FastAPI - Cruddy Framework
About Cruddy Framework
Cruddy Framework now supports GraphQL! For examples, see the example server!
fastapi-cruddy-framework
is a companion library to FastAPI designed to bring the development productivity of Ruby on Rails, Ember.js or Sails.js to the FastAPI ecosystem. Many of the design patterns base themselves on Sails.js "policies," Sails.js model lifecycle events, sails-ember-rest automatic CRUD routing, and Ember.js REST-Adapter feature sets. By default, data sent to and from the auto-magic CRUD routes are expected to conform to the Ember.js Rest Envelope and Linked-data relationship specification. This specification is highly readable for front-end developers, allows for an expressive over-the-wire query syntax, and embeds self-describing relationship URL links in each over-the-wire record to help data stores automatically generate requests to fetch or update related records. This library is still in an alpha/beta phase, so use at your own risk. All CRUD actions and relationship types are currently supported, though there may be unexpected bugs. Please report any bugs under "issues."
TODO: Additional documentation and tests. (General features covered by tests) Maybe more comments. Maybe more features.
See the examples folder for a quick reference of high level setup. It currently contains a fully functional fastapi server which uses fastapi-cruddy-framework and the sqlite adapter. It even shows how to override incoming post data to do things like hash a user's password during initial registration using a simple drop-in policy function.
Come for the GraphQL and websocket managers, stay for the CRUD!
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Front-end Libraries
If you are a front-end developer, you may be interested in using the following modules to help with making a UI that may communicate with a back-end server built with fastapi-cruddy-framework
.
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FastAPI, SQLModel, Pydantic and SQL Alchemy Compatibility:
fastapi-cruddy-framework
was originally developed against FastAPI <= 0.99.1, sqlmodel <= 0.0.12, pydantic < 2.0.0, and sqlalchemy < 2.0.0. However, beginning with fastapi-cruddy-framework
version 1.x.x+, all major dependencies have been shifted forward to target FastAPI 0.100.0+, sqlmodel 0.0.14+, pydantic 2.0.0+, and sqlalchemy 2.0.0+. Therefore, when using this library, please note the following library compatibility chart:
fastapi-cruddy-framework@0.x.x
:
- FastAPI <= 0.99.1
- SQLModel <= 0.0.12
- pydantic < 2.0.0
- sqlalchemy < 2.0.0
fastapi-cruddy-framework@1.x.x
:
- FastAPI >= 0.100.0
- SQLModel >= 0.0.14
- pydantic >= 2.0.0
- sqlalchemy >= 2.0.0
Moving between fastapi-cruddy-framework
versions? See the migration guides.
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Installation
The fastapi-cruddy-framework module can be installed using poetry...
poetry add fastapi-cruddy-framework
Or pip.
pip install fastapi-cruddy-framework
After that, you can import and use all of the classes outlined below.
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Cruddy Exports/Imports
Cruddy-framework provides users the following classes and helper functions to scaffold out a project. (For recommended project structure, see the "examples" folder in the Github repo)
CreateRouterFromResources
Resource
ResourceRegistry
CruddyResourceRegistry
Actions
CruddyController
ControllerConfigurator
AbstractRepository
BaseAdapter
SqliteAdapter
MysqlAdapter
PostgresqlAdapter
BROADCAST_EVENT
CONTROL_EVENT
ROOM_EVENT
CLIENT_EVENT
KILL_SOCKET_BY_ID
KILL_SOCKET_BY_CLIENT
KILL_ROOM_BY_ID
JOIN_SOCKET_BY_ID
JOIN_SOCKET_BY_CLIENT
LEAVE_SOCKET_BY_ID
LEAVE_SOCKET_BY_CLIENT
CLIENT_MESSAGE_EVENT
DISCONNECT_EVENT
OPENAPI_WHERE_OVERRIDE
T
UUID
RelationshipConfig
CruddyGenericModel
BulkDTO,
MetaObject
PageResponse
ResponseSchema
CruddyModel
CruddyCreatedUpdatedSignature
CruddyCreatedUpdatedMixin
CruddyIntIDModel
CruddyUUIDModel
CruddyStringIDModel
SocketMessage
SocketRoomConfiguration
ExampleUpdate
ExampleCreate
ExampleView
Example
CruddyNoMatchingRowException
PubSub
WebsocketConnectionManager
RedisAdapter
getModuleDir
getDirectoryModules
pluralizer
uuid7
field_checkers
field_validators
field_errors
get_pk
possible_id_types
lifecycle_types
build_tz_aware_date
parse_datetime
coerce_to_utc_datetime
parse_and_coerce_to_utc_datetime
validate_utc_datetime
json_serial
to_json_string
to_json_object
get_state
set_state
BrowserTestClient
TestClient
WebSocketSession
GraphQLController
GraphQLRequestCache
GraphQLResolverService
create_module_resolver
graphql_where_synthesizer
generate_gql_loader_and_type
GQL_WHERE_REPLACEMENT_CHARACTER
CruddyGQLDateTime
CruddyGQLObject
CruddyGQLArray
CruddyCreatedUpdatedGQLOverrides
CruddyGQLOverrides
CruddyHTTPBearer
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CreateRouterFromResources
This instance factory creates and returns a fully-wired fastapi APIRouter
which sub-routes all Resource
instances created in your project. Theoretically, you can create and mount multiple routers this way, but each router needs to be provided all of the Resource
instances required to fully resolve the relationships it may care about. The recommended way to structure your project is to keep all resources required for a route set contained within a single folder. This factory is then provided the relative path to a resource set folder, starting with your application's main
module, and will return the fully interconnected route set while also instantiating all of your resource modules. Typically, it is a good idea to import all of your router instances in your main module, as they will need to be "connected" to your fastapi server WITHIN the startup
hook. This is critical, as the resource registry (discussed below) cannot fully resolve relationships until after SQLAlchemy is aware of all models. This occurs in-between launching your main module and the startup
hook.
