Awesome

Gaffer Python Client

Features

Persistently connect to a Gaffer rest api to run operations
Connect using PKI certificates and SSL
Generate Python client code for custom Operations, Predicates, Binary Operators and Functions
Turn existing json queries into Python objects

Installation

gafferpy requires Python 3.6+. We do not currently release gafferpy on PyPI, but you can install it over ssh with:

pip install git+https://github.com/gchq/gafferpy.git

Or if you have the source code locally and want any changes you make reflected in your installation, you can run:

pip install -e .

Quick Start

The Python shell connects to a running Gaffer REST API. You can start the Gaffer road-traffic-demo REST server from the Gaffer repository, using the command:

mvn clean install -pl :road-traffic-demo -Proad-traffic-demo,quick

To connect to the running Gaffer API from Python (more information on the Python shell can be found here):

# Import the client library and connector
from gafferpy import gaffer as g
from gafferpy import gaffer_connector

# Instantiate a connector
gc = gaffer_connector.GafferConnector("http://localhost:8080/rest/latest")

Then perform requests against it:

# You can use the connector to perform GET requests
schema = gc.execute_get(g.GetSchema())

# And also run operations
elements = gc.execute_operation(
    operation=g.GetAllElements()
)

# Multiple operations
elements = gc.execute_operations(
    operations=[
        g.GetAllElements(),
        g.Limit(result_limit=3)
    ]
)

# And operation chains
elements = gc.execute_operation_chain(
    operation_chain=g.OperationChain(
        operations=[
            g.GetAllElements(),
            g.Limit(
                truncate=True,
                result_limit=3
            )
        ]
    )
)

See Operations Guide for more examples of operations in Python.

Developer Guide

Coding Style

Please ensure that your coding style is consistent with the rest of the Gaffer project. Guides on the coding style for gafferpy and Gaffer can be found here.

Testing

The gafferpy tests are implemented using tox and pytest. To run the tests, install the gafferpy 'dev' extra:

pip install -e ".[dev]" # the quotes ensure compatibilty with zsh

This will install extra development dependecies for running tests and building documentation.

gafferpy has both unit tests and integration tests - the integration tests use the Road Traffic Example to test the Python API. If this is not running, the integration tests are skipped. It is advisable that the integration tests are run prior to any code commits to ensure they do not fail due to any code changes.

For help starting the Road Traffic Example, see the Quick Start section above.

To run the tests, execute the below from the root directory of gafferpy:

tox

By default, tox will and try run the tests in multiple test envs (different Python versions) - if they do not exist then they are skipped. To run the test for a specifc test env e.g. Python3.9, run:

tox -e py39

Building the documentation

To build the docs locally, assuming you have Make and Python installed, and gafferpy installed with the 'dev' extra:

cd docs
make html

Generating the Python API

gafferpy has the ability to regenerate the Python API based upon the Gaffer REST API that a GafferConnector object is pointing at - a more detailed description and examples of how to do this can be found here.

License

Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at

http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.