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falcon-autocrud-1.0.9
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Makes RESTful CRUD easier
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | falcon-autocrud-1.0.9 |
| نام | falcon-autocrud |
| نسخه کتابخانه | 1.0.9 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | Gary Monson |
| ایمیل نویسنده | gary.monson@gmail.com |
| آدرس صفحه اصلی | https://bitbucket.org/garymonson/falcon-autocrud |
| آدرس اینترنتی | https://pypi.org/project/falcon-autocrud/ |
| مجوز | MIT |
Falcon-AutoCRUD
===============
Makes RESTful CRUD easier.
Test status
-----------
|Codeship Status for garymonson/falcon-autocrud|
IMPORTANT CHANGE IN 1.0.0
-------------------------
Previously, the CollectionResource and SingleResource classes took
db\_session as a parameter to the constructor. As of 1.0.0, they now
take db\_engine instead. The reason for this is to keep the sessions
short-lived and under autocrud's control to explicitly close the
sessions.
This WILL impact you as your routing should now pass the db\_engine
instead of the db\_session, and if you override these classes, then, if
you have overridden the constructor, you may also have to update that.
Quick start for contributing
----------------------------
::
virtualenv -p `which python3` virtualenv
source virtualenv/bin/activate
pip install -r requirements.txt
pip install -r dev_requirements.txt
nosetests
This runs the tests with SQLite. To run the tests with Postgres (using
pg8000), you must have a Postgres server running, and a postgres user
with permission to create databases:
::
export AUTOCRUD_DSN=postgresql+pg8000://myuser:mypassword@localhost:5432
nosetests
Some tests are run only when testing on Postgres due to only being
relevant to Postgres, such as when testing features to do with Postgres
data types.
Usage
-----
Declare your SQLAlchemy models:
::
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import create_engine, Column, Integer, String
Base = declarative_base()
class Employee(Base):
__tablename__ = 'employees'
id = Column(Integer, primary_key=True)
name = Column(String(50))
age = Column(Integer)
Declare your resources:
::
from falcon_autocrud.resource import CollectionResource, SingleResource
class EmployeeCollectionResource(CollectionResource):
model = Employee
class EmployeeResource(SingleResource):
model = Employee
Apply them to your app, ensuring you pass an SQLAlchemy engine to the
resource classes:
::
from sqlalchemy import create_engine
import falcon
from falcon_autocrud.middleware import Middleware
db_engine = create_engine('sqlite:///stuff.db')
app = falcon.API(
middleware=[Middleware()],
)
app.add_route('/employees', EmployeeCollectionResource(db_engine))
app.add_route('/employees/{id}', EmployeeResource(db_engine))
This automatically creates RESTful endpoints for your resources:
::
http GET http://localhost/employees
http GET http://localhost/employees?name=Bob
http GET http://localhost/employees?age__gt=24
http GET http://localhost/employees?age__gte=25
http GET http://localhost/employees?age__lt=25
http GET http://localhost/employees?age__lte=24
http GET http://localhost/employees?name__contains=John
http GET http://localhost/employees?name__startswith=John
http GET http://localhost/employees?company_id__null=1
http GET http://localhost/employees?company_id__null=0
echo '{"name": "Jim"}' | http POST http://localhost/employees
http GET http://localhost/employees/100
echo '{"name": "Jim"}' | http PUT http://localhost/employees/100
echo '{"name": "Jim"}' | http PATCH http://localhost/employees/100
http DELETE http://localhost/employees/100
# PATCHing a collection to add entities in bulk
echo '{"patches": [{"op": "add", "path": "/", "value": {"name": "Jim"}}]}' | http PATCH http://localhost/employees
Note that by default, PUT will only update, and will not insert a new
resource if a matching one does not exist at the address. If you wish
new resources to be created, then add the following to your resource:
::
allow_put_insert = True
Limiting methods
~~~~~~~~~~~~~~~~
By default collections will autogenerate methods GET, POST and PATCH,
while single resources will autogenerate methods GET, PUT, PATCH,
DELETE.
To limit which methods are autogenerated for your resource, simply list
method names as follows:
::
# Able to create and search collection:
class AccountCollectionResource(CollectionResource):
model = Account
methods = ['GET', 'POST']
# Only able to read individual accounts:
class AccountResource(CollectionResource):
model = Account
methods = ['GET']
Pre-method functionality.