Example:
import my_app
from fastapi_cruddy_framework import CreateRouterFromResources
from fastapi import FastAPI, APIRouter
my_router: APIRouter = CreateRouterFromResources(
application_module=my_app,
resource_path="resources",
common_resource_name="resource"
)
app = FastAPI(title="My App", version="1")
@app.on_event("startup")
async def bootstrap():
app.include_router(my_router)
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Resource
The Resource
class is the fundamental building block of fastapi-cruddy-framework. Your resource instances define the union of your models, resource "controller" (which is a fastapi router with baked-in CRUD logic), business policies, repository abstraction layer, any resource lifecycle hook, and database adapter. Fortunately for you, the user, everything is essentially ready-to-go out of the box. Like sails-ember-rest or Ruby on Rails, you can now focus all of your development time on creating reusable policies (which contain your business logic that lies just above your CRUD endpoints), defining your models, and extending your resource controllers to add one-off actions like "login" or "change password". Lifecycle actions allow you to alter query configurations or record data before or after it is persisted to a database, or perform some other task before replying to the user. All of your resources should be loaded by the router factory (above) to ensure that relationships and routes are resolved in the correct order. Don't forget, only plug the master router into your application in the fastapi startup
hook!
Resource Nuances:
- Defining your policies is done at definition time!
- Lifecycle actions occur immediately before and after any database interaction your CRUD controllers make
- Lifecycle actions passed into the Resource constructor to interact with your queries or data MUST be
async
functions. - Policies are run in the exact order in which they are included in the
list
sent to the resource definition. policies_universal
apply to ALL CRUD routes, and always run BEFORE action specific policy chains.- Action specific policies run AFTER all
policies_universal
have resolved successfully. - Each endpoint is protected by
policies_universal
+ policies_<action>
. - One-to-Many and Many-to-Many sub-routes (like /users/{id}/posts) will be protected by the policy chain:
user.policies_universal
+ user.policies_get_one
+ posts.policies_get_many
. Security, security, security! - Blocking user REST modification of certain relationships via the default CRUD controller is also done at definition time!
protected_relationships
, protected_create_relationships
and protected_update_relationships
are list[str]
types with each string indicating a one-to-many, many-to-one, or many-to-many relationship that should not be allowed to create or update via the default CRUD actions. (protected_relationships alone blocks BOTH)- You should define your application-wide adapter elsewhere and pass it into the resource instance.
- Resources cannot span different databases.
Available Policy Chain Definitions:
policies_universal
policies_create
policies_update
policies_delete
policies_get_one
policies_get_many
Available ASYNC Repository Level Lifecycle Hooks:
lifecycle_before_create
lifecycle_after_create
lifecycle_before_update
lifecycle_after_update
lifecycle_before_delete
lifecycle_after_delete
lifecycle_before_get_one
lifecycle_after_get_one
lifecycle_before_get_all
lifecycle_after_get_all
lifecycle_before_set_relations
lifecycle_after_set_relations
Available ASYNC Controller Level Lifecycle Hooks:
lifecycle_before_controller_create
lifecycle_after_controller_create
lifecycle_before_controller_update
lifecycle_after_controller_update
lifecycle_before_controller_delete
lifecycle_after_controller_delete
lifecycle_before_controller_get_one
lifecycle_after_controller_get_one
lifecycle_before_controller_get_all
lifecycle_after_controller_get_all
Available Relationship Blocks:
protected_relationships
protected_create_relationships
protected_update_relationships
Updating Relationships:
- You can update relationships via either CREATE or UPDATE actions against each base resource!
