Python bindings for the ClearMacro API
Project description
ClearMacro
The ClearMacro Python library provides convenient access to the ClearMacro API from applications written in the Python language.
Getting Started
The library can be easily developed using pipenv. The easiest way to start working with the library is to develop inside a Docker container, running the following command:
docker run -it -v `pwd`:/work pypy:3 /bin/bash
This will create a Pypy container and attach it to your terminal. Once you navigate to /work
you can begin to develop.
The first commands to run are:
pip install pipenv
pipenv install --dev
Linting
We use flake8
to ensure coding style is enforced across developers. This process also runs in CI/CD so be sure to lint any changes before committing your code.
To lint your code: pipenv run flake8 .
Testing
We use pytest
throughout. This process also runs in CI/CD so ensure all the tests are passing before pushing your changes.
To run unit tests: pipenv run pytest
Integration Tests
To run integration tests against the Mock API, run the following command. The API_URL
assumes a reachable location for the mock API container.
API_URL=http://host.docker.internal:2345 API_USERNAME=test@clearmacro.com API_PASSWORD=test1234 pipenv run pytest tests/integration_client.py
Examples
>>> from core.cmapi import CmApi
>>> api_session = CmApi(username, password)
>>> api_session.get_signal_timeseries("Inflation Surprise Score", "Australia", research_type="Back-test Level")
dateTimes values
0 1999-01-31T23:59:59.99 10.000000
1 1999-02-28T23:59:59.99 10.000000
2 1999-03-31T23:59:59.99 10.000000
3 1999-04-30T23:59:59.99 1.000000
4 1999-05-31T23:59:59.99 3.250000
.. ... ...
255 2020-04-30T23:59:59.99 9.435294
256 2020-05-31T23:59:59.99 9.191406
257 2020-06-30T23:59:59.99 8.914397
258 2020-07-31T23:59:59.99 9.511628
259 2020-08-31T23:59:59.99 6.733591
Project details
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.