerManager)
  • System metrics (MetricsUtils)
• Reference
• Conventions
• Development
• Release
• License

---

Install

pip install tempest-fastapi-sdk

Via pyproject.toml:

dependencies = [
    "tempest-fastapi-sdk>=0.7.1",
]

Requires Python >=3.11.

Optional extras

Feature-rich helpers pull in third-party dependencies that you only need when you actually use the helper. Pick the extras the service consumes:

Extra	Pulls in	Unlocks
[auth]	bcrypt, PyJWT	PasswordUtils, JWTUtils
[email]	aiosmtplib	EmailUtils
[upload]	aiofiles, python-multipart	UploadUtils
[cache]	redis	AsyncRedisManager
[webpush]	pywebpush, cryptography	WebPushDispatcher
[metrics]	psutil, nvidia-ml-py	MetricsUtils
[queue]	faststream[rabbit]	AsyncBrokerManager (FastStream)
[tasks]	taskiq, taskiq-aio-pika	AsyncTaskBrokerManager (TaskIQ)
[all]	everything above	every helper

pip install "tempest-fastapi-sdk[auth,upload]"   # only what the service uses
pip install "tempest-fastapi-sdk[all]"           # or pull everything

Since 0.7.1 every optional dependency is imported lazily at first instantiation, so import tempest_fastapi_sdk works with any subset of extras — instantiating a helper whose extra is missing raises ImportError with a clear hint pointing at the right one.

---

What's inside

Module	Exports
tempest_fastapi_sdk.schemas	BaseSchema, BaseResponseSchema, BasePaginationFilterSchema, BasePaginationSchema[T], CursorPaginationFilterSchema, CursorPaginationSchema, encode_cursor, decode_cursor
tempest_fastapi_sdk.db	BaseModel, BaseRepository[ModelType], AsyncDatabaseManager, AlembicHelper, NAMING_CONVENTION, AuditMixin, SoftDeleteMixin
tempest_fastapi_sdk.exceptions	AppException, NotFoundException, ConflictException, ValidationException, UnauthorizedException, ForbiddenException, InvalidTokenException, ExpiredTokenException, FileTooLargeException, InvalidFileTypeException
tempest_fastapi_sdk.settings	BaseAppSettings, ServerSettings, DatabaseSettings, RedisSettings, RabbitMQSettings, JWTSettings, CORSSettings
tempest_fastapi_sdk.api	register_exception_handlers, app_exception_handler, apply_cors, make_health_router, make_token_dependency, require_x_token, RequestIDMiddleware, HealthCheck
tempest_fastapi_sdk.controllers	BaseController
tempest_fastapi_sdk.services	BaseService
tempest_fastapi_sdk.core	configure_logging, JSONFormatter, get_request_id/set_request_id/clear_request_id, request_id_ctx
tempest_fastapi_sdk.sse	EventStream, ServerSentEvent, sse_response
tempest_fastapi_sdk.cache (extra: [cache])	AsyncRedisManager
tempest_fastapi_sdk.webpush (extra: [webpush])	WebPushDispatcher, WebPushError, WebPushGoneError, WebPushSubscriptionSchema, WebPushKeysSchema, WebPushPayloadSchema
tempest_fastapi_sdk.queue (extra: [queue])	AsyncBrokerManager (FastStream lifecycle wrapper)
tempest_fastapi_sdk.tasks (extra: [tasks])	AsyncTaskBrokerManager (TaskIQ lifecycle wrapper)
tempest_fastapi_sdk.utils	to_utc, utcnow, modify_dict, LogUtils, PasswordUtils (extra: [auth]), JWTUtils (extra: [auth]), EmailUtils (extra: [email]), UploadUtils (extra: [upload]), MetricsUtils/CPUMetrics/MemoryMetrics/DiskMetrics/GPUMetrics/SystemMetrics (extra: [metrics]), BR regex helpers (CPF, CNPJ, CPFOrCNPJ, PhoneBR, is_valid_*, normalize_*, only_digits, *_PATTERN)

Core primitives are re-exported from tempest_fastapi_sdk at the top level — from tempest_fastapi_sdk import BaseModel, BaseRepository, AppException always works. The extras-gated managers in tempest_fastapi_sdk.cache, tempest_fastapi_sdk.queue and tempest_fastapi_sdk.tasks must be imported from their own submodule (from tempest_fastapi_sdk.queue import AsyncBrokerManager).

---

Architecture overview

The SDK assumes a layered architecture where each layer has a single, narrow responsibility:

HTTP request
    │
    ▼
┌─────────────┐    receive HTTP, validate input via schemas,
│   Router    │    call service, return response schema.
└──────┬──────┘    No business logic, no DB access.
       │
       ▼
┌─────────────┐    orchestrate use case across one or more services;
│ Controller  │    handle cross-service coordination only.
└──────┬──────┘    Optional — skip for simple CRUD.
       │
       ▼
┌─────────────┐    business rules, validation beyond Pydantic,
│   Service   │    domain decisions. Calls one or more repositories.
└──────┬──────┘    No HTTP types, no SQLAlchemy types.
       │
       ▼
┌─────────────┐    raw data access via SQLAlchemy. CRUD, filters,
│ Repository  │    pagination. Translates between ORM and schemas
└──────┬──────┘    via map_to_* methods. No business decisions.
       │
       ▼
┌─────────────┐    SQLAlchemy AsyncSession on top of asyncpg/aiosqlite.
│  Database   │
└─────────────┘

The SDK ships BaseModel, BaseRepository, BaseSchema and the exception/settings primitives. Routers, services and controllers are your code — the SDK gives you the conventions so they all look the same across projects.

---

Tutorial — building the Users feature

We'll build a complete Users feature from scratch, end to end. Every file below is something you write in your project; SDK primitives are imported.

1. Project layout

app/
├── __init__.py
├── core/
│   ├── __init__.py
│   ├── settings.py       # Settings(BaseAppSettings)
│   └── exceptions.py     # domain exceptions (UserNotFoundError, ...)
├── db/
│   ├── __init__.py       # re-exports BaseModel + every model
│   └── models/
│       ├── __init__.py
│       └── user.py       # UserModel(BaseModel)
├── schemas/
│   ├── __init__.py
│   └── user.py           # UserCreate/Update/Response/Filter
├── repositories/
│   ├── __init__.py
│   └── user.py           # UserRepository(BaseRepository[UserModel])
├── services/
│   ├── __init__.py
│   └── user.py           # UserService
├── api/
│   ├── __init__.py
│   ├── factory.py        # create_app()
│   └── routers/
│       ├── __init__.py
│       └── users.py
└── main.py               # uvicorn entry point

__init__.py re-exports every public symbol from its directory so consumers always do from app.schemas import UserCreateSchema (not from app.schemas.user import UserCreateSchema). This keeps refactors painless — move files around without breaking imports.

2. Settings & app entry point

# app/core/settings.py
from tempest_fastapi_sdk import BaseAppSettings


class Settings(BaseAppSettings):
    """All environment-driven configuration lives here.