As you will discover, your resource's create and update models will automatically gain "shadow" properties where one-to-many and many-to-many relationships exist. These properties expect a client to send a list of IDs that specify the foreign records that relate to the target record. So - if a user is a member of many groups, and a group can have many users, you could update the users in a group by sending a property "users": [1,2,3,4,5]
within the group
payload object you send to the POST /groups
or PATCH /groups
routes/actions. It will all be clear when you look at the SWAGGER docs generated for your API.
Repository Lifecycle hooks
The following lifecycle hook methods, which can be defined in user-space code, receive the following information from fastapi-cruddy-framework:
lifecycle_before_create
- Record without an ID. Values altered on this record in the lifecycle hook will be persisted to the DB.
lifecycle_after_create
- Record with an ID, as returned from the database.
lifecycle_before_update
- A key-values dictionary to be applied to the database, and the primary key id of the record which will be updated. Values altered in the dictionary will be applied to the DB update.
lifecycle_after_update
- Record with an ID, as returned from the database
lifecycle_before_delete
- Record with an ID, as returned from the database.
lifecycle_after_delete
- Record with an ID, as returned from the database. This record no longer exists in the database.
lifecycle_before_get_one
- A primary key value that will be used to fetch the record from the database, and a secondary where filter if one was used.
lifecycle_after_get_one
- Record with an ID, as returned from the database.
lifecycle_before_get_all
- Recieves a query configuration object. Any user-space modifications to this object will impact the query made by fastapi-cruddy-framework. This method is also invoked when a foreign Resource queries a relationship that affects the Resource where you plug in this hook.
lifecycle_after_get_all
- Receives a BulkDTO object, containing the database objects retrieved by a get_all query, as well as the query metadata. This method is also invoked when a foreign Resource queries a relationship that affects the Resource where you plug in this hook.
lifecycle_before_set_relations
- Receives a relationship configuration object which containts information about the record id affected, the relationship being altered, and the new list of relations for this relationship type.
{
"id": id, # The database id whos relationship are about to be altered (of your defined PK type)
"relation": relation, # The relationship that is about to change (string)
"relations": relations # An array of foreign ids, or record dictionaries that will now define this relationship (Framework will attempt to discard old relations)
}
lifecycle_after_set_relations
- Receives a completed mapping of the affected relational change, which can be used to echo changes to other databases or services.
{
"model": model, # The CruddyModel affected by this relationship change
"relation_conf": relation_conf, # The configuration object from lifecycle_before_set_relations
"relation_type": MANYTOMANY, # An SQL Alchemy relationship-type identifier (MANYTOMANY or ONETOMANY)
"related_table": foreign_table, # The table that ultimately represents the far-side of this relationship (not the join table!)
"related_field": field_name, # The field on the related_table that represents the far side of the relationship
"updated_db_count": result # The number of records now in the database associated with this relationship. If the number is different than the length of relation_conf.relations, you probably have a non-nullable field on the far-side of this relationship.
}
Controller Lifecycle hooks
The following lifecycle hook methods, which can be defined in user-space code, receive the following information from fastapi-cruddy-framework:
lifecycle_before_controller_create
- request (a FastAPI Request), context (A mutable action context dictionary)
lifecycle_after_controller_create
- request (a FastAPI Request), context (A mutable action context dictionary)
lifecycle_before_controller_update
- request (a FastAPI Request), context (A mutable action context dictionary)
lifecycle_after_controller_update
- request (a FastAPI Request), context (A mutable action context dictionary)
lifecycle_before_controller_delete
- request (a FastAPI Request), context (A mutable action context dictionary)
lifecycle_after_controller_delete
- request (a FastAPI Request), context (A mutable action context dictionary)
lifecycle_before_controller_get_one
- request (a FastAPI Request), context (A mutable action context dictionary)
lifecycle_after_controller_get_one
- request (a FastAPI Request), context (A mutable action context dictionary)
lifecycle_before_controller_get_all
- request (a FastAPI Request), context (A mutable action context dictionary)
lifecycle_after_controller_get_all
- request (a FastAPI Request), context (A mutable action context dictionary)
Resource Definition Options (And Defaults!):
id_type: Type[int] | Type[UUID] = int,
adapter: BaseAdapter | SqliteAdapter | MysqlAdapter | PostgresqlAdapter | None = None,
adapter_type: Literal["mysql", "postgresql"] = "postgresql",