~~~~~~~~~~~~~~~~~~~~~~~~~
To do something before a POST or PATCH method is called, add special
methods as follows:
::
class AccountCollectionResource(CollectionResource):
model = Account
def before_post(self, req, resp, db_session, resource, *args, **kwargs):
# Anything you do with db_session is in the same transaction as the
# resource creation. Resource is the new resource not yet added to the
# database.
pass
class AccountResource(SingleResource):
model = Account
def before_patch(self, req, resp, db_session, resource, *args, **kwargs):
# Anything you do with db_session is in the same transaction as the
# resource update. Resource is the modified resource not yet saved to
# the database.
pass
def before_delete(self, req, resp, db_session, resource, *args, **kwargs):
# Anything you do with db_session is in the same transaction as the
# resource delete. Resource is the resource to be deleted (or "marked as
deleted" - see section on "not really deleting").
pass
Post-method functionality
~~~~~~~~~~~~~~~~~~~~~~~~~
To do something after success of a method, add special methods as
follows:
::
class AccountCollectionResource(CollectionResource):
model = Account
def after_get(self, req, resp, collection, *args, **kwargs):
# 'collection' is the SQLAlchemy collection resulting from the search
pass
def after_post(self, req, resp, new, *args, **kwargs):
# 'new' is the created SQLAlchemy instance
pass
def after_patch(self, req, resp, *args, **kwargs):
pass
class AccountResource(CollectionResource):
model = Account
def after_get(self, req, resp, item, *args, **kwargs):
# 'item' is the retrieved SQLAlchemy instance
pass
def after_put(self, req, resp, item, *args, **kwargs):
# 'item' is the changed SQLAlchemy instance
pass
def after_patch(self, req, resp, item, *args, **kwargs):
# 'item' is the patched SQLAlchemy instance
pass
def after_delete(self, req, resp, item, *args, **kwargs):
pass
Be careful not to throw an exception in the above methods, as this will
end up propagating a 500 Internal Server Error.
Modifying a patch
~~~~~~~~~~~~~~~~~
If you want to modify the patched resource before it is saved (e.g. to
set default values), you can override the default empty method in
SingleResource:
::
class AccountResource(SingleResource):
model = Account
def modify_patch(self, req, resp, resource, *args, **kwargs):
"""
Add 'arino' to people's names
"""
resource.name = resource.name + 'arino'
Identification and Authorization
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Define classes that know how to identify and authorize users:
::
class TestIdentifier(object):
def identify(self, req, resp, resource, params):
req.context['user'] = req.get_header('Authorization')
if req.context['user'] is None:
raise HTTPUnauthorized('Authentication Required', 'No credentials supplied')
class TestAuthorizer(object):
def authorize(self, req, resp, resource, params):
if 'user' not in req.context or req.context['user'] != 'Jim':
raise HTTPForbidden('Permission Denied', 'User does not have access to this resource')
Then declare which class identifies/authorizes what resource or method:
::
# Authorizes for all methods
@identify(TestIdentifier)
@authorize(TestAuthorizer)
class AccountCollectionResource(CollectionResource):
model = Account
# Or only some methods
@identify(TestIdentifier)
@authorize(TestAuthorizer, methods=['GET', 'POST'])
@authorize(OtherAuthorizer, methods=['PATCH'])
class OtherAccountCollectionResource(CollectionResource):
model = Account
Filters/Preconditions
~~~~~~~~~~~~~~~~~~~~~
You may filter on GET, and set preconditions on single resource PATCH or
DELETE:
::
class AccountCollectionResource(CollectionResource):
model = Account
def get_filter(self, req, resp, query, *args, **kwargs):
# Only allow getting accounts below id 5
return query.filter(Account.id < 5)
class AccountResource(SingleResource):
model = Account
def get_filter(self, req, resp, query, *args, **kwargs):
# Only allow getting accounts below id 5
return query.filter(Account.id < 5)
def patch_precondition(self, req, resp, query, *args, **kwargs):
# Only allow setting owner of non-owned account
if 'owner' in req.context['doc'] and req.context['doc']['owner'] is not None:
return query.filter(Account.owner == None)
else:
return query
def delete_precondition(self, req, resp, query, *args, **kwargs):
# Only allow deletes of non-owned accounts
return query.filter(Account.owner == None)
Note that there is an opportunity for a race condition here, where
another process updates the row AFTER the check triggered by
patch\_precondition is run, but BEFORE the row update. This would leave
inconsistent data in your application if the other update would make the
precondition no longer hold.