    BaseAppSettings already ships `env_file=.env`, `extra=ignore`,
    `case_sensitive=True`, `frozen=True` and `str_strip_whitespace=True`.
    """

    DB_URL: str
    JWT_SECRET: str
    JWT_ALGORITHM: str = "HS256"
    JWT_TTL_HOURS: int = 1

    SMTP_HOST: str = "localhost"
    SMTP_PORT: int = 587
    SMTP_USERNAME: str | None = None
    SMTP_PASSWORD: str | None = None
    SMTP_FROM_ADDR: str = "[e-mail]"

    UPLOAD_DIR: str = "./var/uploads"


settings = Settings()

# app/api/factory.py
from contextlib import asynccontextmanager
from typing import AsyncIterator

from fastapi import FastAPI

from tempest_fastapi_sdk import (
    AsyncDatabaseManager,
    register_exception_handlers,
)

from app.api.routers import users
from app.core.settings import settings


db = AsyncDatabaseManager(settings.DB_URL)


@asynccontextmanager
async def lifespan(app: FastAPI) -> AsyncIterator[None]:
    """Connect on startup, dispose on shutdown."""
    await db.connect()
    yield
    await db.disconnect()


def create_app() -> FastAPI:
    """Build and configure the FastAPI app."""
    app = FastAPI(title="My API", version="0.1.0", lifespan=lifespan)
    register_exception_handlers(app)

    app.include_router(users.router)

    @app.get("/health", tags=["health"])
    async def health() -> dict[str, bool]:
        return {"db": await db.health_check()}

    return app


app = create_app()

# app/main.py
import uvicorn

from app.api.factory import app

if __name__ == "__main__":
    uvicorn.run(app, host="0.0.0.0", port=8000)

3. ORM model

# app/db/models/user.py
from sqlalchemy import String
from sqlalchemy.orm import Mapped, mapped_column

from tempest_fastapi_sdk import BaseModel


class UserModel(BaseModel):
    """One row per registered user.

    Inherits from BaseModel, so it automatically gets:
    - id (UUID v4, cross-DB portable via sqlalchemy.Uuid)
    - is_active (bool, soft-delete flag)
    - created_at, updated_at (timezone-aware TIMESTAMP, set by Python AND
      the DB so the instance attribute is populated right after flush)
    - __tablename__ = "user" (auto: class name without "Model" suffix,
      snake-cased; override by assigning __tablename__ explicitly)
    - __eq__/__hash__ by (type, id) so the same row across sessions
      compares equal
    - to_dict(exclude, include, remove_none) and
      update_from_dict(data, allowed_fields) helpers
    """

    name: Mapped[str] = mapped_column(String(64), nullable=False)
    email: Mapped[str] = mapped_column(String(128), unique=True, nullable=False)
    password_hash: Mapped[str] = mapped_column(String(128), nullable=False)

Re-export it:

# app/db/models/__init__.py
from app.db.models.user import UserModel

__all__: list[str] = ["UserModel"]

# app/db/__init__.py
from app.db.models import UserModel
from tempest_fastapi_sdk import BaseModel

__all__: list[str] = ["BaseModel", "UserModel"]

Tip: Always import models in app/db/__init__.py. SQLAlchemy needs to "see" every model before BaseModel.metadata is complete, so Alembic autogenerate and create_tables() work correctly.

4. Schemas

The recommended naming pattern: one *Create, *Update, *Response and *Filter schema per resource.

# app/schemas/user.py
from pydantic import EmailStr, Field

from tempest_fastapi_sdk import (
    BasePaginationFilterSchema,
    BaseResponseSchema,
    BaseSchema,
)


class UserCreateSchema(BaseSchema):
    """Payload for POST /users."""

    name: str = Field(min_length=1, max_length=64)
    email: EmailStr
    password: str = Field(min_length=8, max_length=128)


class UserUpdateSchema(BaseSchema):
    """Partial payload for PATCH /users/{id}. Every field optional."""

    name: str | None = Field(default=None, min_length=1, max_length=64)
    email: EmailStr | None = None


class UserResponseSchema(BaseResponseSchema):
    """Outbound representation.

    Inherits id/is_active/created_at/updated_at from BaseResponseSchema
    (timestamps already normalized to UTC by the field validator).
    """

    name: str
    email: EmailStr


class UserFilterSchema(BasePaginationFilterSchema):
    """Query-string filters for GET /users.

    Inherits page/size/order_by/ascending/is_active from
    BasePaginationFilterSchema. Add domain-level filters below.
    """

    name: str | None = None              # ILIKE %name% search
    email: EmailStr | None = None        # exact-match filter

# app/schemas/__init__.py
from app.schemas.user import (
    UserCreateSchema,
    UserFilterSchema,
    UserResponseSchema,
    UserUpdateSchema,
)

__all__: list[str] = [
    "UserCreateSchema",
    "UserFilterSchema",
    "UserResponseSchema",
    "UserUpdateSchema",
]

5. Domain exceptions

The SDK ships generic NotFoundException, ConflictException, etc. Subclass them per domain so error responses have a useful code field:

# app/core/exceptions.py
from typing import ClassVar

from tempest_fastapi_sdk import ConflictException, NotFoundException


class UserNotFoundError(NotFoundException):
    message: str = "Usuário não encontrado"
    code: ClassVar[str] = "USER_NOT_FOUND"


class UserEmailAlreadyTakenError(ConflictException):
    message: str = "Já existe um usuário com esse e-mail"
    code: ClassVar[str] = "USER_EMAIL_TAKEN"

The SDK's exception handler (register_exception_handlers) serializes them to:

{
    "detail": "Usuário não encontrado",
    "code": "USER_NOT_FOUND",
    "details": {}
}

The frontend branches on code, not on the (potentially translated) message.

6. Repository

# app/repositories/user.py
from typing import ClassVar

from tempest_fastapi_sdk import AppException, BaseRepository

from app.core.exceptions import UserNotFoundError
from app.db.models import UserModel
from app.schemas import UserResponseSchema


class UserRepository(BaseRepository[UserModel]):
    """Data-access layer for users."""

    model: type[UserModel] = UserModel
    not_found_exception: ClassVar[type[AppException]] = UserNotFoundError

    def map_to_schema(self, instance: UserModel) -> UserResponseSchema:
        return UserResponseSchema.model_validate(instance)

    def map_to_response(self, instance: UserModel) -> UserResponseSchema:
        return self.map_to_schema(instance)

Per-domain error messages (optional but recommended in real apps):

class UserRepository(BaseRepository[UserModel]):
    model: type[UserModel] = UserModel
    not_found_exception: ClassVar[type[AppException]] = UserNotFoundError

    def __init__(self, session: AsyncSession) -> None:
        super().__init__(
            session,
            not_found_message="Usuário não encontrado",
            create_conflict_message="Já existe um usuário com esse e-mail",
            update_conflict_message="Conflito ao atualizar usuário",
        )

The base repo gives you 17 methods for free — see the reference table below. Add custom methods on top:

async def get_by_email(self, email: str) -> UserModel:
    """Look up a user by email. Raises UserNotFoundError on miss."""
    return await self.get({"email": email})

7. Service

The service is where business rules live. It calls one or more repositories and never touches HTTP or SQLAlchemy types directly.

# app/services/user.py
from sqlalchemy.ext.asyncio import AsyncSession

from tempest_fastapi_sdk import (
    BasePaginationSchema,
    PasswordUtils,
)

from app.core.exceptions import UserEmailAlreadyTakenError
from app.repositories.user import UserRepository
from app.schemas import (
    UserCreateSchema,
    UserFilterSchema,
    UserResponseSchema,
    UserUpdateSchema,
)


class UserService:
    def __init__(
        self,
        session: AsyncSession,
        passwords: PasswordUtils,
    ) -> None:
        self.repo = UserRepository(session)
        self.passwords = passwords

    async def create(self, data: UserCreateSchema) -> UserResponseSchema:
        if await self.repo.exists({"email": data.email}):
            raise UserEmailAlreadyTakenError()
        user = self.repo.map_to_model(
            {
                **data.to_dict(exclude=["password"]),
                "password_hash": self.passwords.hash(data.password),
            }
        )
        user = await self.repo.add(user)
        return self.repo.map_to_response(user)

    async def get(self, user_id: UUID) -> UserResponseSchema:
        user = await self.repo.get_by_id(user_id)
        return self.repo.map_to_response(user)

    async def update(
        self,
        user_id: UUID,
        data: UserUpdateSchema,
    ) -> UserResponseSchema:
        user = await self.repo.get_by_id(user_id)
        user.update_from_dict(
            data.to_dict(),
            allowed_fields={"name", "email"},   # prevents mass-assignment
        )
        user = await self.repo.update(user)
        return self.repo.map_to_response(user)

    async def soft_delete(self, user_id: UUID) -> None:
        await self.repo.soft_delete(user_id)

    async def list_paginated(
        self,
        filters: UserFilterSchema,
    ) -> BasePaginationSchema[UserResponseSchema]:
        page = await self.repo.paginate(
            filters=filters.get_conditions(),
            page=filters.page,
            page_size=filters.size,
            order_by=filters.order_by,
            ascending=filters.ascending,
        )
        return BasePaginationSchema[UserResponseSchema](
            items=[self.repo.map_to_response(u) for u in page["items"]],
            total=page["total"],
            page=page["page"],
            size=page["size"],
            pages=page["pages"],
        )