db_mode: Literal["memory", "file"] = "memory",
db_path: str | None = None,
connection_uri="",
pool_size=4,
max_overflow=64,
link_prefix="",
path: str = None,
tags: list[str] = None,
resource_create_model: CruddyModel = ExampleCreate,
resource_update_model: CruddyModel = ExampleUpdate,
resource_model: CruddyModel = Example,
response_schema: CruddyModel = ExampleView,
response_meta_schema: CruddyGenericModel = MetaObject,
protected_relationships: list[str] = [],
protected_create_relationships: list[str] = [],
protected_update_relationships: list[str] = [],
artificial_relationship_paths: list[str] = [],
policies_universal: Sequence[Callable] = [],
policies_create: Sequence[Callable] = [],
policies_update: Sequence[Callable] = [],
policies_delete: Sequence[Callable] = [],
policies_get_one: Sequence[Callable] = [],
policies_get_many: Sequence[Callable] = [],
disable_create: bool = False,
disable_update: bool = False,
disable_delete: bool = False,
disable_get_one: bool = False,
disable_get_many: bool = False,
disable_relationship_getters: list[str] = [],
disable_nested_objects: bool = False,
default_limit: int = 10,
controller_extension: CruddyController = None,
custom_sql_identity_function: Callable[..., Any] | None = None,
custom_link_identity: Callable[..., str] | None = None,
use_model_defaults: bool = True,
lifecycle_before_create: Callable[..., Coroutine[Any, Any, Any]] | None = None,
lifecycle_after_create: Callable[..., Coroutine[Any, Any, Any]] | None = None,
lifecycle_before_update: Callable[..., Coroutine[Any, Any, Any]] | None = None,
lifecycle_after_update: Callable[..., Coroutine[Any, Any, Any]] | None = None,
lifecycle_before_delete: Callable[..., Coroutine[Any, Any, Any]] | None = None,
lifecycle_after_delete: Callable[..., Coroutine[Any, Any, Any]] | None = None,
lifecycle_before_get_one: Callable[..., Coroutine[Any, Any, Any]] | None = None,
lifecycle_after_get_one: Callable[..., Coroutine[Any, Any, Any]] | None = None,
lifecycle_before_get_all: Callable[..., Coroutine[Any, Any, Any]] | None = None,
lifecycle_after_get_all: Callable[..., Coroutine[Any, Any, Any]] | None = None,
lifecycle_before_set_relations: Callable[..., Coroutine[Any, Any, Any]] | None = None,
lifecycle_after_set_relations: Callable[..., Coroutine[Any, Any, Any]] | None = None,
lifecycle_before_controller_create: Callable[..., Coroutine[Any, Any, Any]] | None = None,
lifecycle_after_controller_create: Callable[..., Coroutine[Any, Any, Any]] | None = None,
lifecycle_before_controller_update: Callable[..., Coroutine[Any, Any, Any]] | None = None,
lifecycle_after_controller_update: Callable[..., Coroutine[Any, Any, Any]] | None = None,
lifecycle_before_controller_delete: Callable[..., Coroutine[Any, Any, Any]] | None = None,
lifecycle_after_controller_delete: Callable[..., Coroutine[Any, Any, Any]] | None = None,
lifecycle_before_controller_get_one: Callable[..., Coroutine[Any, Any, Any]] | None = None,
lifecycle_after_controller_get_one: Callable[..., Coroutine[Any, Any, Any]] | None = None,
lifecycle_before_controller_get_all: Callable[..., Coroutine[Any, Any, Any]] | None = None,
lifecycle_after_controller_get_all: Callable[..., Coroutine[Any, Any, Any]] | None = None,
Below is an example for creating a user
resource. The best way to organize your app would be to place the definition for your user resource in a folder like my_app/resources/user.py
, where the name of your application is my_app
. As you saw earlier in the description for CreateRouterFromResources
you would then load this user resource file by simply specifying application_module=my_app
and resource_path="resources"
. Your fastapi-cruddy-framework
project would then auto-magically load your resource file(s), create dynamic routes to create, read, update, and delete this resource, and further create sub-routes within this resource to browse, query and update all of the relationships for your resource.
Example:
from fastapi_cruddy_framework import Resource, UUID
from my_app.adapters import sqlite
from my_app.models.user import (
User,
UserCreate,
UserUpdate,
UserView,
)
from my_app.schemas.response import MetaObject
from my_app.policies.verify_session import verify_session
from my_app.policies.hash_user_password import (
hash_user_password,
)
resource = Resource(
id_type=UUID,
adapter=sqlite,
resource_update_model=UserUpdate,
resource_create_model=UserCreate,
resource_model=User,
response_schema=UserView,
response_meta_schema=MetaObject,
protected_relationships=["posts"],
policies_universal=[verify_session],
policies_create=[hash_user_password]
)
Easy, right?
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ResourceRegistry
The ResourceRegistry
class should be invisible to the average user. There are no input parameters when creating a registry, and by default Cruddy defines its own library-internal registry. The registry exists to perform the following functions:
- Maintain a map of all resources available to
fastapi-cruddy-framework
- Trigger
resolve
for all resources after SQL Alchemy finishes computing the relationship properties on each SQLModel. - Plugin to the
Resource
class, so that each Resource
you define can automatically call ResourceRegistry.register()
when you define it. This is all "under the hood".
