weppy-REST
weppy-REST copied to clipboard
REST extension for weppy framework
weppy-REST
weppy-REST is a REST extension for the weppy framework.
Installation
You can install weppy-REST using pip:
pip install weppy-REST
And add it to your weppy application:
from weppy_rest import REST
app.use_extension(REST)
Usage
The weppy-REST extension is intended to be used with weppy models, and it uses application modules to build APIs over them.
Let's say, for example that you have a task manager app, with a Task
model like this:
from weppy.orm import Model, Field
class Task(Model):
title = Field.string()
is_completed = Field.bool()
created_at = Field.datetime()
Then, in order to expose REST apis for your Task
model, you can use the rest_module
method on your application or on any application module:
from myapp import app, Task
tasks = app.rest_module(__name__, 'api_task', Task, url_prefix='tasks')
As you can see, the usage is very similar to the weppy application modules, but we also passed the involved model to the module initialization.
This single line is enough to have a really simple REST api over the Task
model, since under the default behaviour rest modules will expose 5 different routes:
- an index route that will respond to
GET
requests on/tasks
path listing all the tasks in the database - a read route that will respond to
GET
requests on/tasks/<int:rid>
path returning a single task corresponding to the record id of the rid variable - a create route that will respond to
POST
requests on/tasks
that will create a new task in the database - an update route that will respond to
PUT
orPATCH
requests on/tasks/<int:rid>
that will update the task corresponding to the record id of the rid variable - a delete route that will respond to
DELETE
requests on/tasks/<int:rid>
that will delete the task corresponding to the record id of the rid variable.
REST module parameters
The rest_module
method accepts several parameters (bold ones are required) for its configuration:
parameter | default | description |
---|---|---|
import_name | as for standard modules | |
name | as for standard modules | |
model | the model to use | |
serializer | None |
a class to be used for serialization |
parser | None |
a class to be used for parsing |
enabled_methods | str list: index, create, read, update, delete |
the routes that should be enabled on the module |
disabled_methods | [] |
the routes that should be disabled on the module |
list_envelope | 'data' |
the envelope to use on the index route |
single_envelope | None |
the envelope to use on all the routes except for index |
use_envelope_on_parsing | False |
if set to True will use the envelope specified in single_envelope option also on parsing |
url_prefix | None |
as for standard modules |
hostname | None |
as for standard modules |
Customizing the database set
Under default behavior, any REST module will use Model.all()
as the database set on every operation.
When you need to customize it, you can use the get_dbset
decorator.
For example, you may gonna use the weppy auth module:
from myapp import auth
@tasks.get_dbset
def fetch_tasks():
return auth.user.tasks
or you may have some soft-deletions strategies and want to expose just the records which are not deleted:
@tasks.get_dbset
def fetch_tasks():
return Task.where(lambda t: t.is_deleted == False)
Customizing routed methods
You can customize every route of the REST module using its index
, create
, read
, update
and delete
decorators. In the next examples we'll override the routes with the default ones, in order to show the original code behind the default routes.
from weppy import request
@tasks.index()
def task_list(dbset):
rows = dbset.select(paginate=tasks.get_pagination())
return tasks.serialize_many(rows)
As you can see, an index method should accept the dbset
parameter, that is injected by the module. This is the default one or the one you defined with the get_dbset
decorator.
@tasks.read()
def task_single(row):
return tasks.serialize_one(row)
The read method should accept the row
parameter that is injected by the module. Under default behaviour the module won't call your method if it doesn't find the requested record, but instead will return a 404 HTTP response.
@tasks.create()
def task_new():
attrs = tasks.parse_params()
resp = Task.create(**attrs)
if resp.errors:
response.status = 422
return tasks.error_422(resp.errors)
return tasks.serialize_one(resp.id)
The create method won't need any parameters, and is responsible of creating new records in the database.
