fastapi-quickcrud 0.2.8

A comprehensive FastaAPI's CRUD router generator for SQLALchemy.

FastAPI Quick CRUD

---

If you need apply business logic or add on some code, you can use my another open source project which supports CRUD router code generator

• Introduction
  • Advantages
  • Limitations
• Getting started
  • Installation
  • Usage
• Design
  • Path Parameter
  • Query Parameter
  • Request Body
  • Foreign Tree
  • Upsert
  • Add description into docs
  • Relationship
  • FastAPI_quickcrud Response Status Code standard

Introduction

I believe that many people who work with FastApi to build RESTful CRUD services end up wasting time writing repitive boilerplate code.

FastAPI Quick CRUD can generate CRUD methods in FastApi from an SQLAlchemy schema:

• Get one
• Get one with foreign key
• Get many
• Get many with foreign key
• Update one
• Update many
• Patch one
• Patch many
• Create/Upsert one
• Create/Upsert many
• Delete One
• Delete Many
• Post Redirect Get

FastAPI Quick CRUDis developed based on SQLAlchemy 1.4.23 version and supports sync and async.

Advantages

• Support SQLAlchemy 1.4 - Allows you build a fully asynchronous or synchronous python service

• Full SQLAlchemy DBAPI Support - Support different SQL for SQLAlchemy

• Support Pagination - Get many API support order by offset limit field in API

• Rich FastAPI CRUD router generation - Many operations of CRUD are implemented to complete the development and coverage of all aspects of basic CRUD.

• CRUD route automatically generated - Support Declarative class definitions and Imperative table

• Flexible API request - UPDATE ONE/MANY FIND ONE/MANY PATCH ONE/MANY DELETE ONE/MANY supports Path Parameters (primary key) and Query Parameters as a command to the resource to filter and limit the scope of the scope of data in request.

• SQL Relationship - FIND ONE/MANY supports Path get data with relationship

Limitations

• ❌ If there are multiple unique constraints, please use composite unique constraints instead
• ❌ Composite primary key is not supported
• ❌ Unsupported API requests with on resources xxx/{primary key} for tables without a primary key;
  • UPDATE ONE
  • FIND ONE
  • PATCH ONE
  • DELETE ONE

Getting started

I try to update the version dependencies as soon as possible to ensure that the core dependencies of this project have the highest version possible.

fastapi<=0.68.2
pydantic<=1.8.2
SQLAlchemy<=1.4.30
starlette==0.14.2

Installation

pip install fastapi-quickcrud

I suggest the following library if you try to connect to PostgreSQL

pip install psycopg2
pip install asyncpg

Usage

run and go to http://127.0.0.1:port/docs and see the auto-generated API

Simple Code (or see the longer (example)

from fastapi import FastAPI
from sqlalchemy import Column, Integer, \
    String, Table, ForeignKey, orm
from fastapi_quickcrud import crud_router_builder

Base = orm.declarative_base()


class User(Base):
    __tablename__ = 'test_users'
    id = Column(Integer, primary_key=True, autoincrement=True, unique=True)
    name = Column(String, nullable=False)
    email = Column(String, nullable=False)


friend = Table(
    'test_friend', Base.metadata,
    Column('id', ForeignKey('test_users.id', ondelete='CASCADE', onupdate='CASCADE'), nullable=False),
    Column('friend_name', String, nullable=False)
)

crud_route_1 = crud_router_builder(db_model=User,
                                   prefix="/user",
                                   tags=["User"],
                                   async_mode=True
                                   )
crud_route_2 = crud_router_builder(db_model=friend,
                                   prefix="/friend",
                                   tags=["friend"],
                                   async_mode=True
                                   )

app = FastAPI()
app.include_router(crud_route_1)
app.include_router(crud_route_2)

Foreign Tree With Relationship

from fastapi import FastAPI
from fastapi_quickcrud import crud_router_builder
from sqlalchemy import *
from sqlalchemy.orm import *
from fastapi_quickcrud.crud_router import generic_sql_crud_router_builder