8. Router

# app/api/routers/users.py
from uuid import UUID

from fastapi import APIRouter, Depends, status
from sqlalchemy.ext.asyncio import AsyncSession

from tempest_fastapi_sdk import BasePaginationSchema, PasswordUtils

from app.api.factory import db
from app.core.settings import settings
from app.schemas import (
    UserCreateSchema,
    UserFilterSchema,
    UserResponseSchema,
    UserUpdateSchema,
)
from app.services.user import UserService


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

# Single PasswordUtils instance per process — bcrypt is stateless.
_passwords = PasswordUtils()


def get_service(
    session: AsyncSession = Depends(db.session_dependency),
) -> UserService:
    return UserService(session, _passwords)


@router.post(
    "",
    response_model=UserResponseSchema,
    status_code=status.HTTP_201_CREATED,
)
async def create_user(
    data: UserCreateSchema,
    service: UserService = Depends(get_service),
) -> UserResponseSchema:
    return await service.create(data)


@router.get("/{user_id}", response_model=UserResponseSchema)
async def get_user(
    user_id: UUID,
    service: UserService = Depends(get_service),
) -> UserResponseSchema:
    return await service.get(user_id)


@router.patch("/{user_id}", response_model=UserResponseSchema)
async def update_user(
    user_id: UUID,
    data: UserUpdateSchema,
    service: UserService = Depends(get_service),
) -> UserResponseSchema:
    return await service.update(user_id, data)


@router.delete("/{user_id}", status_code=status.HTTP_204_NO_CONTENT)
async def delete_user(
    user_id: UUID,
    service: UserService = Depends(get_service),
) -> None:
    await service.soft_delete(user_id)


@router.get("", response_model=BasePaginationSchema[UserResponseSchema])
async def list_users(
    filters: UserFilterSchema = Depends(),
    service: UserService = Depends(get_service),
) -> BasePaginationSchema[UserResponseSchema]:
    return await service.list_paginated(filters)

9. Pagination

The pagination contract is enforced end-to-end by SDK primitives:

• UserFilterSchema(BasePaginationFilterSchema) parses ?page=&size=&order_by=&ascending=&is_active=&name= from the query string and exposes .get_conditions() returning only the domain-level filters (without pagination keys).
• UserRepository.paginate(...) runs the query with the filter dict + ordering + offset/limit + count, returning {items, total, page, size, pages}.
• BasePaginationSchema[UserResponseSchema] wraps the result so OpenAPI documents the response shape correctly.

GET /users?page=2&size=20&order_by=name&ascending=true&is_active=true&name=ana

Returns:

{
    "items": [
        {"id": "...", "name": "Ana ...", "email": "...", ...},
        ...
    ],
    "total": 142,
    "page": 2,
    "size": 20,
    "pages": 8
}

---

Recipes

Authentication recipe

End-to-end signup + login + protected route using PasswordUtils and JWTUtils. Requires the [auth] extra.

Wire the utility singletons

# app/core/security.py
from datetime import timedelta

from tempest_fastapi_sdk import JWTUtils, PasswordUtils

from app.core.settings import settings


passwords = PasswordUtils(rounds=12)

tokens = JWTUtils(
    secret=settings.JWT_SECRET,
    algorithm=settings.JWT_ALGORITHM,
    default_ttl=timedelta(hours=settings.JWT_TTL_HOURS),
    issuer="my-app",
)

Signup

Reuse the UserService.create defined in the tutorial — it already hashes the password.

Login

# app/schemas/auth.py
from pydantic import EmailStr

from tempest_fastapi_sdk import BaseSchema


class LoginSchema(BaseSchema):
    email: EmailStr
    password: str


class TokenResponseSchema(BaseSchema):
    access_token: str
    token_type: str = "bearer"

# app/services/auth.py
from sqlalchemy.ext.asyncio import AsyncSession

from tempest_fastapi_sdk import JWTUtils, PasswordUtils, UnauthorizedException

from app.repositories.user import UserRepository
from app.schemas.auth import LoginSchema, TokenResponseSchema


class AuthService:
    def __init__(
        self,
        session: AsyncSession,
        passwords: PasswordUtils,
        tokens: JWTUtils,
    ) -> None:
        self.repo = UserRepository(session)
        self.passwords = passwords
        self.tokens = tokens

    async def login(self, data: LoginSchema) -> TokenResponseSchema:
        user = await self.repo.get_or_none({"email": data.email})
        if user is None or not self.passwords.verify(
            data.password, user.password_hash
        ):
            # Same error for both cases — don't leak which one failed.
            raise UnauthorizedException(message="E-mail ou senha inválidos")
        token = self.tokens.encode({"sub": str(user.id)})
        return TokenResponseSchema(access_token=token)

# app/api/routers/auth.py
from fastapi import APIRouter, Depends
from sqlalchemy.ext.asyncio import AsyncSession

from app.api.factory import db
from app.core.security import passwords, tokens
from app.schemas.auth import LoginSchema, TokenResponseSchema
from app.services.auth import AuthService


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


def get_auth_service(
    session: AsyncSession = Depends(db.session_dependency),
) -> AuthService:
    return AuthService(session, passwords, tokens)


@router.post("/login", response_model=TokenResponseSchema)
async def login(
    data: LoginSchema,
    service: AuthService = Depends(get_auth_service),
) -> TokenResponseSchema:
    return await service.login(data)

Protect a route — JWT dependency

# app/api/dependencies/auth.py
from uuid import UUID

from fastapi import Depends
from fastapi.security import HTTPAuthorizationCredentials, HTTPBearer
from sqlalchemy.ext.asyncio import AsyncSession

from tempest_fastapi_sdk import UnauthorizedException

from app.api.factory import db
from app.core.security import tokens
from app.db.models import UserModel
from app.repositories.user import UserRepository


bearer = HTTPBearer(auto_error=False)


async def get_current_user(
    credentials: HTTPAuthorizationCredentials | None = Depends(bearer),
    session: AsyncSession = Depends(db.session_dependency),
) -> UserModel:
    if credentials is None:
        raise UnauthorizedException(message="Token ausente")
    payload = tokens.decode(credentials.credentials)
    # `tokens.decode` raises InvalidTokenException / ExpiredTokenException
    # already — both serialize to 401 with proper `code`.
    user_id = UUID(payload["sub"])
    repo = UserRepository(session)
    return await repo.get_by_id(user_id)

# Use in any route
@router.get("/me", response_model=UserResponseSchema)
async def me(current: UserModel = Depends(get_current_user)) -> UserResponseSchema:
    return UserResponseSchema.model_validate(current)

Soft auth (optional user)

For endpoints that work both authenticated and anonymous, use decode_or_none:

async def get_current_user_or_none(
    credentials: HTTPAuthorizationCredentials | None = Depends(bearer),
    session: AsyncSession = Depends(db.session_dependency),
) -> UserModel | None:
    if credentials is None:
        return None
    payload = tokens.decode_or_none(credentials.credentials)
    if payload is None:
        return None
    repo = UserRepository(session)
    return await repo.get_or_none({"id": UUID(payload["sub"])})

---

File uploads recipe

Avatar endpoint with validation + cleanup. Requires the [upload] extra.

