falcon-autocrud 1.0.35

Makes RESTful CRUD easier

Makes RESTful CRUD easier.

Test status

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 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 attr_map directly:

class CompanyEmployeeCollectionResource(CollectionResource):
    model = Employee

    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

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.