@tasks.update()
def task_edit(dbset, rid):
attrs = tasks.parse_params()
resp = dbset.where(Task.id == rid).validate_and_update(**attrs)
if resp.errors:
response.status = 422
return tasks.error_422(resp.errors)
elif not resp.updated:
response.status = 404
return tasks.error_404()
return tasks.serialize_one(Task.get(rid))
@tasks.delete()
def task_del(dbset, rid):
deleted = dbset.where(Task.id == rid).delete()
if not deleted:
response.status = 404
return tasks.error_404()
return {}
The update and delete methods are quite similar, since they should accept the dbset
parameter and the rid
one, which will be the record id requested by the client.
All the decorators accept an additional pipeline
parameter that you can use to add custom pipes to the routed function:
@tasks.index(pipeline=[MyCustomPipe()])
def task_index:
# code
Customizing errors
You can define custom methods for the HTTP 404 and 422 errors that will generate the JSON output using the on_404
and on_422
decorators:
@tasks.on_404
def task_404err():
return {'error': 'this is my 404 error'}
@tasks.on_422
def task_422err(errors):
return {'error': 422, 'validation': errors.as_dict()}
Serialization
Under the default behaviour, the REST extension will use the form_rw
attribute of the involved model, and overwrite the results with the contents of the rest_rw
attribute if present.
For example, with this model:
from weppy.orm import Model, Field
class Task(Model):
title = Field.string()
is_completed = Field.bool()
created_at = Field.datetime()
form_rw = {
'id': False,
'created_at': False
}
the REST extension will serialize just the title and the is_completed fields, while with this:
from weppy.orm import Model, Field
class Task(Model):
title = Field.string()
is_completed = Field.bool()
created_at = Field.datetime()
form_rw = {
'id': False,
'created_at': False
}
rest_rw = {
'id': True
}
the REST extension will serialize also the id field.
Serializers
Whenever you need more control over the serialization, you can use the Serializer
class of the REST extension:
from weppy_rest import Serializer
class TaskSerializer(Serializer):
attributes = ['id', 'title']
tasks = app.rest_module(
__name__, 'api_task', Task, serializer=TaskSerializer, url_prefix='tasks')
Serializers are handy when you want to add custom function to serialize something present in your rows. For instance, let's say you have a very simple tagging system:
from weppy.orm import belongs_to, has_many
class Task(Model):
has_many({'tags': 'TaskTag'})
class TaskTag(Model):
belongs_to('task')
name = Field.string()
and you want to serialize the tags as an embedded list in your task. Then you just have to add a tags
method to your serializer:
class TaskSerializer(Serializer):
attributes = ['id', 'title']
def tags(self, row):
return row.tags().column('name')
This is the complete list of rules that the extension will take over serializers:
-
attributes
is read as first step - the
form_rw
andrest_rw
attributes of the model are used to fillattributes
list when this is empty - the fields in the
include
list will be added toattributes
- the fields in the
exclude
list will be removed fromattributes
- every method defined in the serializer not starting with
_
will be called over serialization and its return value will be added to the JSON object in a key named as the method
You can also use different serialization for the list route and the other ones:
from weppy_rest import Serializer, serialize
class TaskSerializer(Serializer):
attributes = ['id', 'title']
class TaskDetailSerializer(TaskSerializer):
include = ['is_completed']
tasks = app.module(
__name__, 'api_task', Task,
serializer=TaskDetailSerializer, url_prefix='tasks')
@tasks.index()
def task_list(dbset):
rows = dbset.select(paginate=tasks.get_pagination())
return serialize(rows, TaskSerializer)
Note: under default behaviour the
serialize
method will use the serializer passed to the module.
Parsing input
Opposite to the serialization, you will have input parsing to parse JSON requests and perform operations on the records.
Under the default behaviour, the REST extension will use the form_rw
attribute of the involved model, and overwrite the results with the contents of the rest_rw
attribute if present.
For example, with this model:
from weppy.orm import Model, Field
class Task(Model):
title = Field.string()
is_completed = Field.bool()
created_at = Field.datetime()
form_rw = {
'id': False,
'created_at': False
}
the REST extension will parse the input to allow just the title and the is_completed fields, while with this:
from weppy.orm import Model, Field
class Task(Model):
title = Field.string()
is_completed = Field.bool()
created_at = Field.datetime()
form_rw = {
'id': False,
'created_at': False
}
rest_rw = {
'id': (True, False)
'created_at': True
}
the REST extension will allow also the created_at field.