# app/core/storage.py
from tempest_fastapi_sdk import UploadUtils

from app.core.settings import settings


avatar_storage = UploadUtils(
    upload_dir=f"{settings.UPLOAD_DIR}/avatars",
    max_size_bytes=5 * 1024 * 1024,            # 5 MiB
    allowed_extensions={"png", "jpg", "jpeg", "webp"},
    allowed_mimetypes={"image/png", "image/jpeg", "image/webp"},
)

# app/api/routers/users.py (extension)
from fastapi import UploadFile

from app.core.storage import avatar_storage


@router.post("/{user_id}/avatar", response_model=UserResponseSchema)
async def upload_avatar(
    user_id: UUID,
    file: UploadFile,
    current: UserModel = Depends(get_current_user),
    service: UserService = Depends(get_service),
) -> UserResponseSchema:
    if current.id != user_id:
        raise ForbiddenException(message="Só pode editar o próprio avatar")
    path = await avatar_storage.save(file, subdir=str(user_id))
    return await service.set_avatar(user_id, str(path))

Inside the service:

async def set_avatar(self, user_id: UUID, path: str) -> UserResponseSchema:
    user = await self.repo.get_by_id(user_id)
    # Delete previous file when replacing.
    if user.avatar_path and user.avatar_path != path:
        avatar_storage.delete(user.avatar_path)
    user.avatar_path = path
    user = await self.repo.update(user)
    return self.repo.map_to_response(user)

UploadUtils.save() raises FileTooLargeException (413) or InvalidFileTypeException (415) on rejection — the SDK's exception handler already returns the right status code with a code field on the response.

Serving the file back

Local-disk uploads are best served by an upstream (nginx / Caddy) so FastAPI doesn't stream bytes. For dev:

from fastapi.staticfiles import StaticFiles

app.mount(
    "/static/uploads",
    StaticFiles(directory=settings.UPLOAD_DIR),
    name="uploads",
)

Construct the public URL in the response schema:

class UserResponseSchema(BaseResponseSchema):
    name: str
    email: EmailStr
    avatar_url: str | None = None

    @field_validator("avatar_url", mode="before")
    @classmethod
    def _absolute_url(cls, value: str | None) -> str | None:
        if value is None:
            return None
        # avatar_path stored as relative path → public URL
        return f"/static/uploads/{value}"

---

Transactional email recipe

Password reset flow using EmailUtils + a short-lived JWT. Requires the [email] extra.

# app/core/mailer.py
from tempest_fastapi_sdk import EmailUtils

from app.core.settings import settings


mailer = EmailUtils(
    host=settings.SMTP_HOST,
    port=settings.SMTP_PORT,
    from_addr=settings.SMTP_FROM_ADDR,
    username=settings.SMTP_USERNAME,
    password=settings.SMTP_PASSWORD,
    use_starttls=True,
)

# app/services/password_reset.py
from datetime import timedelta

from tempest_fastapi_sdk import EmailUtils, JWTUtils, NotFoundException

from app.repositories.user import UserRepository


class PasswordResetService:
    def __init__(
        self,
        repo: UserRepository,
        tokens: JWTUtils,
        mailer: EmailUtils,
    ) -> None:
        self.repo = repo
        self.tokens = tokens
        self.mailer = mailer

    async def request_reset(self, email: str) -> None:
        """Send a password-reset link to `email`.

        Always returns silently — don't reveal whether the email
        is registered or not (avoids account enumeration).
        """
        user = await self.repo.get_or_none({"email": email})
        if user is None:
            return
        token = self.tokens.encode(
            {"sub": str(user.id), "purpose": "password_reset"},
            ttl=timedelta(minutes=15),
        )
        reset_url = f"https://my-app.com/reset-password?token={token}"
        await self.mailer.send(
            to=user.email,
            subject="Reset your password",
            body=f"Click here to reset your password: {reset_url}",
            html=f'<p>Click <a href="{reset_url}">here</a> to reset.</p>',
        )

    async def consume_reset(
        self,
        token: str,
        new_password: str,
        passwords: PasswordUtils,
    ) -> None:
        # `decode` raises InvalidTokenException / ExpiredTokenException
        # (both 401). Caught by the SDK handler.
        payload = self.tokens.decode(token)
        if payload.get("purpose") != "password_reset":
            raise InvalidTokenException()
        user = await self.repo.get_by_id(UUID(payload["sub"]))
        user.password_hash = passwords.hash(new_password)
        await self.repo.update(user)

---

Alembic migrations recipe

Full workflow: bootstrap → first migration → apply → CI gate.

Bootstrap once per project

# scripts/alembic_init.py
from tempest_fastapi_sdk import AlembicHelper

from app.core.settings import settings

helper = AlembicHelper(config_path="alembic.ini", db_url=settings.DB_URL)
helper.init(
    directory="alembic",
    metadata_module="app.db",        # exposes BaseModel
    metadata_attr="BaseModel",
    db_url=settings.DB_URL,
)

Run once: uv run python scripts/alembic_init.py.

This creates:

alembic.ini                 # SDK-curated config (UTC timezone, date-prefixed file template)
alembic/
├── env.py                  # SDK template (already wires target_metadata, compare_type, batch mode)
├── script.py.mako
└── versions/

Author migrations

# scripts/make_migration.py
import sys

from tempest_fastapi_sdk import AlembicHelper

from app.core.settings import settings

helper = AlembicHelper("alembic.ini", db_url=settings.DB_URL)
helper.revision(
    message=sys.argv[1],
    autogenerate=True,
)

uv run python scripts/make_migration.py "add users table"

Generated file lands at alembic/versions/2026_05_16_1432-ae12cd34_add_users_table.py — the date prefix means files sort chronologically and merge conflicts are obvious.

Apply on startup

# app/api/factory.py — extend lifespan
import asyncio

from tempest_fastapi_sdk import AlembicHelper


@asynccontextmanager
async def lifespan(app: FastAPI) -> AsyncIterator[None]:
    # Run pending migrations before serving traffic.
    helper = AlembicHelper("alembic.ini", db_url=settings.DB_URL)
    await asyncio.to_thread(helper.upgrade)

    await db.connect()
    yield
    await db.disconnect()

CI gate — schema must match models

# scripts/check_migrations.py
import sys

from tempest_fastapi_sdk import AlembicHelper

from app.core.settings import settings

helper = AlembicHelper("alembic.ini", db_url=settings.DB_URL)
if not helper.check():
    print("Schema drift detected — run make_migration.py and commit.")
    sys.exit(1)
print("Schema is in sync.")

# .github/workflows/ci.yml
- name: Check migrations are in sync
  run: uv run python scripts/check_migrations.py

---

BR document & phone validation recipe

tempest_fastapi_sdk.utils.regex ships ready-to-use regex patterns, validators, normalizers and Pydantic types for the identity/contact fields that show up in almost every Brazilian API. No extra required — pure stdlib + Pydantic (already a core dependency).

Symbol	Kind	Purpose
CPF_PATTERN, CNPJ_PATTERN, CPF_CNPJ_PATTERN, PHONE_BR_PATTERN	re.Pattern[str]	Compiled regex (masked or raw input).
is_valid_cpf, is_valid_cnpj, is_valid_cpf_cnpj	(str) -> bool	Format match + check-digit math. All-same-digit sequences rejected.
is_valid_phone_br	(str) -> bool	BR phone shape: optional +55, optional DDD, optional 9th digit.
normalize_cpf, normalize_cnpj, normalize_cpf_cnpj, normalize_phone_br	(str) -> str	Strip mask to digits-only; raise ValueError if invalid.
only_digits	(str) -> str	Strip every non-digit character.
CPF, CNPJ, CPFOrCNPJ, PhoneBR	Annotated[str, AfterValidator(...)]	Drop-in Pydantic field types — validate + normalize automatically.

Schema usage

from pydantic import EmailStr, Field

from tempest_fastapi_sdk import BaseSchema
from tempest_fastapi_sdk.utils import CPF, CPFOrCNPJ, PhoneBR


class CustomerCreateSchema(BaseSchema):
    """Payload for POST /customers.

