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Installation

Versioning

This library uses SimVer versioning, where a change in the major version number indicates a breaking change and a change in the minor version number indicates a non-breaking change (such as an additional feature or bug fix).

Changelog

The changelog is available here.

Requirements.

This library has been tested on Python 3.6 and higher.

pip install

pip install canopy

You may need to run pip with root permission: sudo pip install canopy.

From a Jupyter Notebook you can run !pip install canopy.

Setuptools

Install via Setuptools.

python setup.py install --user

(or sudo python setup.py install to install the package for all users)

Running Tests

Unit tests can be run with:

pytest canopy

Integration tests can be run with:

pytest integration_tests

To run the integration tests you'll need to ensure you have an environment variable called CANOPY_PYTHON_INTEGRATION_TEST_CREDENTIALS containing the string <client_id>|<client_secret>|<username>|<tenant_name>|<password>.

Getting Started

Example Usage

See the Canopy Python Examples repository for example usage.

Introduction

This package is designed for customers of Canopy Simulations who would like to access the Canopy API from Python, for example using Jupyter Notebooks.

Currently the library is split into two parts:

  • The client generated using the OpenAPI toolset is located in the "canopy/openapi" folder. We don't have a great deal of control over how this code looks, but it should give a fairly complete interface to the main API.

  • One folder up from that in the "canopy" folder we are adding helper functions which wrap common use cases in simple functions. You can also use these functions as a reference to using the OpenAPI generated code.

When using the library you generally start by creating a canopy.Session object. The session object manages authentication, and the caching of user settings. Calling session.authentication.authenticate() before calling OpenAPI generated client functions ensures that you are authenticated and that any expired access tokens are refreshed. Our helper functions will handle calling authenticate before making any calls, so if you are only using our helper functions you won't need to call it yourself.

The session should generally be created once per application. It will automatically dispose itself when the application shuts down. Alternatively you can enclose it in an async with or a with block if you need to create multiple sessions, as shown in the examples below.

If you are using the OpenAPI generated code then you can pass the session.async_client or session.sync_client into the OpenAPI generated API client instance as the api_client parameter as shown below. Passing in async_client will cause it to use asyncio, and you will need to await the calls. Passing in sync_client will cause the calls to complete synchronously.

Our helper functions all use asyncio for efficient parallelisation of downloads, and must therefore be awaited.

The following example shows how to create a session and request some output channels from a study using our helper function:

import canopy
import asyncio

async with canopy.Session(client_id='<your_client_id>', username='<your_username>') as session:
    study_data = await canopy.load_study(session, '<study_id>', 'DynamicLap', ['sRun', 'vCar'])

    # Using the OpenAPI generated client directly:
    study_api = canopy.openapi.StudyApi(session.async_client)
    job_result = await study_api.study_get_study_job_metadata(
        session.authentication.tenant_id,
        '<study_id>',
        0)

    # Using asyncio.ensure_future() to enable us to perform multiple calls in parallel
    job_result_task = asyncio.ensure_future(study_api.study_get_study_job_metadata(
        session.authentication.tenant_id,
        '<study_id>',
        0))

    job_result_2 = await job_result_task

When running this code you will be prompted for your client secret and your password if it is the first time session.authentication.authenticate() has been called for this session instance. Alternatively you can pass the client secret and password into the Session class (after fetching them from a secure location) to avoid being prompted.

If you can't use asyncio and async/await you can instead instantiate the session object synchronously and use the canopy.run method when calling our async helper methods. You can pass session.sync_client into the OpenAPI client classes instead of session.async_client to make them return results synchronously.

import canopy

with canopy.Session(client_id='<your_client_id>', username='<your_username>') as session:
    # Note we are using canopy.run(..) to force the async method to run synchronously.
    # This is a wrapper for asyncio.get_event_loop().run_until_complete(..).
    study_data = canopy.run(canopy.load_study(session, '<study_id>', 'DynamicLap', ['sRun', 'vCar']))

    # Using the OpenAPI generated client synchronously by passing in sync_client:
    study_api = canopy.openapi.StudyApi(session.sync_client)
    job_result = study_api.study_get_study_job_metadata(
        session.authentication.tenant_id,
        '<study_id>',
        0)

    # You can still run synchronous OpenAPI client methods asynchronously using threads if you need to:
    job_result_thread = study_api.study_get_study_job_metadata(
        session.authentication.tenant_id,
        '<study_id>',
        0,
        async_req=True)

    job_result_2 = job_result_thread.get()

Proxy Servers

You can configure your proxy server by passing in a proxy argument to the canopy.Session object:

async with canopy.Session(authentication_data, proxy=canopy.ProxyConfiguration('http://some.proxy.com', 'user', 'pass')) as session:

Updating the OpenAPI Client

You can use the Dockerfile in this repository to create a docker image to generate the new API stubs:

docker image build -t canopy-python-gen:1 .
docker container run -i -t --mount type=bind,src='c:\dev\canopy\canopy-python',dst=/canopy/repo canopy-python-gen:1 /bin/bash

java -jar openapi-generator-cli.jar generate -g python -i https://api.canopysimulations.com/swagger/docs/v1 -o ./gen --package-name "canopy.openapi"
rm -r repo/canopy/openapi
rm -r repo/docs
cp -r gen/canopy/openapi repo/canopy
cp -r gen/docs repo
cp -r gen/README.md repo/OPENAPI_README.md

To regenerate the asyncio files execute:

rm -r gen
java -jar openapi-generator-cli.jar generate -g python -i https://api.canopysimulations.com/swagger/docs/v1 -o ./gen --package-name "canopy.openapi" --library asyncio
mv gen/canopy/openapi gen/canopy/openapi_asyncio
rm -r gen/canopy/openapi_asyncio/api
rm -r gen/canopy/openapi_asyncio/models
rm gen/canopy/openapi_asyncio/configuration.py
rm gen/canopy/openapi_asyncio/exceptions.py
sed -i 's/from canopy\.openapi import rest/from canopy.openapi_asyncio import rest/g' gen/canopy/openapi_asyncio/api_client.py
sed -i '/from canopy.*/d' gen/canopy/openapi_asyncio/__init__.py
sed -i '/# import /d' gen/canopy/openapi_asyncio/__init__.py
echo 'from canopy.openapi_asyncio.api_client import ApiClient' >> gen/canopy/openapi_asyncio/__init__.py
cp -r gen/canopy/openapi_asyncio repo/canopy

Note: The openapi_asyncio/rest.py file will need to be manually modified to support proxy servers after generation. Note: The openapi_asyncio/client_api.py and openapi/client_api.py files will need to be manually modified to support numpy array serialization after generation.

Documentation for OpenAPI Generated Client

OpenAPI generated documentation can be found here.

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Python client library for accessing the Canopy API

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