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CruddyResourceRegistry
The CruddyResourceRegistry
is a framework-created instance of the ResourceRegistry
class, exposed as an export so that application builders can acquire framework component instance references dynamically. It manages all of the resources and other subordinate components the active Cruddy framework is aware of. This framework internal registry instance is extremely helpful for looking up resource, controller, and model classes and instances without causing a litany of circular import issues in app code. Due to the asynchronous nature of how cruddy framework must initialize, application developers should use the CruddyResourceRegistry
to "lookup" objects in any app code that needs to use a fully functional framework instance. What's a good example of where this is useful? Acquiring a resource's repository instance from within a policy so you can run database checks before a CRUD action occurs. There are many other applicable scenarios. See example, below.
from fastapi import Request
from fastapi_cruddy_framework import AbstractRepository, CruddyResourceRegistry, BulkDTO
async def load_user_into_session(request: Request):
some_value = "that identifies a user"
user_repository: AbstractRepository = CruddyResourceRegistry.get_repository_by_name(model_name="User")
repo_dto: BulkDTO = await user_repository.get_all(limit=1, where={"some_field": some_value})
if len(repo_dto.data) == 0:
raise Exception("User not found!")
request.session.update({"user": repo_dto.data.pop()})
The available registry lookup function signatures are:
get_model_by_name(model_name: str) -> CruddyModel
get_relationships_by_name(model_name: str) -> dict
get_resource_by_name(model_name: str) -> Resource
get_repository_by_name(model_name: str) -> AbstractRepository
get_controller_by_name(model_name: str) -> APIRouter
get_controller_extension_by_name(model_name: str) -> CruddyController
Make sure that the model_name
string you pass to the registry EXACTLY mirrors the class name for your base table CruddyModel
. So for a model with a class of User
you would pass in model_name="User"
. Pay attention to the capitalization!
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Actions
The Actions
class contains all the business logic for the base CRUD actions that are wired into a controller's route tree based on the framework options used. Each resource / controller will generate its own unique CRUD actions instance, and make this object available to user-space CruddyController
instance, which are described in more detail below. Actions that are deferred from routing automatically (using option flags such as disable_create
) are still generated for reach resource's actions map, which makes those functions available in the CruddyController
setup function.
Available actions:
async def create(request: Request, data: create_model)
async def update(request: Request, id: id_type = Path(..., alias="id"), *, data: update_model)
async def delete(
request: Request, id: id_type = Path(..., alias="id")
)
async def get_by_id(
request: Request,
id: id_type = Path(..., alias="id"),
where: Json = Query(None, alias="where"),
)
async def get_all(
request: Request,
page: int = 1,
limit: int = 10,
columns: list[str] = Query(None, alias="columns"),
sort: list[str] = Query(None, alias="sort"),
where: Json = Query(None, alias="where"),
)
You can re-use CRUD actions in your controllers as follows:
from pydantic.types import Json
from fastapi_cruddy_framework import CruddyController
from fastapi import Query, Path, HTTPException, status
from fastapi_cruddy_framework import CruddyController, dependency_list
from examples.fastapi_cruddy_sqlite.policies.verify_session import verify_session
class UserController(CruddyController):
def setup(self):
id_type = self.resource._id_type
many_schema = self.resource.schemas["many"]
old_delete = self.actions.delete
async def new_delete(id: id_type = Path(..., alias="id"), confirm: str = "N"):
if confirm == "Y":
return await old_delete(id=id)
else:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail="You must confirm you want to delete this record by setting the 'confirm' parameter to 'Y'",
)
self.actions.delete = new_delete
self.controller.get(
"/all",
description="Another way to get many users",
response_model=many_schema,
response_model_exclude_none=True,
dependencies=dependency_list(verify_session),
)(self.actions.get_all)
@self.controller.get(
"/everything",
description="Yet another way to get many users",
response_model=many_schema,
response_model_exclude_none=True,
dependencies=dependency_list(verify_session),
)
async def get_all_again(
page: int = 1,
limit: int = 10,
columns: list[str] = Query(None, alias="columns"),
sort: list[str] = Query(None, alias="sort"),
where: Json = Query(None, alias="where"),
):
return await self.actions.get_all(
page=page, limit=limit, columns=columns, sort=sort, where=where
)
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CruddyController
The CruddyController
is a base class with a single method setup
that applications can leverage to "extend" the default CRUD route controllers as needed. This class is needed to control application flow during the resolution boot cycle, and to allow you to share methods between resources like a mixin. Controllers should generally be placed within a project folder named "controllers". Controller classes can be imported in your resource file, and passed to the resource at definition time. Don't worry, the Resource
class will create a controller instance for you!