    `document` accepts CPF or CNPJ in masked or raw form and is
    stored digits-only after validation. `phone` is normalized the
    same way. Invalid values surface as a Pydantic `ValidationError`
    (HTTP 422 via the SDK exception handler).
    """

    name: str = Field(min_length=1, max_length=128)
    email: EmailStr
    document: CPFOrCNPJ
    phone: PhoneBR

Valid input:

{
    "name": "Ana",
    "email": "[e-mail]",
    "document": "529.982.247-25",
    "phone": "[phone]"
}

After validation:

CustomerCreateSchema(...).document  # "52998224725"
CustomerCreateSchema(...).phone     # "5511988887777"

Manual validation (services, controllers, queue handlers)

from tempest_fastapi_sdk.utils import (
    is_valid_cpf_cnpj,
    normalize_cpf_cnpj,
    only_digits,
)

if not is_valid_cpf_cnpj(raw_document):
    raise ValidationException(message="Documento inválido")

document_digits = normalize_cpf_cnpj(raw_document)

Filtering by stored digits

The normalizers strip masks before saving, so repository filters and unique constraints all work on the canonical digits-only form:

await repo.get({"document": normalize_cpf_cnpj(query)})

---

Testing recipe

pytest + pytest-asyncio + in-memory SQLite + FastAPI TestClient.

Shared fixtures

# tests/conftest.py
from collections.abc import AsyncGenerator

import pytest_asyncio
from fastapi.testclient import TestClient
from sqlalchemy.ext.asyncio import AsyncSession

from tempest_fastapi_sdk import AsyncDatabaseManager

from app.api.factory import create_app
from app.db import BaseModel       # importing BaseModel ensures models are registered


@pytest_asyncio.fixture
async def db() -> AsyncGenerator[AsyncDatabaseManager, None]:
    """Fresh in-memory DB per test."""
    manager = AsyncDatabaseManager("sqlite+aiosqlite:///:memory:")
    await manager.connect()
    await manager.create_tables()
    try:
        yield manager
    finally:
        await manager.drop_tables()
        await manager.disconnect()


@pytest_asyncio.fixture
async def session(db: AsyncDatabaseManager) -> AsyncGenerator[AsyncSession, None]:
    """Managed session bound to the in-memory DB."""
    async with db.get_session_context() as session:
        yield session


@pytest_asyncio.fixture
async def client(db: AsyncDatabaseManager) -> AsyncGenerator[TestClient, None]:
    """FastAPI TestClient with the SDK manager overridden to use SQLite."""
    app = create_app()
    # Override the session dependency to use the test DB.
    from app.api.factory import db as production_db

    app.dependency_overrides[production_db.session_dependency] = db.session_dependency

    async with TestClient(app) as client:
        yield client

Repository test

# tests/repositories/test_user.py
import pytest
from sqlalchemy.ext.asyncio import AsyncSession

from app.core.exceptions import UserNotFoundError
from app.db.models import UserModel
from app.repositories.user import UserRepository


class TestUserRepository:
    async def test_get_by_email_raises_when_missing(
        self, session: AsyncSession
    ) -> None:
        repo = UserRepository(session)
        with pytest.raises(UserNotFoundError):
            await repo.get({"email": "[e-mail]"})

    async def test_add_and_get(self, session: AsyncSession) -> None:
        repo = UserRepository(session)
        user = await repo.add(
            UserModel(
                name="Ana", email="[e-mail]", password_hash="x"
            )
        )
        loaded = await repo.get_by_id(user.id)
        assert loaded.name == "Ana"

Endpoint test

# tests/api/test_users.py
from fastapi.testclient import TestClient


class TestUsersAPI:
    def test_create_user(self, client: TestClient) -> None:
        response = client.post(
            "/users",
            json={
                "name": "Ana",
                "email": "[e-mail]",
                "password": "hunter22",
            },
        )
        assert response.status_code == 201
        body = response.json()
        assert body["email"] == "[e-mail]"
        assert "password" not in body
        assert "password_hash" not in body

    def test_get_user_not_found(self, client: TestClient) -> None:
        response = client.get("/users/00000000-0000-0000-0000-000000000000")
        assert response.status_code == 404
        body = response.json()
        # SDK envelope is always {detail, code, details}
        assert body["code"] == "USER_NOT_FOUND"

The SDK also ships tempest_fastapi_sdk.testing helpers (create_test_engine, create_test_session_factory, init_test_metadata, drop_test_metadata, test_database, test_session) for tests that don't need a full AsyncDatabaseManager:

from tempest_fastapi_sdk.testing import test_session

async def test_repo_directly() -> None:
    async with test_session() as session:
        repo = UserRepository(session)
        await repo.add(UserModel(name="Ana", email="[e-mail]", password_hash="x"))
        assert await repo.count() == 1

Application bootstrap recipe

The SDK ships every piece of an app.py factory: exception handlers, CORS, request-ID middleware, the health router and a shared-secret token dependency. A full bootstrap looks like this:

# app/api/factory.py
from contextlib import asynccontextmanager
from collections.abc import AsyncIterator

from fastapi import FastAPI

from tempest_fastapi_sdk import (
    AsyncDatabaseManager,
    RequestIDMiddleware,
    apply_cors,
    configure_logging,
    make_health_router,
    make_token_dependency,
    register_exception_handlers,
)
from tempest_fastapi_sdk.cache import AsyncRedisManager

from app.core.settings import settings


configure_logging(level=settings.LOG_LEVEL, json_output=settings.LOG_JSON)

db = AsyncDatabaseManager(
    settings.DATABASE_URL,
    echo=settings.DATABASE_ECHO,
    pool_size=settings.DATABASE_POOL_SIZE,
    max_overflow=settings.DATABASE_MAX_OVERFLOW,
    pool_recycle=settings.DATABASE_POOL_RECYCLE,
)
redis = AsyncRedisManager(settings.REDIS_URL)
require_token = make_token_dependency(settings.TOKEN_SECRET)


@asynccontextmanager
async def lifespan(_: FastAPI) -> AsyncIterator[None]:
    await db.connect()
    await redis.connect()
    try:
        yield
    finally:
        await redis.disconnect()
        await db.disconnect()


def create_app() -> FastAPI:
    app = FastAPI(
        title="my-service",
        version=settings.VERSION,
        lifespan=lifespan,
    )

    app.add_middleware(RequestIDMiddleware)
    apply_cors(app, settings)
    register_exception_handlers(app)

    app.include_router(
        make_health_router(
            db=db,
            checks={"redis": redis.health_check},
            version=settings.VERSION,
        ),
    )

    from app.api.routers import users

    app.include_router(users.router, prefix="/api", dependencies=[Depends(require_token)])
    return app

Key points:

• RequestIDMiddleware reads/writes X-Request-ID and seeds request_id_ctx so every log line emitted during the request carries the correlation ID.
• apply_cors(app, settings) reads CORSSettings defaults; pass keyword overrides for one-off changes.
• register_exception_handlers(app) wires every AppException subclass to the canonical {detail, code, details} envelope.
• make_health_router(db=db, checks={"redis": redis.health_check}, version=...) mounts GET /health/liveness and GET /health/readiness (returns 503 when any check fails).
• make_token_dependency(secret) returns an async dependency that validates X-Token with hmac.compare_digest; pass empty string to disable in dev.

Structured logging & request IDs recipe

configure_logging installs a JSON handler on the root logger that emits one-line JSON records carrying the active request ID. LogUtils is a thin facade that adds level methods accepting structured **fields.

from tempest_fastapi_sdk import LogUtils, configure_logging
from tempest_fastapi_sdk.core import get_request_id

# Imperative — call once during bootstrap.
configure_logging(level="INFO", json_output=True)

# Facade — handy for service-wide singletons.
log = LogUtils("app.users", level="INFO")
log.info("user_created", user_id=str(user.id), email=user.email)
log.warning("login_throttled", ip="1.2.3.4", attempts=5)

try:
    risky()
except RuntimeError:
    log.exception("risky_failed", op="reconcile")  # appends traceback

# Surface the correlation ID outside the log line if needed.
request_id = get_request_id()

JSON output (single line — formatted here for readability):

{
  "timestamp": "2026-05-16T20:14:33.412+00:00Z",
  "level": "INFO",
  "logger": "app.users",
  "message": "user_created",
  "request_id": "d83e4b0c-7c2f-4bd6-aaa1-7d4f6cf5e5e9",
  "user_id": "9c1a5b2d-...",
  "email": "[e-mail]"
}

The middleware accepts a custom header name (RequestIDMiddleware(app, header_name="X-Correlation-ID")); the same header is echoed back on every response.