To prevent this, you can simply add a `versioning
column <http://docs.sqlalchemy.org/en/latest/orm/versioning.html>`__ to
your model. When your model contains such a column, then as long as you
have a precondition to check for the correct conditions before updating,
you will be guaranteed that if another process changes the row in the
meantime, you will fail to update, and a 409 response will be returned.
This doesn't necessarily mean the row no longer conforms to the
precondition, so you can try the update again, and it will update if the
precondition still holds.
This versioning only helps you on an UPDATE, not a DELETE, so if you
want a delete\_precondition to be protected, you will need to use
mark\_deleted to update the row (see "not really deleting", next),
instead of doing a true delete.
Not really deleting
~~~~~~~~~~~~~~~~~~~
If you want to just mark a resource as deleted in the database, but not
really delete the row, define a 'mark\_deleted' in your SingleResource
subclass:
::
class AccountResource(SingleResource):
model = Account
def mark_deleted(self, req, resp, instance, *args, **kwargs):
instance.deleted = datetime.utcnow()
This will cause the changed instance to be updated in the database
instead of doing a DELETE.
Of course, the database row will still be accessible via GET, but you
can automatically filter out "deleted" rows like this:
::
class AccountCollectionResource(CollectionResource):
model = Account
def get_filter(self, req, resp, resources, *args, **kwargs):
return resources.filter(Account.deleted == None)
class AccountResource(SingleResource):
model = Account
def get_filter(self, req, resp, resources, *args, **kwargs):
return resources.filter(Account.deleted == None)
def mark_deleted(self, req, resp, instance, *args, **kwargs):
instance.deleted = datetime.utcnow()
You could also look at the request to only filter out "deleted" rows for
some users.
Joins
~~~~~
If you want to add query parameters to your collection queries, that do
not refer to a resource attribute, but which refer to an attribute in a
linked table, you can do this in get\_filter, as with the below example.
Ensure that you remove the extra parameter value from req.params before
returning from get\_filter, as falcon-autocrud will try (and fail) to
look up the parameter in the main resource class.
::
class Company(Base):
__tablename__ = 'companies'
id = Column(Integer, primary_key=True)
name = Column(String(50), unique=True)
employees = relationship('Employee')
class Employee(Base):
__tablename__ = 'employees'
id = Column(Integer, primary_key=True)
name = Column(String(50), unique=True)
company_id = Column(Integer, ForeignKey('companies.id'), nullable=True)
company = relationship('Company', back_populates='employees')
class EmployeeCollectionResource(CollectionResource):
model = Employee
def get_filter(self, req, resp, query, *args, **kwargs):
if 'company_name' in req.params:
company_name = req.params['company_name']
del req.params['company_name']
query = query.join(Employee.company).filter(Company.name == company_name)
return query
Alternatively, for arguments that are part of the URL you may use
lookup\_attr\_map directly (note that attr\_map is now deprecated - see
below):
::
class CompanyEmployeeCollectionResource(CollectionResource):
model = Employee
lookup_attr_map = {
'company_id': lambda req, resp, query, *args, **kwargs: query.join(Employee.company).filter(Company.id == kwargs['company_id'])
}
This is useful for the following sort of URL:
::
GET /companies/{company_id}/employees
Mapping
~~~~~~~
Mapping used to be done with attr\_map. This is now deprecated in favour
of lookup\_attr\_map and inbound\_attr\_map (since attr\_map was used
for two different purposes before).
To look up an entry via part of the URL:
::
GET /companies/{company_id}/employees
Use the name of the column to map to:
::
class CompanyEmployeeCollectionResource(CollectionResource):
model = Employee
lookup_attr_map = {
'company_id': 'coy_id'
}
Or use a lambda to return a modified query:
::
class CompanyEmployeeCollectionResource(CollectionResource):
model = Employee
lookup_attr_map = {
'company_id': lambda req, resp, query, *args, **kwargs: query.join(Employee.company).filter(Company.id == kwargs['company_id'])
}
You may use inbound\_attr\_map to specify mappings to place the value
from a URL component into another field:
::
class CompanyEmployeeCollectionResource(CollectionResource):
model = Employee
inbound_attr_map = {
'company_id': 'coy_id'
}
Both lookup\_attr\_map and inbound\_attr\_map may have a mapping value
set to None, in which case the mapping key in the URL component is
ignored.