Base = declarative_base()

class Account(Base):
    __tablename__ = "account"
    id = Column(Integer, primary_key=True, autoincrement=True)
    blog_post = relationship("BlogPost", back_populates="account")


class BlogPost(Base):
    __tablename__ = "blog_post"
    id = Column(Integer, primary_key=True, autoincrement=True)
    account_id = Column(Integer, ForeignKey("account.id"), nullable=False)
    account = relationship("Account", back_populates="blog_post")
    blog_comment = relationship("BlogComment", back_populates="blog_post")


class BlogComment(Base):
    __tablename__ = "blog_comment"
    id = Column(Integer, primary_key=True, autoincrement=True)
    blog_id = Column(Integer, ForeignKey("blog_post.id"), nullable=False)
    blog_post = relationship("BlogPost", back_populates="blog_comment")


crud_route_parent = crud_router_builder(
    db_model=Account,
    prefix="/account",
    tags=["account"],
    foreign_include=[BlogComment, BlogPost]

)
crud_route_child1 = generic_sql_crud_router_builder(
    db_model=BlogPost,
    prefix="/blog_post",
    tags=["blog_post"],
    foreign_include=[BlogComment]

)
crud_route_child2 = generic_sql_crud_router_builder(
    db_model=BlogComment,
    prefix="/blog_comment",
    tags=["blog_comment"]

)

app = FastAPI()
[app.include_router(i) for i in [crud_route_parent, crud_route_child1, crud_route_child2]]

SQLAlchemy to Pydantic Model Converter And Build your own API(example)

import uvicorn
from fastapi import FastAPI, Depends
from fastapi_quickcrud import CrudMethods
from fastapi_quickcrud import sqlalchemy_to_pydantic
from fastapi_quickcrud.misc.memory_sql import sync_memory_db

from sqlalchemy import CHAR, Column, Integer
from sqlalchemy.ext.declarative import declarative_base

app = FastAPI()

Base = declarative_base()
metadata = Base.metadata


class Child(Base):
    __tablename__ = 'right'
    id = Column(Integer, primary_key=True)
    name = Column(CHAR, nullable=True)


friend_model_set = sqlalchemy_to_pydantic(db_model=Child,
                                          crud_methods=[
                                              CrudMethods.FIND_MANY,
                                              CrudMethods.UPSERT_MANY,
                                              CrudMethods.UPDATE_MANY,
                                              CrudMethods.DELETE_MANY,
                                              CrudMethods.CREATE_ONE,
                                              CrudMethods.PATCH_MANY,

                                          ],
                                          exclude_columns=[])


post_model = friend_model_set.POST[CrudMethods.CREATE_ONE]
sync_memory_db.create_memory_table(Child)

@app.post("/hello",
          status_code=201,
          tags=["Child"],
          response_model=post_model.responseModel,
          dependencies=[])
async def my_api(
        query: post_model.requestBodyModel = Depends(post_model.requestBodyModel),
        session=Depends(sync_memory_db.get_memory_db_session)
):
    db_item = Child(**query.__dict__)
    session.add(db_item)
    session.commit()
    session.refresh(db_item)
    return db_item.__dict__



uvicorn.run(app, host="0.0.0.0", port=8000, debug=False)

• Note: you can use sqlacodegen to generate SQLAlchemy models for your table. This project is based on the model development and testing generated by sqlacodegen

Main module

Generate CRUD router

crud_router_builder args

• db_session [Optional] execute session generator

  • default using in-memory db with create table automatically
  • example:
    • sync SQLALchemy:

      from sqlalchemy.orm import sessionmaker
      def get_transaction_session():
          try:
              db = sessionmaker(...)
              yield db
          except Exception as e:
              db.rollback()
              raise e
          finally:
              db.close()
    

    • Async SQLALchemy

    from sqlalchemy.orm import sessionmaker
    from sqlalchemy.ext.asyncio import AsyncSession
    async_session = sessionmaker(autocommit=False,
                         autoflush=False,
                         bind=engine,
                         class_=AsyncSession)
    
    async def get_transaction_session() -> AsyncSession:
        async with async_session() as session:
            async with session.begin():
                yield session
    

• db_model [Require] SQLALchemy Declarative Base Class or Table

  Note: There are some constraint in the SQLALchemy Schema

• async_mode [Optional (auto set by db_session)] bool: if your db session is async

  Note: require async session generator if True

• autocommit [Optional (default True)] bool: if you don't need to commit by your self