Settings mixins composition recipe

BaseAppSettings is the configured pydantic-settings base. The SDK also exposes composable mixins for the most common dependencies; pick the ones the service needs and put BaseAppSettings at the end of the MRO so its model_config wins.

# app/core/settings.py
from pydantic import Field

from tempest_fastapi_sdk import (
    BaseAppSettings,
    CORSSettings,
    DatabaseSettings,
    JWTSettings,
    RabbitMQSettings,
    RedisSettings,
    ServerSettings,
)


class Settings(
    ServerSettings,
    DatabaseSettings,
    RedisSettings,
    RabbitMQSettings,
    JWTSettings,
    CORSSettings,
    BaseAppSettings,
):
    """Service-wide settings."""

    VERSION: str = Field(default="0.0.0")
    TOKEN_SECRET: str = Field(default="")


settings = Settings()

Each mixin advertises its own env vars (SERVER_* lives on ServerSettings, DATABASE_* on DatabaseSettings, REDIS_* on RedisSettings, RABBITMQ_* on RabbitMQSettings, JWT_* on JWTSettings, CORS_* on CORSSettings). Skip the mixins the service doesn't use; mix them in and the .env keys are picked up automatically.

Controllers & services layering recipe

BaseService[RepositoryT, ResponseT] and BaseController[ServiceT, ResponseT] are generic skeletons matching the SDK layering (router → controller → service → repository). They expose pass-through CRUD methods so simple endpoints can subclass them without overriding anything; you override only methods that need orchestration.

# app/services/user_service.py
from uuid import UUID

from tempest_fastapi_sdk import BaseService

from app.repositories.user import UserRepository
from app.schemas.user import UserCreate, UserResponse, UserUpdate
from app.utils.security import password_utils


class UserService(BaseService[UserRepository, UserResponse]):
    """Business logic for the user feature."""

    async def signup(self, data: UserCreate) -> UserResponse:
        # Business logic — hash the password, then delegate to the repo.
        instance = self.repository.map_to_model(
            {
                "name": data.name,
                "email": data.email,
                "password_hash": password_utils.hash(data.password),
            },
        )
        created = await self.repository.add(instance)
        return self.repository.map_to_response(created)


# app/controllers/user_controller.py
from tempest_fastapi_sdk import BaseController

from app.schemas.user import UserCreate, UserResponse
from app.services.user_service import UserService


class UserController(BaseController[UserService, UserResponse]):
    """Thin orchestration over UserService."""

    async def signup(self, data: UserCreate) -> UserResponse:
        # Pass-through today; the controller is the seam to add
        # cross-service coordination later (audit log, outbox event,
        # downstream notification, etc.) without touching the router.
        return await self.service.signup(data)


# app/api/dependencies/controllers.py
from fastapi import Depends
from sqlalchemy.ext.asyncio import AsyncSession

from app.api.factory import db
from app.controllers.user_controller import UserController
from app.repositories.user import UserRepository
from app.services.user_service import UserService


def get_user_controller(
    session: AsyncSession = Depends(db.session_dependency),
) -> UserController:
    return UserController(UserService(UserRepository(session)))


# app/api/routers/users.py
from fastapi import APIRouter, Depends, status

from app.api.dependencies.controllers import get_user_controller
from app.controllers.user_controller import UserController
from app.schemas.user import UserCreate, UserResponse

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


@router.post(
    "/",
    response_model=UserResponse,
    status_code=status.HTTP_201_CREATED,
)
async def create_user(
    data: UserCreate,
    controller: UserController = Depends(get_user_controller),
) -> UserResponse:
    return await controller.signup(data)

Keep controllers present even when they only pass through — the import graph stays uniform across services, so adding cross-cutting policy later doesn't change the router signature.

Audit & soft-delete mixins recipe

SoftDeleteMixin adds a deleted_at timestamp column with mark_deleted() / mark_restored() / is_deleted helpers. AuditMixin adds created_by / updated_by UUID columns with stamp_created_by(user_id) / stamp_updated_by(user_id) helpers. Mix them in alongside BaseModel:

# app/db/models/user.py
from sqlalchemy.orm import Mapped, mapped_column

from tempest_fastapi_sdk import AuditMixin, BaseModel, SoftDeleteMixin


class UserModel(BaseModel, SoftDeleteMixin, AuditMixin):
    """Users — soft-deletable and audited."""

    name: Mapped[str] = mapped_column()
    email: Mapped[str] = mapped_column(unique=True)
    password_hash: Mapped[str] = mapped_column()

Filtering is the caller's responsibility — the mixin doesn't install a global filter. Hide soft-deleted rows from list endpoints by passing deleted_at=None (or filtering in your repository subclass):

async def list_alive(self) -> list[UserResponse]:
    instances = await self.repository.list(filters={"deleted_at": None})
    return [self.repository.map_to_response(i) for i in instances]

Stamping audit columns belongs to the service layer where the current user is in scope:

async def update(self, user_id: UUID, data: UserUpdate, *, actor_id: UUID) -> UserResponse:
    instance = await self.repository.get_by_id(user_id)
    instance.update_from_dict(data.model_dump(exclude_unset=True))
    instance.stamp_updated_by(actor_id)
    updated = await self.repository.update(instance)
    return self.repository.map_to_response(updated)

Use the mixin's helpers (mark_deleted / mark_restored) when you want the deleted_at semantics; use BaseRepository.soft_delete(id) when the existing is_active flag is enough.

Cursor pagination recipe

Cursor pagination scales better than offset pagination on big tables (no COUNT(*), stable under concurrent inserts) at the cost of losing random-access. The SDK provides CursorPaginationFilterSchema, CursorPaginationSchema[T] and the opaque encode_cursor / decode_cursor helpers.

# app/schemas/user.py
from tempest_fastapi_sdk import CursorPaginationFilterSchema, CursorPaginationSchema

from app.schemas.user import UserResponse


class UserCursorFilter(CursorPaginationFilterSchema):
    name: str | None = None  # ILIKE %value% via repository convention


UserCursorPage = CursorPaginationSchema[UserResponse]

Repository helper (cursor over created_at + id tie-break):

# app/repositories/user.py
from sqlalchemy import asc, desc

from tempest_fastapi_sdk import BaseRepository, decode_cursor, encode_cursor

from app.db.models.user import UserModel
from app.schemas.user import UserResponse


class UserRepository(BaseRepository[UserModel]):
    model = UserModel

    async def cursor_page(
        self,
        *,
        cursor: str | None,
        limit: int,
        ascending: bool,
        filters: dict[str, Any] | None = None,
    ) -> UserCursorPage:
        query = select(UserModel)
        if filters:
            query = self._apply_filters(query, filters)

        order = asc if ascending else desc
        query = query.order_by(order(UserModel.created_at), order(UserModel.id))

        if cursor is not None:
            state = decode_cursor(cursor)
            cmp = (UserModel.created_at, UserModel.id) > (state["value"], state["id"])
            query = query.where(cmp if ascending else ~cmp)

        query = query.limit(limit + 1)  # peek one ahead to set has_more
        result = await self.session.execute(query)
        rows = list(result.unique().scalars().all())
        has_more = len(rows) > limit
        rows = rows[:limit]
        next_cursor = (
            encode_cursor(
                {"id": str(rows[-1].id), "value": rows[-1].created_at.isoformat()},
            )
            if has_more and rows
            else None
        )
        return UserCursorPage(
            items=[self.map_to_response(r) for r in rows],
            next_cursor=next_cursor,
            has_more=has_more,
            limit=limit,
        )

Router:

@router.get("/", response_model=UserCursorPage)
async def list_users(
    f: UserCursorFilter = Depends(),
    controller: UserController = Depends(get_user_controller),
) -> UserCursorPage:
    return await controller.service.repository.cursor_page(
        cursor=f.cursor,
        limit=f.limit,
        ascending=f.ascending,
        filters=f.get_conditions(),
    )

The cursor is opaque base64-url-safe JSON — clients never inspect it; they pass back the value verbatim until next_cursor becomes null.