Sorting
~~~~~~~
You can specify a default sorting of results from the collection search.
The below example sorts firstly by name, then by salary descending:
::
class EmployeeCollectionResource(CollectionResource):
model = Employee
default_sort = ['name', '-salary']
The caller can specify a sort (which overrides the default if defined):
::
GET /path/to/collection?__sort=name,-salary
Paging
~~~~~~
The caller can specify an offset and/or limit to collection GET to
provide paging of search results.
::
GET /path/to/collection?__offset=10&limit=10
This is generally most useful in combination with \_\_sort to ensure
consistency of sorting.
Limiting response fields
~~~~~~~~~~~~~~~~~~~~~~~~
You can limit which fields are returned to the client like this:
::
class EmployeeCollectionResource(CollectionResource):
model = Employee
response_fields = ['id', 'name']
Or you can limit them programmatically like this:
::
class EmployeeCollectionResource(CollectionResource):
model = Employee
def response_fields(self, req, resp, resource, *args, **kwargs):
# Determine response fields via things such as authenticated user
return fields
Creating linked resources
~~~~~~~~~~~~~~~~~~~~~~~~~
The collection POST method allows creation of linked resources in the
one POST call. If your model includes a relationship to the linked
resource, you can include the attributes to use in the new linked
resource, and the link will be automatically made in the database:
::
class Company(Base):
__tablename__ = 'companies'
id = Column(Integer, primary_key=True)
name = Column(String(50), unique=True)
employees = relationship('Employee')
class Employee(Base):
__tablename__ = 'employees'
id = Column(Integer, primary_key=True)
name = Column(String(50), unique=True)
company_id = Column(Integer, ForeignKey('companies.id'), nullable=True)
company = relationship('Company', back_populates='employees')
class CompanyCollectionResource(CollectionResource):
model = Company
allow_subresources = True
::
cat post.json
{
name: "Initech",
employees: [
{
name: "Alice"
},
{
name: "Bob"
}
]
}
cat post.json | http POST http://localhost/companies
This will create a company called Initech and two employees, who will be
linked to Initech via Employee.company\_id. Note the that
CollectionResource subclass must have the attribute allow\_subresources
and set it to True, for this feature to be enabled.
Bulk operations
~~~~~~~~~~~~~~~
You can bulk add entities using a PATCH method to a collection. If the
collection is defined in the standard way, you are limited to adding to
only that model:
::
class EmployeeCollectionResource(CollectionResource):
model = Employee
To add to the employee collection, each operation's path must be '/':
::
echo '{"patches": [{"op": "add", "path": "/", "value": {"name": "Jim"}}]}' | http PATCH http://localhost/employees
If you would like to be able to add to multiple types of collection in
one bulk update, define the path and model for each in a special
collection:
::
class RootResource(CollectionResource):
patch_paths = {
'/employees': Employee,
'/accounts': Account,
}
app.add_route('/', RootResource(db_engine))
To add to the collections, each operation's path must be in the defined
patch\_paths:
::
cat patches.json
{
"patches": [
{"op": "add", "path": "/employees", "value": {"name": "Jim"}}
{"op": "add", "path": "/accounts", "value": {"name": "Sales"}}
]
}
cat patches.json | http PATCH http://localhost/employees
All the operations done in a single PATCH are performed within a
transaction.
Naive datetimes
~~~~~~~~~~~~~~~
Normally a datetime is assumed to be in UTC, so they are expected to be
in the format 'YYYY-mm-ddTHH:MM:SSZ', and are also output like that.
Sometimes (not often!) you need to store a "naive" datetime, where time
zone is not relevant (e.g. to store the datetime of a nationwide public
holiday, where the time zone is not relevant, and the "real" date/time
is simply in the local time zone, whatever that might be - i.e. the
client can treat is as being in their own localtime.
For cases such as this, simply list the field among the naive datetimes
like so:
::
class PublicHolidayCollectionResource(CollectionResource):
model = PublicHoliday
naive_datetimes = ['start', 'end']
These fields will then be parsed and returned in the format
'YYYY-mm-ddTHH:MM:SS', i.e. without the 'Z' suffix.