  Note: require handle the commit in your async session generator if False

• dependencies [Optional]: API dependency injection of fastapi

  Note: Get the example usage in ./example

• crud_methods: CrudMethods

  • CrudMethods.FIND_ONE
  • CrudMethods.FIND_MANY
  • CrudMethods.UPDATE_ONE
  • CrudMethods.UPDATE_MANY
  • CrudMethods.PATCH_ONE
  • CrudMethods.PATCH_MANY
  • CrudMethods.UPSERT_ONE (only support postgresql yet)
  • CrudMethods.UPSERT_MANY (only support postgresql yet)
  • CrudMethods.CREATE_ONE
  • CrudMethods.CREATE_MANY
  • CrudMethods.DELETE_ONE
  • CrudMethods.DELETE_MANY
  • CrudMethods.POST_REDIRECT_GET

• exclude_columns: list

  set the columns that not to be operated but the columns should nullable or set the default value)

• foreign_include: list[declarative_base()]

  add the SqlAlchemy models here, and build the foreign tree get one/many api (don't support SqlAlchemy table)

• dynamic argument (prefix, tags): extra argument for APIRouter() of fastapi

Design

In PUT DELETE PATCH, user can use Path Parameters and Query Parameters to limit the scope of the data affected by the operation, and the Query Parameters is same with FIND API

Path Parameter

In the design of this tool, Path Parameters should be a primary key of table, that why limited primary key can only be one.

Query Parameter

• Query Operation will look like that when python type of column is

  string

  • support Approximate String Matching that require this
    • (<column_name>____str, <column_name>____str_____matching_pattern)
  • support In-place Operation, get the value of column in the list of input
    • (<column_name>____list, <column_name>____list____comparison_operator)
  • preview
  numeric or datetime

  • support Range Searching from and to
    • (<column_name>____from, <column_name>____from_____comparison_operator)
    • (<column_name>____to, <column_name>____to_____comparison_operator)
  • support In-place Operation, get the value of column in the list of input
    • (<column_name>____list, <column_name>____list____comparison_operator)
  • preview
  uuid

  uuid supports In-place Operation only

  • support In-place Operation, get the value of column in the list of input
    • (<column_name>____list, <column_name>____list____comparison_operator)

• EXTRA query parameter for GET_MANY:

  Pagination

  • limit
  • offset
  • order by
  • preview

Query to SQL statement example

• Approximate String Matching

  example

  • request url

    /test_CRUD?
    char_value____str_____matching_pattern=match_regex_with_case_sensitive&
    char_value____str_____matching_pattern=does_not_match_regex_with_case_insensitive&
    char_value____str_____matching_pattern=case_sensitive&
    char_value____str_____matching_pattern=not_case_insensitive&
    char_value____str=a&
    char_value____str=b
    

  • generated sql

      SELECT *
      FROM untitled_table_256 
      WHERE (untitled_table_256.char_value ~ 'a') OR 
      (untitled_table_256.char_value ~ 'b' OR 
      (untitled_table_256.char_value !~* 'a') OR 
      (untitled_table_256.char_value !~* 'b' OR 
      untitled_table_256.char_value LIKE 'a' OR 
      untitled_table_256.char_value LIKE 'b' OR 
      untitled_table_256.char_value NOT ILIKE 'a' 
      OR untitled_table_256.char_value NOT ILIKE 'b'
    

• In-place Operation

  example

  • In-place support the following operation

  • generated sql if user select Equal operation and input True and False

  • preview

  • generated sql

      select * FROM untitled_table_256 
      WHERE untitled_table_256.bool_value = true OR 
      untitled_table_256.bool_value = false
    

• Range Searching

  example

  • Range Searching support the following operation

    

    

  • generated sql

      select * from untitled_table_256
      WHERE untitled_table_256.date_value > %(date_value_1)s 
    

      select * from untitled_table_256
      WHERE untitled_table_256.date_value < %(date_value_1)s 
    

• Also support your custom dependency for each api(there is a example in ./example)

Request Body

In the design of this tool, the columns of the table will be used as the fields of request body.