Redis cache recipe

AsyncRedisManager wraps redis.asyncio with the same connect/disconnect/health-check surface as AsyncDatabaseManager. Install with [cache].

from tempest_fastapi_sdk.cache import AsyncRedisManager

cache = AsyncRedisManager(settings.REDIS_URL, decode_responses=True)

# Lifespan
await cache.connect()
...
await cache.disconnect()

# Direct use
await cache.client.set("user:123:name", "Ana", ex=300)
name = await cache.client.get("user:123:name")

# FastAPI dependency — yields the live client.
from fastapi import Depends
from redis.asyncio import Redis


@router.get("/cached")
async def cached_endpoint(
    redis: Redis = Depends(cache.client_dependency),
) -> dict[str, str]:
    value = await redis.get("greeting") or "hello"
    return {"value": value}

Wire the health check on the canonical router with make_health_router(checks={"redis": cache.health_check}) so readiness probes fail when Redis is down.

Server-Sent Events recipe

EventStream is an in-memory async queue feeding one SSE HTTP connection. ServerSentEvent encodes one frame; sse_response wraps the byte stream in a Starlette StreamingResponse with SSE-friendly headers.

# app/api/routers/events.py
import asyncio

from fastapi import APIRouter

from tempest_fastapi_sdk import EventStream, sse_response

router = APIRouter()


@router.get("/events")
async def events() -> "StreamingResponse":  # forward-declared by Starlette
    stream = EventStream(heartbeat_seconds=15.0)

    async def producer() -> None:
        for n in range(1, 4):
            await stream.publish({"n": n}, event="counter", id=str(n))
            await asyncio.sleep(1)
        await stream.close()

    asyncio.create_task(producer())
    return sse_response(stream.stream())

Browser side:

const es = new EventSource("/events");
es.addEventListener("counter", (e) => console.log("got", JSON.parse(e.data)));

heartbeat_seconds emits a : keepalive SSE comment when idle so load-balancers don't close long-lived connections. ServerSentEvent.data accepts strings, bytes or any JSON-serializable Python object — non-strings are JSON-encoded automatically. Pass retry= to hint the browser at the reconnect delay (milliseconds).

Web Push notifications recipe

WebPushDispatcher wraps the synchronous pywebpush library in asyncio.to_thread and surfaces the two errors the application cares about: WebPushGoneError (HTTP 404/410 — delete the subscription) and WebPushError (everything else). Install with [webpush].

# app/services/notifications.py
from tempest_fastapi_sdk import (
    WebPushDispatcher,
    WebPushGoneError,
    WebPushPayloadSchema,
    WebPushSubscriptionSchema,
)


dispatcher = WebPushDispatcher(
    settings.VAPID_PRIVATE_KEY,
    vapid_subject="mailto:[e-mail]",
    ttl_seconds=60,
)


async def notify_order_paid(
    subscription: WebPushSubscriptionSchema,
    order_id: str,
) -> None:
    payload = WebPushPayloadSchema(
        title="Pagamento confirmado",
        body=f"Pedido {order_id} aprovado.",
        icon="/static/icons/order.png",
        data={"orderId": order_id, "url": f"/orders/{order_id}"},
    )
    try:
        await dispatcher.send(subscription, payload)
    except WebPushGoneError:
        # Prune the subscription from your store.
        await subscriptions_repo.delete_by_endpoint(subscription.endpoint)


async def broadcast(subs: list[WebPushSubscriptionSchema], payload: WebPushPayloadSchema) -> None:
    gone = await dispatcher.send_many(subs, payload)
    if gone:
        await subscriptions_repo.delete_by_endpoints(gone)

WebPushSubscriptionSchema round-trips the exact JSON PushSubscription.toJSON() emits in the browser (it aliases expiration_time ↔ expirationTime), so you can store inbound subscriptions verbatim and replay them on dispatch.

Message queues — FastStream recipe

AsyncBrokerManager wraps any FastStream broker (RabbitMQ, Kafka, NATS, Redis Streams) with a uniform connect/disconnect/health-check surface. The broker instance is injected so the SDK doesn't pin a single transport.

Install with [queue] (pulls faststream[rabbit]). Pick the matching FastStream extra for other transports.

# app/queue/__init__.py
from faststream.rabbit import RabbitBroker
from pydantic import BaseModel

from tempest_fastapi_sdk.queue import AsyncBrokerManager

from app.core.settings import settings


broker = RabbitBroker(settings.RABBITMQ_URL)
queue = AsyncBrokerManager(broker)


class OrderMessage(BaseModel):
    order_id: str
    user_id: str


@broker.subscriber("orders.paid")
async def handle_order_paid(msg: OrderMessage) -> None:
    await mark_order_paid(msg.order_id, msg.user_id)


# app/api/factory.py lifespan
await queue.connect()
...
await queue.disconnect()


# Publish from anywhere in the application
await queue.publish(OrderMessage(order_id="abc", user_id="x"), queue="orders.paid")

The manager exposes:

• connect() / disconnect() — idempotent; safe to call from FastAPI lifespan.
• publish(message, *args, **kwargs) — passthrough to broker.publish with a RuntimeError guard when the broker isn't started.
• lifespan() — async context manager handling start/stop, handy for short scripts.
• broker_dependency — FastAPI Depends that yields the live broker.
• health_check() / is_connected — true while the broker is started.

Wire it on the health router with make_health_router(checks={"queue": queue.health_check}).

Background tasks — TaskIQ recipe

AsyncTaskBrokerManager wraps any TaskIQ broker (AioPika for RabbitMQ, Redis, in-memory for tests). Install with [tasks] (pulls taskiq + taskiq-aio-pika).

# app/tasks/__init__.py
from taskiq_aio_pika import AioPikaBroker

from tempest_fastapi_sdk.tasks import AsyncTaskBrokerManager

from app.core.settings import settings


tasks = AsyncTaskBrokerManager(AioPikaBroker(settings.RABBITMQ_URL))


@tasks.task
async def send_welcome_email(to: str, name: str) -> None:
    await email_utils.send(
        to=to,
        subject="Bem-vindo!",
        body=f"Olá, {name} — sua conta foi criada.",
    )


# app/api/factory.py lifespan
await tasks.connect()
...
await tasks.disconnect()


# Enqueue from a request handler
await send_welcome_email.kiq(to=user.email, name=user.name)

register_task(callable, task_name=..., **kwargs) registers a function without decorator syntax — useful when wiring third-party callables that you can't decorate at definition time. For tests, swap the broker for taskiq.InMemoryBroker() so kicked tasks execute synchronously.

The same lifespan guard rails as the queue manager apply: connect()/disconnect()/lifespan()/broker_dependency/health_check()/is_connected.

System metrics recipe

MetricsUtils collects CPU, memory, disk and NVIDIA GPU usage via psutil + pynvml. Every method has a sync and an async variant (the async wrapper runs the same code via asyncio.to_thread). GPU sampling gracefully degrades to [] when pynvml or NVIDIA drivers are missing.

