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p1dataclientpython 1.8.2

Particle.One Data API

Description
Prerequisites
Installation
Getting a Particle.One token

Quick Start

Data API
EDGAR Data API
Run tests
Useful links

License

Particle.One Data API
Description
This package contains a Python client code to access data and examples of how to
use it.

p1_data_client_python

A Python module wrapping the Data REST API and EDGAR Data REST API into a
Pandas-friendly interface

notebooks/p1_data_client_example.ipynb

An example Jupyter notebook showing how to use the Python module

notebooks/p1_data_api_v1_example.ipynb

An example Jupyter notebook showing how to connect to the Data REST API
directly

notebooks/p1_edgar_data_client_example.ipynb

An example Jupyter notebook showing how to use the EDGAR Data REST API

test/client_examples.py

Minimal example of API and EDGAR clients

Prerequisites

Python version >= 3.7

Installation through PyPI

You can install the Particle.One data python client in 3 different ways:

Install from PyPI:
pip install p1_data_client_python

Install and build from the source

Assuming the name of the Github repo is <GITHUB_REPO> (e.g.,
p1_data_client_python)
pip install git+https://github.com/ParticleDev/<INSERT_GITHUB_REPO_NAME>.git

Install without building the package from source:

# Check out the code.
git clone git@github.com:ParticleDev/<INSERT_GITHUB_REPO_NAME>.git
cd p1_data_client_python

# Create environment.
python3 -m venv ./venv
source venv/bin/activate
pip install -r requirements.txt

Test that the package is visible:
python -c "import p1_data_client_python; print(p1_data_client_python)"
<module 'p1_data_client_python' (namespace)>

> python -c "import p1_data_client_python.version as version; print(version.VERSION)"

When installing from source, you need to add the path of this package to
PYTHONPATH, e.g.:
export PYTHONPATH=$(pwd):$(pwd)/p1_data_client_python

Getting a Particle.One token

Go to https://particle.one/ and request a free token
The token looks like e44e7c6b04ef3ea1cfb7a8a67db74751c177259e

Configuring through environment variables

To use the notebooks, unit tests, and examples you need to configure the
environment with:
export P1_API_TOKEN='your_api_token_here'
export P1_EDGAR_API_TOKEN='your_edgar_token_here'

E.g., from test/set_env_vars.sh
export P1_API_TOKEN='e44e7c6b04ef3ea1cfb7a8a67db74751c177259e'
export P1_EDGAR_API_TOKEN='8c9c9458b145202c7a6b6cceaabd82023e957a46d6cf7061ed8e1c94a168f2fd'

Run tests (only when installing from source)

After configuring the environment variables, run all tests with:
pytest -vv
=============================================================================================== test session starts ================================================================================================
platform linux -- Python 3.7.3, pytest-6.0.2, py-1.9.0, pluggy-0.13.1
rootdir: /wd/saggese/src/p1_data_client_python
plugins: openfiles-0.4.0, astropy-header-0.1.2, flaky-3.7.0, doctestplus-0.4.0, remotedata-0.3.1, arraydiff-0.3, hypothesis-5.3.0
collected 20 items

test/test_client.py ....
test/test_client_jupyter.py .
test/test_client_mock.py ....
test/test_edgar_client.py ........
test/test_edgar_client_mock.py ...
================================================================================================ 9 passed in 3.46s =================================================================================================

Notebook

After configuring the environment variables, run a notebook server with:
jupyter notebook '--ip=*' --browser chrome . --port 9999

Useful links

GitHub repo

https://github.com/ParticleDev/p1_data_client_python

Rest API documentation

https://doc.particle.one

Data entry point

https://data.particle.one

License
MIT License