In the basic request body in the api generated by this tool, some fields are optional if :

• it is primary key with autoincrement is True or the server_default or default is True
• it is not a primary key, but the server_default or default is True
• The field is nullable

Foreign Tree

TBC

Upsert

** Upsert supports PosgreSQL only yet

POST API will perform the data insertion action with using the basic Request Body, In addition, it also supports upsert(insert on conflict do)

The operation will use upsert instead if the unique column in the inserted row that is being inserted already exists in the table

The tool uses unique columns in the table as a parameter of on conflict , and you can define which column will be updated

Add description into docs

You can declare comment argument for sqlalchemy.Column to configure the description of column

example:

class Parent(Base):
    __tablename__ = 'parent_o2o'
    id = Column(Integer, primary_key=True,comment='parent_test')

    # one-to-many collection
    children = relationship("Child", back_populates="parent")

class Child(Base):
    __tablename__ = 'child_o2o'
    id = Column(Integer, primary_key=True,comment='child_pk_test')
    parent_id = Column(Integer, ForeignKey('parent_o2o.id'),info=({'description':'child_parent_id_test'}))

    # many-to-one scalar
    parent = relationship("Parent", back_populates="children")

Relationship

Now, FIND_ONE and FIND_MANY are supporting select data with join operation

class Parent(Base):
    __tablename__ = 'parent_o2o'
    id = Column(Integer, primary_key=True)
    children = relationship("Child", back_populates="parent")

class Child(Base):
    __tablename__ = 'child_o2o'
    id = Column(Integer, primary_key=True)
    parent_id = Column(Integer, ForeignKey('parent_o2o.id'))
    parent = relationship("Parent", back_populates="children")

there is a relationship with using back_populates between Parent table and Child table, the parent_id in Child will refer to id column in Parent.

FastApi Quick CRUD will generate an api with a join_foreign_table field, and get api will respond to your selection of the reference data row of the corresponding table in join_foreign_table field,

• Try Request now there are some data in these two table

when i request

• Case One

  curl -X 'GET' \
  'http://0.0.0.0:8000/parent?join_foreign_table=child_o2o' \
  -H 'accept: application/json'
  

  Response data

  [
    {
      "id_foreign": [
        {
          "id": 1,
          "parent_id": 1
        },
        {
          "id": 2,
          "parent_id": 1
        }
      ],
      "id": 1
    },
    {
      "id_foreign": [
        {
          "id": 3,
          "parent_id": 2
        },
        {
          "id": 4,
          "parent_id": 2
        }
      ],
      "id": 2
    }
  ]
  

  Response headers

   x-total-count: 4 
  

  There are response 4 data, response data will be grouped by the parent row, if the child refer to the same parent row

• Case Two

  curl -X 'GET' \
  'http://0.0.0.0:8000/child?join_foreign_table=parent_o2o' \
  -H 'accept: application/json'
  

  Response data

  [
    {
      "parent_id_foreign": [
        {
          "id": 1
        }
      ],
      "id": 1,
      "parent_id": 1
    },
    {
      "parent_id_foreign": [
        {
          "id": 1
        }
      ],
      "id": 2,
      "parent_id": 1
    },
    {
      "parent_id_foreign": [
        {
          "id": 2
        }
      ],
      "id": 3,
      "parent_id": 2
    },
    {
      "parent_id_foreign": [
        {
          "id": 2
        }
      ],
      "id": 4,
      "parent_id": 2
    }
  ]
  

  Response Header

  x-total-count: 4 
  

FastAPI_quickcrud Response Status Code standard

When you ask for a specific resource, say a user or with query param, and the user doesn't exist

GET: get one : https://0.0.0.0:8080/api/:userid?xx=xx

UPDATE: update one : https://0.0.0.0:8080/api/:userid?xx=xx

PATCH: patch one : https://0.0.0.0:8080/api/:userid?xx=xx

DELETE: delete one : https://0.0.0.0:8080/api/:userid?xx=xx

then fastapi-qucikcrud should return 404. In this case, the client requested a resource that doesn't exist.

---

In the other case, you have an api that operate data on batch in the system using the following url:

GET: get many : https://0.0.0.0:8080/api/user?xx=xx

UPDATE: update many : https://0.0.0.0:8080/api/user?xx=xx

DELETE: delete many : https://0.0.0.0:8080/api/user?xx=xx

PATCH: patch many : https://0.0.0.0:8080/api/user?xx=xx

If there are no users in the system, then, in this case, you should return 204.

TODO

milestones