hapic in a nutshell

hapic is a framework-agnostic library for coding professionnal REST APIs.

Philosophy

hapic as been developed by algoo in the context of a large service oriented project. The lack of a tool allowing real auto-documentation of Rest API has decided us to develop hapic.

target usage is not for "quick and dirty" stuff but for professionnal, maintainable, long-term targeted projects.

The separation of concerns between REST APIs layer and business stuff layer is in the DNA of hapic.

hapic is just the HTTP layer glue code over your business code.

Direct benefits of using hapic

When you decide to base your development on hapic, you'll get direct benefits:

Ready-to-use

supports aiohttp, flask, pyramid and bottle
ready-to-use with your existing libraries
effortless mapping of exceptions to HTTP errors
serialisation based on marshmallow schemas or serpyco dataclasses

Full API documentation ready

your code IS the documentation
swagger generated documentation
embed the documentation in 1 line of code
supports python 3.5, 3.6 and 3.7

Professionnal and maintanable source code

separation of concerns between business logic and HTTP stuff
very fast when used in conjunction with both aiohttp and serpyco
extensible framework for supporting other web framework and serialisation libraries

Licence

hapic is licenced under the MIT licence. You can use it in your projects, closed or open sourced.

status, contributions

hapic source code is ready for production. Some refactoring are identified and required for maintainability, but public APIs are stable so you can rely on hapic for your developments.

hapic is under active development, based on different professional projects. we will answer your questions and accept merge requests if you find bugs or want to include features.

hapic is automatically tested on python 3.5, 3.6 and 3.7

TODO references

TODOs in the code can include some #xxx - these are github issues references.

Installation

For better performances with yaml module, you can install following (debian instruction):

sudo apt-get install libyaml-dev

libyaml-dev package can be removed after hapic install.

From source code

virtualenv -p /usr/bin/python3 venv
source venv/bin/activate
python setup.py develop

To work with Marshmallow schemas, install necessary dependencies:

pip install -e ".[marshmallow]"

To work with Serpyco dataclasses, install necessary dependencies:

pip install -e ".[serpyco]"

To have full environment (for developpers):

pip install -e ".[dev"]

From pypi

To work with Marshmallow schemas, install necessary dependencies:

pip install hapic[marshmallow]

To work with Serpyco dataclasses, install necessary dependencies:

pip install hapic[serpyco]

Give it a try

short Flask example

from datetime import datetime
import flask
import marshmallow
import hapic
from hapic.ext.flask import FlaskContext
import json

hapic = hapic.Hapic()
app = flask.Flask(__name__)


class UriPathSchema(marshmallow.Schema):  # schema describing the URI and allowed values
    name = marshmallow.fields.String(required=True)
    age = marshmallow.fields.Integer(required=False)


class HelloResponseSchema(marshmallow.Schema): # schema of the API response
    name = marshmallow.fields.String(required=True)
    now = marshmallow.fields.DateTime(required=False)
    greetings = marshmallow.fields.String(required=False)


@app.route('/hello/<name>')  # flask route. must always be before hapic decorators
@hapic.with_api_doc()  # the first hapic decorator. Register the method for auto-documentation
@hapic.input_path(UriPathSchema())  # validate the URI structure
@hapic.output_body(HelloResponseSchema())  # define output structure
def hello(name='<No name>', hapic_data=None):
    return {
        'name': name,
        'now': datetime.now(),
        'dummy': { 'some': 'dummy' }  # will be ignored
    }

class UriPathSchemaWithAge(marshmallow.Schema):  # schema describing the URI and allowed values
    name = marshmallow.fields.String(required=True)
    age = marshmallow.fields.Integer(required=False)


@app.route('/hello/<name>/age/<age>')
@hapic.with_api_doc()
@hapic.input_path(UriPathSchemaWithAge())
@hapic.output_body(HelloResponseSchema())
def hello2(name='<No name>', age=42, hapic_data=None):
    return {
        'name': name,
        'age': age,
        'greetings': 'Hello {name}, it looks like you are {age}'.format(
            name=name,
            age=age
        ),
        'now': datetime.now(),
        'dummy': { 'some': 'dummy' }  # will be ignored
    }


hapic.set_context(FlaskContext(app))
print(json.dumps(hapic.generate_doc(title='API Doc', description='doc desc.')))  # Generate the documentation
app.run('127.0.0.1', 8080, debug=True)

How to use it:

Nominal cases:

$ curl "http://127.0.0.1:8080/hello/michel"
# {"now": "2017-12-18T12:37:10.751623+00:00", "name": "michel"}

$ curl "http://127.0.0.1:8080/hello/michel/age/17"
# {"name": "damien", "greetings": "Hello damien, it looks like you are 17", "now": "2017-12-18T12:41:58.229679+00:00"}

Error case (returns a 400):

$ curl "http://127.0.0.1:8080/hello/michel/age/mistaken"
# {"details": {"age": ["Not a valid integer."]}, "message": "Validation error of input data"}

A complete user API

In the example/usermanagement directory you can find a complete example of an API allowing to manage users.

Features are:

get list of all users
get detail of a given user
create a user
delete a user

In order to test it :

Install the required dependencies:

pip install bottle flask pyramid`

Run the instance you wan to test (one of the three following lines):

python example/usermanagement/serve_bottle.py
python example/usermanagement/serve_flask.py
python example/usermanagement/serve_pyramid.py

Features shown :

auto-generation of the documentation
managing parameters in the uri path
managing input schemas
managing output schema
management of error cases (404, 500, etc)
nice exception handling
automatic dict/object serialization

algoo/hapic