An abstraction of the requests library providing a simpler API for consuming HTTP REST APIs
Project description
rest3client
rest3client is an abstraction of the HTTP requests library (https://pypi.org/project/requests/) providing a simpler API for consuming HTTP REST APIs.
The library further abstracts the underlying HTTP requests methods providing equivalent methods for GET, POST, PATCH, PUT and DELETE. The library includes a RESTclient class that implements a consistent approach for processing request responses, extracting error messages from responses, providing standard headers to request methods, and enabling resiliency through integration with the retrying library. The abstraction enables the consumer to focus on their business logic and less on the complexites of setting up requests and processing request responses.
A subclass inheriting RESTclient can override the base methods providing further customization and flexibility including the ability to automatically retry on exceptions.
Supported Authentication Schemes
The library supports most popular authentication schemes:
- No authentication
- Basic authentication
- API Key-based authentication
- Bearer token authentication
- Token authentication
- Certificate-based authentication
- JWT authentication
Installation
pip install rest3client
API Usage
The examples below show how RESTclient can be used to consume the GitHub REST API. However RESTclient can be used to consume just about any REST API.
>>> from rest3client import RESTclient
RESTclient
Authentication
# no authentication
>>> client = RESTclient('api.github.com')
# basic authentication
>>> client = RESTclient('my-api.my-company.com', username='--my-user--', password='--my-password--')
# bearer token authentication
>>> client = RESTclient('api.github.com', bearer_token='--my-token--')
# token authentication
>>> client = RESTclient('codecov.io', token='--my-token--')
# certificate-based authentication
>>> client = RESTclient('my-api.my-company.com', certfile='/path/to/my-certificate.pem', certpass='--my-certificate-password--')
# jwt authentication
>>> client = RESTclient('my-api.my-company.com', jwt='--my-jwt--')
GET
request
# return json response
>>> client.get('/rate_limit')['resources']['core']
{'limit': 60, 'remaining': 37, 'reset': 1588898701}
# return raw resonse
>>> client.get('/rate_limit', raw_response=True)
<Response [200]>
POST
request
>>> client.post('/user/repos', json={'name': 'test-repo1'})['full_name']
'soda480/test-repo1'
>>> client.post('/repos/soda480/test-repo1/labels', json={'name': 'label1', 'color': '#006b75'})['url']
'https://api.github.com/repos/soda480/test-repo1/labels/label1'
PATCH
request
>>> client.patch('/repos/soda480/test-repo1/labels/label1', json={'description': 'my label'})['url']
'https://api.github.com/repos/soda480/test-repo1/labels/label1'
PUT
request
>>> client.put(endpoint, data=None, json=None, **kwargs)
DELETE
request
>>> client.delete('/repos/soda480/test-repo1')
HEAD
request
>>> response = client.head('/user/repos', raw_response=True)
>>> response.headers
Retries
Add support for retry using the retrying
library: https://pypi.org/project/retrying/
Instantiating RESTclient with a retries
key word argument will decorate all request methods (get
, put
, post
, delete
and patch
) with a retry decorator using the provided arguments. For example, to retry on any error waiting 2 seconds between retries and limiting retry attempts to 3.
>>> client = RESTclient('api.github.com', retries=[{'wait_fixed': 2000, 'stop_max_attempt_number': 3}])
Multiple retry specifications can be provided, however the arguments provided must adhere to the retrying specification.
Specifying retries for specific exceptions in subclasses is simple. RESTclient will automatically discover all retry methods defined in subclasses and decorate all request methods accordingly. Arguments for the retry decorator must be provided in the docstring for the respective retry method. Retry methods must begin with retry_
.
For example:
@staticmethod
def retry_connection_error(exception):
""" return True if exception is ProxyError False otherwise
retry:
wait_random_min:10000
wait_random_max:20000
stop_max_attempt_number:6
"""
if isinstance(exception, ProxyError):
return True
return False
Adding the method above to a subclass of RESTclient will have the affect of decorating all the request methods with the following decorator:
@retry(retry_on_exception=retry_connection_error, 'wait_random_min'=10000, 'wait_random_max'=20000, 'stop_max_attempt_number'=6)
You also have the option of overriding any of the retry argument with environment variables. The environment variable must be of the form ${retry_method_name}_${argument}
in all caps. For example, setting the following environment variables will override the static settings in the retry_connection_error
method docstring:
export RETRY_CONNECTION_ERROR_WAIT_RANDOM_MIN = 5000
export RETRY_CONNECTION_ERROR_WAIT_RANDOM_MAX = 15000
Real Eamples
See GitHub3API for an example of how RESTclient can be subclassed to provide further custom functionality for a specific REST API (including retry on exceptions).
CLI Usage
RESTclient comes packaged with a command line interace (CLI) that can be used to consume REST APIs using the RESTclient class. To consume the CLI simply build and run the Docker container as described below, except when building the image exclude the --target build-image
argument.
usage: rest [-h] [--address ADDRESS] [--json JSON_DATA]
[--headers HEADERS_DATA] [--attributes ATTRIBUTES] [--debug]
[--raw] [--key]
method endpoint
A CLI for rest3client
positional arguments:
method HTTP request method
endpoint REST API endpoint
optional arguments:
-h, --help show this help message and exit
--address ADDRESS HTTP request web address
--json JSON_DATA string representing JSON serializable object to send
to HTTP request method
--headers HEADERS_DATA
string representing headers dictionary to send to HTTP
request method
--attributes ATTRIBUTES
attributes to filter from response - if used with
--raw will filter from headers otherwise will filter
from JSON response
--debug display debug messages to stdout
--raw return raw response from HTTP request method
--key return key value in response - only if response is a
dictionary containing a single key value
Set environment variables prefixed with R3C_
.
To set the web address of the API:
export R3C_ADDRESS=my-api.my-company.com
For bearer token authentication:
export R3C_BEARER_TOKEN=--my-token--
For token authentication:
export R3C_TOKEN=--my-token--
For basic authentication:
export R3C_USERNAME='--my-username--'
export R3C_PASSWORD='--my-password--'
For certificate-based authentication:
export R3C_CERTFILE='/path/to/my-certificate.pem'
export R3C_CERTPASS='--certificate-password--'
For jwt-based authentication:
export R3C_JWT=--my-jwt--
Some examples for how to execute the CLI to consume the GitHUB API:
rest POST /user/repos --json "{'name': 'test-repo1'}" --attributes "name, private, description, permissions"
rest GET /user/repos --attributes "name, full_name, private, description, permissions"
rest POST /repos/soda480/test-repo1/labels --json "{'name': 'label1', 'color': 'C7EFD5'}" --attributes url
rest PATCH /repos/soda480/test-repo1/labels/label1 --json "{'description': 'my label'}" --attributes url
rest DELETE /repos/soda480/test-repo1/labels/label1
rest GET /repos/soda480/test-repo1/labels --attributes name
rest DELETE /repos/soda480/test-repo1 --debug
rest GET /rate_limit --raw
Development
Ensure the latest version of Docker is installed on your development server. Fork and clone the repository.
Build the Docker image:
docker image build \
--target build-image \
--build-arg http_proxy \
--build-arg https_proxy \
-t \
rest3client:latest .
Run the Docker container:
docker container run \
--rm \
-it \
-e http_proxy \
-e https_proxy \
-v $PWD:/rest3client \
rest3client:latest \
/bin/sh
Execute the build:
pyb -X
NOTE: commands above assume working behind a proxy, if not then the proxy arguments to both the docker build and run commands can be removed.
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