Meta-information
~~~~~~~~~~~~~~~~
To add meta-information to each resource in a collection response,
assuming your models are:
::
class Team(Base):
__tablename__ = 'teams'
id = Column(Integer, primary_key=True)
name = Column(String(50))
characters = relationship('Character')
class Character(Base):
__tablename__ = 'characters'
id = Column(Integer, primary_key=True)
name = Column(String(50))
team_id = Column(Integer, ForeignKey('teams.id'), nullable=True)
team = relationship('Team', back_populates='characters')
Then include the following:
::
catchphrases = {
'Oliver': 'You have failed this city',
'Cisco': "OK, you don't get to pick the names",
}
class CharacterCollectionResource(CollectionResource):
model = Character
resource_meta = {
'catchphrase': lambda resource: catchphrases.get(resource.name, None)
}
To add meta-information to the top level of a single resource response,
include the following:
::
catchphrases = {
'Oliver': 'You have failed this city',
'Cisco': "OK, you don't get to pick the names",
}
class CharacterResource(SingleResource):
model = Character
meta = {
'catchphrase': lambda resource: catchphrases.get(resource.name, None)
}
You can join another table to get the meta information:
::
class CharacterCollectionResource(CollectionResource):
model = Character
resource_meta = {
'catchphrase': lambda resource, team_name: catchphrases.get(resource.name, None),
'team_name': lambda resource, team_name: team_name,
}
extra_select = [Team.name]
def get_filter(self, req, resp, query, *args, **kwargs):
return query.join(Team)
class CharacterResource(SingleResource):
model = Character
meta = {
'catchphrase': lambda resource, team_name: catchphrases.get(resource.name, None),
'team_name': lambda resource, team_name: team_name,
}
extra_select = [Team.name]
def get_filter(self, req, resp, query, *args, **kwargs):
return query.join(Team)
You can even use SQL functions to calculate the values in the
meta-information:
::
from sqlalchemy import func
class TeamCollectionResource(CollectionResource):
model = Team
resource_meta = {
'team_size': lambda resource, team_size: team_size,
}
extra_select = [func.count(Character.id)]
def get_filter(self, req, resp, query, *args, **kwargs):
return query.join(Character).group_by(Team.id)
class TeamResource(SingleResource):
model = Team
meta = {
'team_size': lambda resource, team_size: team_size,
}
extra_select = [func.count(Character.id)]
def get_filter(self, req, resp, query, *args, **kwargs):
return query.join(Character).group_by(Team.id)
Or you can determine them entirely programmatically like this:
::
class TeamCollectionResource(CollectionResource):
model = Team
def resource_meta(self, req, resp, resource, team_size, *args, **kwargs):
return {
'team_size': team_size,
}
extra_select = [func.count(Character.id)]
def get_filter(self, req, resp, query, *args, **kwargs):
return query.join(Character).group_by(Team.id)
class TeamResource(SingleResource):
model = Team
def meta(self, req, resp, resource, team_size, *args, **kwargs):
return {
'team_size': team_size,
}
extra_select = [func.count(Character.id)]
def get_filter(self, req, resp, query, *args, **kwargs):
return query.join(Character).group_by(Team.id)
The advantage of using the above method is that the keys can also be
determined at runtime, and may change in difference circumstances (e.g.
according to query parameters, or the permissions of the caller). To
include NO meta at all for the resource, return None from
``resource_meta`` or ``meta`` functions.
Access to submitted data
~~~~~~~~~~~~~~~~~~~~~~~~
Note that the request body can be accessed (e.g. in pre-method
functionality function) either from ``req.context['doc']`` (as JSON), or
the original binary body content is available in
``req.context['request_body']`` if you specify that the HTTP method
should retain it:
::
class TeamResource(CollectionResource):
model = Team
keep_request_body = ['POST']
.. |Codeship Status for garymonson/falcon-autocrud| image:: https://codeship.com/projects/ed5bb4c0-b517-0133-757f-3e023a4cadff/status?branch=master
:target: https://codeship.com/projects/134046
نحوه نصب
نصب پکیج whl falcon-autocrud-1.0.9:
pip install falcon-autocrud-1.0.9.whl
نصب پکیج tar.gz falcon-autocrud-1.0.9:
pip install falcon-autocrud-1.0.9.tar.gz