Example my_app/controllers/User.py
:
from fastapi import Depends
from fastapi_cruddy_framework import CruddyController, CruddyGenericModel
from my_app.policies.verify_session import verify_session
class HelloSchema(CruddyGenericModel):
hello: str = "world"
class UserController(CruddyController):
def setup(self):
@self.controller.get(
"/hello", response_model=HelloSchema, dependencies=[Depends(verify_session)]
)
async def hello():
return HelloSchema(hello="world")
Example Continued my_app/resources/User.py
:
from fastapi_cruddy_framework import Resource, UUID
from my_app.adapters import sqlite
from my_app.models.user import (
User,
UserCreate,
UserUpdate,
UserView,
)
from my_app.schemas.response import MetaObject
from my_app.controllers.user import UserController
from my_app.policies.verify_session import verify_session
from my_app.policies.hash_user_password import (
hash_user_password,
)
resource = Resource(
adapter=sqlite,
response_schema=UserView,
response_meta_schema=MetaObject,
resource_update_model=UserUpdate,
resource_create_model=UserCreate,
resource_model=User,
protected_relationships=["posts"],
id_type=UUID,
policies_universal=[verify_session],
policies_create=[hash_user_password],
controller_extension=UserController
)
Notice that you don't need to instantiate your controller!
CruddyController
extension classes passed to the Resource
definition will be setup()
BEFORE the auto-generated CRUD routes but AFTER SQL Alchemy has resolved model relationships. This ensures that your user-defined routes receive priority for incoming HTTP requests. If extension classes were not loaded first, then the CRUD handlers would almost always intercept the incoming request first.
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ControllerConfigurator
The ControllerConfigurator
is a configuration function invoked by the Resource
class after SQL Alchemy has resolved all model relationships. You shouldn't need to interact with this function, but if you're a super advanced user, or wunderkind, maybe you will find a reason to need this. In essence, this function builds out all of the basic CRUD logic for a resource, after the resource has constructed a repository and generated the shadow schemas for your models. This is where your CRUD routes and sub-routes are auto-magically configured.
The controller/router configured by each of your Resource
objects will allow the base resource or its relationships to be queried from the client via an arbitrarily complex where
object (JSON encoded query parameter).
Invalid attributes or ops are just dropped. (May change in the future)
Improvements that will be made in the near future:
- Conditional table joins for relationships to...
- Make resources searchable with joined relationships via dot notation in the
where
object! - Maybe throw an error if a bad search field is sent? (Will help UI devs)
Clients can build an arbitrarily deep query with a JSON dictionary, sent via a query parameter in a JSON object that generally contains all possible filter operators along with "and," "or," and "not" conditions.
Field level and boolean operators begin with a * character. This will nearly always translate down to the sqlalchemy level, where it is up to the model class to determine what operations are possible on each model attribute. The top level query of a where
object is an implicit AND. To do an OR, the base key of the search must be *or
, as in the below examples:
/resource?where={"*or":{"first_name":"bilbo","last_name":"baggins"}}
/resource/{id}/relationship?where={"*or":{"first_name":{"*contains":"bilbo"},"last_name":"baggins"}}
/resource?where={"*or":{"first_name":{"*endswith":"bilbo"},"last_name":"baggins","*and":{"email":{"*contains":"@"},"first_name":{"*contains":"helga"}}}}
/resource?where={"*or":{"first_name":{"*endswith":"bilbo"},"last_name":"baggins","*and":[{"email":{"*contains":"@"}},{"email":{"*contains":"helga"}}]}}
The following query would be an implicit *and:
/resource?where=[{"first_name":{"*endswith":"bilbo"}},{"last_name":"baggins"}]
As would the following query:
/resource/{id}/relationship?where={"first_name":{"*endswith":"bilbo"},"last_name":"baggins"}
"Dot" notation is currently supported for JSON or JSON-like columns. The following queries showcase this:
/resource?where={"user.config.favoriteColor":{"*eq":"black"}}
/resource?where={"favorites.":{"*contained_by":{"tags":["foo","bar","baz]}}}
/resource?where={"favorites.tags":{"*contains":["foo"]}}
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AbstractRepository
The AbstractRepository
is a helpful way to interact with the data layer of your models. It contains all of the underlying functions that the Resource
and Controller
objects use to query, create, update, and delete your database information. Each Resource
you define will automatically create an AbstractRepository
instance that manages it. This can be accessed in your application at your_resource_instance.repository
. The methods available to you via this repository instance are:
async def create(data: CruddyModel, request: Request = None)
async def get_by_id(id: UUID | int | str, request: Request = None)
async def update(id: UUID | int | str, data: CruddyModel, request: Request = None)
async def delete(id: UUID | int | str, request: Request = None)
async def get_all(page: int = 1, limit: int = 10, columns: list[str] = None, sort: list[str] = None, where: Json = None, request: Request = None)
async def get_all_relations(id: UUID | int | str = ..., relation: str = ..., relation_model: CruddyModel = ..., relation_view: CruddyModel = ..., page: int = 1, limit: int = 10, columns: list[str] = None, sort: list[str] = None, where: Json = None, request: Request = None)
async def set_many_many_relations(id: UUID | int | str, relation: str = ..., relations: list[UUID | int | str] = ..., request: Request = None)
async def set_one_many_relations(id: UUID | int | str, relation: str = ..., relations: list[UUID | int | str] = ..., request: Request = None)
Generally, these functions do about what you would expect them to do. More documentation will be added to describe their function soon. Please read nuances below, however, as it applies to how x-to-Many relationships are managed via the automatic CRUD routes.