Parsers
Very similarly to the Serializer
class, the extension provides also a Parser
one:
from weppy_rest import Parser
class TaskParser(Parser):
attributes = ['title']
tasks = app.rest_module(
__name__, app, 'api_task', Task, parser=TaskParser, url_prefix='tasks')
As for serializers, you can define attributes
, include
and exclude
lists in a parser, and add custom methods that will parse the params:
class TaskParser(Parser):
attributes = ['title']
def created_at(self, params):
# some code
There's also an additional attribute that you can set over a Parser
which is the envelope
one, if you expect to have enveloped bodies over POST
, PUT
and PATCH
requests.
Pagination
REST modules perform pagination over the index route under the default behaviour. This is performed with the paginate
option during the select and the call to the get_pagination
method:
def get_pagination(self):
try:
page = int(request.query_params.page or 1)
assert page > 0
except:
page = 1
try:
page_size = int(
request.query_params.page_size or 20)
assert (10 <= page_size <= 25)
except:
page_size = 20
return page, page_size
You can customize the name of the query params or the default page sizes with the extension configuration, or you can override the method completely with subclassing.
Customizing REST modules
Extension options
This is the list of all the configuration variables available on the extension for customization – the default values are set:
app.config.REST.default_module_class = RESTModule
app.config.REST.default_serializer = Serializer
app.config.REST.default_parser = Parser
app.config.REST.page_param = 'page'
app.config.REST.pagesize_param = 'page_size'
app.config.REST.min_pagesize = 10
app.config.REST.max_pagesize = 25
app.config.REST.default_pagesize = 20
app.config.REST.base_path = '/'
app.config.REST.base_id_path = '/<int:rid>'
This configuration will be used by all the REST modules you create, unless overridden.
Subclassing
Under the default behavior, every REST module will use the RESTModule
class. You can create as many subclasses from this one when you need to apply the same behaviour to several modules:
from weppy_rest import RESTModule
class MyRESTModule(RESTModule):
def init(self):
self.disabled_methods = ['delete']
self.index_pipeline.append(MyCustomPipe())
self.list_envelope = 'objects'
self.single_envelope = self.model.__name__.lower()
def _get_dbset(self):
return self.model.where(lambda m: m.user == session.user.id)
def _index(self, dbset):
rows = dbset.select(paginate=self.get_pagination())
rv = self.serialize_many(rows)
rv['meta'] = {'total': dbset.count()}
return rv
tasks = app.rest_module(
__name__, app, 'api_task', Task, url_prefix='tasks',
module_class=MyRESTModule)
tags = app.rest_module(
__name__, app, 'api_tag', Tag, url_prefix='tags',
module_class=MyRESTModule)
As you can see, we defined a subclass of the RESTModule
one and used the init
method to customize the class initialization for our needs. We strongly recommend to use this method and avoid overriding the __init__
of the class unless you really know what you're doing.
Using the init
method, we disabled the delete route over the module, added a custom pipe over the index route and configured the envelope rules.
Here is a list of variables you may want to change inside the init
method:
- model
- serializer
- parser
- enabled_methods
- disabled_methods
- list_envelope
- single_envelope
- use_envelope_on_parsing
Also, this is the complete list of the pipeline variables and their default values:
def init(self):
self.index_pipeline = [SetFetcher(self)]
self.create_pipeline = []
self.read_pipeline = [SetFetcher(self), RecordFetcher(self)]
self.update_pipeline = [SetFetcher(self)]
self.delete_pipeline = [SetFetcher(self)]
We've also overridden the methods for the database set retrieval and the index route. As you can see, these methods are starting with the _
since are the default ones and you can still override them with decorators. This is the complete list of methods you may want to override instead of using decorators:
-
_get_dbset
-
_index
-
_create
-
_read
-
_update
-
_delete
-
build_error_404
-
build_error_422
There are some other methods you may need to override, like the get_pagination
one or the serialization ones. Please, check the source code of the RESTModule
class for further needs.
License
weppy-REST is released under BSD license. Check the LICENSE file for more details.