Install with [metrics].

from tempest_fastapi_sdk import MetricsUtils

# Synchronous, blocking call
snapshot = MetricsUtils.snapshot(disk_paths=["/", "/data"], cpu_interval=0.1)
print(snapshot.cpu.percent, snapshot.memory.percent)
for disk in snapshot.disks:
    print(disk.path, disk.percent)
for gpu in snapshot.gpus:
    print(gpu.name, gpu.utilization_percent, gpu.memory_used_bytes)

# Async — runs every collector concurrently via asyncio.gather
snapshot = await MetricsUtils.snapshot_async(disk_paths=["/"])


@router.get("/metrics")
async def metrics() -> dict[str, Any]:
    snap = await MetricsUtils.snapshot_async()
    return snap.to_dict()

Individual collectors are also available: MetricsUtils.cpu(interval=...), MetricsUtils.memory(), MetricsUtils.disk(path), MetricsUtils.disks(paths), MetricsUtils.gpus() — and their *_async variants. Each returns a typed dataclass (CPUMetrics, MemoryMetrics, DiskMetrics, GPUMetrics, SystemMetrics) with a to_dict() helper for JSON serialization.

---

Reference

BaseRepository methods

Method	Purpose	Raises on miss
get(filters, for_update=False)	Single record matching filters	✅ not_found_exception
get_or_none(filters, for_update=False)	Single record or None	—
get_by_id(id, for_update=False)	Shortcut for get({"id": id})	✅ not_found_exception
exists(filters)	bool without loading the row	—
first(filters, order_by, ascending)	First match ordered	—
list(filters, order_by, ascending)	All rows; [] when empty	—
paginate(filters, order_by, page, page_size, ascending, query=)	dict with items, total, page, size, pages	—
count(filters)	Row count	—
add(model)	Insert single	ConflictException on integrity
add_all(models)	Insert batch	ConflictException on integrity
update(model)	Commit mutated instance	ConflictException on integrity
update_many(models)	Commit batch	ConflictException on integrity
bulk_update(filters, values)	UPDATE ... WHERE mass mutation; rejects empty filters	ConflictException on integrity
delete(id)	Hard delete by PK	✅ not_found_exception
delete_many(filters)	Hard delete by filter	—
delete_batch(ids)	Hard delete several PKs	—
soft_delete(id)	Flip is_active=False; returns row	✅ not_found_exception
restore(id)	Flip is_active=True; returns row	✅ not_found_exception
map_to_schema(instance)	Override in subclass	NotImplementedError
map_to_response(instance)	Override in subclass	NotImplementedError
map_to_model(data)	Default: self.model(**data)	—

Filter dict conventions

The dict passed to get / list / paginate / count / exists / delete_many / bulk_update understands these patterns out of the box:

Filter shape	Generated SQL
{"col": value}	col = value
{"col": [a, b]}	col IN (a, b)
{"col": True} / {"col": False}	col IS TRUE / col IS FALSE
{"name": "ana"} (string field literally named name)	name ILIKE '%ana%'
{"col": date(2024, 1, 1)} (date value)	date(col) = '2024-01-01'
{"start_in": date(...)}	date(date_col_or_created_at) >= ...
{"end_in": date(...)}	date(date_col_or_created_at) <= ...
{"col": None}	filter is skipped (omit-when-None semantics)

Pass the dict from BasePaginationFilterSchema.get_conditions() for query-string-driven filters.

Error envelope

Every AppException (and any subclass) is serialized by register_exception_handlers into:

{
    "detail": "Human-readable message",
    "code": "MACHINE_READABLE_CODE",
    "details": {"any": "structured context"}
}

Exception	Default status_code	Default code
AppException	500	INTERNAL_SERVER_ERROR
NotFoundException	404	NOT_FOUND
ConflictException	409	CONFLICT
ValidationException	422	VALIDATION_ERROR
UnauthorizedException	401	UNAUTHORIZED
InvalidTokenException	401	INVALID_TOKEN
ExpiredTokenException	401	TOKEN_EXPIRED
ForbiddenException	403	FORBIDDEN
FileTooLargeException	413	FILE_TOO_LARGE
InvalidFileTypeException	415	INVALID_FILE_TYPE

Subclasses set message/code/status_code as class attributes; instances can override message and attach a details dict at construction time.

---

Conventions

• Layered architecture: routers → controllers → services → repositories. Never skip layers.
• Async-first: every I/O method is async. Use SQLAlchemy 2.0 patterns (select, not session.query()).
• Collections return []: never raise on empty results. Only single-resource lookups raise NotFoundException.
• Soft delete by default: is_active=False instead of physical delete when applicable.
• UTC everywhere: timestamps normalized via to_utc; BaseResponseSchema enforces this on field validators.
• Double quotes: enforced by ruff format.
• Full typing: every parameter, return value and class attribute is typed. Any is explicit, never implicit.
• Docstrings in English: Google-style covering description / args / returns / raises.
• Frontend branches on code, not on the (translatable) message.

---

Development

make install     # uv sync --all-extras
make test        # pytest with coverage
make lint        # ruff check .
make fmt         # ruff format .
make type        # mypy --strict
make check       # lint + fmt-check + type + test (every gate)
make ci          # check + build + smoke install in a clean venv (mirrors GitHub Actions)
make build       # uv build → dist/
make clean       # remove caches and build artifacts

Run make (or make help) to list every target. The Makefile is just thin wrappers around uv — direct invocations still work too:

uv sync --all-extras
uv run pytest
uv run ruff check .
uv run mypy tempest_fastapi_sdk
uv build

The CI gate (.github/workflows/ci.yml) runs the equivalent of make ci on every push and pull request against main. The wheel-build smoke step installs the freshly built artifact into a clean Python 3.13 virtualenv and imports the top-level surface to guard against the empty-wheel / missing-package-data class of bugs.

---

Release

Releases are published to PyPI automatically when a v*.*.* tag is pushed.

The pipeline (.github/workflows/release-pypi.yml) does three things:

1. Version sanity check. The tag (v0.1.0), pyproject.toml's version field and tempest_fastapi_sdk.__version__ must all match. Mismatched releases abort before any artifact is built.
2. Build + verify. Run the full validation suite (tests + lint + mypy), build sdist/wheel with uv build, check metadata with twine check, and verify the wheel actually contains the package files + the bundled env.py.template Alembic template.
3. Publish via Trusted Publishing. Uses OIDC against PyPI — no long-lived API tokens stored in repo secrets.

Cutting a release

make release VERSION=0.2.0

This single target:

1. Refuses to run if the working tree is dirty.
2. Bumps pyproject.toml and tempest_fastapi_sdk/__init__.py to the requested version.
3. Runs make check (lint + format + mypy + tests) so a broken commit never gets tagged.
4. Commits the bump as chore: release v0.2.0 and creates the v0.2.0 tag locally.
5. Prints the two git push commands you still need to run — pushing is left manual on purpose so you can review the commit one last time.

# Review then push
git show v0.2.0
git push origin main
git push origin v0.2.0

GitHub Actions picks up the tag, runs the release pipeline and publishes the artifacts to PyPI.

Manual flow (no Makefile) — same result:

$EDITOR pyproject.toml                              # version = "0.2.0"
$EDITOR tempest_fastapi_sdk/__init__.py             # __version__ = "0.2.0"
git commit -am "chore: release v0.2.0"
git tag v0.2.0
git push origin main v0.2.0

One-time PyPI Trusted Publishing setup

PyPI needs to know which workflow is allowed to publish on the project's behalf. Done once per project:

1. Create the project on PyPI (name: tempest-fastapi-sdk). For brand-new projects, register a placeholder release manually first or use pending publishers so the first OIDC-driven upload can create it.
2. On the project's PyPI settings page, add a Trusted Publisher pointing to:
   • Owner: mauriciobenjamin700
   • Repository: tempest-fastapi-sdk
   • Workflow filename: release-pypi.yml
   • Environment: pypi (must match release-pypi.yml's environment.name)
3. In the GitHub repository, create an environment named pypi (Settings → Environments → New environment). Optionally restrict deployments to tags matching v*.*.* for an extra safety net.

After this, every v*.*.* tag triggers a publish. No PYPI tokens are stored anywhere.

---

License

MIT