• Particle.One Data API
  • Description
  • Prerequisites
  • Installation
  • Getting a Particle.One token
• Quick Start
  • Data API
  • EDGAR Data API
  • Run tests
  • Useful links
• License

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

• Python version >= 3.7

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

1. Install from PyPI:

   pip install p1_data_client_python

2. 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

2. 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

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

• 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'

• 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 =================================================================================================

• After configuring the environment variables, run a notebook server with:

  jupyter notebook '--ip=*' --browser chrome . --port 9999

• GitHub repo
  • https://github.com/ParticleDev/p1_data_client_python
• Rest API documentation
  • https://doc.particle.one
• Data entry point
  • https://data.particle.one

MIT License