Important AbstractRepository Nuances
set_many_many_relations
and set_one_many_relations
both destroy and then re-create the x-to-Many relationships they target. If a user
with the id of 1 was a member of groups
1, 2, and 3, then calling await user_repository.set_many_many_relations(1, 'groups', [4,5,6])
would result in user
1 being a member of only groups 4,5, and 6 after execution. Client applications should be aware of this functionality, and always send ALL relationships that should still exist during any relational updates.
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Validators / Checkers
fastapi-cruddy-framework
includes validators and checkers useful to enrich your model definitions by exporting field_checkers
, field_validators
, and field_errors
objects. These objects are all simple re-exports of the core validators
, checkers
and errors
from validator-collection. For additional documentation on what is available, see that project's README.
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WebsocketConnectionManager
fastapi-cruddy-framework
includes a relatively full-featured WebsocketConnectionManager
that offers many of the same features as other great websocket libraries, such as socket.io. The easiest way to see the full capabilities of the websocket manager is to look at the example server used to test this library! For instance, here and here you can see how to instantiate a WebsocketConnectionManager
. You can then bind an instance of a WebsocketConnectionManager
to your ApplicationRoute
, as seen here, using the async context manager's .connect()
function to initiate a bidirectional websocket context that supports broadcasts, rooms, direct socket-to-socket messages, kill commands, a custom socket identity hook (to identify or kill many sockets owned by the same user), and a horizontally scaling control plane where you can even plugin your own custom commands! Note that you need to .startup()
and .dispose()
of a WebsocketConnectionManager
in your application's lifespan
hook, as seen here.
The WebsocketConnectionManager
will receive more thorough documentation in the future when it becomes more stable, but it is fully tested in it's current state and is very reliable!
Note that currently the WebsocketConnectionManager
requires redis
to function. In the future, other broker types may be added as well! The pub/sub aspect is delegated to a separate class under the hood.
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BrowserTestClient
The BrowserTestClient
is a useful helper class to enable test suites to "boot" a Cruddy based app, and then use different virtual "browsers" to execute API tests against the app at the same time, against the same app instance. For usage examples, see tests/conftest.py
and tests/crud/*.py
. BrowserTestClient
is designed to use the async ASGI server runner TestClient
, which is re-exported from async-asgi-testclient. Assuming your app has some level of authentication present you could setup your own conftest.py to look like:
from logging import getLogger
from asyncio import get_event_loop_policy, sleep
from pytest import fixture, mark
from fastapi import FastAPI
from fastapi_cruddy_framework import TestClient, BrowserTestClient
logger = getLogger(__name__)
FAKE_AUTH_TOKEN = "somefaketokenvalue"
FAKE_AUTH_QP = f"?auth_token={FAKE_AUTH_TOKEN}"
FAKE_AUTH_HEADERS = {"Authorization": f"Bearer {FAKE_AUTH_TOKEN}"}
@fixture(scope="session", autouse=True)
def event_loop():
loop = get_event_loop_policy().new_event_loop()
yield loop
loop.close()
@fixture(scope="session", autouse=True)
async def app():
from your_app.main import app
yield app
@fixture(scope="session", autouse=True)
async def client(app: FastAPI):
async with TestClient(app, use_cookies=False) as client:
while (await client.get("/health")).json() != True:
await sleep(0.5)
yield client
@fixture(scope="session", autouse=True)
async def unauthenticated_client(client: TestClient):
blank_client = BrowserTestClient(client=client, cookies=None, headers=None)
yield blank_client
@fixture(scope="session", autouse=True)
async def authenticated_client(client: TestClient):
sessioned_client = BrowserTestClient(
client=client, cookies=None, headers=FAKE_AUTH_HEADERS
)
await sessioned_client.get(f"/users/authorization{FAKE_AUTH_QP}")
yield sessioned_client
@fixture(scope="function")
async def authenticated_websocket(authenticated_client: BrowserTestClient):
async with authenticated_client.websocket_connect("/ws") as websocket:
yield websocket
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Where Queries
Additional documentation will be added soon on complete functionality supported via the CRUD endpoint / AbstractRepository where
parameter.
