fastapi-fsp 0.1.0

Filter, Sort, and Paginate (FSP) utilities for FastAPI + SQLModel

fastapi-fsp

Filter, Sort, and Paginate (FSP) utilities for FastAPI + SQLModel.

fastapi-fsp helps you build standardized list endpoints that support:

• Filtering on arbitrary fields with rich operators (eq, ne, lt, lte, gt, gte, in, between, like/ilike, null checks, contains/starts_with/ends_with)
• Sorting by field (asc/desc)
• Pagination with page/per_page and convenient HATEOAS links

It is framework-friendly: you declare it as a FastAPI dependency and feed it a SQLModel/SQLAlchemy Select query and a Session.

Installation

Using uv (recommended):

# create & activate virtual env with uv
uv venv
. .venv/bin/activate

# add runtime dependency
uv add fastapi-fsp

Using pip:

pip install fastapi-fsp

Quick start

Below is a minimal example using FastAPI and SQLModel.

from typing import Optional
from fastapi import Depends, FastAPI
from sqlmodel import Field, SQLModel, Session, create_engine, select

from fastapi_fsp.fsp import FSPManager
from fastapi_fsp.models import PaginatedResponse

class HeroBase(SQLModel):
    name: str = Field(index=True)
    secret_name: str
    age: Optional[int] = Field(default=None, index=True)

class Hero(HeroBase, table=True):
    id: Optional[int] = Field(default=None, primary_key=True)

class HeroPublic(HeroBase):
    id: int

engine = create_engine("sqlite:///database.db", connect_args={"check_same_thread": False})
SQLModel.metadata.create_all(engine)

app = FastAPI()

def get_session():
    with Session(engine) as session:
        yield session

@app.get("/heroes/", response_model=PaginatedResponse[HeroPublic])
def read_heroes(*, session: Session = Depends(get_session), fsp: FSPManager = Depends(FSPManager)):
    query = select(Hero)
    return fsp.generate_response(query, session)

Run the app and query:

• Pagination: GET /heroes/?page=1&per_page=10
• Sorting: GET /heroes/?sort_by=name&order=asc
• Filtering: GET /heroes/?field=age&operator=gte&value=21

The response includes data, meta (pagination, filters, sorting), and links (self, first, next, prev, last).

Query parameters

Pagination:

• page: integer (>=1), default 1
• per_page: integer (1..100), default 10

Sorting:

• sort_by: the field name, e.g., name
• order: asc or desc

Filtering (repeatable sets; arrays are supported by sending multiple parameters):

• field: the field/column name, e.g., name
• operator: one of
  • eq, ne
  • lt, lte, gt, gte
  • in, not_in (comma-separated values)
  • between (two comma-separated values)
  • like, not_like
  • ilike, not_ilike (if backend supports ILIKE)
  • is_null, is_not_null
  • contains, starts_with, ends_with (translated to LIKE patterns)
• value: raw string value (or list-like comma-separated depending on operator)

Examples:

• ?field=name&operator=eq&value=Deadpond
• ?field=age&operator=between&value=18,30
• ?field=name&operator=in&value=Deadpond,Rusty-Man
• ?field=name&operator=contains&value=man

You can chain multiple filters by repeating the triplet:

?field=age&operator=gte&value=18&field=name&operator=ilike&value=rust

Response model

{
  "data": [ ... ],
  "meta": {
    "pagination": {
      "total_items": 42,
      "per_page": 10,
      "current_page": 1,
      "total_pages": 5
    },
    "filters": [
      {"field": "name", "operator": "eq", "value": "Deadpond"}
    ],
    "sort": {"sort_by": "name", "order": "asc"}
  },
  "links": {
    "self": "/heroes/?page=1&per_page=10",
    "first": "/heroes/?page=1&per_page=10",
    "next": "/heroes/?page=2&per_page=10",
    "prev": null,
    "last": "/heroes/?page=5&per_page=10"
  }
}

Development

This project uses uv as the package manager.

• Create env and sync deps:

uv venv
. .venv/bin/activate
uv sync --dev

• Run lint and format checks:

uv run ruff check .
uv run ruff format --check .

• Run tests:

uv run pytest -q

• Build the package:

uv build

CI/CD and Releases

GitHub Actions workflows are included:

• CI (lint + tests) runs on pushes and PRs.
• Release: pushing a tag matching v*.*.* runs tests, builds, and publishes to PyPI using PYPI_API_TOKEN secret.

To release:

1. Update the version in pyproject.toml.
2. Push a tag, e.g. git tag v0.1.1 && git push origin v0.1.1.
3. Ensure the repository has PYPI_API_TOKEN secret set (an API token from PyPI).

License

MIT License. See LICENSE.