atx-data-processor

Process data from atx-database

Code Climate Status

Setup Instructions

1. Install Pip

2. Install Anaconda

Linux

wget https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh

bash ./Miniconda3-latest-Linux-x86_64.sh

MacOS

brew cask install anaconda

export PATH="/usr/local/anaconda3/bin:$PATH"

Clone atx-data-processor

git clone https://github.com/algotradeX/atx-data-processor.git

Run virtual env

conda create -n atx-dp-env python=3.7

To activate this environment, use
$ conda activate atx-dp-env
To deactivate an active environment, use
$ conda deactivate

conda activate atx-dp-env

Install Packages

pip install -r requirements.txt

Update package and versions in requirements.txt

pip freeze > requirements.txt

Run application

python atx_data_processor_master.py

started atx-data-processor mongo connector {}
started atx-data-processor server {}
 * Serving Flask app "atxdataprocessor.server" (lazy loading)
 * Environment: production
   WARNING: This is a development server. Do not use it in a production deployment.
   Use a production WSGI server instead.
 * Debug mode: off
 * Running on http://0.0.0.0:8420/ (Press CTRL+C to quit)

Linting and Formatter

Formatting using black

black src/ atx_data_processor_master.py

Linting using flake8

flake8 src/ atx_data_processor_master.py

Install the hooks

Install the git hooks defined in the pre-commit file by running the following in the terminal:

pre-commit install

Run the hooks

If this is an already existing project you may want to go ahead and format all the files. You can do this by running the following in the terminal:

pre-commit run --all-files

This will run all the git hooks you've installed against all files. At this point you can review the messages and make corrections as necessary. You can re-run the command until there are no longer any warnings.

Finally, commit all the new changes! From now on when you stage files to be committed only those will be formatted and linted by black and flake8.