NEW QUERY FEATURES
Column casting!
To cast a column to a different type during a query, send a where payload like one of the examples below.
A tsvector
cast:
where = {"column_name:tsvector:english": {"*websearch_to_tsquery": "foo or bar -baz"}}
The query stage's casting key name for tsvector
should match the format <column_name>:tsvector:<vector language>
.
tsvector
is the most complicated form of casting, as it requires the cast type (tsvector) as well as the tsvector language (english, or another langauge) in the key definition.
tsvector
then supports the following query operators at the next level: *websearch_to_tsquery
and *match
, both of which mirror the sqlalchemy docs regarding functionality.
To add a tsvector
field to your cruddy data model, complete with proper indexing for performance, add the following to your table model class:
from typing import Any
from sqlmodel import Field, cast, func, Text
from sqlalchemy import Column, Index, literal_column
from sqlalchemy.dialects.postgresql import JSONB, UUID as psqlUUID
from fastapi_cruddy_framework import CruddyModel, CruddyCreatedUpdatedMixin, UUID, uuid7
class ExampleUpdate(CruddyModel):
data: Any = Field(
schema_extra={
"json_schema_extra": {
"example": {
"some": {
"key": "value"
}
}
}
}
)
class ExampleCreate(ExampleUpdate):
pass
class Example(CruddyCreatedUpdatedMixin(), ExampleCreate, table=True):
id: UUID = Field(
sa_column=Column(
psqlUUID(as_uuid=True),
primary_key=True,
index=True,
nullable=False,
default=uuid7,
)
)
data: Any = Field(
default=None,
sa_column=Column(JSONB, nullable=True, default=None),
)
__table_args__ = (
Index("ix_Example_data_gin", "data", postgresql_using="gin"),
Index('ix_Example_data_tsvector', func.to_tsvector(literal_column("'english'"), cast(data.sa_column, Text)), postgresql_using="gin"),
)
A Text
(or any other) cast:
where = {"a_json_column_name:Text": {"*icontains": "some substring"}}
The query stage's casting key name should match the format <column_name>:<cast type>
.
Generally cast types are straightforward and expect a query operator and input type that can be mapped to the column's casted type. Supported column cast types are:
array
tsvector
BigInteger
Boolean
Date
DateTime
Double
Enum
Float
Integer
Interval
LargeBinary
MatchType
Numeric
SmallInteger
String
Text
Time
Unicode
UnicodeText
Uuid
ARRAY
BIGINT
BINARY
BLOB
BOOLEAN
CHAR
CLOB
DATE
DATETIME
DECIMAL
DOUBLE
DOUBLE_PRECISION
FLOAT
INT
INTEGER
JSON
NCHAR
NUMERIC
NVARCHAR
REAL
SMALLINT
TEXT
TIME
TIMESTAMP
UUID
VARBINARY
VARCHAR
Value casting!
Datetime value with timezone:
where = {"datetime_column": {"*gt": {"*datetime": "2024-02-14T19:17:40.860657Z"}}}
Datetime value without timezone:
where = {"datetime_column": {"*gt": {"*datetime_naive": "2024-02-14T19:17:40.860657Z"}}}
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GraphQL
Cruddy now supports GraphQL Read Operations! The GraphQL class APIs are considered unstable at the moment, but the GraphQL feature set is still secure, so it is safe to add it on top of your APIs!
For examples on how to integrate GraphQL functionality with your cruddy-based app, inspect the example server.
Additional documentation will be added once the GraphQL API stabilizes! The cruddy exports that are directly needed to enable GraphQL are:
GraphQLController
GraphQLRequestCache
GraphQLResolverService
create_module_resolver
graphql_where_synthesizer
generate_gql_loader_and_type
GQL_WHERE_REPLACEMENT_CHARACTER
CruddyGQLDateTime
CruddyGQLObject
CruddyGQLArray
CruddyCreatedUpdatedGQLOverrides
CruddyGQLOverrides
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Contributing
To work on this repository, you need to take the following steps first:
- Use python 3.10+ for your local python environment. (library relies on alternative union syntax)
- Install
pre-commit
globally by using the command pip install pre-commit
(This will be used to manage pre-commit git hooks) - Clone this project
git clone https://github.com/mdconaway/fastapi-cruddy-framework.git
or git clone git@github.com:mdconaway/fastapi-cruddy-framework.git
cd
into this project directory.- Run
make install
to install all dependencies and setup git pre-commit hooks! - Use
make run-example-sqlite
to hoist an example server while operating on the framework. - Use
make test
to confirm functionality and ensure there are no regressions after modification. - Submit
pull
requests for new feature additions.
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License
Distributed under the MIT License. See LICENSE
for more information.
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